[ { "qid": 1000000, "question": "find terrorist organizations involved in september 11 attacks.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000001, "question": "find terrorist organizations involved in nine-eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000002, "question": "find terrorist organizations involved in nine eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000100, "question": "which terrorist organizations were involved in the september 11 attacks?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000101, "question": "which terrorist organizations were involved in the nine-eleven?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000102, "question": "which terrorist organizations were involved in the nine eleven?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000200, "question": "the september 11 attacks were carried out with the involvement of what terrorist organizations?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000201, "question": "the nine-eleven were carried out with the involvement of what terrorist organizations?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000202, "question": "the nine eleven were carried out with the involvement of what terrorist organizations?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000300, "question": "look for terrorist organizations that were responsible for september 11 attacks.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000301, "question": "look for terrorist organizations that were responsible for nine-eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000302, "question": "look for terrorist organizations that were responsible for nine eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000400, "question": "who did september 11 attacks?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000401, "question": "who did nine-eleven?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000402, "question": "who did nine eleven?", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000500, "question": "locate terrorist groups that participated in the september 11 attacks.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "September 11 attacks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000501, "question": "locate terrorist groups that participated in the nine-eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine-eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 1000502, "question": "locate terrorist groups that participated in the nine eleven.", "answer": [ "al-Qaeda" ], "function": "none", "commonness": -16.667819278902257, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.terrorism.terrorist_organization", "class": "base.terrorism.terrorist_organization", "friendly_name": "Terrorist organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.september_11_2001_attacks", "class": "base.terrorism.terrorist_attack", "friendly_name": "nine eleven", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.terrorism.terrorist_organization.involved_in_attacks", "friendly_name": "Involved in attacks" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.terrorism.terrorist_organization\n VALUES ?x1 { :m.0d0vp3 }\n ?x0 :base.terrorism.terrorist_organization.involved_in_attacks ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000000, "question": "who bred barbaro?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000001, "question": "who bred barbaro the horse?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000100, "question": "who was the breeder of barbaro?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000101, "question": "who was the breeder of barbaro the horse?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000200, "question": "find the breeder of barbaro.", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000201, "question": "find the breeder of barbaro the horse.", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000300, "question": "at which stables was barbaro bred?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000301, "question": "at which stables was barbaro the horse bred?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000400, "question": "who bred the racehorse named barbaro?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000401, "question": "who bred the racehorse named barbaro the horse?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000500, "question": "what stable bred the racehorse barbaro?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "Barbaro", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 2000501, "question": "what stable bred the racehorse barbaro the horse?", "answer": [ "Lael Stables" ], "function": "none", "commonness": -15.725646079343788, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "class": "base.thoroughbredracing.thoroughbred_racehorse_breeder", "friendly_name": "Thoroughbred racehorse breeder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.barbaro", "class": "base.thoroughbredracing.thoroughbred_racehorse", "friendly_name": "barbaro the horse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred", "friendly_name": "Horses bred" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.thoroughbredracing.thoroughbred_racehorse_breeder\n VALUES ?x1 { :m.0bcx0k }\n ?x0 :base.thoroughbredracing.thoroughbred_racehorse_breeder.horses_bred ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000000, "question": "mewtwo is what kind of pokemon?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "Mewtwo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000001, "question": "myuutsu is what kind of pokemon?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "myuutsu", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000002, "question": "myuutwo is what kind of pokemon?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "myuutwo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000100, "question": "what type of pokemon is mewtwo?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "Mewtwo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000101, "question": "what type of pokemon is myuutsu?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "myuutsu", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000102, "question": "what type of pokemon is myuutwo?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "myuutwo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000200, "question": "what is mewtwo's pokemon type?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "Mewtwo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pokemon.pok_mon_type\n VALUES ?x1 { :m.014wp5 }\n ?x1 :base.pokemon.pok_mon.pok_mon_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 3000201, "question": "what is myuutsu's pokemon type?", "answer": [ "Psychic Pokémon" ], "function": "none", "commonness": -21.248555286146384, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pokemon.pok_mon_type", "class": "base.pokemon.pok_mon_type", "friendly_name": "Pokémon type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mewtwo", "class": "base.pokemon.pok_mon", "friendly_name": "myuutsu", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pokemon.pok_mon.pok_mon_type", "friendly_name": "Pokémon type" } ] }, 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AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000101, "question": "lady of the garter is what chivalric rank?", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "lady of the garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000200, "question": "what is the chivalric rank of lady companion of the garter.", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "Lady Companion of the Garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000201, "question": "what is the chivalric rank of lady of the garter.", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "lady of the garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000300, "question": "name the chivalric rank of lady companion of the garter.", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "Lady Companion of the Garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000301, "question": "name the chivalric rank of lady of the garter.", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "lady of the garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000400, "question": "what rank accompanies the lady companion of the garter?", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "Lady Companion of the Garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000401, "question": "what rank accompanies the lady of the garter?", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "lady of the garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.chivalric_rank\n VALUES ?x1 { :m.052l3qy }\n ?x1 :royalty.chivalric_title.rank ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 4000500, "question": "lady companion of the garter is known by which chivalric rank?", "answer": [ "Lady Companion" ], "function": "none", "commonness": -20.158811374247886, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.chivalric_rank", "class": "royalty.chivalric_rank", "friendly_name": "Chivalric Rank", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lady_companion_of_the_garter", "class": "royalty.chivalric_title", "friendly_name": "Lady Companion of the Garter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.chivalric_title.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: 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:law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000100, "question": "the patent for the mouse was filed where?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "Mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000101, "question": "the patent for the tilt wheel was filed where?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "tilt wheel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000102, "question": "the patent for the computer mouse was filed where?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "computer mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000200, "question": "please name the place where the patent mouse filed at.", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "Mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000201, "question": "please name the place where the patent tilt wheel filed at.", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "tilt wheel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000202, "question": "please name the place where the patent computer mouse filed at.", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "computer mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000300, "question": "where was the patent mouse filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "Mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000301, "question": "where was the patent tilt wheel filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "tilt wheel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000302, "question": "where was the patent computer mouse filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "computer mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000400, "question": "in which office was the patent mouse filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "Mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000401, "question": "in which office was the patent tilt wheel filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "tilt wheel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000402, "question": "in which office was the patent computer mouse filed?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "computer mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000500, "question": "what location was the mouse patent filed at?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "Mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000501, "question": "what location was the tilt wheel patent filed at?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "tilt wheel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 5000502, "question": "what location was the computer mouse patent filed at?", "answer": [ "United States Patent and Trademark Office" ], "function": "none", "commonness": -15.489207396185584, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.patent_office", "class": "law.patent_office", "friendly_name": "Patent office", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mouse", "class": "law.us_patent", "friendly_name": "computer mouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.us_patent.patent_office", "friendly_name": "Patent office" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.patent_office\n VALUES ?x1 { :m.020lf }\n ?x1 :law.us_patent.patent_office ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 6000000, "question": "look for people who use gamesys services.", "answer": [ "NI Group", "Heart", "Caesars Entertainment Corporation", "The Sun" ], "function": "none", "commonness": -15.845372546238764, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.customer", "class": "business.customer", "friendly_name": "Customer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gamesys", "class": "business.business_operation", "friendly_name": "Gamesys", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.customer.supplier", "friendly_name": "Supplier" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.customer\n VALUES ?x1 { :m.027xyg_ }\n ?x0 :business.customer.supplier ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 6000100, "question": "find customers of gamesys.", "answer": [ "Heart", "NI Group", "Caesars Entertainment Corporation", "The Sun" ], "function": "none", "commonness": -15.845372546238764, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.customer", "class": "business.customer", "friendly_name": "Customer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gamesys", "class": "business.business_operation", "friendly_name": "Gamesys", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.customer.supplier", "friendly_name": "Supplier" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.customer\n VALUES ?x1 { :m.027xyg_ }\n ?x0 :business.customer.supplier ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 6000200, "question": "who are gamesys customers?", "answer": [ "Heart", "NI Group", "Caesars Entertainment Corporation", "The Sun" ], "function": "none", "commonness": -15.845372546238764, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.customer", "class": "business.customer", "friendly_name": "Customer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gamesys", "class": "business.business_operation", "friendly_name": "Gamesys", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.customer.supplier", "friendly_name": "Supplier" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.customer\n VALUES ?x1 { :m.027xyg_ }\n ?x0 :business.customer.supplier ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 6000300, "question": "who are some customers of gamesys?", "answer": [ "NI Group", "The Sun", "Caesars Entertainment Corporation", "Heart" ], "function": "none", "commonness": -15.845372546238764, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.customer", "class": "business.customer", "friendly_name": "Customer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gamesys", "class": "business.business_operation", "friendly_name": "Gamesys", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.customer.supplier", "friendly_name": "Supplier" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.customer\n VALUES ?x1 { :m.027xyg_ }\n ?x0 :business.customer.supplier ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000000, "question": "the united states of america is the origin of which legal drug classifications?", "answer": [ "Prescription drug", "Schedule V (CSA)", "Investigational New Drug", "Legal", "Schedule II (CSA)", "Dietary supplement", "Illegal", "Non-controlled substance", "Over-the-counter drug", "Schedule IV (CSA)", "Not evaluated by FDA", "Schedule III (CSA)", "Schedule I (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000001, "question": "the us is the origin of which legal drug classifications?", "answer": [ "Illegal", "Schedule III (CSA)", "Schedule IV (CSA)", "Not evaluated by FDA", "Schedule V (CSA)", "Investigational New Drug", "Legal", "Prescription drug", "Dietary supplement", "Over-the-counter drug", "Non-controlled substance", "Schedule II (CSA)", "Schedule I (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000002, "question": "the united states is the origin of which legal drug classifications?", "answer": [ "Schedule V (CSA)", "Schedule II (CSA)", "Schedule III (CSA)", "Schedule IV (CSA)", "Not evaluated by FDA", "Dietary supplement", "Over-the-counter drug", "Illegal", "Prescription drug", "Legal", "Non-controlled substance", "Investigational New Drug", "Schedule I (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000100, "question": "what drug legal statuses are used in the united states of america?", "answer": [ "Schedule IV (CSA)", "Schedule I (CSA)", "Legal", "Not evaluated by FDA", "Schedule III (CSA)", "Schedule II (CSA)", "Dietary supplement", "Over-the-counter drug", "Schedule V (CSA)", "Non-controlled substance", "Prescription drug", "Illegal", "Investigational New Drug" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000101, "question": "what drug legal statuses are used in the us?", "answer": [ "Schedule I (CSA)", "Prescription drug", "Dietary supplement", "Schedule IV (CSA)", "Schedule II (CSA)", "Illegal", "Schedule III (CSA)", "Non-controlled substance", "Not evaluated by FDA", "Legal", "Investigational New Drug", "Over-the-counter drug", "Schedule V (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000102, "question": "what drug legal statuses are used in the united states?", "answer": [ "Illegal", "Investigational New Drug", "Not evaluated by FDA", "Schedule III (CSA)", "Prescription drug", "Non-controlled substance", "Schedule V (CSA)", "Dietary supplement", "Over-the-counter drug", "Schedule IV (CSA)", "Schedule II (CSA)", "Schedule I (CSA)", "Legal" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000200, "question": "which drug legal classifications originate from the united states of america?", "answer": [ "Schedule V (CSA)", "Dietary supplement", "Schedule I (CSA)", "Schedule IV (CSA)", "Investigational New Drug", "Non-controlled substance", "Over-the-counter drug", "Legal", "Prescription drug", "Schedule III (CSA)", "Illegal", "Schedule II (CSA)", "Not evaluated by FDA" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000201, "question": "which drug legal classifications originate from the us?", "answer": [ "Schedule I (CSA)", "Illegal", "Schedule V (CSA)", "Over-the-counter drug", "Prescription drug", "Investigational New Drug", "Legal", "Schedule IV (CSA)", "Schedule III (CSA)", "Schedule II (CSA)", "Not evaluated by FDA", "Non-controlled substance", "Dietary supplement" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000202, "question": "which drug legal classifications originate from the united states?", "answer": [ "Investigational New Drug", "Schedule II (CSA)", "Dietary supplement", "Schedule III (CSA)", "Schedule IV (CSA)", "Legal", "Non-controlled substance", "Illegal", "Prescription drug", "Schedule V (CSA)", "Schedule I (CSA)", "Not evaluated by FDA", "Over-the-counter drug" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000300, "question": "what drug legal statuses are defined by the united states of america?", "answer": [ "Dietary supplement", "Non-controlled substance", "Schedule III (CSA)", "Schedule V (CSA)", "Schedule II (CSA)", "Prescription drug", "Not evaluated by FDA", "Legal", "Illegal", "Schedule IV (CSA)", "Investigational New Drug", "Over-the-counter drug", "Schedule I (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000301, "question": "what drug legal statuses are defined by the us?", "answer": [ "Not evaluated by FDA", "Schedule V (CSA)", "Prescription drug", "Non-controlled substance", "Illegal", "Schedule IV (CSA)", "Legal", "Dietary supplement", "Schedule III (CSA)", "Over-the-counter drug", "Investigational New Drug", "Schedule II (CSA)", "Schedule I (CSA)" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 7000302, "question": "what drug legal statuses are defined by the united states?", "answer": [ "Investigational New Drug", "Prescription drug", "Schedule I (CSA)", "Not evaluated by FDA", "Over-the-counter drug", "Dietary supplement", "Schedule IV (CSA)", "Legal", "Illegal", "Schedule III (CSA)", "Schedule V (CSA)", "Schedule II (CSA)", "Non-controlled substance" ], "function": "none", "commonness": -12.149463404471973, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_legal_status", "class": "medicine.drug_legal_status", "friendly_name": "Drug legal status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.drug_legal_status.country", "friendly_name": "Country" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_legal_status\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :medicine.drug_legal_status.country ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000000, "question": "what is the process for weaving denim?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000100, "question": "what weave is used for denim?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000200, "question": "what weaves are used to produce denim?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000300, "question": "what is the weave of denim?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000400, "question": "how to weave denim?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 8000500, "question": "how is denim woven to form fabric?", "answer": [ "Twill" ], "function": "none", "commonness": -18.69909202577648, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fashion.weave", "class": "fashion.weave", "friendly_name": "Weave", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.denim", "class": "fashion.textile", "friendly_name": "Denim", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "fashion.weave.textiles_of_this_weave", "friendly_name": "Textiles of this weave" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fashion.weave\n VALUES ?x1 { :m.0hgr6 }\n ?x0 :fashion.weave.textiles_of_this_weave ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 9000000, "question": "what is the stance mike tyson use when boxing?", "answer": [ "Orthodox stance" ], "function": "none", "commonness": -19.263772083515807, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.boxing_stance", "class": "sports.boxing_stance", "friendly_name": "Boxing Stance", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mike_tyson", "class": "sports.boxer", "friendly_name": "Mike Tyson", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.boxing_stance.boxers_with_this_stance", "friendly_name": "Boxers with this stance" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.boxing_stance\n VALUES ?x1 { :m.09qvs }\n ?x0 :sports.boxing_stance.boxers_with_this_stance ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 9000001, "question": "what is the stance michael tyson use when boxing?", "answer": [ "Orthodox stance" ], "function": "none", "commonness": -19.263772083515807, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.boxing_stance", "class": "sports.boxing_stance", "friendly_name": "Boxing Stance", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mike_tyson", "class": "sports.boxer", "friendly_name": "michael tyson", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.boxing_stance.boxers_with_this_stance", "friendly_name": "Boxers with this stance" } ] }, "sparql_query": 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"digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 11000200, "question": "what company made the sensor of nikon d300?", "answer": [ "Nikon Corporation" ], "function": "none", "commonness": -15.008139899197342, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.camera_sensor_manufacturer", "class": "digicams.camera_sensor_manufacturer", "friendly_name": "Camera Sensor Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nikon_d300", "class": "digicams.digital_camera", "friendly_name": "Nikon D300", "question_node": 0, "function": "none" } ], 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"question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 11000300, "question": "what is the name of the company that produces the sensor of nikon d300?", "answer": [ "Nikon Corporation" ], "function": "none", "commonness": -15.008139899197342, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.camera_sensor_manufacturer", "class": "digicams.camera_sensor_manufacturer", "friendly_name": "Camera Sensor Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": 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1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nikon_d300", "class": "digicams.digital_camera", "friendly_name": "d300", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 11000400, "question": "find the manufacturer of nikon d300's image sensor.", "answer": [ "Nikon Corporation" ], "function": "none", "commonness": -15.008139899197342, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.camera_sensor_manufacturer", "class": "digicams.camera_sensor_manufacturer", "friendly_name": 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"digicams.camera_sensor_manufacturer", "friendly_name": "Camera Sensor Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nikon_d300", "class": "digicams.digital_camera", "friendly_name": "d300", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 11000500, "question": "which business manufactures the nikon d300 camera's image sensor?", "answer": [ "Nikon Corporation" ], "function": "none", "commonness": -15.008139899197342, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.camera_sensor_manufacturer", "class": "digicams.camera_sensor_manufacturer", "friendly_name": "Camera Sensor Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nikon_d300", "class": "digicams.digital_camera", "friendly_name": "Nikon D300", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 11000501, "question": "which business manufactures the d300 camera's image sensor?", "answer": [ "Nikon Corporation" ], "function": "none", "commonness": -15.008139899197342, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.camera_sensor_manufacturer", "class": "digicams.camera_sensor_manufacturer", "friendly_name": "Camera Sensor Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nikon_d300", "class": "digicams.digital_camera", "friendly_name": "d300", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.camera_sensor_manufacturer.cameras", "friendly_name": "Cameras" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :digicams.camera_sensor_manufacturer\n VALUES ?x1 { :m.02xc2kh }\n ?x0 :digicams.camera_sensor_manufacturer.cameras ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 12000000, "question": "what ice hockey coaches have been working on their current job since 2009?", "answer": [ "Dan Bylsma", "John Tortorella", "Peter Laviolette" ], "function": "none", "commonness": -16.902052285994483, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2009^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2009", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.first_year_with_current_team", "friendly_name": "First Year With Current Team" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { \"2009\"^^ }\n ?x0 :ice_hockey.hockey_coach.first_year_with_current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 12000100, "question": "2009 was the starting time of what current ice hockey coaches?", "answer": [ "Dan Bylsma", "John Tortorella", "Peter Laviolette" ], "function": "none", "commonness": -16.902052285994483, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2009^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2009", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.first_year_with_current_team", "friendly_name": "First Year With Current Team" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { \"2009\"^^ }\n ?x0 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SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { \"2009\"^^ }\n ?x0 :ice_hockey.hockey_coach.first_year_with_current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 12000300, "question": "who started to coach his/her current ice hockey team from 2009?", "answer": [ "John Tortorella", "Dan Bylsma", "Peter Laviolette" ], "function": "none", "commonness": -16.902052285994483, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2009^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2009", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.first_year_with_current_team", "friendly_name": "First Year With 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"friendly_name": "Gothic architecture", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000001, "question": "which synagogues were designed in a gothic style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000002, "question": "which synagogues were designed in a gothical style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothical", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000100, "question": "which synagogues are of the gothic architecture style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "Gothic architecture", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000101, "question": "which synagogues are of the gothic style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000102, "question": "which synagogues are of the gothical style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothical", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000200, "question": "what is the name of the jewish synagogue representing the gothic architecture style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "Gothic architecture", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000201, "question": "what is the name of the jewish synagogue representing the gothic style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000202, "question": "what is the name of the jewish synagogue representing the gothical style?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothical", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000300, "question": "what are the synagogues that are built with a gothic architecture?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "Gothic architecture", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000301, "question": "what are the synagogues that are built with a gothic?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000302, "question": "what are the synagogues that are built with a gothical?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothical", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000400, "question": "which synagogue has the architectural style gothic architecture?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "Gothic architecture", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000401, "question": "which synagogue has the architectural style gothic?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 13000402, "question": "which synagogue has the architectural style gothical?", "answer": [ "Eldridge Street Synagogue" ], "function": "none", "commonness": -14.383022737137626, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.jewishcommunities.synagogue", "class": "base.jewishcommunities.synagogue", "friendly_name": "Synagogue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.gothic_architecture", "class": "architecture.architectural_style", "friendly_name": "gothical", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.structure.architectural_style", "friendly_name": "Architectural Style" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.jewishcommunities.synagogue\n VALUES ?x1 { :m.0f447 }\n ?x0 :architecture.structure.architectural_style ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 14000000, "question": "who wrote twilight?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 14000100, "question": "whose work has been adapted for the film twilight?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 14000200, "question": "the movie twilight is based on whose book?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 14000300, "question": "what is the name of the author that wrote twilight?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 14000400, "question": "what is the name of twilight's author?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX 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\n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 14000600, "question": "who is the author of twilight?", "answer": [ "Stephenie Meyer" ], "function": "none", "commonness": -11.10139189737362, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_story_contributor", "class": "film.film_story_contributor", "friendly_name": "Film story contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.03nm_fh", "class": "film.film", "friendly_name": "Twilight", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film.story_by", "friendly_name": "Story by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_story_contributor . \nVALUES ?x1 { :m.03nm_fh } \n?x1 :film.film.story_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 15000000, "question": "what kind of spirit is justerini & brooks?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "Justerini & Brooks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000001, "question": "what kind of spirit is j&b?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j&b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000002, "question": "what kind of spirit is j & b?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j & b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000100, "question": "what kind of alcoholic beverage is justerini & brooks?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "Justerini & Brooks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000101, "question": "what kind of alcoholic beverage is j&b?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j&b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000102, "question": "what kind of alcoholic beverage is j & b?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j & b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000200, "question": "what type of distilled spirit is justerini & brooks?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "Justerini & Brooks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000201, "question": "what type of distilled spirit is j&b?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j&b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000202, "question": "what type of distilled spirit is j & b?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j & b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000300, "question": "justerini & brooks is which type of distilled spirit?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "Justerini & Brooks", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000301, "question": "j&b is which type of distilled spirit?", "answer": [ "Single malt Scotch whisky", "Grain whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j&b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 15000302, "question": "j & b is which type of distilled spirit?", "answer": [ "Grain whisky", "Single malt Scotch whisky" ], "function": "none", "commonness": -19.489905632213564, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit_type", "class": "distilled_spirits.distilled_spirit_type", "friendly_name": "Distilled spirit type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.justerini_brooks_whisky", "class": "distilled_spirits.blended_spirit", "friendly_name": "j & b", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit_type.blends", "friendly_name": "Blends using this type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :distilled_spirits.distilled_spirit_type\n VALUES ?x1 { :m.0b139b }\n ?x0 :distilled_spirits.distilled_spirit_type.blends ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000000, "question": "what comic book series belong to science fiction?", "answer": [ "Echo", "Gene Wolfe's The Shadow of the Torturer", "2000 AD", "Justy", "Gate keepers", "Dominion: Tank Police", "The Invisibles", "Amazing Fantasy", "Infinite Stratos", "Monkeyman & O'Brien", "Dominion Conflict One: No More Noise", "Amuri in Star Ocean", "Twin Signal", "The Private Eye", "Barabanba", "Absolute Boyfriend", "Mojacko", "Blake and Mortimer", "20th Century Boys", "DT Eightron", "Longshot", "The Surrogates" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000001, "question": "what comic book series belong to sci-fi?", "answer": [ "Amuri in Star Ocean", "Mojacko", "Dominion Conflict One: No More Noise", "Amazing Fantasy", "The Private Eye", "The Invisibles", "Barabanba", "Justy", "The Surrogates", "Gate keepers", "Blake and Mortimer", "20th Century Boys", "Twin Signal", "Dominion: Tank Police", "Absolute Boyfriend", "2000 AD", "DT Eightron", "Monkeyman & O'Brien", "Longshot", "Gene Wolfe's The Shadow of the Torturer", "Echo", "Infinite Stratos" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000002, "question": "what comic book series belong to scifi?", "answer": [ "DT Eightron", "Twin Signal", "Gate keepers", "The Private Eye", "Dominion: Tank Police", "Absolute Boyfriend", "Barabanba", "Justy", "Monkeyman & O'Brien", "Echo", "2000 AD", "Blake and Mortimer", "Infinite Stratos", "Amuri in Star Ocean", "Mojacko", "20th Century Boys", "Dominion Conflict One: No More Noise", "Longshot", "Gene Wolfe's The Shadow of the Torturer", "The Invisibles", "Amazing Fantasy", "The Surrogates" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000100, "question": "give me science fiction comic books.", "answer": [ "Mojacko", "Infinite Stratos", "20th Century Boys", "Amazing Fantasy", "Justy", "Gene Wolfe's The Shadow of the Torturer", "Absolute Boyfriend", "Amuri in Star Ocean", "The Invisibles", "Monkeyman & O'Brien", "2000 AD", "Echo", "The Private Eye", "The Surrogates", "Dominion: Tank Police", "DT Eightron", "Gate keepers", "Blake and Mortimer", "Longshot", "Twin Signal", "Barabanba", "Dominion Conflict One: No More Noise" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000101, "question": "give me sci-fi comic books.", "answer": [ "Blake and Mortimer", "Gene Wolfe's The Shadow of the Torturer", "The Surrogates", "2000 AD", "The Private Eye", "Barabanba", "Twin Signal", "Absolute Boyfriend", "DT Eightron", "Infinite Stratos", "20th Century Boys", "Dominion Conflict One: No More Noise", "The Invisibles", "Longshot", "Amuri in Star Ocean", "Gate keepers", "Mojacko", "Justy", "Monkeyman & O'Brien", "Amazing Fantasy", "Echo", "Dominion: Tank Police" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000102, "question": "give me scifi comic books.", "answer": [ "The Private Eye", "Longshot", "Amuri in Star Ocean", "Infinite Stratos", "Gate keepers", "The Surrogates", "Monkeyman & O'Brien", "2000 AD", "Twin Signal", "DT Eightron", "Echo", "Justy", "Absolute Boyfriend", "Dominion: Tank Police", "The Invisibles", "Barabanba", "Amazing Fantasy", "Mojacko", "Blake and Mortimer", "Dominion Conflict One: No More Noise", "Gene Wolfe's The Shadow of the Torturer", "20th Century Boys" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000200, "question": "what are the science fiction themed comic book series?", "answer": [ "Twin Signal", "Longshot", "Monkeyman & O'Brien", "The Surrogates", "Amazing Fantasy", "Mojacko", "Dominion: Tank Police", "Gate keepers", "Infinite Stratos", "Amuri in Star Ocean", "The Invisibles", "Barabanba", "DT Eightron", "2000 AD", "Blake and Mortimer", "Absolute Boyfriend", "Justy", "20th Century Boys", "The Private Eye", "Dominion Conflict One: No More Noise", "Gene Wolfe's The Shadow of the Torturer", "Echo" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000201, "question": "what are the sci-fi themed comic book series?", "answer": [ "Mojacko", "Absolute Boyfriend", "Amazing Fantasy", "Blake and Mortimer", "The Invisibles", "DT Eightron", "Dominion: Tank Police", "2000 AD", "The Private Eye", "20th Century Boys", "Amuri in Star Ocean", "The Surrogates", "Infinite Stratos", "Longshot", "Gate keepers", "Monkeyman & O'Brien", "Justy", "Dominion Conflict One: No More Noise", "Barabanba", "Echo", "Twin Signal", "Gene Wolfe's The Shadow of the Torturer" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000202, "question": "what are the scifi themed comic book series?", "answer": [ "Monkeyman & O'Brien", "Dominion Conflict One: No More Noise", "The Private Eye", "Amazing Fantasy", "DT Eightron", "Blake and Mortimer", "Absolute Boyfriend", "Echo", "Twin Signal", "Gene Wolfe's The Shadow of the Torturer", "Justy", "2000 AD", "Infinite Stratos", "Mojacko", "Gate keepers", "20th Century Boys", "Barabanba", "The Surrogates", "Dominion: Tank Police", "Amuri in Star Ocean", "Longshot", "The Invisibles" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000300, "question": "find comic book series in the science fiction genre.", "answer": [ "Twin Signal", "Gate keepers", "20th Century Boys", "Blake and Mortimer", "Longshot", "Mojacko", "Amuri in Star Ocean", "Dominion Conflict One: No More Noise", "Dominion: Tank Police", "Infinite Stratos", "2000 AD", "Absolute Boyfriend", "Echo", "Amazing Fantasy", "The Invisibles", "Gene Wolfe's The Shadow of the Torturer", "Barabanba", "The Surrogates", "DT Eightron", "The Private Eye", "Justy", "Monkeyman & O'Brien" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000301, "question": "find comic book series in the sci-fi genre.", "answer": [ "Echo", "2000 AD", "Longshot", "Mojacko", "Blake and Mortimer", "The Invisibles", "Monkeyman & O'Brien", "The Surrogates", "The Private Eye", "20th Century Boys", "Twin Signal", "Justy", "Dominion: Tank Police", "Amuri in Star Ocean", "Gene Wolfe's The Shadow of the Torturer", "Barabanba", "Absolute Boyfriend", "Gate keepers", "DT Eightron", "Amazing Fantasy", "Infinite Stratos", "Dominion Conflict One: No More Noise" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000302, "question": "find comic book series in the scifi genre.", "answer": [ "Infinite Stratos", "Amuri in Star Ocean", "Blake and Mortimer", "The Private Eye", "Twin Signal", "Echo", "Dominion: Tank Police", "Dominion Conflict One: No More Noise", "The Invisibles", "Gene Wolfe's The Shadow of the Torturer", "Mojacko", "Monkeyman & O'Brien", "20th Century Boys", "Longshot", "Amazing Fantasy", "Barabanba", "Gate keepers", "2000 AD", "The Surrogates", "Absolute Boyfriend", "DT Eightron", "Justy" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000400, "question": "find comic book series under the genre science fiction.", "answer": [ "Barabanba", "The Invisibles", "Gene Wolfe's The Shadow of the Torturer", "Justy", "Monkeyman & O'Brien", "The Surrogates", "Blake and Mortimer", "Echo", "Absolute Boyfriend", "Infinite Stratos", "Twin Signal", "Dominion: Tank Police", "The Private Eye", "Amuri in Star Ocean", "Longshot", "Mojacko", "Gate keepers", "20th Century Boys", "2000 AD", "Amazing Fantasy", "Dominion Conflict One: No More Noise", "DT Eightron" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000401, "question": "find comic book series under the genre sci-fi.", "answer": [ "The Invisibles", "Barabanba", "Gate keepers", "Amuri in Star Ocean", "Dominion: Tank Police", "Infinite Stratos", "The Private Eye", "DT Eightron", "Blake and Mortimer", "Dominion Conflict One: No More Noise", "Gene Wolfe's The Shadow of the Torturer", "Justy", "Longshot", "Mojacko", "Twin Signal", "Monkeyman & O'Brien", "Amazing Fantasy", "The Surrogates", "2000 AD", "20th Century Boys", "Echo", "Absolute Boyfriend" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 16000402, "question": "find comic book series under the genre scifi.", "answer": [ "Echo", "Justy", "Gate keepers", "Infinite Stratos", "The Private Eye", "Dominion: Tank Police", "Amuri in Star Ocean", "Dominion Conflict One: No More Noise", "DT Eightron", "Blake and Mortimer", "The Surrogates", "Monkeyman & O'Brien", "The Invisibles", "Twin Signal", "Longshot", "Absolute Boyfriend", "Barabanba", "Mojacko", "20th Century Boys", "Amazing Fantasy", "Gene Wolfe's The Shadow of the Torturer", "2000 AD" ], "function": "none", "commonness": -14.708929816205657, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_series", "class": "comic_books.comic_book_series", "friendly_name": "Comic Book Series", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "comic_books.comic_book_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_series.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :comic_books.comic_book_series\n VALUES ?x1 { :m.06n90 }\n ?x0 :comic_books.comic_book_series.genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 17000000, "question": "name an academic article on the subject of sociology?", "answer": [ "Toward Racial Healing" ], "function": "none", "commonness": -17.964997006047682, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.journal_article", "class": "book.journal_article", "friendly_name": "Journal article", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.sociology", "class": "book.school_or_movement", "friendly_name": "Sociology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.school_or_movement.associated_works", "friendly_name": "Associated Works" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :book.journal_article\n VALUES ?x1 { :m.06ms6 }\n ?x1 :book.school_or_movement.associated_works ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 17000100, "question": "what are the articles about sociology published in a journal?", "answer": [ "Toward Racial Healing" ], "function": "none", "commonness": -17.964997006047682, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.journal_article", "class": "book.journal_article", "friendly_name": "Journal article", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.sociology", "class": "book.school_or_movement", "friendly_name": "Sociology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.school_or_movement.associated_works", "friendly_name": "Associated Works" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :book.journal_article\n VALUES ?x1 { :m.06ms6 }\n ?x1 :book.school_or_movement.associated_works ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 17000200, "question": "find journal articles about sociology.", "answer": [ "Toward Racial Healing" ], "function": "none", "commonness": -17.964997006047682, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.journal_article", "class": "book.journal_article", "friendly_name": "Journal article", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.sociology", "class": "book.school_or_movement", "friendly_name": "Sociology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.school_or_movement.associated_works", "friendly_name": "Associated Works" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :book.journal_article\n VALUES ?x1 { :m.06ms6 }\n ?x1 :book.school_or_movement.associated_works ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 17000300, "question": "what journal articles are there in sociology?", "answer": [ "Toward Racial Healing" ], "function": "none", "commonness": -17.964997006047682, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.journal_article", "class": "book.journal_article", "friendly_name": "Journal article", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.sociology", "class": "book.school_or_movement", "friendly_name": "Sociology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.school_or_movement.associated_works", "friendly_name": "Associated Works" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :book.journal_article\n VALUES ?x1 { :m.06ms6 }\n ?x1 :book.school_or_movement.associated_works ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000000, "question": "in which tournaments did west indies cricket team win the championship?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "West Indies cricket team", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000001, "question": "in which tournaments did west indies win the championship?", "answer": [ "1979 Cricket World Cup", "2012 ICC World Twenty20" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "west indies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000002, "question": "in which tournaments did windies win the championship?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "windies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000100, "question": "which tournaments has west indies cricket team won?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "West Indies cricket team", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000101, "question": "which tournaments has west indies won?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "west indies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000102, "question": "which tournaments has windies won?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "windies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000200, "question": "what are the tournaments that west indies cricket team was the champion?", "answer": [ "1979 Cricket World Cup", "2012 ICC World Twenty20" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "West Indies cricket team", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000201, "question": "what are the tournaments that west indies was the champion?", "answer": [ "1979 Cricket World Cup", "2012 ICC World Twenty20" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "west indies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000202, "question": "what are the tournaments that windies was the champion?", "answer": [ "1979 Cricket World Cup", "2012 ICC World Twenty20" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "windies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000300, "question": "which championships did the west indies cricket team win during tournament play?", "answer": [ "1979 Cricket World Cup", "2012 ICC World Twenty20" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "West Indies cricket team", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000301, "question": "which championships did the west indies win during tournament play?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "west indies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 18000302, "question": "which championships did the windies win during tournament play?", "answer": [ "2012 ICC World Twenty20", "1979 Cricket World Cup" ], "function": "none", "commonness": -16.18711506680925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_tournament_event", "class": "cricket.cricket_tournament_event", "friendly_name": "Cricket Tournament Event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.west_indian_cricket_team", "class": "sports.sports_team", "friendly_name": "windies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_championship_event.champion", "friendly_name": "Champion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cricket.cricket_tournament_event\n VALUES ?x1 { :m.098knd }\n ?x0 :sports.sports_championship_event.champion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000000, "question": "find the child literary genres of science fiction.", "answer": [ "Soft science fiction", "Post-holocaust", "Future history", "Sword and planet", "Steampunk", "Cyberpunk", "Military science fiction", "Science fantasy", "Feminist science fiction", "Edisonade", "Space opera", "Hard science fiction", "Cosy catastrophe", "Planetary romance" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000001, "question": "find the child literary genres of sci-fi.", "answer": [ "Feminist science fiction", "Science fantasy", "Military science fiction", "Space opera", "Steampunk", "Post-holocaust", "Planetary romance", "Edisonade", "Cyberpunk", "Cosy catastrophe", "Hard science fiction", "Sword and planet", "Future history", "Soft science fiction" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000002, "question": "find the child literary genres of scifi.", "answer": [ "Cyberpunk", "Planetary romance", "Military science fiction", "Space opera", "Cosy catastrophe", "Sword and planet", "Edisonade", "Future history", "Steampunk", "Soft science fiction", "Hard science fiction", "Post-holocaust", "Feminist science fiction", "Science fantasy" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000100, "question": "what literary genres are borne from science fiction?", "answer": [ "Post-holocaust", "Cyberpunk", "Cosy catastrophe", "Edisonade", "Future history", "Military science fiction", "Science fantasy", "Planetary romance", "Feminist science fiction", "Soft science fiction", "Sword and planet", "Hard science fiction", "Steampunk", "Space opera" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000101, "question": "what literary genres are borne from sci-fi?", "answer": [ "Post-holocaust", "Soft science fiction", "Steampunk", "Planetary romance", "Cosy catastrophe", "Military science fiction", "Science fantasy", "Sword and planet", "Hard science fiction", "Feminist science fiction", "Future history", "Space opera", "Edisonade", "Cyberpunk" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : 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"media_common.media_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000200, "question": "which literary genres are child genre of science fiction?", "answer": [ "Edisonade", "Cosy catastrophe", "Cyberpunk", "Feminist science fiction", "Military science fiction", "Steampunk", "Hard science fiction", "Future history", "Science fantasy", "Soft science fiction", "Post-holocaust", "Sword and planet", "Planetary romance", "Space opera" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "Science Fiction", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000201, "question": "which literary genres are child genre of sci-fi?", "answer": [ "Science fantasy", "Soft science fiction", "Space opera", "Military science fiction", "Feminist science fiction", "Post-holocaust", "Planetary romance", "Sword and planet", "Steampunk", "Hard science fiction", "Cyberpunk", "Cosy catastrophe", "Edisonade", "Future history" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "sci-fi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 19000202, "question": "which literary genres are child genre of scifi?", "answer": [ "Military science fiction", "Science fantasy", "Cosy catastrophe", "Cyberpunk", "Feminist science fiction", "Post-holocaust", "Sword and planet", "Future history", "Soft science fiction", "Hard science fiction", "Steampunk", "Planetary romance", "Edisonade", "Space opera" ], "function": "none", "commonness": -12.287833733329597, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "media_common.literary_genre", "class": "media_common.literary_genre", "friendly_name": "Literary Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.science_fiction", "class": "media_common.media_genre", "friendly_name": "scifi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "media_common.media_genre.parent_genre", "friendly_name": "Parent genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :media_common.literary_genre\n VALUES ?x1 { :m.06n90 }\n ?x0 :media_common.media_genre.parent_genre ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000000, "question": "gossip girl's serena van der woodsen is played by who?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000001, "question": "gossip girl's serena is played by who?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000100, "question": "by whom serena van der woodsen is portrayed?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000101, "question": "by whom serena is portrayed?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000200, "question": "which actress portrays serena van der woodsen in gossip girl?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000201, "question": "which actress portrays serena in gossip girl?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000300, "question": "who plays serena van der woodsen in gossip girl?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000301, "question": "who plays serena in gossip girl?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000400, "question": "tell me the actor of serena van der woodsen in gossip girl.", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000401, "question": "tell me the actor of serena in gossip girl.", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000500, "question": "in the show gossip girl, what actress plays serena van der woodsen?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000501, "question": "in the show gossip girl, what actress plays serena?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "serena", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 20000600, "question": "in gossip girl, what is the name of the person who plays serena van der woodsen?", "answer": [ "Blake Lively" ], "function": "none", "commonness": -16.335288345723843, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gossipgirl.actor", "class": "base.gossipgirl.actor", "friendly_name": "Actor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.serena_van_der_woodsen", "class": "base.gossipgirl.character", "friendly_name": "Serena van der Woodsen", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.gossipgirl.actor.plays", "friendly_name": "plays" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gossipgirl.actor\n VALUES ?x1 { :m.06ycd1 }\n ?x0 :base.gossipgirl.actor.plays ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 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Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 22000100, "question": "what symbol stands for the cheer bear?", "answer": [ "Rainbow" ], "function": "none", "commonness": -19.666389387745287, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.carebears.care_bears_tummy_symbol", "class": "base.carebears.care_bears_tummy_symbol", "friendly_name": "Care Bears Tummy Symbol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.cheer_bear", "class": "base.carebears.care_bears_character", "friendly_name": "Cheer Bear", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.carebears.care_bears_character.tummy_symbol", "friendly_name": "Tummy Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 22000200, "question": "what symbol appears on the stomachs of cheer bear?", "answer": [ "Rainbow" ], "function": "none", "commonness": -19.666389387745287, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.carebears.care_bears_tummy_symbol", "class": "base.carebears.care_bears_tummy_symbol", "friendly_name": "Care Bears Tummy Symbol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.cheer_bear", "class": "base.carebears.care_bears_character", "friendly_name": "Cheer Bear", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.carebears.care_bears_character.tummy_symbol", "friendly_name": "Tummy Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 22000300, "question": "what symbol does cheer bear have on her tummy?", "answer": [ "Rainbow" ], "function": "none", "commonness": -19.666389387745287, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.carebears.care_bears_tummy_symbol", "class": "base.carebears.care_bears_tummy_symbol", "friendly_name": "Care Bears Tummy Symbol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.cheer_bear", "class": "base.carebears.care_bears_character", "friendly_name": "Cheer Bear", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.carebears.care_bears_character.tummy_symbol", "friendly_name": "Tummy Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 22000400, "question": "what symbol is on cheer bear's tummy?", "answer": [ "Rainbow" ], "function": "none", "commonness": -19.666389387745287, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.carebears.care_bears_tummy_symbol", "class": "base.carebears.care_bears_tummy_symbol", "friendly_name": "Care Bears Tummy Symbol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.cheer_bear", "class": "base.carebears.care_bears_character", "friendly_name": "Cheer Bear", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.carebears.care_bears_character.tummy_symbol", "friendly_name": "Tummy Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 22000500, "question": "what's the tummy symbol of cheer bear?", "answer": [ "Rainbow" ], "function": "none", "commonness": -19.666389387745287, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.carebears.care_bears_tummy_symbol", "class": "base.carebears.care_bears_tummy_symbol", "friendly_name": "Care Bears Tummy Symbol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.cheer_bear", "class": "base.carebears.care_bears_character", "friendly_name": "Cheer Bear", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.carebears.care_bears_character.tummy_symbol", "friendly_name": "Tummy Symbol" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.carebears.care_bears_tummy_symbol\n VALUES ?x1 { :m.04j5h66 }\n ?x1 :base.carebears.care_bears_character.tummy_symbol ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 23000000, "question": "what solid materials fuse at 435.4 joules/mole and above?", "answer": [ "Titanium", "Aluminium oxide", "Beryllium" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000100, "question": "which solid materials take no less than 435.4 joules per mole to fuse?", "answer": [ "Beryllium", "Aluminium oxide", "Titanium" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000200, "question": "fusion occurs with at least 435.4 joules for which solid material?", "answer": [ "Aluminium oxide", "Titanium", "Beryllium" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000300, "question": "which materials need to take at least 435.4 joules of heat to fuse for one mole?", "answer": [ "Titanium", "Beryllium", "Aluminium oxide" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000400, "question": "what materials fuse at 435.4 joules per mole?", "answer": [ "Titanium", "Beryllium", "Aluminium oxide" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000500, "question": "name all the solid materials the fusion of which need at least 435.4 joules for a mole.", "answer": [ "Titanium", "Beryllium", "Aluminium oxide" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 23000600, "question": "find the solid materials whose heat of fusion is at least 435.4 joules per mole.", "answer": [ "Aluminium oxide", "Beryllium", "Titanium" ], "function": ">=", "commonness": -17.03884241302868, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.materials.solid_material", "class": "base.materials.solid_material", "friendly_name": "Solid Material", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "435.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "435.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.materials.solid_material.heat_of_fusion", "friendly_name": "Heat of Fusion" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.materials.solid_material . \nFILTER (?x1 >= 435.4)\n?x0 :base.materials.solid_material.heat_of_fusion ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 24000000, "question": "what's the name of team saxo bank-sungard's general manager?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.team_csc", "class": "base.peleton.cycling_team_professional", "friendly_name": "Team Saxo Bank-SunGard", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.peleton.cycling_team_professional.general_manager", "friendly_name": "General Manager" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.peleton.cycling_team_staff\n VALUES ?x1 { :m.06s1mb }\n ?x1 :base.peleton.cycling_team_professional.general_manager ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 24000001, "question": "what's the name of csc's general manager?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.team_csc", "class": "base.peleton.cycling_team_professional", "friendly_name": "csc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.peleton.cycling_team_professional.general_manager", "friendly_name": "General Manager" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.peleton.cycling_team_staff\n VALUES ?x1 { :m.06s1mb }\n ?x1 :base.peleton.cycling_team_professional.general_manager ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 24000002, "question": "what's the name of team csc's general manager?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.team_csc", "class": "base.peleton.cycling_team_professional", "friendly_name": "team csc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.peleton.cycling_team_professional.general_manager", "friendly_name": "General Manager" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.peleton.cycling_team_staff\n VALUES ?x1 { :m.06s1mb }\n ?x1 :base.peleton.cycling_team_professional.general_manager ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 24000100, "question": "who is the general manager of team saxo bank-sungard?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.team_csc", "class": "base.peleton.cycling_team_professional", "friendly_name": "Team Saxo Bank-SunGard", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.peleton.cycling_team_professional.general_manager", "friendly_name": "General Manager" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.peleton.cycling_team_staff\n VALUES ?x1 { :m.06s1mb }\n ?x1 :base.peleton.cycling_team_professional.general_manager ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 24000101, "question": "who is the general manager of csc?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.team_csc", "class": "base.peleton.cycling_team_professional", "friendly_name": "csc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.peleton.cycling_team_professional.general_manager", "friendly_name": "General Manager" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.peleton.cycling_team_staff\n VALUES ?x1 { :m.06s1mb }\n ?x1 :base.peleton.cycling_team_professional.general_manager ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 24000102, "question": "who is the general manager of team csc?", "answer": [ "Bjarne Riis" ], "function": "none", "commonness": -18.42626988711012, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.peleton.cycling_team_staff", "class": "base.peleton.cycling_team_staff", "friendly_name": "Cycling Team Staff", "question_node": 1, "function": "none" }, { "nid": 1, 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{ "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gadgets.brand", "class": "base.gadgets.brand", "friendly_name": "Brand", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ipod", "class": "base.gadgets.gadget", "friendly_name": "apple ipod", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.gadgets.gadget.brand", "friendly_name": "Brand" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.gadgets.brand\n VALUES ?x1 { :m.0mcx2 }\n ?x1 :base.gadgets.gadget.brand ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 29000502, "question": "which brand owns i-pod?", "answer": [ "Apple" ], "function": "none", "commonness": -12.135613916614275, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.gadgets.brand", "class": "base.gadgets.brand", 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"question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bigsky.site\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 30000001, "question": "which flying sites can be found in the us?", "answer": [ "Yosemite National Park", "Slide Mountain", "Dunlap" ], "function": "none", "commonness": -8.325382642589407, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bigsky.site", "class": "base.bigsky.site", "friendly_name": "Flying Site", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bigsky.site\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 30000002, "question": "which flying sites can be found in the united states?", "answer": [ "Dunlap", "Yosemite National Park", "Slide Mountain" ], "function": "none", "commonness": -8.325382642589407, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bigsky.site", "class": "base.bigsky.site", "friendly_name": "Flying Site", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bigsky.site\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 30000100, "question": "which hang gliding and paragliding flying sites are located in the united states of america?", "answer": [ "Yosemite National Park", "Slide Mountain", "Dunlap" ], "function": "none", "commonness": -8.325382642589407, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bigsky.site", "class": 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"node_type": "class", "id": "base.bigsky.site", "class": "base.bigsky.site", "friendly_name": "Flying Site", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bigsky.site\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 30000200, "question": "which flying sites are in the united states of america?", "answer": [ "Slide Mountain", "Yosemite National Park", "Dunlap" ], "function": "none", "commonness": -8.325382642589407, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 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"node_type": "class", "id": "base.bigsky.site", "class": "base.bigsky.site", "friendly_name": "Flying Site", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bigsky.site\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 30000202, "question": "which flying sites are in the united states?", "answer": [ "Slide Mountain", "Yosemite National Park", "Dunlap" ], "function": "none", "commonness": -8.325382642589407, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": 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Evans", "Kathy Sierra", "Charles M. 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Evans", "Charles M. 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Evans", "Charles M. Blow", "Jeffrey Zeldman", "Kathy Sierra" ], "function": "none", "commonness": -8.328627535458333, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "internet.blogger", "class": "internet.blogger", "friendly_name": "Blogger", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.place_of_birth", "friendly_name": "Place of birth" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :internet.blogger\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :people.person.place_of_birth ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 35000401, "question": "name a blog writer who hails from the us?", "answer": [ "Kathy Sierra", "Roderick L. Evans", "Jessamyn West", "Jeffrey Zeldman", "Charles M. Blow" ], "function": "none", "commonness": -8.328627535458333, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "internet.blogger", "class": "internet.blogger", "friendly_name": "Blogger", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.place_of_birth", "friendly_name": "Place of birth" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :internet.blogger\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :people.person.place_of_birth ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 35000402, "question": "name a blog writer who hails from the united states?", "answer": [ "Jeffrey Zeldman", "Roderick L. Evans", "Charles M. Blow", "Jessamyn West", "Kathy Sierra" ], "function": "none", "commonness": -8.328627535458333, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "internet.blogger", "class": "internet.blogger", "friendly_name": "Blogger", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.place_of_birth", "friendly_name": "Place of birth" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :internet.blogger\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :people.person.place_of_birth ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 36000000, "question": "who made the source engine.", "answer": [ "Valve Corporation" ], "function": "none", "commonness": -16.53886073111844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cvg.computer_game_engine_developer", "class": "cvg.computer_game_engine_developer", "friendly_name": "Video Game Engine Developer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.source_engine", "class": "cvg.computer_game_engine", "friendly_name": "Source Engine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "cvg.computer_game_engine_developer.computer_game_engines_developed", "friendly_name": "Computer game engines developed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cvg.computer_game_engine_developer\n VALUES ?x1 { :m.0328kl }\n ?x0 :cvg.computer_game_engine_developer.computer_game_engines_developed ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 36000100, "question": "the source engine was developed by which company?", "answer": [ "Valve Corporation" ], "function": "none", "commonness": -16.53886073111844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cvg.computer_game_engine_developer", "class": "cvg.computer_game_engine_developer", "friendly_name": "Video Game Engine Developer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.source_engine", "class": "cvg.computer_game_engine", "friendly_name": "Source Engine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "cvg.computer_game_engine_developer.computer_game_engines_developed", "friendly_name": "Computer game engines developed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cvg.computer_game_engine_developer\n VALUES ?x1 { :m.0328kl }\n 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?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cvg.computer_game_engine_developer\n VALUES ?x1 { :m.0328kl }\n ?x0 :cvg.computer_game_engine_developer.computer_game_engines_developed ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 36000300, "question": "who developed the source engine?", "answer": [ "Valve Corporation" ], "function": "none", "commonness": -16.53886073111844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cvg.computer_game_engine_developer", "class": "cvg.computer_game_engine_developer", "friendly_name": "Video Game Engine Developer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.source_engine", "class": "cvg.computer_game_engine", "friendly_name": "Source Engine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "cvg.computer_game_engine_developer.computer_game_engines_developed", "friendly_name": "Computer game engines developed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cvg.computer_game_engine_developer\n VALUES ?x1 { :m.0328kl }\n ?x0 :cvg.computer_game_engine_developer.computer_game_engines_developed ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 36000400, "question": "who are the developers of the source engine?", "answer": [ "Valve Corporation" ], "function": "none", "commonness": -16.53886073111844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cvg.computer_game_engine_developer", "class": "cvg.computer_game_engine_developer", "friendly_name": "Video Game Engine Developer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.source_engine", "class": "cvg.computer_game_engine", "friendly_name": "Source Engine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "cvg.computer_game_engine_developer.computer_game_engines_developed", "friendly_name": "Computer game engines developed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :cvg.computer_game_engine_developer\n VALUES ?x1 { :m.0328kl }\n ?x0 :cvg.computer_game_engine_developer.computer_game_engines_developed ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 37000000, "question": "sony nex-5 uses which type of image stabilization technique?", "answer": [ "Lens based optical stabilization" ], "function": "none", "commonness": -20.571537198563355, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.image_stabilization_type", "class": "digicams.image_stabilization_type", "friendly_name": "Camera Image Stabilization Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": 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"question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0cp1pcv", "class": "digicams.digital_camera", "friendly_name": "nex-5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.image_stabilization_type.digital_camera", "friendly_name": "Digital camera" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :digicams.image_stabilization_type . \nVALUES ?x1 { :m.0cp1pcv } \n?x0 :digicams.image_stabilization_type.digital_camera ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 37000100, "question": "what type of image stabilization is used in the sony nex-5?", "answer": [ "Lens based optical stabilization" ], "function": "none", "commonness": -20.571537198563355, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.image_stabilization_type", "class": 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"node_type": "class", "id": "digicams.image_stabilization_type", "class": "digicams.image_stabilization_type", "friendly_name": "Camera Image Stabilization Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0cp1pcv", "class": "digicams.digital_camera", "friendly_name": "nex-5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.image_stabilization_type.digital_camera", "friendly_name": "Digital camera" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :digicams.image_stabilization_type . \nVALUES ?x1 { :m.0cp1pcv } \n?x0 :digicams.image_stabilization_type.digital_camera ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 37000200, "question": "what image stabilization technology is used by the digital camera sony nex-5?", "answer": [ "Lens based optical stabilization" ], "function": "none", "commonness": -20.571537198563355, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.image_stabilization_type", "class": "digicams.image_stabilization_type", "friendly_name": "Camera Image Stabilization Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0cp1pcv", "class": "digicams.digital_camera", "friendly_name": "Sony NEX-5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.image_stabilization_type.digital_camera", "friendly_name": "Digital camera" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :digicams.image_stabilization_type . \nVALUES ?x1 { :m.0cp1pcv } \n?x0 :digicams.image_stabilization_type.digital_camera ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 37000201, "question": "what image stabilization technology is used by the digital camera nex-5?", "answer": [ "Lens based optical stabilization" ], "function": "none", "commonness": -20.571537198563355, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.image_stabilization_type", "class": "digicams.image_stabilization_type", "friendly_name": "Camera Image Stabilization Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0cp1pcv", "class": "digicams.digital_camera", "friendly_name": "nex-5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.image_stabilization_type.digital_camera", "friendly_name": "Digital camera" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :digicams.image_stabilization_type . \nVALUES ?x1 { :m.0cp1pcv } \n?x0 :digicams.image_stabilization_type.digital_camera ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 37000300, "question": "how does sony nex-5 stabilize images?", "answer": [ "Lens based optical stabilization" ], "function": "none", "commonness": -20.571537198563355, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "digicams.image_stabilization_type", "class": "digicams.image_stabilization_type", "friendly_name": "Camera Image Stabilization Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0cp1pcv", "class": "digicams.digital_camera", "friendly_name": "Sony NEX-5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "digicams.image_stabilization_type.digital_camera", "friendly_name": "Digital camera" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :digicams.image_stabilization_type . \nVALUES ?x1 { :m.0cp1pcv } \n?x0 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"Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000001, "question": "find the mother and father of benjamin edward stiller.", "answer": [ "Anne Meara", "Jerry Stiller" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "benjamin edward stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } 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"PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000100, "question": "find the parents of ben stiller.", "answer": [ "Jerry Stiller", "Anne Meara" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "Ben Stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000101, "question": "find the parents of benjamin edward stiller.", "answer": [ "Jerry Stiller", "Anne Meara" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "benjamin edward stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000102, "question": "find the parents of benjamin stiller.", "answer": [ "Jerry Stiller", "Anne Meara" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "benjamin stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000200, "question": "who are ben stiller's parents?", "answer": [ "Anne Meara", "Jerry Stiller" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "Ben Stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000201, "question": "who are benjamin edward stiller's parents?", "answer": [ "Anne Meara", "Jerry Stiller" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "benjamin edward stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 38000202, "question": "who are benjamin stiller's parents?", "answer": [ "Anne Meara", "Jerry Stiller" ], "function": "none", "commonness": -12.086977699616181, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedian", "class": "base.americancomedy.comedian", "friendly_name": "Comedian", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ben_stiller", "class": "people.person", "friendly_name": "benjamin stiller", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.children", "friendly_name": "Children" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.comedian\n VALUES ?x1 { :m.0mdqp }\n ?x0 :people.person.children ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000000, "question": "svalbard has what fossil specimens?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "Svalbard", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000001, "question": "svalbard archipelago has what fossil specimens?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "svalbard archipelago", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000002, "question": "svalbard islands has what fossil specimens?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "svalbard islands", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000100, "question": "what fossil speciments are located in the svalbard site?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "Svalbard", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000101, "question": "what fossil speciments are located in the svalbard archipelago site?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "svalbard archipelago", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000102, "question": "what fossil speciments are located in the svalbard islands site?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "svalbard islands", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000200, "question": "which fossil specimens are found at svalbard?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "Svalbard", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 :biology.fossil_specimen.found_at_site ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 39000201, "question": "which fossil specimens are found at svalbard archipelago?", "answer": [ "Pliosaurus" ], "function": "none", "commonness": -18.982916728576757, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.fossil_specimen", "class": "biology.fossil_specimen", "friendly_name": "Fossil specimen", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.svalbard", "class": "biology.fossil_site", "friendly_name": "svalbard archipelago", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.fossil_specimen.found_at_site", "friendly_name": "Found at site" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.fossil_specimen\n VALUES ?x1 { :m.06v2b }\n ?x0 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AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 41000001, "question": "which exposure is most suitable for growing a niagara grapes vine?", "answer": [ "Full Sun" ], "function": "none", "commonness": -24.221813150729638, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horticulture.sun_coverage", "class": "base.horticulture.sun_coverage", "friendly_name": "Exposure", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitis_labrusca_niagara", "class": "base.horticulture.cultured_plant", "friendly_name": "niagara grapes", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.horticulture.cultured_plant.exposure", "friendly_name": "Exposure" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 41000100, "question": "how much sunlight should the niagara grape get?", "answer": [ "Full Sun" ], "function": "none", "commonness": -24.221813150729638, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horticulture.sun_coverage", "class": "base.horticulture.sun_coverage", "friendly_name": "Exposure", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitis_labrusca_niagara", "class": "base.horticulture.cultured_plant", "friendly_name": "Niagara grape", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.horticulture.cultured_plant.exposure", "friendly_name": "Exposure" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 41000101, "question": "how much sunlight should the niagara grapes get?", "answer": [ "Full Sun" ], "function": "none", "commonness": -24.221813150729638, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horticulture.sun_coverage", "class": "base.horticulture.sun_coverage", "friendly_name": "Exposure", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitis_labrusca_niagara", "class": "base.horticulture.cultured_plant", "friendly_name": "niagara grapes", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.horticulture.cultured_plant.exposure", "friendly_name": "Exposure" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 41000200, "question": "what is the best exposure of the niagara grape?", "answer": [ "Full Sun" ], "function": "none", "commonness": -24.221813150729638, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horticulture.sun_coverage", "class": "base.horticulture.sun_coverage", "friendly_name": "Exposure", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitis_labrusca_niagara", "class": "base.horticulture.cultured_plant", "friendly_name": "Niagara grape", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.horticulture.cultured_plant.exposure", "friendly_name": "Exposure" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 41000201, "question": "what is the best exposure of the niagara grapes?", "answer": [ "Full Sun" ], "function": "none", "commonness": -24.221813150729638, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horticulture.sun_coverage", "class": "base.horticulture.sun_coverage", "friendly_name": "Exposure", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitis_labrusca_niagara", "class": "base.horticulture.cultured_plant", "friendly_name": "niagara grapes", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.horticulture.cultured_plant.exposure", "friendly_name": "Exposure" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.horticulture.sun_coverage\n VALUES ?x1 { :m.02cycr }\n ?x1 :base.horticulture.cultured_plant.exposure ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000000, "question": "what is the standard drinkware for margarita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000001, "question": "what is the standard drinkware for margerita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": 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"base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000101, "question": "what do people usually use to drink margerita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "margerita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000200, "question": "what kind of drinkware do you use for a margarita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000201, "question": "what kind of drinkware do you use for a margerita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "margerita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000300, "question": "what is a margarita typically served in?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000301, "question": "what is a margerita typically served in?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "margerita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000400, "question": "how does one drink margarita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000401, "question": "how does one drink margerita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "margerita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000500, "question": "what is the name of the cocktail glassware used for a margarita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "Margarita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 42000501, "question": "what is the name of the cocktail glassware used for a margerita?", "answer": [ "Margarita glass" ], "function": "none", "commonness": -17.98626205464805, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.cocktails.cocktail_drinkware", "class": "base.cocktails.cocktail_drinkware", "friendly_name": "Cocktail Drinkware", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.margarita", "class": "base.cocktails.cocktail", "friendly_name": "margerita", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.cocktails.cocktail.standard_drinkware", "friendly_name": "Standard drinkware" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.cocktails.cocktail_drinkware\n VALUES ?x1 { :m.016sb3 }\n ?x1 :base.cocktails.cocktail.standard_drinkware ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000000, "question": "what episodes about united states army are broadcasted in a radio?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "United States Army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000001, "question": "what episodes about army are broadcasted in a radio?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000002, "question": "what episodes about us army are broadcasted in a radio?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "us army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000100, "question": "which military radio program episodes focus on the united states army?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "United States Army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000101, "question": "which military radio program episodes focus on the army?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000102, "question": "which military radio program episodes focus on the us army?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "us army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000200, "question": "find radio program episodes about the united states army.", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "United States Army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000201, "question": "find radio program episodes about the army.", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000202, "question": "find radio program episodes about the us army.", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "us army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000300, "question": "which radio program episodes have united states army as the subject?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "United States Army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000301, "question": "which radio program episodes have army as the subject?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000302, "question": "which radio program episodes have us army as the subject?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", 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"id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "United States Army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000401, "question": "what are some radio program episodes revolving around the army?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 43000402, "question": "what are some radio program episodes revolving around the us army?", "answer": [ "Mental Anguish and the Military" ], "function": "none", "commonness": -18.730993072803155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program_episode", "class": "radio.radio_program_episode", "friendly_name": "Radio program episode", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.u_army", "class": "radio.radio_subject", "friendly_name": "us army", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "radio.radio_subject.episodes_with_this_subject", "friendly_name": "Episodes with this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program_episode\n VALUES ?x1 { :m.07wh1 }\n ?x1 :radio.radio_subject.episodes_with_this_subject ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 44000000, "question": "what's the classification of the bmw m10 engine?", "answer": [ "Straight-4" ], "function": "none", "commonness": -17.380666736546644, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine_type", "class": "automotive.engine_type", "friendly_name": "Engine Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_m10", "class": "automotive.engine", "friendly_name": "BMW M10", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine_type.used_in", "friendly_name": "Used In" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.engine_type\n VALUES ?x1 { :m.03lf5_ }\n ?x0 :automotive.engine_type.used_in ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 44000001, "question": "what's the classification of the m10 engine?", "answer": [ "Straight-4" ], "function": "none", "commonness": -17.380666736546644, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine_type", "class": "automotive.engine_type", "friendly_name": "Engine Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_m10", "class": "automotive.engine", "friendly_name": "m10", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine_type.used_in", "friendly_name": "Used In" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.engine_type\n VALUES ?x1 { :m.03lf5_ }\n ?x0 :automotive.engine_type.used_in ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 44000100, "question": "the bmw m10 is which kind of engine?", "answer": [ "Straight-4" ], "function": "none", "commonness": -17.380666736546644, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine_type", "class": "automotive.engine_type", "friendly_name": "Engine Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_m10", "class": "automotive.engine", "friendly_name": "BMW M10", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine_type.used_in", "friendly_name": "Used In" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.engine_type\n VALUES ?x1 { :m.03lf5_ }\n ?x0 :automotive.engine_type.used_in ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 44000101, "question": "the m10 is which kind of engine?", "answer": [ "Straight-4" ], "function": "none", "commonness": -17.380666736546644, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": 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"friendly_name": "Engine Type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_m10", "class": "automotive.engine", "friendly_name": "BMW M10", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine_type.used_in", "friendly_name": "Used In" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.engine_type\n VALUES ?x1 { :m.03lf5_ }\n ?x0 :automotive.engine_type.used_in ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 44000201, "question": "what type of engine is the m10?", "answer": [ "Straight-4" ], "function": "none", "commonness": -17.380666736546644, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine_type", "class": "automotive.engine_type", "friendly_name": "Engine Type", "question_node": 1, "function": 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"function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.09b9mx", "class": "base.americancomedy.comedy_group", "friendly_name": "iO", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.americancomedy.comedy_group.founders", "friendly_name": "Founders" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancomedy.comedy_group_founder . \nVALUES ?x1 { :m.09b9mx } \n?x1 :base.americancomedy.comedy_group.founders ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 45000001, "question": "who was the founder of the comedy group improvolympic?", "answer": [ "Del Close", "Charna Halpern" ], "function": "none", "commonness": -18.425815926699165, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedy_group_founder", "class": "base.americancomedy.comedy_group_founder", 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-18.425815926699165, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.comedy_group_founder", "class": "base.americancomedy.comedy_group_founder", "friendly_name": "Comedy group founder", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.09b9mx", "class": "base.americancomedy.comedy_group", "friendly_name": "improvolympic", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.americancomedy.comedy_group.founders", "friendly_name": "Founders" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancomedy.comedy_group_founder . \nVALUES ?x1 { :m.09b9mx } \n?x1 :base.americancomedy.comedy_group.founders ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 46000000, "question": "which order of chivalry category is the knights templar in?", 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chivalry category is the templars in?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templars", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000002, "question": "which order of chivalry category is the templar in?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000100, "question": "what kind of order is knights templar?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "Knights Templar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000101, "question": "what kind of order is templars?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templars", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000102, "question": "what kind of order is templar?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000200, "question": "what category is the order of chivalry knights templar in?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "Knights Templar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000201, "question": "what category is the order of chivalry templars in?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templars", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 46000202, "question": "what category is the order of chivalry templar in?", "answer": [ "Military order" ], "function": "none", "commonness": -18.558266965194978, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "royalty.order_of_chivalry_category", "class": "royalty.order_of_chivalry_category", "friendly_name": "Order of Chivalry Category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.knights_templar", "class": "royalty.order_of_chivalry", "friendly_name": "templar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "royalty.order_of_chivalry.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :royalty.order_of_chivalry_category\n VALUES ?x1 { :m.049jc }\n ?x1 :royalty.order_of_chivalry.category ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000000, "question": "what is the name of the cinematographer son or daughter of nancy pelosi?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "Nancy Pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000001, "question": "what is the name of the cinematographer son or daughter of pelosi?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000002, "question": "what is the name of the cinematographer son or daughter of speaker pelosi?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "speaker pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000100, "question": "which child of nancy pelosi chose a career in cinematography?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "Nancy Pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000101, "question": "which child of pelosi chose a career in cinematography?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000102, "question": "which child of speaker pelosi chose a career in cinematography?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "speaker pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000200, "question": "which of nancy pelosi's children work in the cinematography field?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "Nancy Pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000201, "question": "which of pelosi's children work in the cinematography field?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000202, "question": "which of speaker pelosi's children work in the cinematography field?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "speaker pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000300, "question": "which of nancy pelosi's children chose to become a cinematographer?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "Nancy Pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000301, "question": "which of pelosi's children chose to become a cinematographer?", "answer": [ "Alexandra Pelosi" ], "function": "none", "commonness": -11.463001840688653, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.cinematographer", "class": "film.cinematographer", "friendly_name": "Film cinematographer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.nancy_pelosi", "class": "people.person", "friendly_name": "pelosi", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.parents", "friendly_name": "Parents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.cinematographer\n VALUES ?x1 { :m.012v1t }\n ?x0 :people.person.parents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 47000302, "question": "which of speaker pelosi's children chose to become a cinematographer?", "answer": [ "Alexandra Pelosi" ], "function": 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immunofluorescence antibody test", "Blood test", "Polymerase chain reaction" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "Feline infectious peritonitis", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 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\n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000200, "question": "what is the procedure for determining a case of feline infectious peritonitis?", "answer": [ "Polymerase chain reaction", "Blood test", "ELISA", "Indirect immunofluorescence antibody test" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "Feline infectious peritonitis", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000201, "question": "what is the procedure for determining a case of fip?", "answer": [ "Polymerase chain reaction", "Blood test", "Indirect immunofluorescence antibody test", "ELISA" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "fip", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000300, "question": "how to diagnose feline infectious peritonitis?", "answer": [ "Blood test", "ELISA", "Polymerase chain reaction", "Indirect immunofluorescence antibody test" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "Feline infectious peritonitis", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000301, "question": "how to diagnose fip?", "answer": [ "Indirect immunofluorescence antibody test", "ELISA", "Polymerase chain reaction", "Blood test" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "fip", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000400, "question": "how is feline infectious peritonitis diagnosed?", "answer": [ "Polymerase chain reaction", "Indirect immunofluorescence antibody test", "Blood test", "ELISA" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "Feline infectious peritonitis", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 51000401, "question": "how is fip diagnosed?", "answer": [ "Polymerase chain reaction", "Blood test", "Indirect immunofluorescence antibody test", "ELISA" ], "function": "none", "commonness": -16.600327420677367, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.pethealth.diagnosis", "class": "base.pethealth.diagnosis", "friendly_name": "Pet Diagnostic Test", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.feline_infectious_peritonitis", "class": "base.pethealth.pet_disease_or_medical_condition", "friendly_name": "fip", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.pethealth.pet_disease_or_medical_condition.diagnosis", "friendly_name": "Diagnostic Tests" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.diagnosis\n VALUES ?x1 { :m.06_1k9 }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.diagnosis ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000000, "question": "tv pg is part of what tv rating system?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000001, "question": "tv-pg is part of what tv rating system?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000100, "question": "which tv rating systems include the rating tv pg?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000101, "question": "which tv rating systems include the rating tv-pg?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000200, "question": "find the tv rating systems that use tv pg.", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000201, "question": "find the tv rating systems that use tv-pg.", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000300, "question": "tv pg belongs to which tv rating system?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000301, "question": "tv-pg belongs to which tv rating system?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000400, "question": "tv pg is a rating used by which tv rating systems?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000401, "question": "tv-pg is a rating used by which tv rating systems?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000500, "question": "what is the rating system that tv pg is a part of ?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "TV PG", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 52000501, "question": "what is the rating system that tv-pg is a part of ?", "answer": [ "TV Parental Guidelines" ], "function": "none", "commonness": -22.218174098448266, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating_system", "class": "tv.tv_rating_system", "friendly_name": "TV Rating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_pg", "class": "tv.tv_rating", "friendly_name": "tv-pg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating_system\n VALUES ?x1 { :m.030p0gj }\n ?x1 :tv.tv_rating.tv_rating_system ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 53000000, "question": "what ad targeting methods are available on adsense?", "answer": [ "Contextual advertising" ], "function": "none", "commonness": -17.96881996053463, "num_node": 2, "num_edge": 1, 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"relation": "base.coinsdaily.coin_type.composition", "friendly_name": "composition" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.coinsdaily.composition\n VALUES ?x1 { :m.06jxtc }\n ?x1 :base.coinsdaily.coin_type.composition ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 54000301, "question": "what is the morgan silver dollar made of?", "answer": [ "Silver .900 silver .100 copper" ], "function": "none", "commonness": -17.09280212420446, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.coinsdaily.composition", "class": "base.coinsdaily.composition", "friendly_name": "coin composition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.morgan_dollar", "class": "base.coinsdaily.coin_type", "friendly_name": "morgan silver dollar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.coinsdaily.coin_type.composition", "friendly_name": "composition" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.coinsdaily.composition\n VALUES ?x1 { :m.06jxtc }\n ?x1 :base.coinsdaily.coin_type.composition ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 54000400, "question": "tell me the composition of the morgan dollar.", "answer": [ "Silver .900 silver .100 copper" ], "function": "none", "commonness": -17.09280212420446, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.coinsdaily.composition", "class": "base.coinsdaily.composition", "friendly_name": "coin composition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.morgan_dollar", "class": "base.coinsdaily.coin_type", "friendly_name": "Morgan dollar", "question_node": 0, 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silver dollar", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.coinsdaily.coin_type.composition", "friendly_name": "composition" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.coinsdaily.composition\n VALUES ?x1 { :m.06jxtc }\n ?x1 :base.coinsdaily.coin_type.composition ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000000, "question": "what classifications do lilium organisms derive from?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "Lilium", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000001, "question": "what classifications do lily organisms derive from?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lily", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000002, "question": "what classifications do lilies organisms derive from?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lilies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000100, "question": "what organism classification is one level above lilium?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "Lilium", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000101, "question": "what organism classification is one level above lily?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lily", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000102, "question": "what organism classification is one level above lilies?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lilies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000200, "question": "lilium has which parent classifications?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "Lilium", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000201, "question": "lily has which parent classifications?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lily", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000202, "question": "lilies has which parent classifications?", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lilies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000300, "question": "find the parent classification of lilium.", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "Lilium", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000301, "question": "find the parent classification of lily.", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lily", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 55000302, "question": "find the parent classification of lilies.", "answer": [ "Liliaceae" ], "function": "none", "commonness": -11.26736244928001, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.organism_classification", "class": "biology.organism_classification", "friendly_name": "Organism Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.lilium", "class": "biology.organism_classification", "friendly_name": "lilies", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism_classification.lower_classifications", "friendly_name": "Lower classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.organism_classification\n VALUES ?x1 { :m.0jqgx }\n ?x0 :biology.organism_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000000, "question": "google has what organizational sectors?", "answer": [ "Software", "Telecommunications equipment", "The Internet" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000001, "question": "google inc has what organizational sectors?", "answer": [ "Software", "The Internet", "Telecommunications equipment" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000100, "question": "what segments are in google?", "answer": [ "Telecommunications equipment", "Software", "The Internet" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000101, "question": "what segments are in google inc?", "answer": [ "Software", "The Internet", "Telecommunications equipment" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000200, "question": "tell me the areas of focus of google.", "answer": [ "Telecommunications equipment", "Software", "The Internet" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000201, "question": "tell me the areas of focus of google inc.", "answer": [ "Software", "The Internet", "Telecommunications equipment" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000300, "question": "what sectors does google focus on?", "answer": [ "Telecommunications equipment", "The Internet", "Software" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000301, "question": "what sectors does google inc focus on?", "answer": [ "Telecommunications equipment", "The Internet", "Software" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000400, "question": "what sectors does google have?", "answer": [ "Software", "The Internet", "Telecommunications equipment" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000401, "question": "what sectors does google inc have?", "answer": [ "The Internet", "Telecommunications equipment", "Software" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000500, "question": "what sectors can be found in google?", "answer": [ "The Internet", "Telecommunications equipment", "Software" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "Google", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 56000501, "question": "what sectors can be found in google inc?", "answer": [ "Telecommunications equipment", "The Internet", "Software" ], "function": "none", "commonness": -9.222912598266827, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "organization.organization_sector", "class": "organization.organization_sector", "friendly_name": "Organization sector", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.google", "class": "organization.organization", "friendly_name": "google inc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "organization.organization.sectors", "friendly_name": "Sectors" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :organization.organization_sector\n VALUES ?x1 { :m.045c7b }\n ?x1 :organization.organization.sectors ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 57000000, "question": "what ski lift serves m1?", "answer": [ "Coronet Express chair", "Greengates Express chair" ], "function": "none", "commonness": -23.194543884806347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "skiing.ski_lift", "class": "skiing.ski_lift", "friendly_name": "Ski Lift", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0770934", "class": "skiing.ski_run", "friendly_name": "M1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "skiing.ski_run.served_by", "friendly_name": "Served By" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :skiing.ski_lift . \nVALUES ?x1 { :m.0770934 } \n?x1 :skiing.ski_run.served_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 57000100, "question": "the m1 is accessible by which ski lifts?", "answer": [ "Greengates Express chair", "Coronet Express chair" ], "function": "none", "commonness": -23.194543884806347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "skiing.ski_lift", "class": "skiing.ski_lift", "friendly_name": "Ski Lift", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0770934", "class": "skiing.ski_run", "friendly_name": "M1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "skiing.ski_run.served_by", "friendly_name": "Served By" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :skiing.ski_lift . \nVALUES ?x1 { :m.0770934 } \n?x1 :skiing.ski_run.served_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 57000200, "question": "m1 is served by what ski lift?", "answer": [ "Coronet Express chair", "Greengates Express chair" ], "function": "none", "commonness": -23.194543884806347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "skiing.ski_lift", "class": "skiing.ski_lift", "friendly_name": "Ski Lift", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0770934", "class": "skiing.ski_run", "friendly_name": "M1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "skiing.ski_run.served_by", "friendly_name": "Served By" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :skiing.ski_lift . \nVALUES ?x1 { :m.0770934 } \n?x1 :skiing.ski_run.served_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 57000300, "question": "what kind of ski lift is m1 using?", "answer": [ "Coronet Express chair", "Greengates Express chair" ], "function": "none", "commonness": -23.194543884806347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "skiing.ski_lift", "class": "skiing.ski_lift", "friendly_name": "Ski Lift", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "m.0770934", "class": "skiing.ski_run", "friendly_name": "M1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "skiing.ski_run.served_by", "friendly_name": "Served By" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :skiing.ski_lift . \nVALUES ?x1 { :m.0770934 } \n?x1 :skiing.ski_run.served_by ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 58000000, "question": "what ratings are used in tv parental guidelines?", "answer": [ "TV Y", "TV MA", "TV 14", "TV PG", "TV G", "TV Y7", "TV Y7 FV" ], "function": "none", "commonness": -21.725644592316904, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating", "class": "tv.tv_rating", "friendly_name": "TV Rating", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_parental_guidelines", "class": "tv.tv_rating_system", "friendly_name": "TV Parental Guidelines", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating\n VALUES ?x1 { :m.06zttrv }\n ?x0 :tv.tv_rating.tv_rating_system ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 58000100, "question": "tv parental guidelines uses different ratings, what are they?", "answer": [ "TV Y", "TV Y7", "TV PG", "TV G", "TV MA", "TV 14", "TV Y7 FV" ], "function": "none", "commonness": -21.725644592316904, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating", "class": "tv.tv_rating", "friendly_name": "TV Rating", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_parental_guidelines", "class": "tv.tv_rating_system", "friendly_name": "TV Parental Guidelines", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating\n VALUES ?x1 { :m.06zttrv }\n ?x0 :tv.tv_rating.tv_rating_system ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 58000200, "question": "list the different ratings in the tv parental guidelines system?", "answer": [ "TV MA", "TV G", "TV Y", "TV 14", "TV PG", "TV Y7 FV", "TV Y7" ], "function": "none", "commonness": -21.725644592316904, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating", "class": "tv.tv_rating", "friendly_name": "TV Rating", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_parental_guidelines", "class": "tv.tv_rating_system", "friendly_name": "TV Parental Guidelines", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating\n VALUES ?x1 { :m.06zttrv }\n ?x0 :tv.tv_rating.tv_rating_system ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 58000300, "question": "what ratings are included in the tv parental guidelines system?", "answer": [ "TV MA", "TV Y", "TV 14", "TV Y7", "TV G", "TV PG", "TV Y7 FV" ], "function": "none", "commonness": -21.725644592316904, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "tv.tv_rating", "class": "tv.tv_rating", "friendly_name": "TV Rating", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.tv_parental_guidelines", "class": "tv.tv_rating_system", "friendly_name": "TV Parental Guidelines", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "tv.tv_rating.tv_rating_system", "friendly_name": "TV Rating System" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :tv.tv_rating\n VALUES ?x1 { :m.06zttrv }\n ?x0 :tv.tv_rating.tv_rating_system ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 59000000, "question": "in which classification of chemicals is vitamin sub-classified?", "answer": [ "Organic compound" ], "function": "none", "commonness": -15.775155317841211, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_classification", "class": "chemistry.chemical_classification", "friendly_name": "Chemical Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitamin", "class": "chemistry.chemical_classification", "friendly_name": "Vitamin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_classification.lower_classifications", "friendly_name": "Lower Classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.chemical_classification\n VALUES ?x1 { :m.07zry }\n ?x0 :chemistry.chemical_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 59000001, "question": "in which classification of chemicals is vitamins sub-classified?", "answer": [ "Organic compound" ], "function": "none", "commonness": -15.775155317841211, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_classification", "class": "chemistry.chemical_classification", "friendly_name": "Chemical Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitamin", "class": "chemistry.chemical_classification", "friendly_name": "vitamins", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_classification.lower_classifications", "friendly_name": "Lower Classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.chemical_classification\n VALUES ?x1 { :m.07zry }\n ?x0 :chemistry.chemical_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 59000002, "question": "in which classification of chemicals is vitamine sub-classified?", "answer": [ "Organic compound" ], "function": "none", "commonness": -15.775155317841211, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_classification", "class": "chemistry.chemical_classification", "friendly_name": "Chemical Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitamin", "class": "chemistry.chemical_classification", "friendly_name": "vitamine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_classification.lower_classifications", "friendly_name": "Lower Classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.chemical_classification\n VALUES ?x1 { :m.07zry }\n ?x0 :chemistry.chemical_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 59000100, "question": "vitamin is included in what chemical classifications?", "answer": [ "Organic compound" ], "function": "none", "commonness": -15.775155317841211, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_classification", "class": "chemistry.chemical_classification", "friendly_name": "Chemical Classification", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.vitamin", "class": "chemistry.chemical_classification", "friendly_name": "Vitamin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_classification.lower_classifications", "friendly_name": "Lower Classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.chemical_classification\n VALUES ?x1 { :m.07zry }\n ?x0 :chemistry.chemical_classification.lower_classifications ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 59000101, "question": "vitamins is included in what chemical classifications?", "answer": [ 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exploration rover?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "Mars Exploration Rover", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000301, "question": "what's the destination of the mer?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "mer", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000302, "question": "what's the destination of the spirit and opportunity?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "spirit and opportunity", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000400, "question": "where is the mars exploration rover headed?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "Mars Exploration Rover", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000401, "question": "where is the mer headed?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "mer", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000402, "question": "where is the spirit and opportunity headed?", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "spirit and opportunity", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000500, "question": "find the intended destination of mars exploration rover.", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "Mars Exploration Rover", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000501, "question": "find the intended destination of mer.", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "mer", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 60000502, "question": "find the intended destination of spirit and opportunity.", "answer": [ "Mars" ], "function": "none", "commonness": -14.111542566181667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.mission_destination", "class": "spaceflight.mission_destination", "friendly_name": "Mission destination", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.mars_exploration_rover", "class": "spaceflight.space_mission", "friendly_name": "spirit and opportunity", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.space_mission.destination", "friendly_name": "Destination" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.mission_destination\n VALUES ?x1 { :m.01lj7r }\n ?x1 :spaceflight.space_mission.destination ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000000, "question": "which organizations and individuals have contributed data to wordnet?", "answer": [ "Randee Tengi", "Helen Langone", "Pamela Wakefield", "Christiane Fellbaum", "Benjamin R. Haskell", "George A. Miller" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "WordNet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000001, "question": "which organizations and individuals have contributed data to princeton wordnet?", "answer": [ "Randee Tengi", "Pamela Wakefield", "Benjamin R. Haskell", "Christiane Fellbaum", "Helen Langone", "George A. Miller" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "princeton wordnet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000100, "question": "who is credited with contributing to the creation of wordnet?", "answer": [ "Randee Tengi", "Christiane Fellbaum", "Benjamin R. Haskell", "George A. Miller", "Pamela Wakefield", "Helen Langone" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "WordNet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000101, "question": "who is credited with contributing to the creation of princeton wordnet?", "answer": [ "Randee Tengi", "Pamela Wakefield", "Benjamin R. Haskell", "Christiane Fellbaum", "Helen Langone", "George A. Miller" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "princeton wordnet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000200, "question": "who have contributed data to wordnet?", "answer": [ "Benjamin R. Haskell", "George A. Miller", "Pamela Wakefield", "Christiane Fellbaum", "Randee Tengi", "Helen Langone" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "WordNet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000201, "question": "who have contributed data to princeton wordnet?", "answer": [ "Pamela Wakefield", "Helen Langone", "Randee Tengi", "George A. Miller", "Benjamin R. Haskell", "Christiane Fellbaum" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "princeton wordnet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000300, "question": "who are the data contributors of wordnet?", "answer": [ "Helen Langone", "Randee Tengi", "Pamela Wakefield", "Christiane Fellbaum", "Benjamin R. Haskell", "George A. Miller" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "WordNet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 61000301, "question": "who are the data contributors of princeton wordnet?", "answer": [ "Pamela Wakefield", "Helen Langone", "Randee Tengi", "Benjamin R. Haskell", "George A. Miller", "Christiane Fellbaum" ], "function": "none", "commonness": -16.318339719259637, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.database.data_contributor", "class": "base.database.data_contributor", "friendly_name": "Data contributor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.wordnet", "class": "base.database.database", "friendly_name": "princeton wordnet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.database.database.data_contributor_s", "friendly_name": "Data contributor(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.database.data_contributor\n VALUES ?x1 { :m.0861s }\n ?x1 :base.database.database.data_contributor_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 62000000, "question": "what fuel can be used for the engine bmw 3.0l 6 cylinder 300 hp 300 ft-lbs turbo?", "answer": [ "Gasoline" ], "function": "none", "commonness": -20.70207276046404, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.fuel", "class": "automotive.fuel", "friendly_name": "Fuel", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_3_0l_6_cylinder_300_hp_300_ft_lbs_turbo", "class": "automotive.engine", "friendly_name": "BMW 3.0L 6 cylinder 300 hp 300 ft-lbs Turbo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.engine.fuels_used", "friendly_name": "Fuels Used" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.fuel\n VALUES ?x1 { :m.04nktc9 }\n ?x1 :automotive.engine.fuels_used ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 62000100, "question": "what does the bmw 3.0l 6 cylinder 300 hp 300 ft-lbs turbo engine use for fuel?", "answer": [ "Gasoline" ], "function": "none", "commonness": -20.70207276046404, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.fuel", "class": "automotive.fuel", "friendly_name": "Fuel", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_3_0l_6_cylinder_300_hp_300_ft_lbs_turbo", "class": "automotive.engine", "friendly_name": "BMW 3.0L 6 cylinder 300 hp 300 ft-lbs Turbo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.engine.fuels_used", "friendly_name": "Fuels Used" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.fuel\n VALUES ?x1 { :m.04nktc9 }\n ?x1 :automotive.engine.fuels_used ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 62000200, "question": "what fuel does the bmw 3.0l 6 cylinder 300 hp 300 ft-lbs turbo engine use?", "answer": [ "Gasoline" ], "function": "none", "commonness": -20.70207276046404, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.fuel", "class": "automotive.fuel", "friendly_name": "Fuel", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bmw_3_0l_6_cylinder_300_hp_300_ft_lbs_turbo", "class": "automotive.engine", "friendly_name": "BMW 3.0L 6 cylinder 300 hp 300 ft-lbs Turbo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.engine.fuels_used", "friendly_name": "Fuels Used" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.fuel\n VALUES ?x1 { :m.04nktc9 }\n ?x1 :automotive.engine.fuels_used ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000000, "question": "find islam diet practicers.", "answer": [ "Q-Tip", "A. P. J. Abdul Kalam" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "Islam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000001, "question": "find islaam diet practicers.", "answer": [ "A. P. J. Abdul Kalam", "Q-Tip" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islaam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000002, "question": "find islamic faith diet practicers.", "answer": [ "Q-Tip", "A. P. J. Abdul Kalam" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islamic faith", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000100, "question": "find diet practitioners whose religion is islam.", "answer": [ "A. P. J. Abdul Kalam", "Q-Tip" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "Islam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000101, "question": "find diet practitioners whose religion is islaam.", "answer": [ "A. P. J. Abdul Kalam", "Q-Tip" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islaam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000102, "question": "find diet practitioners whose religion is islamic faith.", "answer": [ "A. P. J. Abdul Kalam", "Q-Tip" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islamic faith", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000200, "question": "what are the names of diet practitioners who follow the islam religion?", "answer": [ "Q-Tip", "A. P. J. Abdul Kalam" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "Islam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000201, "question": "what are the names of diet practitioners who follow the islaam religion?", "answer": [ "Q-Tip", "A. P. J. Abdul Kalam" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islaam", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 63000202, "question": "what are the names of diet practitioners who follow the islamic faith religion?", "answer": [ "A. P. J. Abdul Kalam", "Q-Tip" ], "function": "none", "commonness": -9.642628402256545, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.eating.practicer_of_diet", "class": "base.eating.practicer_of_diet", "friendly_name": "Practicer of diet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.islam", "class": "religion.religion", "friendly_name": "islamic faith", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.religion", "friendly_name": "Religion" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.eating.practicer_of_diet\n VALUES ?x1 { :m.0flw86 }\n ?x0 :people.person.religion ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 64000000, "question": "which dog breeds have a blue coat?", "answer": [ "Border Collie" ], "function": "none", "commonness": -14.047684491886347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.petbreeds.dog_breed", "class": "base.petbreeds.dog_breed", "friendly_name": "Dog Breed", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.blue", "class": "base.petbreeds.dog_coat_color", "friendly_name": "Blue", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.petbreeds.dog_breed.color", "friendly_name": "Color" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.petbreeds.dog_breed\n VALUES ?x1 { :m.01g5v }\n ?x0 :base.petbreeds.dog_breed.color ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 64000100, "question": "what is the name of the dog breed that features blue coat?", "answer": [ "Border Collie" ], "function": "none", "commonness": -14.047684491886347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.petbreeds.dog_breed", "class": "base.petbreeds.dog_breed", "friendly_name": "Dog Breed", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.blue", "class": "base.petbreeds.dog_coat_color", "friendly_name": "Blue", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.petbreeds.dog_breed.color", "friendly_name": "Color" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.petbreeds.dog_breed\n VALUES ?x1 { :m.01g5v }\n ?x0 :base.petbreeds.dog_breed.color ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 64000200, "question": "which breeds of dogs are blue?", "answer": [ "Border Collie" ], "function": "none", "commonness": -14.047684491886347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.petbreeds.dog_breed", "class": "base.petbreeds.dog_breed", "friendly_name": "Dog Breed", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.blue", "class": "base.petbreeds.dog_coat_color", "friendly_name": "Blue", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.petbreeds.dog_breed.color", "friendly_name": "Color" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.petbreeds.dog_breed\n VALUES ?x1 { :m.01g5v }\n ?x0 :base.petbreeds.dog_breed.color ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 64000300, "question": "what dog breeds are of blue color?", "answer": [ "Border Collie" ], "function": "none", "commonness": -14.047684491886347, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.petbreeds.dog_breed", "class": "base.petbreeds.dog_breed", "friendly_name": "Dog Breed", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.blue", "class": "base.petbreeds.dog_coat_color", "friendly_name": "Blue", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.petbreeds.dog_breed.color", "friendly_name": "Color" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.petbreeds.dog_breed\n VALUES ?x1 { :m.01g5v }\n ?x0 :base.petbreeds.dog_breed.color ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000000, "question": "what mathematical concept has circle as a specialization?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Circle", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000001, "question": "what mathematical concept has round as a specialization?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "round", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000100, "question": "circle is a specialization of what mathematical concept?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Circle", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000101, "question": "round is a specialization of what mathematical concept?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "round", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000200, "question": "what are the concepts in mathematics that generalize circle?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Circle", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000201, "question": "what are the concepts in mathematics that generalize round?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "round", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000300, "question": "what mathematical concepts specialize circle?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Circle", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 65000301, "question": "what mathematical concepts specialize round?", "answer": [ "n-sphere" ], "function": "none", "commonness": -15.649894192373681, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.mathematics1.mathematical_concept", "class": "base.mathematics1.mathematical_concept", "friendly_name": "Mathematical concept", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.circle", "class": "base.mathematics1.mathematical_concept", "friendly_name": "round", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.mathematics1.mathematical_concept.specializations", "friendly_name": "Specializations" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.mathematics1.mathematical_concept\n VALUES ?x1 { :m.01vkl }\n ?x0 :base.mathematics1.mathematical_concept.specializations ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000000, "question": "find theses from university of california, berkeley.", "answer": [ "A Framework for Separating Server Scalability and Availability from Internet Application Functionality", "Ultraproducts and Elementary Classes" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "University of California, Berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000001, "question": "find theses from uc berkeley.", "answer": [ "A Framework for Separating Server Scalability and Availability from Internet Application Functionality", "Ultraproducts and Elementary Classes" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "uc berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000002, "question": "find theses from university of california at berkeley.", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "university of california at berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000100, "question": "what dissertations were written at university of california, berkeley?", "answer": [ "A Framework for Separating Server Scalability and Availability from Internet Application Functionality", "Ultraproducts and Elementary Classes" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "University of California, Berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000101, "question": "what dissertations were written at uc berkeley?", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "uc berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000102, "question": "what dissertations were written at university of california at berkeley?", "answer": [ "A Framework for Separating Server Scalability and Availability from Internet Application Functionality", "Ultraproducts and Elementary Classes" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "university of california at berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000200, "question": "what theses are available from university of california, berkeley?", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "University of California, Berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000201, "question": "what theses are available from uc berkeley?", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "uc berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000202, "question": "what theses are available from university of california at berkeley?", "answer": [ "A Framework for Separating Server Scalability and Availability from Internet Application Functionality", "Ultraproducts and Elementary Classes" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "university of california at berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000300, "question": "look for university of california, berkeley theses.", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "University of California, Berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000301, "question": "look for uc berkeley theses.", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "uc berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 66000302, "question": "look for university of california at berkeley theses.", "answer": [ "Ultraproducts and Elementary Classes", "A Framework for Separating Server Scalability and Availability from Internet Application Functionality" ], "function": "none", "commonness": -17.258794343414916, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bibkn.thesis", "class": "base.bibkn.thesis", "friendly_name": "Thesis", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.university_of_california_berkeley", "class": "education.educational_institution", "friendly_name": "university of california at berkeley", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "education.dissertation.institution", "friendly_name": "Institution" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.bibkn.thesis\n VALUES ?x1 { :m.02zd460 }\n ?x0 :education.dissertation.institution ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000000, "question": "what sort of grip does ma lin use when holding the bat?", "answer": [ "Chinese Penhold", "Reverse Penhold Backhand" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "Ma Lin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000001, "question": "what sort of grip does lin ma use when holding the bat?", "answer": [ "Chinese Penhold", "Reverse Penhold Backhand" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "lin ma", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000100, "question": "describe ma lin's bat gripping style.", "answer": [ "Reverse Penhold Backhand", "Chinese Penhold" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "Ma Lin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000101, "question": "describe lin ma's bat gripping style.", "answer": [ "Reverse Penhold Backhand", "Chinese Penhold" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "lin ma", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000200, "question": "what style of grip is ma lin using?", "answer": [ "Chinese Penhold", "Reverse Penhold Backhand" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "Ma Lin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000201, "question": "what style of grip is lin ma using?", "answer": [ "Chinese Penhold", "Reverse Penhold Backhand" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "lin ma", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000300, "question": "how does ma lin grip the bat?", "answer": [ "Reverse Penhold Backhand", "Chinese Penhold" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "Ma Lin", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 67000301, "question": "how does lin ma grip the bat?", "answer": [ "Reverse Penhold Backhand", "Chinese Penhold" ], "function": "none", "commonness": -23.663002565494438, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.tabletennis.grip", "class": "base.tabletennis.grip", "friendly_name": "Grip", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ma_lin_1980", "class": "base.tabletennis.athlete", "friendly_name": "lin ma", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.tabletennis.athlete.style_of_grip", "friendly_name": "Style of grip" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.tabletennis.grip\n VALUES ?x1 { :m.026n833 }\n ?x1 :base.tabletennis.athlete.style_of_grip ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000000, "question": "what are the tropical cyclone classes that the australian bureau of meteorology is using?", "answer": [ "Category 1 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000001, "question": "what are the tropical cyclone classes that the bom is using?", "answer": [ "Tropical Low (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000002, "question": "what are the tropical cyclone classes that the bureau of meteorology is using?", "answer": [ "Tropical Low (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000100, "question": "what categories of tropical cyclones are used by the australian bureau of meteorology?", "answer": [ "Tropical Low (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000101, "question": "what categories of tropical cyclones are used by the bom?", "answer": [ "Category 3 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 5 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000102, "question": "what categories of tropical cyclones are used by the bureau of meteorology?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 1 Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000200, "question": "the australian bureau of meteorology uses which categories of tropical cyclones?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000201, "question": "the bom uses which categories of tropical cyclones?", "answer": [ "Category 4 Severe Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000202, "question": "the bureau of meteorology uses which categories of tropical cyclones?", "answer": [ "Category 4 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000300, "question": "what categories does the australian bureau of meteorology use for tropical cyclones?", "answer": [ "Tropical Low (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000301, "question": "what categories does the bom use for tropical cyclones?", "answer": [ "Category 5 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Tropical Low (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000302, "question": "what categories does the bureau of meteorology use for tropical cyclones?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000400, "question": "how are tropical cyclones categorized by the australian bureau of meteorology?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000401, "question": "how are tropical cyclones categorized by the bom?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 1 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000402, "question": "how are tropical cyclones categorized by the bureau of meteorology?", "answer": [ "Category 1 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000500, "question": "what are the different categories for tropical cyclones that the australian bureau of meteorology uses?", "answer": [ "Category 5 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "Australian Bureau of Meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000501, "question": "what are the different categories for tropical cyclones that the bom uses?", "answer": [ "Category 1 Tropical Cyclone (BOM)", "Tropical Low (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 2 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bom", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 68000502, "question": "what are the different categories for tropical cyclones that the bureau of meteorology uses?", "answer": [ "Category 2 Tropical Cyclone (BOM)", "Category 5 Severe Tropical Cyclone (BOM)", "Category 3 Severe Tropical Cyclone (BOM)", "Category 4 Severe Tropical Cyclone (BOM)", "Category 1 Tropical Cyclone (BOM)", "Tropical Low (BOM)" ], "function": "none", "commonness": -17.939991743423864, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_category", "class": "meteorology.tropical_cyclone_category", "friendly_name": "Tropical cyclone category", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.bureau_of_meteorology", "class": "meteorology.meteorological_service", "friendly_name": "bureau of meteorology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "meteorology.meteorological_service.tropical_cyclone_categories", "friendly_name": "Tropical Cyclone Categories" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :meteorology.tropical_cyclone_category\n VALUES ?x1 { :m.05yb3f }\n ?x1 :meteorology.meteorological_service.tropical_cyclone_categories ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 69000000, "question": "the hplhs solstice carol songbook contains what christmas carols?", "answer": [ "Carol of the Old Ones" ], "function": "none", "commonness": -21.291252265270323, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.christmas.christmas_carol", "class": "base.christmas.christmas_carol", "friendly_name": "Christmas carol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.hplhs_solstice_carol_songbook", "class": "music.composition", "friendly_name": "HPLHS Solstice Carol Songbook", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "music.composition.part_of", "friendly_name": "Part of" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.christmas.christmas_carol\n VALUES ?x1 { :m.09sktqy }\n ?x0 :music.composition.part_of ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 69000100, "question": "what christmas carols are incorporated in the hplhs solstice carol songbook?", "answer": [ "Carol of the Old Ones" ], "function": "none", "commonness": -21.291252265270323, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.christmas.christmas_carol", "class": "base.christmas.christmas_carol", "friendly_name": "Christmas carol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.hplhs_solstice_carol_songbook", "class": "music.composition", "friendly_name": "HPLHS Solstice Carol Songbook", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "music.composition.part_of", "friendly_name": "Part of" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.christmas.christmas_carol\n VALUES ?x1 { :m.09sktqy }\n ?x0 :music.composition.part_of ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 69000200, "question": "what christmas songs are included in the hplhs solstice carol songbook?", "answer": [ "Carol of the Old Ones" ], "function": "none", "commonness": -21.291252265270323, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.christmas.christmas_carol", "class": "base.christmas.christmas_carol", "friendly_name": "Christmas carol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.hplhs_solstice_carol_songbook", "class": "music.composition", "friendly_name": "HPLHS Solstice Carol Songbook", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "music.composition.part_of", "friendly_name": "Part of" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.christmas.christmas_carol\n VALUES ?x1 { :m.09sktqy }\n ?x0 :music.composition.part_of ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 69000300, "question": "which christmas carols are a part of the hplhs solstice carol songbook?", "answer": [ "Carol of the Old Ones" ], "function": "none", "commonness": -21.291252265270323, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.christmas.christmas_carol", "class": "base.christmas.christmas_carol", "friendly_name": "Christmas carol", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.hplhs_solstice_carol_songbook", "class": "music.composition", "friendly_name": "HPLHS Solstice Carol Songbook", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "music.composition.part_of", "friendly_name": "Part of" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.christmas.christmas_carol\n VALUES ?x1 { :m.09sktqy }\n ?x0 :music.composition.part_of ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000000, "question": "of the four types of tea, which is darjeeling tea?", "answer": [ "Oolong", "Black tea" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "Darjeeling tea", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000001, "question": "of the four types of tea, which is darjeeling?", "answer": [ "Oolong", "Black tea" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "darjeeling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000100, "question": "what the darjeeling tea is classified as?", "answer": [ "Black tea", "Oolong" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "Darjeeling tea", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000101, "question": "what the darjeeling is classified as?", "answer": [ "Oolong", "Black tea" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "darjeeling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000200, "question": "what is the type of the darjeeling tea?", "answer": [ "Oolong", "Black tea" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "Darjeeling tea", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000201, "question": "what is the type of the darjeeling?", "answer": [ "Black tea", "Oolong" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", "friendly_name": "Tea type", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.darjeeling_tea", "class": "food.tea", "friendly_name": "darjeeling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.tea.tea_type", "friendly_name": "Type" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 70000300, "question": "darjeeling tea is what type of tea?", "answer": [ "Black tea", "Oolong" ], "function": "none", "commonness": -16.935525465954417, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.tea_type", "class": "food.tea_type", 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"sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.tea_type\n VALUES ?x1 { :m.07ql8f }\n ?x1 :food.tea.tea_type ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 71000000, "question": "what entrepreneur was also an olympic torchbearer?", "answer": [ "Will.i.am" ], "function": "none", "commonness": -13.63068675256131, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "olympics.olympic_torchbearer", "class": "olympics.olympic_torchbearer", "friendly_name": "Olympic Torchbearer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.entrepreneur", "class": "people.profession", "friendly_name": "Entrepreneur", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "people.profession.people_with_this_profession", "friendly_name": "People With This Profession" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :olympics.olympic_torchbearer\n VALUES ?x1 { :m.09x_r }\n ?x1 :people.profession.people_with_this_profession ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 71000100, "question": "which olympic torchbearers were entrepreneurs?", "answer": [ "Will.i.am" ], "function": "none", "commonness": -13.63068675256131, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "olympics.olympic_torchbearer", "class": "olympics.olympic_torchbearer", "friendly_name": "Olympic Torchbearer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.entrepreneur", "class": "people.profession", "friendly_name": "Entrepreneur", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "people.profession.people_with_this_profession", "friendly_name": "People 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"people.profession.people_with_this_profession", "friendly_name": "People With This Profession" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :olympics.olympic_torchbearer\n VALUES ?x1 { :m.09x_r }\n ?x1 :people.profession.people_with_this_profession ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 71000300, "question": "find olympic torchbearers who is a entrepreneur.", "answer": [ "Will.i.am" ], "function": "none", "commonness": -13.63068675256131, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "olympics.olympic_torchbearer", "class": "olympics.olympic_torchbearer", "friendly_name": "Olympic Torchbearer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.entrepreneur", "class": "people.profession", "friendly_name": "Entrepreneur", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "people.profession.people_with_this_profession", "friendly_name": "People With This Profession" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :olympics.olympic_torchbearer\n VALUES ?x1 { :m.09x_r }\n ?x1 :people.profession.people_with_this_profession ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 71000400, "question": "name an entrepreneur olympic torchbearer.", "answer": [ "Will.i.am" ], "function": "none", "commonness": -13.63068675256131, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "olympics.olympic_torchbearer", "class": "olympics.olympic_torchbearer", "friendly_name": "Olympic Torchbearer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.entrepreneur", "class": "people.profession", "friendly_name": "Entrepreneur", "question_node": 0, "function": 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"none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000100, "question": "who made the saturn v?", "answer": [ "Douglas Aircraft Company", "North American Aviation", "Boeing" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "Saturn V", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000101, "question": "who made the saturn 5?", "answer": [ "Boeing", "North American Aviation", "Douglas Aircraft Company" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000200, "question": "what company made the saturn v?", "answer": [ "Douglas Aircraft Company", "Boeing", "North American Aviation" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "Saturn V", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000201, "question": "what company made the saturn 5?", "answer": [ "Douglas Aircraft Company", "North American Aviation", "Boeing" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000300, "question": "the saturn v rocket was built by who?", "answer": [ "North American Aviation", "Douglas Aircraft Company", "Boeing" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "Saturn V", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000301, "question": "the saturn 5 rocket was built by who?", "answer": [ "Douglas Aircraft Company", "North American Aviation", "Boeing" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000400, "question": "who is credited with constructing the saturn v rocket?", "answer": [ "North American Aviation", "Boeing", "Douglas Aircraft Company" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "Saturn V", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 72000401, "question": "who is credited with constructing the saturn 5 rocket?", "answer": [ "Douglas Aircraft Company", "North American Aviation", "Boeing" ], "function": "none", "commonness": -15.279118137692226, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000000, "question": "haunted mansion has which theme?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000001, "question": "mansion has which theme?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000002, "question": "haunted manison has which theme?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "haunted manison", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000100, "question": "what is the theme of haunted mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000101, "question": "what is the theme of mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000102, "question": "what is the theme of haunted manison?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "haunted manison", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000200, "question": "what type of amusement ride is haunted mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000201, "question": "what type of amusement ride is mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000202, "question": "what type of amusement ride is haunted manison?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "haunted manison", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000300, "question": "what kind of theme does the amusement ride haunted mansion use?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000301, "question": "what kind of theme does the amusement ride mansion use?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000302, "question": "what kind of theme does the amusement ride haunted manison use?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "haunted manison", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000400, "question": "what is the subject in the design of haunted mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000401, "question": "what is the subject in the design of mansion?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000402, "question": "what is the subject in the design of haunted manison?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "haunted manison", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000500, "question": "what motif does disneyland's haunted mansion feature?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "Haunted Mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :amusement_parks.ride_theme\n VALUES ?x1 { :m.01p79p }\n ?x0 :amusement_parks.ride_theme.rides ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 73000501, "question": "what motif does disneyland's mansion feature?", "answer": [ "Haunted house" ], "function": "none", "commonness": -14.63675919580269, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride_theme", "class": "amusement_parks.ride_theme", "friendly_name": "Amusement Ride Theme", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.haunted_mansion", "class": "amusement_parks.ride", "friendly_name": "mansion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride_theme.rides", "friendly_name": "Rides" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type 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"astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 77000001, "question": "ub313 is in which discovery status?", "answer": [ "Published" ], "function": "none", "commonness": -22.408345197865902, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery_status", "class": "astronomy.astronomical_discovery_status", "friendly_name": "Astronomical Discovery Status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.eris", "class": "astronomy.astronomical_discovery", "friendly_name": "ub313", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 77000002, "question": "2003ub313 is in which discovery status?", "answer": [ "Published" ], "function": "none", "commonness": -22.408345197865902, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery_status", "class": "astronomy.astronomical_discovery_status", "friendly_name": "Astronomical Discovery Status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.eris", "class": "astronomy.astronomical_discovery", "friendly_name": "2003ub313", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 77000100, "question": "what is the current discovery status of eris?", "answer": [ "Published" ], "function": "none", "commonness": -22.408345197865902, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery_status", "class": "astronomy.astronomical_discovery_status", "friendly_name": "Astronomical Discovery Status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.eris", "class": "astronomy.astronomical_discovery", "friendly_name": "Eris", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 77000101, "question": "what is the current discovery status of ub313?", "answer": [ "Published" ], "function": "none", "commonness": -22.408345197865902, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery_status", "class": "astronomy.astronomical_discovery_status", "friendly_name": "Astronomical Discovery Status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.eris", "class": "astronomy.astronomical_discovery", "friendly_name": "ub313", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 77000102, "question": "what is the current discovery status of 2003ub313?", "answer": [ "Published" ], "function": "none", "commonness": -22.408345197865902, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery_status", "class": "astronomy.astronomical_discovery_status", "friendly_name": "Astronomical Discovery Status", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.eris", "class": "astronomy.astronomical_discovery", "friendly_name": "2003ub313", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.astronomical_discovery.status", "friendly_name": "Status" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.astronomical_discovery_status\n VALUES ?x1 { :m.0gb731 }\n ?x1 :astronomy.astronomical_discovery.status ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000000, "question": "what models does chevrolet produce?", "answer": [ "Chevrolet Corvair 900 Monza", "Chevrolet Agile", "Chevrolet Lakewood", "Chevrolet Parkwood", "Chevrolet Beretta", "Chevrolet SS", "Chevrolet Firenza CanAm", "Chevrolet Camaro", "Chevrolet Fleetline", "Chevrolet Aveo", "Holden Caprice", "Chevrolet Kodiak", "Cerv 1", "Chevrolet Celebrity", "Chevrolet Trailblazer", "Chevrolet Beauville", "Chevrolet Corsica", "Chevrolet Nomad", "Chevrolet Colorado", "Chevrolet Impala", "Corvette Mako Shark", "Chevrolet Constantia", "Chevrolet Bison", "Chevrolet Corvair", "Chevrolet Cobalt SS", "Chevrolet Yeoman", "Chevrolet Greenbrier", "Chevrolet Suburban", "Chevrolet Volt", "Chevrolet Lumina", "Geo Metro", "Chevrolet Astro", "Chevrolet SS", "Chevrolet Venture", "Chevrolet Apache", "Chevrolet Bruin", "Chevrolet Celta", "Chevrolet C/K", "Chevrolet Cosworth Vega", "Chevrolet S-10", "Geo Sprint", "Chevrolet Advance Design", "Chevrolet Cruze", "Chevrolet 400", "Chevrolet Lumina", "Chevrolet Cavalier", "Maruti Versa", "Chevrolet Cobalt", "Corvair Monza GT", "Chevrolet Aerovette", "Chevrolet Lumina Z34", "Chevrolet Orlando", "Chevrolet Kingswood", "Chevrolet Corvette Convertible", "Chevrolet Omega", "Chevrolet Townsman", "Chevrolet Sequel", "Chevrolet Chevy II / Nova", "Chevy Spark EV", "Chevrolet Bel Air", "Chevrolet Chevelle SS 454", "Chevrolet Chevelle Laguna", "Chevrolet Styleline", "Chevrolet Traverse", "Yenko Camaro", "Chevrolet Silverado", "Maruti Esteem", "Chevrolet Monte Carlo", "Chevrolet Nova SS", "Geo Spectrum", "Chevrolet Titan", "Chevrolet Chevelle COPO 427", "Opel Vectra", "Chevrolet Tavera", "Chevrolet Equinox", "Chevrolet Tahoe", "Chevrolet Delray", "Chevrolet 150", "Chevrolet Biscayne", "Chevrolet Aveo", "Chevrolet Task Force", "Chevrolet 210", "Chevrolet El Camino", "Chevrolet Express", "Chevrolet Kadett", "Chevrolet Captiva", "1957 Chevrolet", "Geo Prizm", "Chevrolet Marajó", "General Motors Sequel", "Chevrolet S-10 Blazer", "Chevrolet Corvette C6 ZR1", "Corvette Stingray", "Chevrolet HHR", "Chevrolet Vega", "Chevrolet SSR", "Chevrolet Corvette", "Chevrolet Chevette", "Chevrolet Sonic", "Chevrolet LUV", "Chevrolet Caprice LS", "Chevrolet Avalanche", "Chevrolet Citation", "Chevrolet S-10 EV", "Chevrolet Impala SS", "Chevrolet Sprint", "Chevrolet Corvair 500", "Chevrolet Vectra", "Chevrolet K5 Blazer", "Chevrolet Monza", "Chevrolet Spark", "Chevrolet Opala", "Chevrolet Chevelle", "Chevrolet Uplander", "Chevrolet Malibu", "Chevrolet Montana", "Chevrolet Impala", "Chevrolet Superior", "Chevrolet Caprice", "Saturn Astra", "Chevrolet Lumina APV", "Chevrolet Tracker" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "Chevrolet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000001, "question": "what models does chevy produce?", "answer": [ "Chevrolet Nova SS", "Chevrolet Celebrity", "Chevrolet Sequel", "Chevrolet Chevette", "Yenko Camaro", "Chevrolet Trailblazer", "Chevrolet Constantia", "Chevrolet Silverado", "Chevrolet Vectra", "Chevrolet 210", "Chevrolet C/K", "Chevrolet Citation", "Chevrolet Corvair 900 Monza", "Chevrolet Kadett", "Chevrolet Fleetline", "Chevrolet Bison", "Chevrolet Biscayne", "Chevrolet Cobalt", "Chevrolet Opala", "Chevrolet Captiva", "Chevrolet Chevelle COPO 427", "Cerv 1", "Chevrolet Malibu", "Chevrolet Aerovette", "Chevrolet Lumina Z34", "Chevrolet Firenza CanAm", "Chevrolet Kodiak", "Geo Prizm", "Chevrolet Equinox", "Corvette Mako Shark", "Chevrolet Delray", "Chevrolet Caprice LS", "Chevrolet Task Force", "Chevrolet Lakewood", "Chevrolet Styleline", "Chevrolet SS", "Geo Sprint", "Chevrolet Tahoe", "Chevrolet Impala", "Chevrolet Apache", "Holden Caprice", "Chevrolet Lumina", "Opel Vectra", "1957 Chevrolet", "Chevrolet Parkwood", "Chevrolet Suburban", "Chevrolet Lumina", "Chevrolet Cobalt SS", "Corvette Stingray", "Chevrolet S-10 Blazer", "Chevrolet Marajó", "Chevrolet Lumina APV", "Chevrolet Volt", "Chevrolet Aveo", "Chevrolet Avalanche", "Chevrolet Corvette C6 ZR1", "Chevrolet Caprice", "Chevrolet Vega", "General Motors Sequel", "Chevrolet Colorado", "Chevrolet Celta", "Chevrolet Superior", "Chevrolet Beretta", "Chevrolet Impala SS", "Chevrolet Venture", "Chevrolet Chevelle Laguna", "Chevrolet Chevelle SS 454", "Chevrolet Advance Design", "Chevrolet 150", "Maruti Versa", "Chevrolet Corsica", "Chevrolet Corvette Convertible", "Chevrolet Chevelle", "Chevrolet Astro", "Chevy Spark EV", "Chevrolet Camaro", "Chevrolet SS", "Chevrolet K5 Blazer", "Chevrolet Omega", "Corvair Monza GT", "Chevrolet Beauville", "Chevrolet LUV", "Chevrolet Sprint", "Chevrolet Nomad", "Chevrolet 400", "Chevrolet Monte Carlo", "Chevrolet Uplander", "Geo Spectrum", "Chevrolet Montana", "Chevrolet Corvair 500", "Chevrolet Sonic", "Chevrolet Cosworth Vega", "Chevrolet Orlando", "Chevrolet Express", "Chevrolet HHR", "Chevrolet Cavalier", "Maruti Esteem", "Chevrolet Corvair", "Chevrolet Yeoman", "Geo Metro", "Saturn Astra", "Chevrolet Titan", "Chevrolet Chevy II / Nova", "Chevrolet Agile", "Chevrolet Corvette", "Chevrolet El Camino", "Chevrolet Townsman", "Chevrolet Monza", "Chevrolet Kingswood", "Chevrolet S-10 EV", "Chevrolet Aveo", "Chevrolet Cruze", "Chevrolet Impala", "Chevrolet Bel Air", "Chevrolet Tavera", "Chevrolet Tracker", "Chevrolet Traverse", "Chevrolet Greenbrier", "Chevrolet Spark", "Chevrolet Bruin", "Chevrolet SSR", "Chevrolet S-10" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevy", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000002, "question": "what models does chevrolets produce?", "answer": [ "Chevrolet Chevy II / Nova", "Chevrolet Apache", "Chevrolet Yeoman", "Chevrolet Tavera", "Chevrolet Chevelle SS 454", "Chevrolet Equinox", "Chevrolet Chevette", "Chevrolet Task Force", "Chevrolet Tracker", "Chevrolet Citation", "Chevrolet Cruze", "Chevrolet Corvair", "Chevrolet Suburban", "Chevrolet Astro", "Chevrolet Uplander", "Chevrolet 400", "Chevrolet Impala SS", "Chevrolet Montana", "Chevrolet Lumina", "Chevrolet Beauville", "Holden Caprice", "Chevrolet Styleline", "Chevrolet Avalanche", "Chevrolet Greenbrier", "Chevrolet Kodiak", "Maruti Versa", "Chevrolet Corsica", "Chevrolet Venture", "Chevrolet Orlando", "Chevrolet Impala", "Chevrolet Nomad", "Chevrolet S-10", "Chevrolet Monza", "Chevrolet Lumina", "Chevrolet Trailblazer", "Chevrolet Express", "Chevrolet Firenza CanAm", "Chevrolet Constantia", "Chevrolet Aveo", "Geo Prizm", "Chevrolet Lumina Z34", "Chevrolet Townsman", "Chevrolet Advance Design", "Chevrolet Malibu", "Chevrolet Vectra", "Chevrolet Parkwood", "Chevrolet Lakewood", "Chevrolet 150", "Chevrolet Vega", "Chevrolet Caprice LS", "Corvette Mako Shark", "Chevrolet Spark", "Chevrolet Opala", "Opel Vectra", "Chevrolet Impala", "Chevrolet Kadett", "Chevrolet Sonic", "Geo Metro", "Chevrolet Silverado", "Chevy Spark EV", "Yenko Camaro", "Chevrolet Monte Carlo", "Chevrolet Chevelle", "Chevrolet Caprice", "Chevrolet Corvair 900 Monza", "Chevrolet Captiva", "Chevrolet K5 Blazer", "Corvette Stingray", "Chevrolet Traverse", "Chevrolet S-10 EV", "Chevrolet Sequel", "Chevrolet S-10 Blazer", "General Motors Sequel", "Chevrolet Superior", "Chevrolet Cobalt", "Chevrolet Omega", "Chevrolet SSR", "Chevrolet Corvette", "Chevrolet Aveo", "Saturn Astra", "Chevrolet Nova SS", "Chevrolet El Camino", "1957 Chevrolet", "Chevrolet Colorado", "Chevrolet Corvair 500", "Chevrolet Chevelle Laguna", "Chevrolet Lumina APV", "Chevrolet Cavalier", "Maruti Esteem", "Chevrolet Corvette C6 ZR1", "Chevrolet Bel Air", "Chevrolet Beretta", "Chevrolet Marajó", "Chevrolet 210", "Chevrolet C/K", "Chevrolet Titan", "Chevrolet Corvette Convertible", "Chevrolet Volt", "Chevrolet Delray", "Corvair Monza GT", "Chevrolet Fleetline", "Chevrolet Kingswood", "Geo Spectrum", "Chevrolet Camaro", "Chevrolet Cosworth Vega", "Chevrolet HHR", "Chevrolet Biscayne", "Chevrolet SS", "Chevrolet Aerovette", "Chevrolet Celta", "Cerv 1", "Geo Sprint", "Chevrolet Celebrity", "Chevrolet Sprint", "Chevrolet Cobalt SS", "Chevrolet Tahoe", "Chevrolet Bruin", "Chevrolet Agile", "Chevrolet LUV", "Chevrolet Chevelle COPO 427", "Chevrolet Bison", "Chevrolet SS" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevrolets", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000100, "question": "list chevrolet models.", "answer": [ "Chevrolet S-10 Blazer", "Chevrolet Avalanche", "Chevrolet Fleetline", "Chevrolet Volt", "Chevrolet Astro", "Chevrolet Kadett", "Chevrolet Titan", "1957 Chevrolet", "Chevrolet SS", "Chevrolet Trailblazer", "Chevrolet Kingswood", "Chevrolet Sequel", "Chevrolet Corvette", "Chevrolet Cobalt", "Chevrolet Aerovette", "Chevrolet Constantia", "Chevrolet Bel Air", "Maruti Esteem", "Chevrolet Spark", "Chevrolet K5 Blazer", "Chevrolet Aveo", "Chevrolet Apache", "Chevrolet Omega", "Chevrolet 400", "Chevrolet Cruze", "Chevrolet Tahoe", "Cerv 1", "Corvair Monza GT", "Chevrolet Sonic", "Chevrolet Express", "General Motors Sequel", "Chevrolet Bison", "Chevrolet El Camino", "Chevrolet Cosworth Vega", "Chevrolet Monte Carlo", "Chevrolet Malibu", "Chevrolet S-10", "Chevrolet Celebrity", "Chevrolet Beretta", "Chevrolet Parkwood", "Chevrolet Task Force", "Chevrolet 210", "Chevrolet Monza", "Chevrolet Impala", "Chevrolet HHR", "Chevrolet Advance Design", "Chevrolet Cobalt SS", "Chevrolet Celta", "Chevrolet Equinox", "Chevrolet Corvette C6 ZR1", "Chevrolet Kodiak", "Chevrolet Venture", "Chevrolet Vectra", "Saturn Astra", "Chevrolet Corvair", "Chevrolet Camaro", "Maruti Versa", "Chevrolet Marajó", "Chevrolet Superior", "Chevrolet Chevy II / Nova", "Chevrolet Captiva", "Chevrolet Impala", "Chevrolet Townsman", "Chevrolet C/K", "Chevrolet Corvair 900 Monza", "Chevrolet Corsica", "Geo Metro", "Chevrolet Impala SS", "Chevrolet Yeoman", "Chevrolet Bruin", "Chevrolet Opala", "Chevrolet Traverse", "Chevrolet Greenbrier", "Chevrolet Styleline", "Chevrolet Orlando", "Chevrolet Colorado", "Chevrolet Corvair 500", "Yenko Camaro", "Chevrolet Aveo", "Chevrolet Chevelle Laguna", "Chevrolet Silverado", "Chevrolet Uplander", "Chevrolet Chevelle", "Chevrolet LUV", "Chevrolet Agile", "Chevrolet Nomad", "Chevrolet Nova SS", "Chevrolet Lumina Z34", "Chevrolet Caprice", "Chevrolet Chevelle SS 454", "Chevrolet 150", "Chevrolet Chevette", "Chevrolet Lumina APV", "Chevrolet Cavalier", "Geo Prizm", "Chevrolet Corvette Convertible", "Chevrolet Firenza CanAm", "Chevrolet Lumina", "Chevrolet Lakewood", "Opel Vectra", "Chevrolet Suburban", "Chevrolet Lumina", "Chevrolet Citation", "Chevrolet Delray", "Chevrolet Tracker", "Chevrolet Biscayne", "Chevrolet Tavera", "Chevrolet Caprice LS", "Chevrolet SS", "Chevrolet SSR", "Chevrolet Montana", "Chevrolet Sprint", "Geo Sprint", "Chevy Spark EV", "Corvette Mako Shark", "Holden Caprice", "Corvette Stingray", "Chevrolet Beauville", "Geo Spectrum", "Chevrolet Chevelle COPO 427", "Chevrolet S-10 EV", "Chevrolet Vega" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "Chevrolet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000101, "question": "list chevy models.", "answer": [ "Chevrolet Marajó", "Chevrolet Equinox", "Saturn Astra", "Chevrolet Citation", "Chevrolet 210", "Chevrolet Beretta", "Holden Caprice", "Chevrolet S-10 EV", "Chevrolet Cosworth Vega", "Chevrolet Orlando", "Chevrolet Townsman", "Chevrolet Titan", "Chevrolet Biscayne", "Chevrolet Caprice", "Chevrolet Chevette", "Chevrolet Delray", "Chevrolet K5 Blazer", "Maruti Esteem", "Chevrolet Spark", "Chevrolet Express", "Geo Prizm", "Chevrolet Chevelle COPO 427", "Chevrolet Sonic", "1957 Chevrolet", "Chevrolet S-10", "Chevrolet Lumina", "Chevrolet Captiva", "Chevrolet Greenbrier", "Chevrolet Corsica", "Chevrolet Malibu", "Chevrolet 150", "Chevrolet Cavalier", "Chevrolet Kodiak", "Chevrolet Cobalt", "Corvair Monza GT", "Geo Sprint", "Yenko Camaro", "Chevrolet Vectra", "Chevrolet Celta", "Chevrolet Monza", "Chevrolet Aveo", "Chevrolet Uplander", "Chevrolet Task Force", "Chevrolet Camaro", "Chevrolet Constantia", "Geo Spectrum", "Chevrolet Monte Carlo", "Chevrolet HHR", "Chevrolet C/K", "Chevrolet Fleetline", "Chevrolet Kingswood", "Chevrolet Corvette Convertible", "Chevrolet Bel Air", "Chevrolet Bison", "Chevrolet Celebrity", "Chevrolet Colorado", "Chevrolet Impala", "Chevrolet Tahoe", "Chevrolet Corvair 500", "Chevrolet Corvair", "Chevrolet Sequel", "Chevrolet SS", "Chevrolet Yeoman", "Chevrolet Aerovette", "Chevrolet LUV", "Chevrolet SS", "Chevrolet El Camino", "Chevrolet Vega", "Chevy Spark EV", "Chevrolet Lumina APV", "Chevrolet Montana", "Chevrolet Agile", "Chevrolet Silverado", "Chevrolet Corvette", "Chevrolet Nova SS", "Chevrolet Suburban", "Chevrolet Parkwood", "Chevrolet Lumina", "Chevrolet Tracker", "Chevrolet Kadett", "Opel Vectra", "Chevrolet Trailblazer", "Chevrolet Beauville", "Chevrolet Impala", "Maruti Versa", "Corvette Mako Shark", "Chevrolet Sprint", "Chevrolet Chevelle SS 454", "Chevrolet Astro", "Chevrolet Opala", "Chevrolet 400", "Chevrolet Omega", "Chevrolet Cruze", "Chevrolet Apache", "Chevrolet Aveo", "Chevrolet Volt", "Chevrolet Advance Design", "Chevrolet Styleline", "Chevrolet Corvair 900 Monza", "Chevrolet Chevy II / Nova", "Chevrolet Bruin", "Chevrolet Venture", "Corvette Stingray", "Cerv 1", "Chevrolet Firenza CanAm", "Chevrolet Superior", "Chevrolet Impala SS", "Chevrolet Chevelle", "Chevrolet Caprice LS", "Chevrolet Chevelle Laguna", "Chevrolet Avalanche", "Chevrolet Lumina Z34", "General Motors Sequel", "Chevrolet Traverse", "Chevrolet Cobalt SS", "Chevrolet Corvette C6 ZR1", "Chevrolet Nomad", "Chevrolet Tavera", "Geo Metro", "Chevrolet Lakewood", "Chevrolet SSR", "Chevrolet S-10 Blazer" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevy", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000102, "question": "list chevrolets models.", "answer": [ "Chevrolet Fleetline", "Chevrolet Yeoman", "Chevrolet Corvair", "Chevrolet Equinox", "Chevrolet Lumina APV", "Chevrolet Celta", "Chevrolet SS", "Chevrolet Task Force", "Chevrolet Vega", "Chevrolet Spark", "Chevrolet Captiva", "General Motors Sequel", "Chevrolet S-10 EV", "Chevrolet Cavalier", "Yenko Camaro", "Chevrolet Biscayne", "Chevrolet Beauville", "Chevrolet Agile", "Chevrolet Sprint", "Chevrolet Bruin", "Chevrolet Bison", "Chevrolet C/K", "Chevrolet Corvair 500", "Chevrolet Caprice", "Chevrolet Townsman", "Geo Sprint", "Chevrolet Corvette C6 ZR1", "Chevrolet Beretta", "Chevrolet Traverse", "Chevrolet S-10", "Saturn Astra", "Corvette Stingray", "Chevrolet Monte Carlo", "Chevrolet Tavera", "Corvette Mako Shark", "Chevrolet Orlando", "Chevrolet Aveo", "Chevrolet Cobalt", "Chevrolet Chevette", "Chevrolet Chevy II / Nova", "Maruti Esteem", "Chevrolet Colorado", "Chevrolet Caprice LS", "Chevrolet Impala", "Chevrolet Celebrity", "Geo Metro", "Chevrolet Parkwood", "Chevrolet K5 Blazer", "Chevrolet Cosworth Vega", "Chevrolet Styleline", "1957 Chevrolet", "Chevrolet Tahoe", "Chevrolet Trailblazer", "Chevrolet Lumina Z34", "Cerv 1", "Chevrolet Apache", "Chevrolet Volt", "Chevrolet Corsica", "Geo Prizm", "Chevrolet Venture", "Chevrolet Sequel", "Chevrolet Monza", "Chevrolet Cruze", "Chevrolet Aveo", "Maruti Versa", "Chevrolet SSR", "Chevrolet Nomad", "Corvair Monza GT", "Chevrolet Corvair 900 Monza", "Chevrolet Kingswood", "Chevrolet Chevelle", "Chevrolet Chevelle COPO 427", "Chevrolet HHR", "Chevrolet Impala SS", "Chevrolet Kadett", "Chevrolet Vectra", "Chevrolet Corvette", "Chevrolet Chevelle Laguna", "Chevrolet Lakewood", "Chevrolet Sonic", "Chevrolet Kodiak", "Chevrolet Lumina", "Chevrolet Suburban", "Chevrolet Firenza CanAm", "Chevy Spark EV", "Chevrolet 150", "Chevrolet 400", "Chevrolet Malibu", "Chevrolet Greenbrier", "Chevrolet Constantia", "Chevrolet Omega", "Opel Vectra", "Chevrolet Montana", "Chevrolet El Camino", "Chevrolet Marajó", "Chevrolet Chevelle SS 454", "Chevrolet Lumina", "Chevrolet Delray", "Chevrolet Express", "Chevrolet Nova SS", "Chevrolet Silverado", "Chevrolet Bel Air", "Chevrolet Tracker", "Chevrolet Opala", "Chevrolet Avalanche", "Chevrolet Astro", "Chevrolet Camaro", "Holden Caprice", "Chevrolet Advance Design", "Chevrolet LUV", "Chevrolet Citation", "Chevrolet Corvette Convertible", "Chevrolet Superior", "Chevrolet SS", "Chevrolet Impala", "Chevrolet Aerovette", "Chevrolet Titan", "Chevrolet Cobalt SS", "Chevrolet S-10 Blazer", "Geo Spectrum", "Chevrolet Uplander", "Chevrolet 210" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevrolets", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000200, "question": "what models has chevrolet made?", "answer": [ "Chevrolet Citation", "General Motors Sequel", "Chevrolet HHR", "Chevrolet Task Force", "Chevrolet Trailblazer", "Holden Caprice", "Chevrolet Beretta", "Chevrolet Montana", "Chevrolet Nova SS", "Chevrolet Avalanche", "Chevrolet LUV", "Chevrolet Nomad", "Chevrolet Astro", "Chevrolet SSR", "Chevrolet Corsica", "Chevrolet Advance Design", "Geo Metro", "Opel Vectra", "Chevrolet Captiva", "Chevrolet SS", "Geo Spectrum", "Chevrolet Firenza CanAm", "Chevrolet Spark", "1957 Chevrolet", "Chevrolet Sprint", "Chevrolet Colorado", "Chevrolet Caprice", "Chevrolet Marajó", "Chevrolet 400", "Maruti Versa", "Chevrolet S-10 EV", "Chevrolet Monza", "Chevrolet Sequel", "Chevrolet Lakewood", "Chevrolet Titan", "Chevrolet Kingswood", "Geo Sprint", "Chevrolet Bruin", "Chevrolet Lumina", "Chevy Spark EV", "Chevrolet Caprice LS", "Chevrolet Chevelle SS 454", "Chevrolet Bison", "Saturn Astra", "Chevrolet Styleline", "Chevrolet Lumina APV", "Corvair Monza GT", "Chevrolet Equinox", "Chevrolet Corvair 900 Monza", "Chevrolet Sonic", "Chevrolet Celebrity", "Chevrolet Bel Air", "Chevrolet Cobalt", "Chevrolet Impala SS", "Chevrolet 150", "Corvette Mako Shark", "Chevrolet Uplander", "Maruti Esteem", "Chevrolet Express", "Chevrolet Townsman", "Chevrolet C/K", "Chevrolet K5 Blazer", "Chevrolet Tahoe", "Chevrolet Kodiak", "Chevrolet Vega", "Chevrolet Cruze", "Chevrolet Yeoman", "Geo Prizm", "Chevrolet Chevette", "Chevrolet Constantia", "Cerv 1", "Chevrolet Cosworth Vega", "Chevrolet Tracker", "Chevrolet Celta", "Chevrolet Chevy II / Nova", "Chevrolet Parkwood", "Chevrolet Chevelle", "Chevrolet Corvette C6 ZR1", "Chevrolet Kadett", "Chevrolet Aveo", "Chevrolet Tavera", "Chevrolet Impala", "Chevrolet Omega", "Chevrolet Camaro", "Chevrolet Cavalier", "Chevrolet Impala", "Yenko Camaro", "Chevrolet Vectra", "Chevrolet 210", "Chevrolet Venture", "Chevrolet Lumina", "Chevrolet Chevelle Laguna", "Chevrolet Corvair 500", "Chevrolet Corvette", "Chevrolet Superior", "Chevrolet Aveo", "Chevrolet Aerovette", "Chevrolet Corvair", "Chevrolet Cobalt SS", "Chevrolet Monte Carlo", "Chevrolet Silverado", "Chevrolet Biscayne", "Corvette Stingray", "Chevrolet Agile", "Chevrolet Malibu", "Chevrolet Opala", "Chevrolet El Camino", "Chevrolet Suburban", "Chevrolet Fleetline", "Chevrolet Beauville", "Chevrolet Apache", "Chevrolet Greenbrier", "Chevrolet Chevelle COPO 427", "Chevrolet Traverse", "Chevrolet Volt", "Chevrolet Lumina Z34", "Chevrolet Corvette Convertible", "Chevrolet S-10", "Chevrolet S-10 Blazer", "Chevrolet SS", "Chevrolet Orlando", "Chevrolet Delray" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "Chevrolet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000201, "question": "what models has chevy made?", "answer": [ "Chevrolet S-10 EV", "Chevrolet Equinox", "Chevrolet Lumina", "Chevrolet LUV", "Chevy Spark EV", "Chevrolet SS", "Chevrolet Trailblazer", "Chevrolet Caprice", "Maruti Esteem", "Chevrolet Titan", "Chevrolet Impala", "Geo Metro", "Chevrolet Chevy II / Nova", "Chevrolet Uplander", "Chevrolet Chevelle SS 454", "Chevrolet Express", "Chevrolet Corvette", "Chevrolet Camaro", "Chevrolet Parkwood", "Chevrolet Apache", "Saturn Astra", "Chevrolet Traverse", "Chevrolet Chevelle COPO 427", "Chevrolet Bruin", "Chevrolet Corvair 500", "Chevrolet Cobalt", "Chevrolet Agile", "Chevrolet Yeoman", "Chevrolet Impala SS", "Chevrolet Kodiak", "Chevrolet Tavera", "Chevrolet Caprice LS", "Chevrolet Bison", "Chevrolet Greenbrier", "Chevrolet Corsica", "Chevrolet Marajó", "Chevrolet Sprint", "Corvair Monza GT", "Chevrolet Kingswood", "Chevrolet Aveo", "Yenko Camaro", "Chevrolet Sonic", "Chevrolet Monza", "Chevrolet Impala", "1957 Chevrolet", "Chevrolet Styleline", "Cerv 1", "Chevrolet Lumina", "Chevrolet SSR", "Chevrolet Fleetline", "Chevrolet Lumina Z34", "Chevrolet Volt", "Chevrolet Astro", "Chevrolet 210", "Chevrolet C/K", "Chevrolet Colorado", "Chevrolet Task Force", "Chevrolet K5 Blazer", "Corvette Mako Shark", "Chevrolet Montana", "Chevrolet Corvair 900 Monza", "Chevrolet Vega", "Chevrolet Lakewood", "Chevrolet Avalanche", "Chevrolet Nomad", "Chevrolet Constantia", "Chevrolet S-10 Blazer", "Chevrolet Chevelle Laguna", "Chevrolet Corvair", "Chevrolet Citation", "Chevrolet Silverado", "Chevrolet Spark", "Chevrolet Beauville", "Chevrolet Cobalt SS", "Chevrolet Beretta", "Chevrolet S-10", "Chevrolet Tracker", "Opel Vectra", "Chevrolet Aveo", "Chevrolet Captiva", "Chevrolet Sequel", "Chevrolet 150", "Chevrolet Townsman", "Maruti Versa", "Chevrolet Aerovette", "Chevrolet Celebrity", "Chevrolet Omega", "Chevrolet Biscayne", "Geo Spectrum", "Chevrolet SS", "Chevrolet Vectra", "Chevrolet El Camino", "Chevrolet Suburban", "Corvette Stingray", "Chevrolet Venture", "Chevrolet Corvette Convertible", "Chevrolet 400", "Chevrolet Bel Air", "Chevrolet Tahoe", "Chevrolet Chevette", "Geo Sprint", "Chevrolet Malibu", "General Motors Sequel", "Chevrolet Delray", "Holden Caprice", "Geo Prizm", "Chevrolet Advance Design", "Chevrolet Lumina APV", "Chevrolet Nova SS", "Chevrolet Firenza CanAm", "Chevrolet Cavalier", "Chevrolet Monte Carlo", "Chevrolet Corvette C6 ZR1", "Chevrolet Superior", "Chevrolet Cosworth Vega", "Chevrolet Celta", "Chevrolet Opala", "Chevrolet Orlando", "Chevrolet Kadett", "Chevrolet Cruze", "Chevrolet Chevelle", "Chevrolet HHR" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevy", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000202, "question": "what models has chevrolets made?", "answer": [ "Corvette Stingray", "Chevrolet S-10 Blazer", "Chevrolet LUV", "Chevrolet Townsman", "Chevrolet Celta", "Chevrolet Kingswood", "Chevrolet Cobalt SS", "Chevrolet Kodiak", "Chevrolet Aerovette", "Chevrolet Sprint", "Geo Spectrum", "Chevrolet Advance Design", "Chevy Spark EV", "Chevrolet Aveo", "Chevrolet Lumina", "Chevrolet Monza", "Chevrolet SS", "Chevrolet Aveo", "Chevrolet Express", "Chevrolet Sequel", "Chevrolet El Camino", "Corvair Monza GT", "Chevrolet Firenza CanAm", "Chevrolet Tracker", "Chevrolet Impala SS", "Chevrolet Traverse", "Chevrolet Corsica", "Maruti Versa", "Opel Vectra", "Chevrolet Constantia", "Chevrolet 150", "Chevrolet Avalanche", "Chevrolet S-10", "Chevrolet Chevelle", "Chevrolet Camaro", "Chevrolet Corvette", "Chevrolet Bison", "Chevrolet Cosworth Vega", "Chevrolet Lumina Z34", "1957 Chevrolet", "Chevrolet Beretta", "Chevrolet Yeoman", "General Motors Sequel", "Chevrolet Venture", "Chevrolet Caprice", "Chevrolet Bel Air", "Chevrolet Caprice LS", "Chevrolet 210", "Chevrolet Lumina", "Corvette Mako Shark", "Chevrolet S-10 EV", "Chevrolet SS", "Chevrolet Biscayne", "Chevrolet Bruin", "Chevrolet Superior", "Chevrolet Delray", "Chevrolet HHR", "Chevrolet Nova SS", "Chevrolet Vega", "Chevrolet Sonic", "Chevrolet Montana", "Chevrolet Chevette", "Maruti Esteem", "Holden Caprice", "Chevrolet Astro", "Geo Sprint", "Chevrolet Marajó", "Chevrolet Corvair 500", "Chevrolet Volt", "Chevrolet Celebrity", "Chevrolet Kadett", "Chevrolet Greenbrier", "Saturn Astra", "Chevrolet Malibu", "Chevrolet 400", "Chevrolet Captiva", "Chevrolet Equinox", "Chevrolet Parkwood", "Chevrolet Fleetline", "Chevrolet Chevy II / Nova", "Chevrolet Suburban", "Chevrolet Corvair", "Chevrolet Cobalt", "Chevrolet Omega", "Chevrolet Lakewood", "Chevrolet Cavalier", "Cerv 1", "Chevrolet Task Force", "Chevrolet SSR", "Yenko Camaro", "Chevrolet Citation", "Chevrolet Orlando", "Geo Prizm", "Chevrolet Lumina APV", "Chevrolet Trailblazer", "Chevrolet Corvair 900 Monza", "Chevrolet Chevelle Laguna", "Chevrolet Cruze", "Chevrolet C/K", "Chevrolet Impala", "Chevrolet Styleline", "Chevrolet Titan", "Chevrolet Vectra", "Chevrolet Beauville", "Geo Metro", "Chevrolet K5 Blazer", "Chevrolet Chevelle SS 454", "Chevrolet Corvette C6 ZR1", "Chevrolet Impala", "Chevrolet Colorado", "Chevrolet Apache", "Chevrolet Chevelle COPO 427", "Chevrolet Nomad", "Chevrolet Silverado", "Chevrolet Tahoe", "Chevrolet Spark", "Chevrolet Opala", "Chevrolet Monte Carlo", "Chevrolet Tavera", "Chevrolet Uplander", "Chevrolet Corvette Convertible", "Chevrolet Agile" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevrolets", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000300, "question": "what models of chevrolet are out there?", "answer": [ "Chevrolet Colorado", "Chevrolet Omega", "Chevrolet Uplander", "Chevrolet Aveo", "Chevrolet Suburban", "Chevrolet Bruin", "Chevrolet LUV", "Chevrolet Venture", "Chevrolet S-10 EV", "Chevrolet HHR", "Chevrolet 400", "Chevrolet Corvair", "Chevrolet S-10", "Holden Caprice", "Chevrolet 210", "Chevrolet Lumina", "Chevrolet Opala", "Chevrolet Citation", "Chevrolet Vectra", "Chevrolet Marajó", "Chevrolet Styleline", "Chevrolet Monte Carlo", "Chevrolet Trailblazer", "Chevrolet Silverado", "Chevrolet Captiva", "Chevrolet Townsman", "Chevrolet 150", "Chevrolet Corvette", "Chevrolet Caprice", "Chevrolet Apache", "Chevrolet Lakewood", "Geo Metro", "Chevrolet Bel Air", "Geo Sprint", "Chevrolet Corvette Convertible", "Chevrolet Chevelle COPO 427", "Chevrolet El Camino", "Cerv 1", "Chevrolet Cavalier", "Chevrolet Sonic", "Chevrolet Spark", "Chevrolet Caprice LS", "Chevrolet Agile", "Chevrolet S-10 Blazer", "Chevrolet Delray", "Chevrolet Firenza CanAm", "Chevrolet Yeoman", "Chevrolet Lumina Z34", "Chevrolet Lumina APV", "Chevrolet Corvette C6 ZR1", "General Motors Sequel", "Chevrolet Impala", "Chevrolet Tahoe", "Chevrolet Cosworth Vega", "Geo Spectrum", "Chevrolet Nomad", "1957 Chevrolet", "Maruti Versa", "Chevrolet Chevy II / Nova", "Chevrolet Cobalt SS", "Chevrolet Lumina", "Chevrolet Sequel", "Chevrolet Corvair 500", "Chevrolet Equinox", "Chevrolet Aveo", "Chevrolet Camaro", "Corvette Mako Shark", "Chevrolet Vega", "Chevrolet Montana", "Chevrolet SS", "Chevrolet Corvair 900 Monza", "Chevrolet Impala", "Chevrolet Chevelle", "Chevrolet C/K", "Chevrolet Beauville", "Chevrolet Advance Design", "Chevrolet Tavera", "Chevrolet Sprint", "Chevrolet Bison", "Chevrolet Greenbrier", "Chevrolet Avalanche", "Chevrolet Chevelle Laguna", "Chevrolet Corsica", "Chevrolet Impala SS", "Chevrolet Parkwood", "Chevrolet Task Force", "Chevrolet Kadett", "Maruti Esteem", "Saturn Astra", "Chevrolet Fleetline", "Chevrolet Celebrity", "Chevrolet SSR", "Chevrolet K5 Blazer", "Chevrolet Tracker", "Chevrolet Volt", "Chevrolet Celta", "Chevrolet Beretta", "Chevrolet Nova SS", "Yenko Camaro", "Chevrolet Monza", "Chevrolet Titan", "Chevrolet Superior", "Corvair Monza GT", "Opel Vectra", "Chevrolet Constantia", "Chevrolet Kingswood", "Chevrolet Express", "Chevrolet Chevelle SS 454", "Chevrolet Cobalt", "Chevrolet Kodiak", "Chevrolet Traverse", "Chevrolet Chevette", "Chevrolet Astro", "Chevrolet Biscayne", "Chevrolet Cruze", "Corvette Stingray", "Chevrolet Aerovette", "Chevy Spark EV", "Geo Prizm", "Chevrolet SS", "Chevrolet Malibu", "Chevrolet Orlando" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "Chevrolet", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000301, "question": "what models of chevy are out there?", "answer": [ "Chevrolet Cosworth Vega", "Chevrolet 150", "Chevrolet Captiva", "Chevrolet Beretta", "Chevrolet Impala", "Chevrolet S-10 Blazer", "Chevrolet Malibu", "Chevrolet Monza", "Chevrolet Colorado", "Corvette Mako Shark", "Chevrolet Tracker", "Chevrolet Apache", "Chevrolet Spark", "Chevrolet Uplander", "Geo Spectrum", "Chevrolet Citation", "Chevrolet Corvair 900 Monza", "Chevrolet Townsman", "Maruti Versa", "Chevrolet Impala SS", "Chevrolet Avalanche", "Chevrolet SSR", "Chevrolet Lumina APV", "Chevrolet Corvette", "Chevrolet Volt", "Chevrolet Trailblazer", "Chevrolet Nova SS", "Chevrolet Cruze", "Chevrolet 400", "Chevrolet Opala", "Chevrolet HHR", "Chevrolet Nomad", "Chevrolet Silverado", "Chevrolet Yeoman", "Chevrolet Impala", "General Motors Sequel", "Chevrolet Superior", "Chevrolet Beauville", "Chevrolet Suburban", "Yenko Camaro", "Chevrolet Bel Air", "Chevrolet Chevelle COPO 427", "Chevrolet Express", "Chevrolet El Camino", "Chevrolet Omega", "Geo Prizm", "Holden Caprice", "Corvair Monza GT", "Chevrolet Kadett", "Chevrolet Sequel", "Chevrolet Kingswood", "Chevrolet Agile", "Chevrolet Lumina", "Chevrolet Bruin", "Chevrolet Chevelle", "Chevrolet Caprice", "Geo Sprint", "Chevrolet 210", "Chevrolet Orlando", "Chevrolet Titan", "Chevrolet Monte Carlo", "Chevrolet Firenza CanAm", "Chevrolet Kodiak", "Chevrolet Tavera", "Chevrolet Parkwood", "Chevrolet Corvette C6 ZR1", "Chevrolet Celebrity", "Maruti Esteem", "Geo Metro", "Chevrolet Venture", "Chevrolet Lumina", "Chevrolet LUV", "Chevrolet Aveo", "Chevrolet Corvair", "Chevrolet Delray", "Chevrolet Vectra", "Chevrolet Sprint", "Chevrolet Cobalt SS", "Chevrolet Corsica", "Chevrolet Cobalt", "Chevrolet Fleetline", "Chevrolet Aerovette", "Chevrolet K5 Blazer", "Chevrolet Constantia", "Chevrolet Chevelle SS 454", "Chevrolet Task Force", "Chevrolet C/K", "Chevrolet Biscayne", "Chevrolet Marajó", "Chevrolet Corvair 500", "Chevy Spark EV", "Opel Vectra", "Cerv 1", "Chevrolet Caprice LS", "Chevrolet S-10", "Chevrolet Camaro", "Chevrolet Aveo", "Chevrolet Montana", "Chevrolet Sonic", "Chevrolet Greenbrier", "Chevrolet SS", "Saturn Astra", "Corvette Stingray", "Chevrolet Equinox", "Chevrolet Vega", "Chevrolet Chevy II / Nova", "Chevrolet Bison", "Chevrolet Corvette Convertible", "Chevrolet Celta", "Chevrolet Chevelle Laguna", "1957 Chevrolet", "Chevrolet SS", "Chevrolet Advance Design", "Chevrolet Cavalier", "Chevrolet Styleline", "Chevrolet Tahoe", "Chevrolet Traverse", "Chevrolet Lakewood", "Chevrolet S-10 EV", "Chevrolet Chevette", "Chevrolet Lumina Z34", "Chevrolet Astro" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevy", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES ?x1 { :m.09xzd }\n ?x1 :automotive.make.model_s ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 78000302, "question": "what models of chevrolets are out there?", "answer": [ "Chevrolet Suburban", "Corvette Mako Shark", "Chevrolet Impala", "Chevrolet Lakewood", "Chevrolet Chevelle", "Chevrolet SS", "Chevrolet Bison", "Chevrolet Sequel", "Chevrolet Corvair", "Chevrolet Celta", "Chevrolet Lumina", "Geo Spectrum", "Chevrolet Caprice LS", "Chevrolet Avalanche", "Chevrolet Parkwood", "Chevrolet Marajó", "Chevrolet Camaro", "Chevrolet Chevy II / Nova", "Chevrolet Bruin", "Chevrolet Yeoman", "Chevrolet Chevelle SS 454", "Chevrolet Equinox", "Chevrolet K5 Blazer", "Chevrolet HHR", "Chevrolet Volt", "Yenko Camaro", "Chevrolet Captiva", "Chevrolet Corvair 900 Monza", "Geo Prizm", "Chevrolet Sonic", "Chevrolet Impala SS", "Chevrolet Corvair 500", "Chevrolet Silverado", "Chevrolet Constantia", "Chevrolet Kodiak", "Chevrolet Kadett", "Chevrolet SS", "Chevrolet Astro", "Chevrolet Malibu", "Chevrolet Agile", "Chevrolet Corvette", "Chevrolet Firenza CanAm", "Chevrolet Cavalier", "Chevrolet Corvette Convertible", "Chevrolet Lumina Z34", "Chevrolet Nomad", "Corvair Monza GT", "Chevrolet Townsman", "Chevrolet Cobalt", "Chevrolet Traverse", "Chevrolet Aerovette", "Chevrolet Task Force", "Chevrolet Cosworth Vega", "Chevrolet Lumina APV", "Chevrolet Omega", "Chevrolet S-10 Blazer", "Geo Metro", "Chevrolet LUV", "Chevrolet Chevette", "Chevrolet Impala", 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"Chevrolet Venture", "Chevrolet Sprint", "Chevrolet Tahoe", "Chevrolet SSR", "Chevrolet Fleetline", "Chevrolet Delray", "Chevrolet Titan", "Chevrolet S-10 EV", "Chevrolet C/K", "Chevrolet Greenbrier", "Chevrolet Chevelle COPO 427", "Chevrolet Styleline", "Chevrolet Opala" ], "function": "none", "commonness": -11.69797241596795, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model", "class": "automotive.model", "friendly_name": "Automobile Model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.chevrolet", "class": "automotive.make", "friendly_name": "chevrolets", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.make.model_s", "friendly_name": "Model(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model\n VALUES 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AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.film_festival\n VALUES ?x1 { :m.05qhw }\n ?x1 :film.film_festival_focus.festivals_with_this_focus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 79000101, "question": "locate worldwide film festivals dedicated to films focused on republic of poland.", "answer": [ "Polish Film Festival in America" ], "function": "none", "commonness": -14.122065316655178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_festival", "class": "film.film_festival", "friendly_name": "Film festival", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.poland", "class": "film.film_festival_focus", "friendly_name": "republic of poland", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film_festival_focus.festivals_with_this_focus", "friendly_name": "Festivals with this focus" } ] }, 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"friendly_name": "Festivals with this focus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.film_festival\n VALUES ?x1 { :m.05qhw }\n ?x1 :film.film_festival_focus.festivals_with_this_focus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 79000200, "question": "which film festivals are focused on poland?", "answer": [ "Polish Film Festival in America" ], "function": "none", "commonness": -14.122065316655178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_festival", "class": "film.film_festival", "friendly_name": "Film festival", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.poland", "class": "film.film_festival_focus", "friendly_name": "Poland", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.film_festival_focus.festivals_with_this_focus", "friendly_name": "Festivals with this focus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :film.film_festival\n VALUES ?x1 { :m.05qhw }\n ?x1 :film.film_festival_focus.festivals_with_this_focus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 79000201, "question": "which film festivals are focused on republic of poland?", "answer": [ "Polish Film Festival in America" ], "function": "none", "commonness": -14.122065316655178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_festival", "class": "film.film_festival", "friendly_name": "Film festival", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.poland", "class": "film.film_festival_focus", "friendly_name": "republic of poland", "question_node": 0, "function": "none" } ], 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Wade", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.legal_case.court", "friendly_name": "Court" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.court\n VALUES ?x1 { :m.0hx5v }\n ?x1 :law.legal_case.court ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 80000001, "question": "where was the trial place of the case roe vs. wade?", "answer": [ "Supreme Court of the United States" ], "function": "none", "commonness": -12.82904050195403, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.court", "class": "law.court", "friendly_name": "Court", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.roe_v_wade", "class": "law.legal_case", "friendly_name": "roe vs. wade", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.legal_case.court", "friendly_name": "Court" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.court\n VALUES ?x1 { :m.0hx5v }\n ?x1 :law.legal_case.court ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 80000002, "question": "where was the trial place of the case roe v wade?", "answer": [ "Supreme Court of the United States" ], "function": "none", "commonness": -12.82904050195403, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.court", "class": "law.court", "friendly_name": "Court", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.roe_v_wade", "class": "law.legal_case", "friendly_name": "roe v wade", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "law.legal_case.court", "friendly_name": "Court" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.court\n VALUES ?x1 { :m.0hx5v }\n ?x1 :law.legal_case.court ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 80000100, "question": "which court was the setting for the roe v. wade case?", "answer": [ "Supreme Court of the United States" ], "function": "none", "commonness": -12.82904050195403, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "law.court", "class": "law.court", "friendly_name": "Court", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.roe_v_wade", "class": "law.legal_case", "friendly_name": "Roe v. 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rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :law.court\n VALUES ?x1 { :m.0hx5v }\n ?x1 :law.legal_case.court ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 81000000, "question": "the exit glacier ends its flow into what type of terrain?", "answer": [ "River", "Moraine" ], "function": "none", "commonness": -19.63884055832049, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.glacier_terminus", "class": "geography.glacier_terminus", "friendly_name": "Glacier terminus", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.exit_glacier", "class": "geography.glacier", "friendly_name": "Exit Glacier", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "geography.glacier.terminus", "friendly_name": "Terminus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :geography.glacier_terminus\n VALUES ?x1 { :m.0gjzbq }\n ?x1 :geography.glacier.terminus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 81000100, "question": "what type of landform is found at the foot of exit glacier?", "answer": [ "Moraine", "River" ], "function": "none", "commonness": -19.63884055832049, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.glacier_terminus", "class": "geography.glacier_terminus", "friendly_name": "Glacier terminus", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.exit_glacier", "class": "geography.glacier", "friendly_name": "Exit Glacier", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "geography.glacier.terminus", "friendly_name": "Terminus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :geography.glacier_terminus\n VALUES ?x1 { :m.0gjzbq }\n ?x1 :geography.glacier.terminus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 81000200, "question": "the exit glacier flows into what type of terrain?", "answer": [ "Moraine", "River" ], "function": "none", "commonness": -19.63884055832049, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.glacier_terminus", "class": "geography.glacier_terminus", "friendly_name": "Glacier terminus", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.exit_glacier", "class": "geography.glacier", "friendly_name": "Exit Glacier", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "geography.glacier.terminus", "friendly_name": "Terminus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :geography.glacier_terminus\n VALUES ?x1 { :m.0gjzbq }\n ?x1 :geography.glacier.terminus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 81000300, "question": "what does the exit glacier terminate in?", "answer": [ "River", "Moraine" ], "function": "none", "commonness": -19.63884055832049, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.glacier_terminus", "class": "geography.glacier_terminus", "friendly_name": "Glacier terminus", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.exit_glacier", "class": "geography.glacier", "friendly_name": "Exit Glacier", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "geography.glacier.terminus", "friendly_name": "Terminus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :geography.glacier_terminus\n VALUES ?x1 { :m.0gjzbq }\n ?x1 :geography.glacier.terminus ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 81000400, "question": "what type of terrain does the exit glacier terminate in or flow into?", "answer": [ "Moraine", "River" ], "function": "none", "commonness": -19.63884055832049, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.glacier_terminus", "class": "geography.glacier_terminus", "friendly_name": "Glacier terminus", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.exit_glacier", "class": "geography.glacier", "friendly_name": "Exit Glacier", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "geography.glacier.terminus", "friendly_name": "Terminus" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type 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"question": "what is the genre of annie?", "answer": [ "Musical theatre" ], "function": "none", "commonness": -13.912675189238175, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "theater.theater_genre", "class": "theater.theater_genre", "friendly_name": "Theater Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.annie", "class": "theater.play", "friendly_name": "Annie", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "theater.play.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :theater.theater_genre\n VALUES ?x1 { :m.01_1m4 }\n ?x1 :theater.play.genre ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 82000300, "question": "which type of theater genre does the play annie represent?", "answer": [ "Musical theatre" ], "function": "none", "commonness": -13.912675189238175, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "theater.theater_genre", "class": "theater.theater_genre", "friendly_name": "Theater Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.annie", "class": "theater.play", "friendly_name": "Annie", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "theater.play.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :theater.theater_genre\n VALUES ?x1 { :m.01_1m4 }\n ?x1 :theater.play.genre ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 82000400, "question": "what kind of play is annie?", "answer": [ "Musical theatre" ], "function": "none", "commonness": -13.912675189238175, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "theater.theater_genre", "class": "theater.theater_genre", "friendly_name": "Theater Genre", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.annie", "class": "theater.play", "friendly_name": "Annie", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "theater.play.genre", "friendly_name": "Genre" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :theater.theater_genre\n VALUES ?x1 { :m.01_1m4 }\n ?x1 :theater.play.genre ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000000, "question": "who are impersonated by will ferrell?", "answer": [ "Neil Diamond", "James Lipton", "Janet Reno", "Jesse Ventura", "George Bush", "Ted Kaczynski", "Robert Goulet", "Harry Caray", "Ted Kennedy", "Alex Trebek" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "Will Ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000001, "question": "who are impersonated by ferrell?", "answer": [ "Neil Diamond", "Harry Caray", "Janet Reno", "James Lipton", "George Bush", "Ted Kennedy", "Ted Kaczynski", "Robert Goulet", "Alex Trebek", "Jesse Ventura" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000002, "question": "who are impersonated by will farrell?", "answer": [ "Neil Diamond", "Janet Reno", "Jesse Ventura", "Harry Caray", "Ted Kaczynski", "Ted Kennedy", "James Lipton", "Robert Goulet", "Alex Trebek", "George Bush" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "will farrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000100, "question": "who does will ferrell do impersonations of?", "answer": [ "Ted Kennedy", "Ted Kaczynski", "Robert Goulet", "Neil Diamond", "Harry Caray", "Jesse Ventura", "Janet Reno", "George Bush", "James Lipton", "Alex Trebek" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "Will Ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000101, "question": "who does ferrell do impersonations of?", "answer": [ "Janet Reno", "James Lipton", "Ted Kaczynski", "Jesse Ventura", "George Bush", "Alex Trebek", "Robert Goulet", "Ted Kennedy", "Neil Diamond", "Harry Caray" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000102, "question": "who does will farrell do impersonations of?", "answer": [ "Ted Kennedy", "James Lipton", "Neil Diamond", "George Bush", "Alex Trebek", "Ted Kaczynski", "Jesse Ventura", "Robert Goulet", "Harry Caray", "Janet Reno" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "will farrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000200, "question": "what celebrities are imitated by will ferrell?", "answer": [ "Ted Kennedy", "George Bush", "James Lipton", "Neil Diamond", "Harry Caray", "Ted Kaczynski", "Alex Trebek", "Robert Goulet", "Janet Reno", "Jesse Ventura" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "Will Ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000201, "question": "what celebrities are imitated by ferrell?", "answer": [ "Harry Caray", "Janet Reno", "Ted Kaczynski", "Robert Goulet", "Alex Trebek", "Neil Diamond", "George Bush", "Ted Kennedy", "Jesse Ventura", "James Lipton" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000202, "question": "what celebrities are imitated by will farrell?", "answer": [ "Ted Kaczynski", "Janet Reno", "Alex Trebek", "Neil Diamond", "James Lipton", "Ted Kennedy", "George Bush", "Harry Caray", "Robert Goulet", "Jesse Ventura" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "will farrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000300, "question": "who did will ferrell impersonate?", "answer": [ "James Lipton", "Neil Diamond", "Robert Goulet", "Ted Kennedy", "Alex Trebek", "Harry Caray", "Jesse Ventura", "Ted Kaczynski", "Janet Reno", "George Bush" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "Will Ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000301, "question": "who did ferrell impersonate?", "answer": [ "Robert Goulet", "Harry Caray", "James Lipton", "Ted Kennedy", "Alex Trebek", "Neil Diamond", "George Bush", "Janet Reno", "Ted Kaczynski", "Jesse Ventura" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000302, "question": "who did will farrell impersonate?", "answer": [ "Janet Reno", "Ted Kaczynski", "George Bush", "Jesse Ventura", "Neil Diamond", "Harry Caray", "Ted Kennedy", "James Lipton", "Alex Trebek", "Robert Goulet" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "will farrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000400, "question": "what famous people does comic will ferrell do impressions of?", "answer": [ "George Bush", "Neil Diamond", "Robert Goulet", "Ted Kaczynski", "Janet Reno", "Jesse Ventura", "Harry Caray", "James Lipton", "Alex Trebek", "Ted Kennedy" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "Will Ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 83000401, "question": "what famous people does comic ferrell do impressions of?", "answer": [ "Neil Diamond", "James Lipton", "Jesse Ventura", "Robert Goulet", "Harry Caray", "Alex Trebek", "Ted Kennedy", "Janet Reno", "George Bush", "Ted Kaczynski" ], "function": "none", "commonness": -13.473996990538954, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.impersonated_celebrity", "class": "base.americancomedy.impersonated_celebrity", "friendly_name": "Impersonated celebrity", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.will_ferrell", "class": "base.americancomedy.celebrity_impressionist", "friendly_name": "ferrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX 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"base.americancomedy.celebrity_impressionist", "friendly_name": "will farrell", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.americancomedy.impersonated_celebrity.impersonated_by", "friendly_name": "Impersonated by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.impersonated_celebrity\n VALUES ?x1 { :m.018grr }\n ?x0 :base.americancomedy.impersonated_celebrity.impersonated_by ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000000, "question": "what type of exhibition is the armory show?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "Armory Show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000001, "question": "what type of exhibition is the international exhibition of modern art?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "international exhibition of modern art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000002, "question": "what type of exhibition is the armory art show?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "armory art show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000100, "question": "the armory show is what kind of exhibit?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "Armory Show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000101, "question": "the international exhibition of modern art is what kind of exhibit?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "international exhibition of modern art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000102, "question": "the armory art show is what kind of exhibit?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "armory art show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000200, "question": "what is the armory show classified as?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "Armory Show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000201, "question": "what is the international exhibition of modern art classified as?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "international exhibition of modern art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000202, "question": "what is the armory art show classified as?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "armory art show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000300, "question": "the armory show is what kind of exhibition?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "Armory Show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000301, "question": "the international exhibition of modern art is what kind of exhibition?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "international exhibition of modern art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 84000302, "question": "the armory art show is what kind of exhibition?", "answer": [ "Art exhibition" ], "function": "none", "commonness": -17.501557538578147, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.type_of_exhibition", "class": "exhibitions.type_of_exhibition", "friendly_name": "Type of Exhibition", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.armory_show", "class": "exhibitions.exhibition", "friendly_name": "armory art show", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.exhibition_types", "friendly_name": "Exhibition type(s)" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.type_of_exhibition\n VALUES ?x1 { :m.01_ggr }\n ?x1 :exhibitions.exhibition.exhibition_types ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000000, "question": "what medical therapy do aids patients undergo?", "answer": [ "Saquinavir", "Ritonavir", "Lamivudine", "Indinavir", "Zalcitabine", "Nelfinavir", "Zidovudine", "Lopinavir", "Nevirapine", "Amprenavir", "Delavirdine", "Management of HIV/AIDS", "Abacavir", "Post-exposure prophylaxis", "Efavirenz", "Protease inhibitor", "Tenofovir", "Emtricitabine/Tenofovir", "Stavudine", "Didanosine", "Enfuvirtide" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000001, "question": "what medical therapy do hiv patients undergo?", "answer": [ "Nevirapine", "Indinavir", "Tenofovir", "Stavudine", "Post-exposure prophylaxis", "Management of HIV/AIDS", "Nelfinavir", "Delavirdine", "Zalcitabine", "Saquinavir", "Abacavir", "Enfuvirtide", "Amprenavir", "Ritonavir", "Protease inhibitor", "Efavirenz", "Zidovudine", "Didanosine", "Lopinavir", "Emtricitabine/Tenofovir", "Lamivudine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000002, "question": "what medical therapy do hiv infection patients undergo?", "answer": [ "Nevirapine", "Stavudine", "Emtricitabine/Tenofovir", "Indinavir", "Efavirenz", "Saquinavir", "Enfuvirtide", "Delavirdine", "Tenofovir", "Protease inhibitor", "Amprenavir", "Nelfinavir", "Abacavir", "Lamivudine", "Management of HIV/AIDS", "Zidovudine", "Lopinavir", "Ritonavir", "Post-exposure prophylaxis", "Zalcitabine", "Didanosine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000100, "question": "what is the medical treatment for aids?", "answer": [ "Lamivudine", "Saquinavir", "Emtricitabine/Tenofovir", "Zalcitabine", "Lopinavir", "Zidovudine", "Management of HIV/AIDS", "Nelfinavir", "Post-exposure prophylaxis", "Nevirapine", "Amprenavir", "Didanosine", "Delavirdine", "Abacavir", "Efavirenz", "Ritonavir", "Enfuvirtide", "Indinavir", "Stavudine", "Protease inhibitor", "Tenofovir" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000101, "question": "what is the medical treatment for hiv?", "answer": [ "Abacavir", "Post-exposure prophylaxis", "Management of HIV/AIDS", "Nelfinavir", "Emtricitabine/Tenofovir", "Zidovudine", "Protease inhibitor", "Stavudine", "Didanosine", "Lamivudine", "Zalcitabine", "Efavirenz", "Nevirapine", "Saquinavir", "Amprenavir", "Tenofovir", "Delavirdine", "Lopinavir", "Enfuvirtide", "Ritonavir", "Indinavir" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000102, "question": "what is the medical treatment for hiv infection?", "answer": [ "Tenofovir", "Didanosine", "Management of HIV/AIDS", "Zalcitabine", "Saquinavir", "Indinavir", "Amprenavir", "Lopinavir", "Nelfinavir", "Post-exposure prophylaxis", "Enfuvirtide", "Delavirdine", "Zidovudine", "Nevirapine", "Ritonavir", "Stavudine", "Efavirenz", "Lamivudine", "Abacavir", "Emtricitabine/Tenofovir", "Protease inhibitor" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000200, "question": "how is aids treated?", "answer": [ "Indinavir", "Post-exposure prophylaxis", "Saquinavir", "Ritonavir", "Lamivudine", "Amprenavir", "Nelfinavir", "Abacavir", "Didanosine", "Enfuvirtide", "Management of HIV/AIDS", "Protease inhibitor", "Delavirdine", "Stavudine", "Efavirenz", "Zalcitabine", "Tenofovir", "Emtricitabine/Tenofovir", "Lopinavir", "Nevirapine", "Zidovudine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000201, "question": "how is hiv treated?", "answer": [ "Nevirapine", "Post-exposure prophylaxis", "Efavirenz", "Nelfinavir", "Lamivudine", "Ritonavir", "Zalcitabine", "Stavudine", "Abacavir", "Management of HIV/AIDS", "Amprenavir", "Emtricitabine/Tenofovir", "Protease inhibitor", "Zidovudine", "Lopinavir", "Saquinavir", "Enfuvirtide", "Didanosine", "Indinavir", "Tenofovir", "Delavirdine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000202, "question": "how is hiv infection treated?", "answer": [ "Enfuvirtide", "Post-exposure prophylaxis", "Lopinavir", "Efavirenz", "Abacavir", "Zalcitabine", "Nevirapine", "Delavirdine", "Tenofovir", "Management of HIV/AIDS", "Stavudine", "Nelfinavir", "Protease inhibitor", "Ritonavir", "Emtricitabine/Tenofovir", "Lamivudine", "Saquinavir", "Indinavir", "Didanosine", "Amprenavir", "Zidovudine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000300, "question": "how to treat aids?", "answer": [ "Stavudine", "Management of HIV/AIDS", "Delavirdine", "Zalcitabine", "Lamivudine", "Efavirenz", "Didanosine", "Indinavir", "Zidovudine", "Saquinavir", "Abacavir", "Post-exposure prophylaxis", "Protease inhibitor", "Amprenavir", "Emtricitabine/Tenofovir", "Lopinavir", "Enfuvirtide", "Ritonavir", "Tenofovir", "Nelfinavir", "Nevirapine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000301, "question": "how to treat hiv?", "answer": [ "Nelfinavir", "Management of HIV/AIDS", "Protease inhibitor", "Ritonavir", "Nevirapine", "Delavirdine", "Emtricitabine/Tenofovir", "Post-exposure prophylaxis", "Lopinavir", "Abacavir", "Zidovudine", "Zalcitabine", "Lamivudine", "Saquinavir", "Efavirenz", "Amprenavir", "Tenofovir", "Stavudine", "Indinavir", "Enfuvirtide", "Didanosine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000302, "question": "how to treat hiv infection?", "answer": [ "Stavudine", "Saquinavir", "Lopinavir", "Enfuvirtide", "Ritonavir", "Emtricitabine/Tenofovir", "Post-exposure prophylaxis", "Zidovudine", "Tenofovir", "Lamivudine", "Amprenavir", "Management of HIV/AIDS", "Protease inhibitor", "Nevirapine", "Abacavir", "Nelfinavir", "Delavirdine", "Zalcitabine", "Didanosine", "Indinavir", "Efavirenz" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000400, "question": "what treatment is used for aids?", "answer": [ "Indinavir", "Ritonavir", "Didanosine", "Post-exposure prophylaxis", "Efavirenz", "Abacavir", "Lopinavir", "Nelfinavir", "Nevirapine", "Amprenavir", "Delavirdine", "Saquinavir", "Emtricitabine/Tenofovir", "Protease inhibitor", "Stavudine", "Lamivudine", "Enfuvirtide", "Management of HIV/AIDS", "Zalcitabine", "Tenofovir", "Zidovudine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000401, "question": "what treatment is used for hiv?", "answer": [ "Lamivudine", "Delavirdine", "Protease inhibitor", "Emtricitabine/Tenofovir", "Zidovudine", "Efavirenz", "Management of HIV/AIDS", "Indinavir", "Tenofovir", "Saquinavir", "Enfuvirtide", "Amprenavir", "Nevirapine", "Didanosine", "Stavudine", "Abacavir", "Nelfinavir", "Ritonavir", "Zalcitabine", "Lopinavir", "Post-exposure prophylaxis" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000402, "question": "what treatment is used for hiv infection?", "answer": [ "Enfuvirtide", "Indinavir", "Efavirenz", "Lopinavir", "Tenofovir", "Saquinavir", "Nelfinavir", "Nevirapine", "Stavudine", "Management of HIV/AIDS", "Lamivudine", "Zalcitabine", "Post-exposure prophylaxis", "Protease inhibitor", "Emtricitabine/Tenofovir", "Amprenavir", "Ritonavir", "Didanosine", "Delavirdine", "Zidovudine", "Abacavir" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000500, "question": "what treatment targets aids?", "answer": [ "Indinavir", "Zidovudine", "Nelfinavir", "Emtricitabine/Tenofovir", "Efavirenz", "Amprenavir", "Protease inhibitor", "Enfuvirtide", "Zalcitabine", "Post-exposure prophylaxis", "Lopinavir", "Saquinavir", "Abacavir", "Ritonavir", "Nevirapine", "Didanosine", "Tenofovir", "Delavirdine", "Stavudine", "Management of HIV/AIDS", "Lamivudine" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "AIDS", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000501, "question": "what treatment targets hiv?", "answer": [ "Emtricitabine/Tenofovir", "Post-exposure prophylaxis", "Lopinavir", "Abacavir", "Enfuvirtide", "Delavirdine", "Saquinavir", "Management of HIV/AIDS", "Indinavir", "Protease inhibitor", "Ritonavir", "Tenofovir", "Didanosine", "Stavudine", "Efavirenz", "Nevirapine", "Zidovudine", "Zalcitabine", "Lamivudine", "Nelfinavir", "Amprenavir" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 85000502, "question": "what treatment targets hiv infection?", "answer": [ "Zidovudine", "Emtricitabine/Tenofovir", "Lamivudine", "Nelfinavir", "Post-exposure prophylaxis", "Stavudine", "Didanosine", "Delavirdine", "Ritonavir", "Enfuvirtide", "Indinavir", "Zalcitabine", "Efavirenz", "Tenofovir", "Management of HIV/AIDS", "Saquinavir", "Nevirapine", "Lopinavir", "Abacavir", "Amprenavir", "Protease inhibitor" ], "function": "none", "commonness": -10.549659200536258, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.medical_treatment", "class": "medicine.medical_treatment", "friendly_name": "Medical Treatment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.aids", "class": "medicine.disease", "friendly_name": "hiv infection", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.medical_treatment.used_to_treat", "friendly_name": "Used To Treat" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.medical_treatment\n VALUES ?x1 { :m.0d19y2 }\n ?x0 :medicine.medical_treatment.used_to_treat ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000000, "question": "which spacecrafts were manufactured by the jet propulsion laboratory?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "Jet Propulsion Laboratory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000001, "question": "which spacecrafts were manufactured by the jpl?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jpl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000002, "question": "which spacecrafts were manufactured by the jet propulsion lab?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jet propulsion lab", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000100, "question": "the jet propulsion laboratory manufactured which spacecrafts?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "Jet Propulsion Laboratory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000101, "question": "the jpl manufactured which spacecrafts?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jpl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000102, "question": "the jet propulsion lab manufactured which spacecrafts?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jet propulsion lab", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000200, "question": "what spacecrafts were made at jet propulsion laboratory?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "Jet Propulsion Laboratory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000201, "question": "what spacecrafts were made at jpl?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jpl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000202, "question": "what spacecrafts were made at jet propulsion lab?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jet propulsion lab", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000300, "question": "what spacecrafts did the jet propulsion laboratory produce?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "Jet Propulsion Laboratory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000301, "question": "what spacecrafts did the jpl produce?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jpl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000302, "question": "what spacecrafts did the jet propulsion lab produce?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jet propulsion lab", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000400, "question": "what are the spacecrafts that the jet propulsion laboratory has manufactured?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "Jet Propulsion Laboratory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000401, "question": "what are the spacecrafts that the jpl has manufactured?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jpl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 86000402, "question": "what are the spacecrafts that the jet propulsion lab has manufactured?", "answer": [ "Galileo" ], "function": "none", "commonness": -15.034740807992804, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.schemastaging.spacecraft_extra", "class": "base.schemastaging.spacecraft_extra", "friendly_name": "Spacecraft extra", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.jet_propulsion_laboratory", "class": "spaceflight.satellite_manufacturer", "friendly_name": "jet propulsion lab", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.satellite_manufacturer.spacecraft_manufactured", "friendly_name": "Spacecraft manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.schemastaging.spacecraft_extra\n VALUES ?x1 { :m.0467p }\n ?x1 :spaceflight.satellite_manufacturer.spacecraft_manufactured ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000000, "question": "which organization operates the extreme ultraviolet imaging telescope?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "Extreme ultraviolet Imaging Telescope", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000001, "question": "which organization operates the eit?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000002, "question": "which organization operates the nrl eit?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "nrl eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000100, "question": "the extreme ultraviolet imaging telescope is being operated by whom?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "Extreme ultraviolet Imaging Telescope", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000101, "question": "the eit is being operated by whom?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000102, "question": "the nrl eit is being operated by whom?", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "nrl eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000200, "question": "find the agency that operates the extreme ultraviolet imaging telescope.", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "Extreme ultraviolet Imaging Telescope", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000201, "question": "find the agency that operates the eit.", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 87000202, "question": "find the agency that operates the nrl eit.", "answer": [ "NASA" ], "function": "none", "commonness": -16.932916634611672, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.space_agency", "class": "spaceflight.space_agency", "friendly_name": "Space Agency", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.extreme_ultraviolet_imaging_telescope", "class": "base.virtualheliosphericobservatory.instrument", "friendly_name": "nrl eit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.virtualheliosphericobservatory.instrument.operating_organization", "friendly_name": "operating organization" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.space_agency\n VALUES ?x1 { :m.03ngjw }\n ?x1 :base.virtualheliosphericobservatory.instrument.operating_organization ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000000, "question": "steven spielberg edited which movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "Steven Spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000001, "question": "spielberg edited which movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": 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"sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000100, "question": "steven spielberg was the film editor for which movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "Steven Spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000101, "question": "spielberg was the film editor for which movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000102, "question": "stephen spielberg was the film editor for which movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "stephen spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type 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}\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000201, "question": "what editing work has spielberg done in movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000202, "question": "what editing work has stephen spielberg done in movies?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "stephen spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000300, "question": "what films did steven spielberg edit?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "Steven Spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000301, "question": "what films did spielberg edit?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000302, "question": "what films did stephen spielberg edit?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "stephen spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000400, "question": "what movies has steven spielberg been credited with editing?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancomedy.movie", "class": "base.americancomedy.movie", "friendly_name": "Movie", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.steven_spielberg", "class": "film.editor", "friendly_name": "Steven Spielberg", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "film.editor.film", "friendly_name": "Films edited" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 88000401, "question": "what movies has spielberg been credited with editing?", "answer": [ "The Goonies" ], "function": "none", "commonness": -13.224318035448787, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": 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}, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.americancomedy.movie\n VALUES ?x1 { :m.06pj8 }\n ?x1 :film.editor.film ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 89000000, "question": "what is the name of the buffalo sabres coach?", "answer": [ "Ron Rolston" ], "function": "none", "commonness": -15.280293643752703, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.buffalo_sabres", "class": "ice_hockey.hockey_team", "friendly_name": "Buffalo Sabres", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.current_team", "friendly_name": "Current Team Coached" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { :m.0j5m6 }\n ?x0 :ice_hockey.hockey_coach.current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 89000001, "question": "what is the name of the buffalo coach?", "answer": [ "Ron Rolston" ], "function": "none", "commonness": -15.280293643752703, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.buffalo_sabres", "class": "ice_hockey.hockey_team", "friendly_name": "buffalo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.current_team", "friendly_name": "Current Team Coached" } ] }, "sparql_query": "PREFIX : 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rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { :m.0j5m6 }\n ?x0 :ice_hockey.hockey_coach.current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 89000101, "question": "buffalo is now coached by whom?", "answer": [ "Ron Rolston" ], "function": "none", "commonness": -15.280293643752703, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.buffalo_sabres", "class": "ice_hockey.hockey_team", "friendly_name": "buffalo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.current_team", "friendly_name": "Current Team Coached" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS 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:ice_hockey.hockey_coach\n VALUES ?x1 { :m.0j5m6 }\n ?x0 :ice_hockey.hockey_coach.current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 89000501, "question": "who coaches the buffalo?", "answer": [ "Ron Rolston" ], "function": "none", "commonness": -15.280293643752703, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.buffalo_sabres", "class": "ice_hockey.hockey_team", "friendly_name": "buffalo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.current_team", "friendly_name": "Current Team Coached" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { :m.0j5m6 }\n ?x0 :ice_hockey.hockey_coach.current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 89000502, "question": "who coaches the sabres?", "answer": [ "Ron Rolston" ], "function": "none", "commonness": -15.280293643752703, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "ice_hockey.hockey_coach", "class": "ice_hockey.hockey_coach", "friendly_name": "Ice hockey coach", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.buffalo_sabres", "class": "ice_hockey.hockey_team", "friendly_name": "sabres", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "ice_hockey.hockey_coach.current_team", "friendly_name": "Current Team Coached" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :ice_hockey.hockey_coach\n VALUES ?x1 { :m.0j5m6 }\n ?x0 :ice_hockey.hockey_coach.current_team ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000000, "question": "which group does great comet of 1843 belong to?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "Great Comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000001, "question": "which group does c/1843 d1 belong to?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "c/1843 d1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000002, "question": "which group does great march comet of 1843 belong to?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "great march comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000100, "question": "how is great comet of 1843 classified?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "Great Comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000101, "question": "how is c/1843 d1 classified?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "c/1843 d1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000102, "question": "how is great march comet of 1843 classified?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "great march comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000200, "question": "what is the comet class of the great comet of 1843?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "Great Comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000201, "question": "what is the comet class of the c/1843 d1?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "c/1843 d1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000202, "question": "what is the comet class of the great march comet of 1843?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "great march comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000300, "question": "which comet family grouping is great comet of 1843 in?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "Great Comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000301, "question": "which comet family grouping is c/1843 d1 in?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "c/1843 d1", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000302, "question": "which comet family grouping is great march comet of 1843 in?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "great march comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000400, "question": "what comet group does the great comet of 1843 fall under?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.comet_group", "class": "astronomy.comet_group", "friendly_name": "Comet group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.great_comet_of_1843", "class": "astronomy.comet", "friendly_name": "Great Comet of 1843", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.comet.comet_group", "friendly_name": "Comet group" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :astronomy.comet_group\n VALUES ?x1 { :m.0595vt }\n ?x1 :astronomy.comet.comet_group ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 90000401, "question": "what comet group does the c/1843 d1 fall under?", "answer": [ "Kreutz Sungrazers" ], "function": "none", "commonness": -23.410432544467408, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": 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93000400, "question": "what category does the venus flytrap belong to?", "answer": [ "Carnivorous plant" ], "function": "none", "commonness": -17.043342741001418, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "biology.informal_biological_grouping", "class": "biology.informal_biological_grouping", "friendly_name": "Informal biological grouping", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.venus_flytrap", "class": "biology.organism_classification", "friendly_name": "Venus flytrap", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.informal_biological_grouping.included_classifications", "friendly_name": "Included classifications" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :biology.informal_biological_grouping\n VALUES ?x1 { :m.01t4bh }\n 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"id": "conferences.conference", "class": "conferences.conference", "friendly_name": "Conference event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.e3", "class": "conferences.conference_series", "friendly_name": "e3 expo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "conferences.conference_series.conference", "friendly_name": "Conferences" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :conferences.conference\n VALUES ?x1 { :m.0j6l6 }\n ?x1 :conferences.conference_series.conference ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 94000100, "question": "which events of electronic entertainment expo have been held?", "answer": [ "Electronic Entertainment Expo 2010", "Electronic Entertainment Expo 2009", "Electronic Entertainment Expo 2011", "Electronic Entertainment Expo 2012" ], "function": "none", "commonness": -15.920868772774654, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "conferences.conference", "class": "conferences.conference", "friendly_name": "Conference event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.e3", "class": "conferences.conference_series", "friendly_name": "Electronic Entertainment Expo", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "conferences.conference_series.conference", "friendly_name": "Conferences" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :conferences.conference\n VALUES ?x1 { :m.0j6l6 }\n ?x1 :conferences.conference_series.conference ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 94000101, "question": "which events of e3 have been held?", "answer": [ "Electronic Entertainment Expo 2009", "Electronic Entertainment Expo 2012", "Electronic Entertainment Expo 2010", "Electronic Entertainment Expo 2011" ], "function": "none", "commonness": -15.920868772774654, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "conferences.conference", "class": "conferences.conference", "friendly_name": "Conference event", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.e3", "class": "conferences.conference_series", "friendly_name": "e3", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "conferences.conference_series.conference", "friendly_name": "Conferences" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :conferences.conference\n VALUES ?x1 { :m.0j6l6 }\n ?x1 :conferences.conference_series.conference ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 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"commonness": -10.277873450647292, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.computing_platform", "class": "computer.computing_platform", "friendly_name": "Computing Platform", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.portable_document_format", "class": "computer.file_format", "friendly_name": "adobe pdf", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "computer.file_format.used_on", "friendly_name": "Used On" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :computer.computing_platform . \nVALUES ?x1 { :en.portable_document_format } \n?x1 :computer.file_format.used_on ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 98000000, "question": "in the category martial arts, how many martial arts can be found?", "answer": [ "7" ], 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"question": "how many different types of martial arts are there?", "answer": [ "7" ], "function": "count", "commonness": -15.070323464425178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "martial_arts.martial_art", "class": "martial_arts.martial_art", "friendly_name": "Martial Art", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.04xsv", "class": "martial_arts.martial_art_category", "friendly_name": "Martial arts", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "martial_arts.martial_art_category.martial_arts", "friendly_name": "Martial arts" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :martial_arts.martial_art . \nVALUES ?x1 { :m.04xsv } \n?x1 :martial_arts.martial_art_category.martial_arts ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 98000301, "question": "how many different types of martial art are there?", "answer": [ "7" ], "function": "count", "commonness": -15.070323464425178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "martial_arts.martial_art", "class": "martial_arts.martial_art", "friendly_name": "Martial Art", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.04xsv", "class": "martial_arts.martial_art_category", "friendly_name": "martial art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "martial_arts.martial_art_category.martial_arts", "friendly_name": "Martial arts" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :martial_arts.martial_art . \nVALUES ?x1 { :m.04xsv } \n?x1 :martial_arts.martial_art_category.martial_arts ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 98000400, "question": "how many martial arts can be found in the category martial arts?", "answer": [ "7" ], "function": "count", "commonness": -15.070323464425178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "martial_arts.martial_art", "class": "martial_arts.martial_art", "friendly_name": "Martial Art", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.04xsv", "class": "martial_arts.martial_art_category", "friendly_name": "Martial arts", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "martial_arts.martial_art_category.martial_arts", "friendly_name": "Martial arts" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :martial_arts.martial_art . \nVALUES ?x1 { :m.04xsv } \n?x1 :martial_arts.martial_art_category.martial_arts ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 98000401, "question": "how many martial arts can be found in the category martial art?", "answer": [ "7" ], "function": "count", "commonness": -15.070323464425178, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "martial_arts.martial_art", "class": "martial_arts.martial_art", "friendly_name": "Martial Art", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.04xsv", "class": "martial_arts.martial_art_category", "friendly_name": "martial art", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "martial_arts.martial_art_category.martial_arts", "friendly_name": "Martial arts" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :martial_arts.martial_art . \nVALUES ?x1 { :m.04xsv } \n?x1 :martial_arts.martial_art_category.martial_arts ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000000, "question": "how many product categories does coca-cola belong to?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000001, "question": "how many product categories does coke belong to?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000002, "question": "how many product categories does coca cola belong to?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000100, "question": "how many product categories is coca-cola in?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000101, "question": "how many product categories is coke in?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000102, "question": "how many product categories is coca cola 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categories?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000201, "question": "coke can be classified in how many consumer product categories?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 99000202, "question": "coca cola can be classified in how many consumer product categories?", "answer": [ "2" ], "function": "count", "commonness": -13.311399141276048, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.product_category", "class": "business.product_category", "friendly_name": "Product category", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.coca-cola", "class": "business.consumer_product", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.consumer_product.category", "friendly_name": "Category" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.product_category . \nVALUES ?x1 { :en.coca-cola } \n?x1 :business.consumer_product.category ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 100000000, "question": "on the cover of tintin in the land of the soviets, how many different characters have appeared?", "answer": [ "2" ], "function": "count", "commonness": -17.52806146680889, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_character", "class": "comic_books.comic_book_character", "friendly_name": "Comic Book Character", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.tintin_in_the_land_of_the_soviets", "class": "comic_books.comic_book_issue", "friendly_name": "Tintin in the Land of the Soviets", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "comic_books.comic_book_character.cover_appearances", "friendly_name": "Cover Appearances" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :comic_books.comic_book_character . \nVALUES ?x1 { :en.tintin_in_the_land_of_the_soviets } \n?x0 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"comic_books.comic_book_character.cover_appearances", "friendly_name": "Cover Appearances" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :comic_books.comic_book_character . \nVALUES ?x1 { :en.tintin_in_the_land_of_the_soviets } \n?x0 :comic_books.comic_book_character.cover_appearances ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 100000300, "question": "how many different characters have appeared on the cover of tintin in the land of the soviets?", "answer": [ "2" ], "function": "count", "commonness": -17.52806146680889, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "comic_books.comic_book_character", "class": "comic_books.comic_book_character", "friendly_name": "Comic Book Character", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.tintin_in_the_land_of_the_soviets", "class": 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-20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.infrastructure.power_outage.affected_people", "friendly_name": "Affected people" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 :base.infrastructure.power_outage.affected_people ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 101000100, "question": "which infrustructure power outages affected more than 4000 people?", "answer": [ "2003 Italy blackout", "Northeast blackout of 1965" ], "function": ">", "commonness": -20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.infrastructure.power_outage.affected_people", "friendly_name": "Affected people" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 :base.infrastructure.power_outage.affected_people ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 101000200, "question": "what is the infrastructure power outage that had an effect on over 4000 people?", "answer": [ "Northeast blackout of 1965", "2003 Italy blackout" ], "function": ">", "commonness": -20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.infrastructure.power_outage.affected_people", "friendly_name": "Affected people" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 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DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 :base.infrastructure.power_outage.affected_people ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 101000400, "question": "more than 4000 people were affected in which infrastructure power outages?", "answer": [ "Northeast blackout of 1965", "2003 Italy blackout" ], "function": ">", "commonness": -20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.infrastructure.power_outage.affected_people", "friendly_name": "Affected people" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 :base.infrastructure.power_outage.affected_people ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 101000500, "question": "in which events of power outage over 4000 people are affected?", "answer": [ "2003 Italy blackout", "Northeast blackout of 1965" ], "function": ">", "commonness": -20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.infrastructure.power_outage.affected_people", "friendly_name": "Affected people" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.infrastructure.power_outage . \nFILTER (?x1 > 4000)\n?x0 :base.infrastructure.power_outage.affected_people ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 101000600, "question": "what were the power outages that affected greater than 4000 customers?", "answer": [ "2003 Italy blackout", "Northeast blackout of 1965" ], "function": ">", "commonness": -20.218359963538155, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.infrastructure.power_outage", "class": "base.infrastructure.power_outage", "friendly_name": "Power outage", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4000^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "4000", 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wrecked ship takes up the most displaced space?", "answer": [ "RMS Titanic" ], "function": "argmax", "commonness": -16.262269650587, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.disaster2.wrecked_ship", "class": "base.disaster2.wrecked_ship", "friendly_name": "Wrecked ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "366.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "366.0", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.displacement", "friendly_name": "Displacement" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.disaster2.wrecked_ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.disaster2.wrecked_ship . \n?y0 :boats.ship.displacement ?y1 . \nFILTER ( ?y0 != ?y1 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"commonness": -19.016960745117075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.bigsky.landing_zone", "class": "base.bigsky.landing_zone", "friendly_name": "Landing Zone", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "400^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "400", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.bigsky.landing_zone.altitude_msl_ft", "friendly_name": "Altitude (MSL, ft)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.bigsky.landing_zone . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.bigsky.landing_zone . \n?y0 :base.bigsky.landing_zone.altitude_msl_ft ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.bigsky.landing_zone.altitude_msl_ft ?x1 . \nFILTER ( ?x0 != ?x1 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:type.object.type :base.horseracing.racehorse . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.horseracing.racehorse . \n?y0 :biology.organism.height_meters ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :biology.organism.height_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 104000200, "question": "what is the tallest racehorse in the world?", "answer": [ "Denman" ], "function": "argmax", "commonness": -16.627143175933792, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horseracing.racehorse", "class": "base.horseracing.racehorse", "friendly_name": "Racehorse", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.75^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.75", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism.height_meters", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.horseracing.racehorse . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.horseracing.racehorse . \n?y0 :biology.organism.height_meters ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :biology.organism.height_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 104000300, "question": "which racehorse is the tallest?", "answer": [ "Denman" ], "function": "argmax", "commonness": -16.627143175933792, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horseracing.racehorse", "class": "base.horseracing.racehorse", "friendly_name": "Racehorse", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.75^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.75", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "biology.organism.height_meters", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.horseracing.racehorse . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.horseracing.racehorse . \n?y0 :biology.organism.height_meters ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :biology.organism.height_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 104000400, "question": "what racehorse currently holds the record for being the tallest in the world?", "answer": [ "Denman" ], "function": "argmax", "commonness": -16.627143175933792, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.horseracing.racehorse", "class": "base.horseracing.racehorse", "friendly_name": "Racehorse", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": 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"base.exoplanetology.exoplanet", "friendly_name": "Exoplanet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.97^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.97", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.exoplanetology.exoplanet.radius_earth", "friendly_name": "Radius (earth)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.exoplanetology.exoplanet . \n{\nSELECT (MIN(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.exoplanetology.exoplanet . \n?y0 :base.exoplanetology.exoplanet.radius_earth ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.exoplanetology.exoplanet.radius_earth ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 105000100, "question": "which exoplanet has the smallest radius?", "answer": [ "Kepler-11 b" ], "function": "argmin", "commonness": -18.17448845844666, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.exoplanetology.exoplanet", "class": "base.exoplanetology.exoplanet", "friendly_name": "Exoplanet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.97^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.97", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.exoplanetology.exoplanet.radius_earth", "friendly_name": "Radius (earth)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.exoplanetology.exoplanet . \n{\nSELECT (MIN(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.exoplanetology.exoplanet . \n?y0 :base.exoplanetology.exoplanet.radius_earth ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.exoplanetology.exoplanet.radius_earth ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 105000200, "question": "what planet outside of our solar system is the smallest?", "answer": [ "Kepler-11 b" ], "function": "argmin", "commonness": -18.17448845844666, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.exoplanetology.exoplanet", "class": "base.exoplanetology.exoplanet", "friendly_name": "Exoplanet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.97^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.97", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.exoplanetology.exoplanet.radius_earth", "friendly_name": "Radius (earth)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.exoplanetology.exoplanet . \n{\nSELECT (MIN(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.exoplanetology.exoplanet . \n?y0 :base.exoplanetology.exoplanet.radius_earth ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.exoplanetology.exoplanet.radius_earth ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 105000300, "question": "among the exoplanets we know of, which can be described as having the smallest radius?", "answer": [ "Kepler-11 b" ], "function": "argmin", "commonness": -18.17448845844666, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.exoplanetology.exoplanet", "class": "base.exoplanetology.exoplanet", "friendly_name": "Exoplanet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.97^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.97", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.exoplanetology.exoplanet.radius_earth", "friendly_name": "Radius (earth)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.exoplanetology.exoplanet . \n{\nSELECT (MIN(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.exoplanetology.exoplanet . \n?y0 :base.exoplanetology.exoplanet.radius_earth ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.exoplanetology.exoplanet.radius_earth ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 105000400, "question": "what is the exoplanet that has the known smallest radius?", "answer": [ "Kepler-11 b" ], "function": "argmin", "commonness": -18.17448845844666, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.exoplanetology.exoplanet", "class": "base.exoplanetology.exoplanet", "friendly_name": "Exoplanet", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.97^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.97", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.exoplanetology.exoplanet.radius_earth", "friendly_name": "Radius (earth)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.exoplanetology.exoplanet . \n{\nSELECT (MIN(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.exoplanetology.exoplanet . \n?y0 :base.exoplanetology.exoplanet.radius_earth ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :base.exoplanetology.exoplanet.radius_earth ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 106000000, "question": "which block cipher has a block size smaller than 128 bits?", "answer": [ "Data Encryption Standard", "Blowfish", "Triple DES", "FEAL", "RC5", "RC2" ], "function": "<", "commonness": -16.991179030228317, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.computerscience.block_cipher", "class": "base.computerscience.block_cipher", "friendly_name": "Block cipher", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "128^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "128", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.computerscience.block_cipher.block_sizes", "friendly_name": "Block sizes" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.computerscience.block_cipher . \nFILTER (?x1 < 128)\n?x0 :base.computerscience.block_cipher.block_sizes ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 106000100, "question": "find block ciphers that work on blocks smaller than 128 bits.", "answer": [ "Data Encryption Standard", "Blowfish", "Triple DES", "FEAL", "RC2", "RC5" ], "function": "<", "commonness": -16.991179030228317, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.computerscience.block_cipher", "class": "base.computerscience.block_cipher", "friendly_name": "Block cipher", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "128^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "128", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.computerscience.block_cipher.block_sizes", "friendly_name": "Block sizes" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.computerscience.block_cipher . \nFILTER (?x1 < 128)\n?x0 :base.computerscience.block_cipher.block_sizes ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 106000200, "question": "what block ciphers have a block size of 128 bits or less?", "answer": [ "Data Encryption Standard", "RC5", "Triple DES", "FEAL", "Blowfish", "RC2" ], "function": "<", "commonness": -16.991179030228317, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.computerscience.block_cipher", "class": "base.computerscience.block_cipher", "friendly_name": "Block cipher", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "128^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "128", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.computerscience.block_cipher.block_sizes", "friendly_name": "Block sizes" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.computerscience.block_cipher . \nFILTER (?x1 < 128)\n?x0 :base.computerscience.block_cipher.block_sizes ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000000, "question": "which distilled spirits have an abv 40.0 or less?", "answer": [ "New Holland Beer Barrel Bourbon", "Basil Hayden's", "Père François V.S.", "Green Spot", "Old Crow", "Mekhong", "Alberta Premium", "Kubanskaya", "Ten High", "Cougar Bourbon", "Frysk Hynder", "Virginia Gentleman" ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000100, "question": "find me distilled spirits with abv no higher than 40.0.", "answer": [ "Basil Hayden's", "Green Spot", "Ten High", "Frysk Hynder", "Old Crow", "Père François V.S.", "New Holland Beer Barrel Bourbon", "Mekhong", "Cougar Bourbon", "Kubanskaya", "Virginia Gentleman", "Alberta Premium" ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000200, "question": "can you find me all the liquors with a alcohol by volume no higher than 40.0?", "answer": [ "Alberta Premium", "Kubanskaya", "Frysk Hynder", "New Holland Beer Barrel Bourbon", "Ten High", "Green Spot", "Old Crow", "Mekhong", "Basil Hayden's", "Cougar Bourbon", "Virginia Gentleman", "Père François V.S." ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000300, "question": "what distilled spirits have a abv that is at most 40.0?", "answer": [ "New Holland Beer Barrel Bourbon", "Kubanskaya", "Mekhong", "Ten High", "Old Crow", "Basil Hayden's", "Cougar Bourbon", "Frysk Hynder", "Père François V.S.", "Green Spot", "Alberta Premium", "Virginia Gentleman" ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000400, "question": "what distilled spirits have a percentage of alcohol by volume no higher than 40.0?", "answer": [ "Frysk Hynder", "Cougar Bourbon", "New Holland Beer Barrel Bourbon", "Père François V.S.", "Virginia Gentleman", "Ten High", "Kubanskaya", "Basil Hayden's", "Mekhong", "Old Crow", "Alberta Premium", "Green Spot" ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 107000500, "question": "search for distilled spirits with abv at a maximum of 40.0.", "answer": [ "Père François V.S.", "Virginia Gentleman", "Kubanskaya", "Cougar Bourbon", "New Holland Beer Barrel Bourbon", "Ten High", "Alberta Premium", "Green Spot", "Frysk Hynder", "Old Crow", "Mekhong", "Basil Hayden's" ], "function": "<=", "commonness": -17.031402011683234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "distilled_spirits.distilled_spirit", "class": "distilled_spirits.distilled_spirit", "friendly_name": "Distilled spirit", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "40.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "40.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "distilled_spirits.distilled_spirit.abv", "friendly_name": "Alcohol content" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :distilled_spirits.distilled_spirit . \nFILTER (?x1 <= 40.0)\n?x0 :distilled_spirits.distilled_spirit.abv ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 108000000, "question": "which lake is the longest?", "answer": [ "Lake Tanganyika" ], "function": "argmax", "commonness": -14.37345134131234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.lakebase.lake", "class": "base.lakebase.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "35.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "35.0", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.lakebase.lake . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.lakebase.lake . \n?y0 :geography.lake.length ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 108000100, "question": "what is the name of the longest lake that there is?", "answer": [ "Lake Tanganyika" ], "function": "argmax", "commonness": -14.37345134131234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.lakebase.lake", "class": "base.lakebase.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "35.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "35.0", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.lakebase.lake . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.lakebase.lake . \n?y0 :geography.lake.length ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 108000200, "question": "the longest lake is what?", "answer": [ "Lake Tanganyika" ], "function": "argmax", "commonness": -14.37345134131234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.lakebase.lake", "class": "base.lakebase.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "35.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "35.0", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.lakebase.lake . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.lakebase.lake . \n?y0 :geography.lake.length ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 108000300, "question": "what is the longest lake?", "answer": [ "Lake Tanganyika" ], "function": "argmax", "commonness": -14.37345134131234, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.lakebase.lake", "class": "base.lakebase.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "35.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "35.0", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.lakebase.lake . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.lakebase.lake . \n?y0 :geography.lake.length ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000000, "question": "what venues can hold more than 1417 people?", "answer": [ "London Coliseum", "Her Majesty's Theatre, Melbourne", "Twickenham Stoop", "László Papp Budapest Sports Arena", "Stadio Renato Dall'Ara", "Thebarton Theatre", "Estadio Nuevo Los Cármenes", "Nelson Mandela Bay Stadium", "Velodrom", "New York City Center", "David A. Straz Jr. Center for the Performing Arts", "Staples Center", "Daniel–Meyer Coliseum", "Town Toyota Center", "Hampden Park", "Carter–Finley Stadium", "Warner Theatre", "War Memorial Auditorium", "Fox Theatre", "Hard Rock Hotel and Casino", "Stade Sébastien Charléty", "Robert F. Kennedy Memorial Stadium", "AWD Hall", "Jorgensen Center for the Performing Arts", "Manchester Opera House", "The Hawthorns", "Wicomico Youth and Civic Center", "FC Dallas Stadium", "Ellis Park Stadium", "Schermerhorn Symphony Center", "ShoWare Center", "Moses Mabhida Stadium", "Adelaide Oval", "National Auditorium", "Stadium Municipal", "Marion Palace Theatre", "Sleep Train Pavilion", "Sports Ground, Woodbridge Road, Guildford", "Shea Stadium", "Polideportivo Islas Malvinas", "Doug Mitchell Thunderbird Sports Centre", "Greensboro Coliseum Complex", "WVU Coliseum", "Strahan Coliseum", "Lloyd Noble Center", "Sun National Bank Center", "Curb Event Center", "MTS Centre", "Paul E. Tsongas Center at UMass Lowell", "Coors Events Center", "Covelli Centre", "Sydney Cricket Ground", "Comcast Arena", "Miller Outdoor Theatre", "Eden Park", "Best Buy Theater", "Barabati Stadium", "Silverdome", "The Egg", "Boston Opera House", "Cheney Stadium", "De Grolsch Veste", "Sheikh Khalifa International Stadium", "Sony Centre for the Performing Arts", "Stabler Arena", "Royal Agricultural Hall", "Osaka Dome", "Red Rocks Amphitheatre", "Sleeman Centre", "Arizona Stadium", "Cam Henderson Center", "California Memorial Stadium", "Mohegan Sun Arena at Casey Plaza", "American Music Theatre", "San Siro Stadium", "Mid-America Center", "Sadler's Wells Theatre", "Tilles Center for the Performing Arts", "Easter Road", "Orange County Convention Center", "Perth Concert Hall", "Broome County Veterans Memorial Arena", "Ewood Park", "Ricoh Arena", "Davis Wade Stadium", "Shrine Auditorium", "Alex G. Spanos Center", "Auditorio Telmex", "W. L. Zorn Arena", "Beijing National Aquatics Center", "National Arts Centre, Ottawa", "Wells Fargo Arena", "Loftus Road", "Perth Oval", "PNC Park", "Stade du Moustoir", "Target Field", "Lucas Oil Stadium", "Portsmouth Guildhall", "Firhill Stadium", "Jon M. Huntsman Center", "Ordway Center for the Performing Arts", "O2 Academy Glasgow", "Allianz Arena", "Crisler Center", "Kungliga tennishallen", "Abe Lenstra Stadion", "Swayze Field", "Kampa-Halle", "Hartwall Areena", "The Oval", "Soldier Field", "Western Hall", "Glens Falls Civic Center", "Arena at Gwinnett Center", "Nippert Stadium", "Faurot Field", "Gerry Weber Stadion", "Dorton Arena", "Pershing Center", "Ahmanson Theatre", "Oakdale Theatre", "Curry Hicks Cage", "Camp Nou", "Britannia Stadium", "The Coronet", "Boston Garden", "Pavilion Theatre", "Palacio Vistalegre", "Al-Aqsa Mosque", "Goss Stadium at Coleman Field", "Papa John's Cardinal Stadium", "Joseph P. Riley, Jr. Park", "The Broadway Theatre", "Tampereen jäähalli", "PNC Bank Arts Center", "Ted Constant Convocation Center", "Råsunda Stadium", "Tacoma Dome", "BayArena", "National Concert Hall, Dublin", "Teatro alla Scala", "East End Park", "Stade Vélodrome", "Bowers Stadium", "Orpheum Theatre", "Love Street", "Rhein-Neckar Arena", "The Pit", "Deltaplex Arena & Conference Center", "City of Manchester Stadium", "Balaídos", "Fir Park", "Selhurst Park", "Centennial Stadium", "Camp Randall Stadium", "Saratoga Performing Arts Center", "Montgomery Performing Arts Centre", "Bryce Jordan Center", "Chester Fritz Auditorium", "Princess Theatre, Melbourne", "Ottawa Civic Centre", "Bristol Hippodrome", "Vanderbilt Stadium", "CenturyLink Center", "Credicard Hall", "Swedbank Stadion", "Tyson Events Center", "Salt Lake Stadium", "Rabobank Arena", "Pensacola Civic Center", "MacInnes Student Ice Arena", "Palestra", "Stadio Giovanni Zini", "The Centre", "Verizon Arena", "Palais Theatre", "İzmir Atatürk Stadium", "BMO Harris Bank Center", "Verizon Wireless Amphitheater", "Stamford Bridge", "Sunderland Empire Theatre", "Saitama Super Arena", "BB&T Center", "Ems-Hölle", "Fife Ice Arena", "Parc des Sports", "Sleep Train Amphitheatre", "Pittodrie Stadium", "Mariucci Arena", "Pacific Coliseum", "Bramlage Coliseum", "Megasport Arena", "Olympic Stadium", "Littlejohn Coliseum", "O2 Academy Liverpool", "Kauffman Center for the Performing Arts", "Lander's Center", "Osceola County Stadium", "Budweiser Gardens", "The Arches", "Stadium of Light", "Atletion", "Hobby Center for the Performing Arts", "Bangalore Football Stadium", "Consol Energy Center", "Hallenstadion", "Candlestick Park", "Redbird Arena", "Estadi Olímpic Lluís Companys", "Cricket Wireless Amphitheatre", "The Valley", "Congress Theater", "Cambria County War Memorial Arena", "Tennessee Theatre", "Lone Star Amphitheater", "Estadio El Madrigal", "State Farm Center", "Progressive Field", "Estádio do Pacaembu", "Estadio Ciudad de Santiago del Estero", "Red Rock Resort Spa and Casino", "Dunkin' Donuts Center", "Glasgow Royal Concert Hall", "Arlene Schnitzer Concert Hall, Portland", "Metalist Oblast Sports Complex", "Floyd Casey Stadium", "Compuware Arena", "Canton Memorial Civic Center", "Mage Solar Stadion", "Enmore Theatre", "Star Plaza Theatre", "Wolverhampton Civic Hall", "Cynthia Woods Mitchell Pavilion", "K-Rock Centre", "Dee Events Center", "Fox Theatre", "Beaver Stadium", "Hofburg Palace", "Washington–Grizzly Stadium", "Brandt Centre", "Grand Lake Theater", "Ponds Forge International Sports Centre", "Cowboys Stadium", "Amsterdam Arena", "Wagner Noel Performing Arts Center", "Thunder Bay Community Auditorium", "Tatran Handball Arena", "York Park", "The Bank of Kentucky Center", "Paulson Stadium", "Palace Theatre, Manchester", "Estádio da Luz", "Bethel Woods Center for the Arts", "State Theatre", "Manchester Central Convention Complex", "Volkswagen Arena", "Donald L. Tucker Center", "Memorial Stadium, Lincoln", "Yakima SunDome", "BJK İnönü Stadium", "Joe Louis Arena", "London Astoria", "BC Place", "Veterans Memorial Auditorium", "Şükrü Saracoğlu Stadium", "Bushnell Center for the Performing Arts", "Brooklyn Academy of Music", "Waldo Stadium", "Adriatic Arena", "Ford Field", "Riviera Theatre", "Radio City Music Hall", "Royal Bafokeng Stadium", "Plymouth Pavilions", "Salem Civic Center", "Old Trafford", "Congress Theatre", "Miami Arena", "Chicago Theatre", "Olympia Ice Center", "Peabody Auditorium", "Paul Brown Stadium", "Charles E. Smith Athletic Center", "Fenway Park", "Sandia Resort and Casino", "Ninian Park", "Peoria Civic Center", "Lanxess Arena", "Estadio José Jorge Conte", "Ricoh Coliseum", "Jalan Besar Stadium", "The Pavilion", "Soccer City", "Regent Theatre, Melbourne", "U.S. Bank Arena", "Aggie Stadium", "Barclays Center", "Mosaic Stadium at Taylor Field", "Verizon Theatre at Grand Prairie", "Charlotte Coliseum", "Sun Bowl Stadium", "Aronoff Center", "CenturyLink Center Omaha", "Peace and Friendship Stadium", "Estadio Fortunato Bonelli", "Auburn Arena", "Shotwell Stadium", "Webster Bank Arena", "Gatorade Garden City Complex", "Stadion im. Tadeusza Ślusarskiego", "Pauley Pavilion", "Rec Hall", "Suncorp Stadium", "AT&T Center", "Eisstadion Weißwasser", "Ralph Wilson Stadium", "Capitol Theatre", "Duluth Entertainment Convention Center", "Luna Park, Buenos Aires", "JQH Arena", "North Charleston Coliseum", "Emens Auditorium, Ball State University", "HK Arena", "Campo de Fútbol de Vallecas", "Amman International Stadium", "Princess Theatre, Torquay", "Dominion Theatre", "Vienna State Opera", "Minneapolis Convention Center", "Coface Arena", "Stade de France", "Shanghai Stadium", "Bridgewater Hall, Manchester", "Hokkaido Prefectural Sports Center", "Villa Park", "Walt Disney Concert Hall", "Pepsi Center", "Charline McCombs Empire Theatre", "Air Canada Centre", "Cedar Rapids Ice Arena", "Madejski Stadium", "Veterans Memorial Coliseum", "Penydarren Park", "Winter Gardens, Blackpool", "Manchester Arena", "Verizon Wireless Arena", "EnergySolutions Arena", "Galen Center", "North Harbour Stadium", "Grand Olympic Auditorium", "Tuacahn", "Spartan Stadium", "Wolstein Center", "Cintas Center", "Giant Center", "Halifax Metro Centre", "Lunt-Fontanne Theatre", "Esprit Arena", "Hilton Coliseum", "Cleveland Stadium", "Lyric Theatre, Sydney", "Mayo Civic Center", "Busch Stadium", "The Muny", "Conexus Arts Centre", "Taco Bell Arena", "Edgbaston Cricket Ground", "Cypress Mountain Ski Area", "King's Theatre, Glasgow", "Türk Telekom Arena", "Ebbets Field", "Gachibowli Indoor Stadium", "Ben Hill Griffin Stadium", "Lincoln Financial Field", "Hershey Centre", "Arena di Verona", "U.S. Cellular Field", "Lawrence Joel Veterans Memorial Coliseum", "Bob Devaney Sports Center", "Bank of America Stadium", "Perth Arena", "Western Springs Stadium", "Hampton Coliseum", "Comanche County Fairgrounds", "Cheltenham Racecourse", "Rhodes Stadium", "Williams-Brice Stadium", "Ross–Ade Stadium", "Harvard Stadium", "Oracle Arena", "Kibbie Dome", "Javelina Stadium", "Citi Field", "Legion Field", "Roxy Theatre", "Rod Laver Arena", "Cedar Park Center", "Whistler Sliding Centre", "Kiel Auditorium", "Fifth Third Arena", "William D. Mullins Memorial Center", "Kenan Memorial Stadium", "KFC Yum! Center", "TD Ameritrade Park Omaha", "State Theatre", "Estadio Tetelo Vargas", "Wallace Wade Stadium", "East Fremantle Oval", "Cole Field House", "Cotton Bowl", "Westfalenstadion", "Columbus Crew Stadium", "Ferrell Center", "Bob Carpenter Center", "The Florida Citrus Bowl Stadium", "Estadio Marcelo Bielsa", "Opéra Bastille", "Chavez Theatre", "Patriot Center", "Ussishkin", "Olympic Stadium", "Grugahalle", "1stBank Center", "National Hockey Stadium", "Barrie Molson Centre", "Ullevi", "Stade Marcel Picot", "Frank Erwin Center", "Turner Field", "Eisarena Salzburg", "FedExField", "Charleston Civic Center", "Zellerbach Hall", "Wells Fargo Arena", "Rio Tinto Stadium", "Stockton Arena", "Arrowhead Stadium", "Orleans Arena", "Waterfront Hall", "Palace Theatre", "Norva Theatre", "Stadio San Paolo", "Alabama Theatre", "Spartak Stadium", "Arena Nova", "Frederiksberghallen", "Richard E. Berry Educational Support Center", "The Lighthouse", "Breslin Student Events Center", "Buck Shaw Stadium", "Aviva Stadium", "Summum", "Mackey Arena", "Kidd Brewer Stadium", "Futurist Theatre", "McKale Center", "Seminole Hard Rock Hotel and Casino Hollywood", "Philips Arena", "Calihan Hall", "Minskoff Theatre", "Mackay Stadium", "Packard Stadium", "Lyceum Theatre", "RiverCenter for the Performing Arts", "Family Arena", "Gigg Lane", "Capitol Theatre", "Rentschler Field", "Anfield", "John E. Worthen Arena", "Liacouras Center", "Nelson W. Wolff Municipal Stadium", "Lawson Arena", "Prudential Center", "Sullivan Arena", "Chicago Stadium", "Kombank Arena", "Norfolk Scope Arena", "Gigantium", "University at Buffalo Stadium", "Stadio delle Alpi", "Orpheum Theatre", "Stadio Renato Curi", "HR Commitment Arena", "Yale Bowl", "Majestic Theatre", "Shoreline Amphitheatre", "Centennial Concert Hall, Winnipeg", "Cajun Field", "Beacon Theatre, New York", "Estádio José Alvalade", "Valley View Casino Center", "City National Grove of Anaheim", "Thani bin Jassim Stadium", "Festival Hall", "Bud Walton Arena", "Veterans Stadium", "Riverfront Stadium", "Rose Garden", "Jobing.com Arena", "Maverik Center", "Bobby Dodd Stadium", "London Velopark", "Reliant Stadium", "Whittemore Center", "Fratton Park", "Nikon at Jones Beach Theater", "Jordan–Hare Stadium", "Androscoggin Bank Colisée", "Rice Stadium", "Reno Events Center", "Olympic Stadium", "Target Center", "Resch Center", "Salle Wilfrid-Pelletier, Montreal", "Coleman Coliseum", "Millennium Stadium", "Bramall Lane", "Budweiser Events Center", "HMV Forum", "Majestic Theater", "Percival Molson Memorial Stadium", "Uptown Theater", "Centre In The Square", "Nationwide Arena", "PNC Arena", "Alerus Center", "Achilles Rink", "Sonny Lubick Field at Hughes Stadium", "Peterborough Memorial Centre", "AFAS Stadion", "Gibson Amphitheatre", "Honda Center", "HoHoKam Stadium", "Peabody Opera House", "Skelly Field at H. A. Chapman Stadium", "Blue Cross Arena", "Canad Inns Stadium", "Tonhalle", "Stade de la Mosson", "Tower Theater", "Wang Theatre", "Stadthalle Graz", "Memorial Stadium", "Raymond James Stadium", "Coliseum Alfonso Pérez", "MaxiparkArena", "Crystal Cathedral", "Subiaco Oval", "Memorial Gymnasium", "Eden Gardens", "Independence Events Center", "Mile High Stadium", "Reliant Astrodome", "Sports Authority Field at Mile High", "Kingfield Stadium", "Lotto Arena", "Saban Theatre", "BI-LO Center", "U.S. Cellular Coliseum", "Dean Smith Center", "Palace Theatre", "EnergyAustralia Stadium", "Nya Parken", "Memorial Stadium", "Arlington Stadium", "Elland Road", "Gershwin Theatre", "Royal Opera House, London", "Fisher Field", "Eastman Theatre", "War Memorial Stadium", "Foreman Field", "Veltins-Arena", "Alabama Theatre", "Charles Koch Arena", "Rajamangala Stadium", "Arsenal Stadium", "Hillsborough Stadium", "Charles C. Hughes Stadium", "Amway Arena", "New Amsterdam Theatre", "Winspear Opera House, Dallas", "Alumni Stadium", "Chaifetz Arena", "Romney Stadium", "Arena Theatre", "Metro Radio Arena", "Kyle Field", "Reed Arena", "The Elgin Theatre", "Estadio de La Cartuja", "Rexall Place", "Fillmore Auditorium", "Lawlor Events Center", "Winthrop Coliseum", "Gaiety Theatre, Dublin", "Worthington Arena", "State Theatre", "Boleyn Ground", "Rialto Square Theatre", "Marlins Park", "The Bell Auditorium", "San Francisco Airport Marriott Waterfront", "Manchester Central Convention Complex", "The Fillmore Detroit", "Yost Ice Arena", "St David's Hall", "Hinkle Fieldhouse", "Gill Coliseum", "Sun Life Stadium", "Brighton Centre", "Apollo Victoria Theatre", "New York Hippodrome", "Hill Auditorium", "Toyota Center", "Capitol Theatre", "AWD-Arena", "St James' Park", "Bell Centre", "Stuart C. Siegel Center", "Citizens Bank Park", "Go Dau Stadium", "Spreckels Theater", "Detroit Opera House", "O'Connell Center", "Kemper Arena", "El Sadar Stadium", "Peden Stadium", "Wembley Stadium", "Dowdy–Ficklen Stadium", "Pete Maravich Assembly Center", "Matthews Arena", "Belmore Sports Ground", "Sprint Center", "Yankee Stadium", "Goodison Park", "Orpheum", "Memorial Stadium", "Salt River Fields at Talking Stick", "Allen County War Memorial Coliseum", "Kitchener Memorial Auditorium Complex", "Tynecastle Stadium", "Griffin Park", "AT&T Park", "Robinson Center, Little Rock", "Stade Francis-Le Blé", "Lynah Rink", "Smith Center for the Performing Arts", "O2 World", "Kohl Center", "Miller Park", "Canberra Stadium", "Centre Court", "Aloha Stadium", "Loftus Versfeld Stadium", "SIU Arena", "Show Me Center", "Al-Hamadaniah Stadium", "WACA Ground", "Red Bull Arena", "Neyland Stadium", "United Center", "Westpac Stadium", "Emirates Stadium", "Miami Beach Convention Center", "Regent Theatre", "Gachibowli Athletic Stadium", "Munn Ice Arena", "Ivor Wynne Stadium", "Doak Campbell Stadium", "Anhalt Arena", "TSB Bank Arena", "Wankhede Stadium", "Jim Patterson Stadium", "Beijing National Stadium", "Bryant–Denny Stadium", "Birmingham Hippodrome", "Nokia Theatre L.A. Live", "BMO Harris Bradley Center", "James A. Rhodes Arena", "Esplanade - Theatres on the Bay, Singapore", "The Orbit Room", "Maui Arts & Cultural Center", "State Theatre", "US Airways Center", "Hampton Convocation Center", "Denver Coliseum", "Hyde Park Picture House, Leeds", "Gayfield Park", "Mahalia Jackson Theater of the Performing Arts", "Docklands Stadium", "Toyota Park", "Bronco Stadium", "Shakespeare's Globe", "Memorial Stadium", "Wortham Theater Center", "Asim Ferhatović Hase Stadium", "MGM Grand Garden Arena", "Taft Theatre", "Towson Center", "Morrison Center", "De Doelen", "Cassell Coliseum", "River Center Arena", "Jones AT&T Stadium", "National Auditorium of Music", "Keller Auditorium", "Cape Town Stadium", "Liberty Bowl Memorial Stadium", "Utica Memorial Auditorium", "United Palace Theater", "Motorpoint Arena Sheffield", "Bartow Arena", "Riverbend Music Center", "Rittal Arena Wetzlar", "Amway Center", "Gillette Stadium", "Suheim Bin Hamad Stadium", "Headingley Stadium", "Sawyer Center", "Rugby Park", "Teatro dell'Opera di Roma", "DakotaDome", "Big Sandy Superstore Arena", "Huish Park", "FAU Stadium", "Doak Field", "Estadio de Béisbol Monterrey", "Qualcomm Stadium", "Busch Memorial Stadium", "UCF Arena", "Teatro Real, Madrid", "Pioneer Center for the Performing Arts", "Koning Willem II Stadion", "Proctors", "Cowtown Coliseum", "McCoy Stadium", "Tad Smith Coliseum", "Kay Bailey Hutchison Convention Center", "OlympiaWorld Innsbruck", "Rimrock Auto Arena at MetraPark", "Roanoke Civic Center", "Petco Park", "Comerica Park", "Consol Energy Center", "Grand Ole Opry", "Los Angeles Theatre", "Goggin Ice Arena", "McKenzie Arena", "Edinburgh Festival Theatre", "New Jersey Performing Arts Center", "Racquet Club of Memphis", "Soldiers and Sailors Memorial Auditorium", "Convocation Center", "Mestalla Stadium", "Oslo Opera House", "Stan Sheriff Center", "Spokane Veterans Memorial Arena", "Madison Square Garden", "Murrayfield Ice Rink", "Bahrain National Stadium", "Yokohama Arena", "Long Beach Convention and Entertainment Center", "Sanford Center", "Saint Paul RiverCentre", "Sydney Opera House", "Commerzbank-Arena", "Auditorium-Orchestre National de Lyon", "Singapore Indoor Stadium", "Stroh Center", "The Home Depot Center", "Academy of Music", "Safeco Field", "Palaran Stadium", "Estádio Olímpico João Havelange", "Croke Park", "Verizon Wireless Amphitheatre", "UNI-Dome", "Lakefront Arena", "O2 Arena", "ENMAX Centre", "Estádio do Maracanã", "Heartland Events Center", "Gerald J. Ford Stadium", "The Den", "Allianz Stadium", "North Shore Music Theatre", "Estadio De Béisbol Héctor Espino", "Lord's Cricket Ground", "Methodist Central Hall Westminster", "Toyota Stadium", "FirstEnergy Stadium", "Alpine Valley Music Theatre", "Calvin Gilmore Theater", "Jazz at Lincoln Center", "Vancouver Convention Centre", "Save-On-Foods Memorial Centre", "Bloomfield Road", "Theodoros Kolokotronis Stadium", "Angel Stadium of Anaheim", "Petersen Events Center", "Edmund P. Joyce Center", "Maples Pavilion", "Niaz Stadium", "Autzen Stadium", "GCS Ballpark", "Oakland-Alameda County Coliseum", "Wells Fargo Center", "Dow Event Center", "Ethias Arena", "Braehead Arena", "Alaska Airlines Arena at Hec Edmundson Pavilion", "The Louisville Palace", "Ottawa Convention Centre", "Sullivan Athletic Center", "Quicken Loans Arena", "Ajinomoto Stadium", "Matthew Knight Arena", "Theatre Royal, Drury Lane", "Lahaina Civic Center", "König Pilsener Arena", "Washington Avenue Armory", "Tannadice Park", "Allphones Arena", "Churchill Downs", "Huntington Avenue Grounds", "Olympia Bruno Coquatrix", "Dolby Theatre", "Cliffs Pavilion", "Birmingham–Jefferson Convention Complex", "Central Park, Cowdenbeath", "Abbotsford Entertainment & Sports Centre", "Craven Cottage", "Stanford Stadium", "Yubileyny Sports Palace", "Wings Stadium", "Comerica Theatre", "LP Field", "Estadio Benito Villamarín", "Estadio Nuevo José Zorrilla", "Sydney Entertainment Centre", "Texas Stadium", "Creighton Orpheum Theater", "Durham Performing Arts Center", "CenturyLink Field", "Five Flags Center", "Bojangles' Coliseum", "Gersten Pavilion", "Rialto Theatre", "Town Hall", "Usher Hall, Edinburgh", "Tampa Stadium", "Alamodome", "General Motors Centre", "Kauffman Stadium", "Palau Sant Jordi", "Copps Coliseum", "Frost Arena", "Venue Cymru", "Estádio do Bessa", "Cumberland County Crown Coliseum", "Eriksdalshallen", "Motorpoint Arena Cardiff", "Whistler Olympic Park", "Vicente Calderón Stadium", "Fox Theater Pomona", "King Power Stadium", "The Centre In Vancouver for Performing Arts", "Memorial Stadium, Clemson", "Scandinavium", "Benedum Center", "Foxboro Stadium", "U.S. Cellular Arena", "The Times Union Center", "Nationals Park", "Chesapeake Energy Arena", "Oriole Park at Camden Yards", "Lambeau Field", "Embassy Theatre", "Rose Bowl", "Cumberland County Civic Center", "Harris Theater", "Roberts Municipal Stadium", "Stadion der Freundschaft", "Estadio Riazor", "Marina Bay Sands", "Harbour Station", "Estadio José María Bértora", "Edinburgh Playhouse", "Tampa Bay Times Forum", "Tulalip Resort Casino", "Stechert Arena", "Owensboro Sports Center", "Viejas Arena", "Sam Boyd Stadium", "Cow Palace", "Save Mart Center", "Liverpool Empire Theatre", "Knoxville Civic Auditorium and Coliseum", "Rangers Ballpark in Arlington", "Smart Araneta Coliseum", "The Helix", "Southampton Guildhall", "Olsen Field at Blue Bell Park", "Uptown Theatre", "Bankers Life Fieldhouse", "The Time Warner Cable Arena", "Allstate Arena", "Maverick Baseball Stadium", "Dodger Stadium", "Phoenix Municipal Stadium", "Moncton Coliseum", "Molineux Stadium", "Victoria Palace Theatre", "Edward Jones Dome", "Pride Park Stadium", "Prospera Place", "BOK Center", "KeyArena", "Williams Arena", "FIU Stadium", "Notre Dame Stadium", "National Aquatic Centre", "Stadion Oberwerth", "Robina Stadium", "Laredo Energy Arena", "Vancouver Forum", "Wrigley Field", "M&T Bank Stadium", "Rogers Centre", "Ryan Field", "Jack Trice Stadium", "Celtic Park", "Ryan Center", "Majestic Theatre", "Riverside Stadium", "Zénith d'Orléans", "Dahlberg Arena", "Stadium Australia", "Count Basie Theatre", "Scotiabank Place", "Glücksgas Stadium", "Queen Elizabeth Theatre", "LDS Conference Center", "Citi Performing Arts Center", "Huntington Center", "Colonial Life Arena", "TD Waterhouse Stadium", "Stadio Olimpico di Torino", "Antarès", "BancorpSouth Arena", "War Memorial Stadium", "LaVell Edwards Stadium", "Shea's Performing Arts Center", "Le Grand Rex", "Pavilion Theatre", "Astana Arena", "Adelphi Theatre", "Marina Civic Center", "Symphony Hall", "Wembley Stadium", "Pauley Pavilion", "Luis Conde Arena", "Stanley Park Stadium", "Vaught–Hemingway Stadium", "Lipperlandhalle", "Carnie Smith Stadium", "Germain Arena", "El Paso County Coliseum", "Városi Sportcsarnok", "Ladd Peebles Stadium", "Vector Arena", "Rupp Arena", "Reynolds Coliseum", "Indiana University Auditorium", "Auckland Civic Theatre", "American Airlines Arena", "The Dome Leisure Centre", "Knapp Center", "Harry A. Gampel Pavilion", "Gaillard Municipal Auditorium", "Mitsubishi Electric Halle", "Estadio Julio Humberto Grondona", "Commonwealth Stadium", "Princess of Wales Theatre", "Benjamin and Marian Schuster Performing Arts Center", "Echo Arena Liverpool", "Comcast Center", "Baum Stadium", "ARCO Arena I", "Fox Theatre", "Mizzou Arena", "Deva Stadium", "Estadio Racing Club", "Clyde Auditorium", "Kelly/Shorts Stadium", "Morton H. Meyerson Symphony Center, Dallas", "Roundhouse", "Somerset Park", "Peter Mokaba Stadium", "National Theatre", "ABB Arena Syd", "Ferguson Center for the Arts", "Admiralspalast", "Columbiahalle", "Palais des congrès de Paris", "Millerntor-Stadion", "Lansdowne Road", "Orpheum Theatre", "Odyssey Arena", "Krannert Center for the Performing Arts", "Chacarita Juniors Stadium", "Ralph Engelstad Arena", "Viaero Event Center", "Melching Field at Conrad Park", "Credit Union Centre", "Rexall Centre", "EWE Arena", "Grand Theatre, Leeds", "Underhill Stadium", "Palais Omnisports de Paris-Bercy", "William \"Dick\" Price Stadium", "Stade Geoffroy-Guichard", "Anaheim Convention Center", "Hearst Greek Theatre", "Colston Hall", "Freedom Hall", "Rogers Arena", "Thompson–Boling Arena", "PPL Park", "First Arena", "Tropicana Field", "Bright House Networks Stadium", "Vicarage Road", "KSU Convocation Center", "FedExForum", "Regent Theatre", "Majestic Theatre", "Comcast Center", "Jacksonville Veterans Memorial Arena", "Raleigh Convention Center", "Zenith Arena", "Maple Leaf Gardens", "Richmond Olympic Oval", "The Concert Hall in Aarhus", "Crystal Palace National Sports Centre", "Civic Arena", "Frankfurter Volksbank Stadion", "Royal Theatre Carré", "Mediolanum Forum", "Florence Civic Center", "Citizens Business Bank Arena", "McDiarmid Park", "Reser Stadium", "Rice-Eccles Stadium", "American Airlines Center", "Avery Fisher Hall", "Commonwealth Stadium", "Louise M. Davies Symphony Hall", "MetLife Stadium", "Theatre Royal, Glasgow", "University of Dayton Arena", "John F. Kennedy Stadium", "Ericsson Globe", "Cardiff Arena", "Carnesecca Arena", "Bondi Beach", "The Shay", "Izod Center", "Richmond Coliseum", "Stadio Alberto Braglia", "Fatorda Stadium", "Coronado Performing Arts Center", "Three Rivers Stadium", "Sparkassen-Erzgebirgsstadion", "The Forum", "Pabellón Polideportivo Artaleku", "Phoenix Symphony Hall", "Santiago Bernabéu Stadium", "Brown Stadium", "Gallagher-Iba Arena", "Ashton Gate Stadium", "Arena do Grêmio", "Foro Sol", "Chrysler Hall", "Hagan Arena", "Gaylord Family Oklahoma Memorial Stadium", "1st Mariner Arena", "Nuremberg Arena", "Cruzan Amphitheatre", "Tulane Stadium", "Michie Stadium", "Ibrox Stadium", "Ikast-Brande Arena", "New World Stages", "Stranahan Theater", "Juventus Stadium", "BMO Field", "Van Andel Arena", "Robins Center", "Hollywood Bowl", "Volleyball Sportiv Complex", "Stadio Antonio Bianco", "Sudbury Community Arena", "Old Trafford Cricket Ground", "Daytona International Speedway", "Xcel Energy Center", "Green Point Stadium", "Rose Bowl", "Royal Festival Hall", "Event Center Arena", "Akoo Theatre at Rosemont", "Stadion An der Alten Försterei", "UNF Arena", "Los Angeles Memorial Coliseum", "Wiener Stadthalle Hall D", "Allen Fieldhouse", "Bellerive Oval", "Pharr International Convention Center", "The Lowry", "Cameron Stadium", "St. James Theatre, Wellington", "Franklin Field", "Allen Event Center", "Weserstadion", "Philips Stadion", "Marquis Theatre", "Lake Elsinore Diamond", "Durham County Stadium", "Stadthalle Hagen", "Dvorana Mirza Delibašić", "New Road, Worcester", "RCA Dome", "The Music Hall", "Falkirk Stadium", "Alex Box Stadium/Skip Bertman Field", "Municipal Auditorium", "Vikings Stadium", "Jeld-Wen Field", "I Wireless Center", "Bass Performance Hall", "Football Park", "Winnipeg Arena", "Foxwoods Theatre", "Savannah Civic Center", "KC Stadium", "Dom Sportova", "Kezar Stadium", "Salvus-Stadion am Grevener Damm", "Adler Theatre", "White Hart Lane", "Falcon Stadium", "Mountaineer Field at Milan Puskar Stadium", "Michigan Stadium", "Forrest Theatre", "Neil Simon Theatre", "Great American Ball Park", "Tucson Convention Center", "Hanns-Martin-Schleyer-Halle", "Carrara Stadium", "Theater des Westens", "Marin County Civic Center", "Liberty Stadium", "HP Pavilion at San Jose", "Sanford Stadium", "Ice Palace \"Ural Lightning\"", "Wiener Musikverein", "Palais Garnier", "National Ice Centre", "Empire, Leicester Square", "MassMutual Center", "Putra Indoor Stadium", "Byrd Stadium", "Benteler Arena", "Kimmel Arena", "Teatro di San Carlo, Naples", "Bill Snyder Family Football Stadium", "Bill Graham Civic Auditorium", "Faliro Coastal Zone Olympic Complex", "O2 World", "Teatro Colón, Buenos Aires", "Pellissier Building and Wiltern Theatre", "Kress Events Center", "Landmark Theatre", "Spiroudome", "St. Augustine Amphitheatre", "Bord Gáis Energy Theatre", "Stade de la Route de Lorient", "Holy Name Cathedral, Chicago", "Pantages Theatre", "Clark–LeClair Stadium", "The Palace of Auburn Hills", "TD Bank Garden", "Nippon Budokan", "Cobo Center", "Cadillac Palace Theatre", "National Stadium, Bukit Jalil", "Cajundome", "Sleep Train Arena", "Pitt Stadium", "Metropolitan Opera House", "London Palladium", "Thomas Wolfe Auditorium", "Jiffy Lube Live", "Boone Pickens Stadium", "Auditorio Banamex", "Stadio Olimpico", "Estadio Alberto J. Armando", "5th Avenue Theatre", "Reitz Arena", "Pennsylvania Convention Center", "Scottrade Center", "Scheels Arena", "Boardwalk Hall", "Estádio do Dragão", "Estadi Ciutat de València", "The Sage Gateshead", "Melbourne Multi Purpose Venue", "Princeton University Stadium", "The O2", "AT&T Performing Arts Center", "Wales Millennium Centre", "Carlson Center", "Apollo Theater", "Sears Centre Arena", "The Gabba", "Jay Pritzker Pavilion", "Ulster Performing Arts Center", "Von Braun Center", "The Whiting", "Challenge Stadium", "Conte Forum", "BB&T Field", "Palace Theatre, Melbourne", "Morris Performing Arts Center", "Preußenstadion", "Red Star Stadium", "United Spirit Arena", "Yankee Stadium", "WesBanco Arena", "Olympic Stadium", "Bridgestone Arena", "Le Transbordeur", "Stade Auguste Bonal", "Camille Chamoun Sports City Stadium", "Hammersmith Palais", "Heinz Field", "Johnny Unitas Stadium", "Don Haskins Center", "Folsom Field", "Jenny Craig Pavilion", "Palais des Sports", "Agora Theatre and Ballroom", "The O2 Arena", "Roy Wilkins Auditorium", "University of Phoenix Stadium", "Carver–Hawkeye Arena", "Mosaic Place", "Oslo Spektrum", "DCU Center", "Teatro degli Arcimboldi", "Cox Convention Center", "Coors Field", "Point Theatre", "Estadio Monumental Antonio Vespucio Liberti", "Tate Rink", "Golden Gate Theatre", "CFSB Center", "Hofheinz Pavilion", "New Theatre Oxford", "Stockholm Olympic Stadium", "Four Seasons Centre for the Performing Arts", "Ed Mirvish Theatre", "Kitchener Memorial Auditorium", "Cameron Indoor Stadium", "Celebrity Theatre", "Newcastle City Hall", "Pan American Center", "Hult Center for the Performing Arts", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Auditorium Parco della Musica", "E Werk", "BankUnited Center", "Robertson Stadium", "TCF Bank Stadium", "Qemal Stafa Stadium", "Scotiabank Saddledome", "Chiles Center", "Palace Theatre", "Tiger Stadium", "Louis Brown Athletic Center", "Hanover Theatre for the Performing Arts", "Twickenham Stadium", "Víctor Jara Stadium", "Eintracht-Stadion", "Stade de Gerland", "Scott Stadium", "McArthur Court", "Hill 16", "Haas Pavilion", "Estadio Azteca", "Savoy Cinema", "INB Performing Arts Center", "Stadio Ennio Tardini", "McMahon Stadium", "Community Arts Center", "Austin Convention Center", "Saoud bin Abdulrahman Stadium", "Kinnick Stadium", "EverBank Field", "Cícero Pompeu de Toledo Stadium", "Welsh-Ryan Arena", "Symphony Hall, Birmingham", "Aggie Stadium", "Georgia Dome", "Capitol Theatre, Sydney", "Comédie-Française", "Newcastle Entertainment Centre", "Cobb Energy Performing Arts Centre", "Ford Center", "Independence Stadium", "Intrust Bank Arena", "Minute Maid Park", "Elispace", "Apollo Theater", "Reebok Stadium", "Orpheum Theatre", "Mohegan Sun Arena", "Tokyo Dome City", "Spartan Stadium", "Granada Theater", "Palau d'Esports de Granollers", "Sioux Falls Arena", "Broward Center for the Performing Arts", "Victoria Theatre", "Tiger Stadium", "Meadow Park", "San Jose Center For The Performing Arts", "Susquehanna Bank Center", "La Romareda", "Miami Orange Bowl", "Tad Gormley Stadium", "E. A. Diddle Arena", "Stadio Artemio Franchi", "Estádio Vila Capanema", "Ohio Stadium", "Agganis Arena", "Bobcat Stadium", "Sacramento Convention Center Complex", "Paramount Theatre", "Massey Hall", "Wembley Arena", "Amon G. Carter Stadium", "Regent Theatre, Dunedin", "Hammerstein Ballroom", "Al Hirschfeld Theatre", "Hubert H. Humphrey Metrodome", "Ottawa Auditorium", "Lakewood Church Central Campus", "Sovereign Center", "High Point Solutions Stadium", "Braly Municipal Stadium", "Estadio Ciudad de La Plata", "UIC Pavilion", "Assembly Hall", "Martin Stadium", "Mile One Centre", "Old National Centre", "Alfond Arena", "USF Sun Dome", "National Indoor Arena", "Eastern Kentucky Expo Center", "New Orleans Arena", "World Arena, Colorado Springs", "John Paul Jones Arena", "Marriott Center", "Principal Park", "Verizon Center", "Lane Stadium", "Mercedes-Benz Superdome", "Gold Coast Convention and Exhibition Centre", "Alexandra Palace", "GelreDome", "Mississippi Coliseum", "Flens-Arena", "Iberostar Stadium", "Nashville Municipal Auditorium", "D.C. Armory", "Chase Field", "The Joint", "San Diego Civic Theatre", "Liberty Bank Stadium", "Nutter Center", "Los Angeles Memorial Sports Arena", "Warner Theatre", "Melbourne Cricket Ground", "Palladium Ballroom", "Stadio Artemio Franchi – Montepaschi Arena", "UFCU Disch–Falk Field", "Estadio Olímpico Andrés Quintana Roo", "Winter Garden Theatre", "Ralph Engelstad Arena", "Popejoy Hall", "Moody Coliseum", "De Montfort Hall", "St Andrew's", "Donald W. Reynolds Razorback Stadium", "Thomas & Mack Center", "New I-Mobile Stadium", "Hancock Stadium", "Vines Center", "Concertgebouw, Amsterdam", "Fox Theater", "Surprise Stadium", "Goodman Stadium", "Value City Arena at the Jerome Schottenstein Center", "Cannon Center-Performing Arts", "Bridgeforth Stadium and Zane Showker Field", "Holt Arena", "Sleuyter Arena", "Anoeta Stadium", "Swedbank Park", "Expo Square Pavilion", "Wellmont Theatre", "Husky Stadium", "Kölner Philharmonie", "Royal Melbourne Showgrounds", "MDCC-Arena", "First Niagara Center", "Toyota Center", "Donbass Arena", "Riverside Theater", "Stade du Hameau", "Beethovenhalle", "Prince Edward Theatre", "Lyric Opera House", "Stade Armand Cesari", "Victoria Hall, Hanley", "Carter Barron Amphitheatre", "Olympic Stadium Munich", "Darrell K Royal–Texas Memorial Stadium", "Donau Arena", "DTE Energy Music Theatre", "Fargodome", "Brisbane Entertainment Centre", "Max-Schmeling-Halle", "Alamo Stadium", "Elliott Hall of Music", "Kingsmeadow", "Carrier Dome", "Beijing National Aquatics Center", "New Wimbledon Theatre", "Tokyo Dome", "PalaLottomatica", "Orpheum Theatre", "Molson Canadian Amphitheatre", "American Bank Center", "TipsArena", "Palladium Theater", "XL Center", "Estadio Cubierto Newell's Old Boys", "Medicine Hat Arena", "Hi Corbett Field", "Durham Bulls Athletic Park", "Magness Arena", "Andrew Jackson Hall", "Nassau Veterans Memorial Coliseum", "Camelback Ranch", "Sun Devil Stadium", "Redondo Beach Performing Arts Center", "Columbus Civic Center", "Zénith de Strasbourg", "Giants Stadium", "Estadio Universitario", "Dale F. Halton Arena", "U.S. Cellular Center" ], "function": ">", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 > 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000100, "question": "search for venues with a minimum seating capacity of 1417.", "answer": [ "Estádio do Bessa", "Buck Shaw Stadium", "Spartan Stadium", "St. Augustine Amphitheatre", "Maples Pavilion", "Cow Palace", "Gerald J. Ford Stadium", "Pacific Coliseum", "Goodman Stadium", "Hartwall Areena", "Chester Fritz Auditorium", "Riviera Theatre", "Auburn Arena", "Palais des Sports", "Saitama Super Arena", "Uptown Theater", "Ewood Park", "Convocation Center", "Kingfield Stadium", "Gachibowli Athletic Stadium", "Nikon at Jones Beach Theater", "Stadthalle Hagen", "Estadio José Jorge Conte", "Tatran Handball Arena", "Carlson Center", "Cotton Bowl", "Estádio da Luz", "Mosaic Place", "Lynah Rink", "Griffin Park", "Soldier Field", "Royal Festival Hall", "Orpheum Theatre", "Congress Theater", "Al-Hamadaniah Stadium", "Rice-Eccles Stadium", "Reed Arena", "Edward Jones Dome", "Sydney Entertainment Centre", "Roundhouse", "Memorial Stadium", "Von Braun Center", "Stade Sébastien Charléty", "Town Toyota Center", "Huish Park", "Methodist Central Hall Westminster", "Oracle Arena", "Lucas Oil Stadium", "Doak Field", "St Andrew's", "Symphony Hall", "Melbourne Multi Purpose Venue", "Palais Omnisports de Paris-Bercy", "GelreDome", "Camp Nou", "Robina Stadium", "Chacarita Juniors Stadium", "O2 Arena", "Aggie Stadium", "State Theatre", "Harris Theater", "Cam Henderson Center", "Her Majesty's Theatre, Melbourne", "Estádio José Alvalade", "Carter Barron Amphitheatre", "Estadio Alberto J. Armando", "Whistler Sliding Centre", "Curry Hicks Cage", "Swedbank Stadion", "Magness Arena", "Beijing National Aquatics Center", "LDS Conference Center", "Stamford Bridge", "Charleston Civic Center", "Barabati Stadium", "Davis Wade Stadium", "Rio Tinto Stadium", "Civic Arena", "1stBank Center", "Florence Civic Center", "Ottawa Auditorium", "Miami Arena", "Arena di Verona", "Palais Garnier", "Colonial Life Arena", "Manchester Central Convention Complex", "Emirates Stadium", "Carrier Dome", "Bass Performance Hall", "Comerica Theatre", "Southampton Guildhall", "Minute Maid Park", "Krannert Center for the Performing Arts", "Yubileyny Sports Palace", "New Road, Worcester", "CenturyLink Field", "Sullivan Arena", "Lawlor Events Center", "Gillette Stadium", "Olympic Stadium", "K-Rock Centre", "St James' Park", "Manchester Opera House", "Harvard Stadium", "Cambria County War Memorial Arena", "Sonny Lubick Field at Hughes Stadium", "UNF Arena", "Four Seasons Centre for the Performing Arts", "Target Center", "Credicard Hall", "Estadio Monumental Antonio Vespucio Liberti", "Boardwalk Hall", "Jordan–Hare Stadium", "FC Dallas Stadium", "Bob Carpenter Center", "William \"Dick\" Price Stadium", "Alamodome", "Rajamangala Stadium", "Motorpoint Arena Cardiff", "5th Avenue Theatre", "Don Haskins Center", "BI-LO Center", "RiverCenter for the Performing Arts", "Paul E. Tsongas Center at UMass Lowell", "Asim Ferhatović Hase Stadium", "Calvin Gilmore Theater", "Washington–Grizzly Stadium", "Embassy Theatre", "World Arena, Colorado Springs", "Tonhalle", "Phoenix Municipal Stadium", "Royal Bafokeng Stadium", "National Auditorium of Music", "Orpheum Theatre", "Hallenstadion", "Ed Mirvish Theatre", "E Werk", "Ottawa Civic Centre", "Bridgestone Arena", "Jeld-Wen Field", "Vanderbilt Stadium", "US Airways Center", "Beijing National Stadium", "Bud Walton Arena", "Stadion An der Alten Försterei", "Princess Theatre, Torquay", "OlympiaWorld Innsbruck", "Holy Name Cathedral, Chicago", "EnergyAustralia Stadium", "Golden Gate Theatre", "Edinburgh Playhouse", "Maverik Center", "KSU Convocation Center", "McArthur Court", "Ulster Performing Arts Center", "The Egg", "Riverbend Music Center", "The Valley", "Avery Fisher Hall", "Wolverhampton Civic Hall", "BOK Center", "TD Bank Garden", "Sun Life Stadium", "Drayton McLane Baseball Stadium at John H. Kobs Field", "William D. Mullins Memorial Center", "Marriott Center", "Target Field", "INB Performing Arts Center", "Save-On-Foods Memorial Centre", "New Theatre Oxford", "Germain Arena", "Boston Opera House", "JQH Arena", "Benjamin and Marian Schuster Performing Arts Center", "Winthrop Coliseum", "Lord's Cricket Ground", "DCU Center", "Toyota Park", "Niaz Stadium", "Nassau Veterans Memorial Coliseum", "Chicago Stadium", "Sandia Resort and Casino", "Pauley Pavilion", "Frederiksberghallen", "Anfield", "Sleep Train Amphitheatre", "Ashton Gate Stadium", "Percival Molson Memorial Stadium", "Quicken Loans Arena", "Angel Stadium of Anaheim", "The Broadway Theatre", "Raleigh Convention Center", "Hokkaido Prefectural Sports Center", "Wembley Arena", "Maple Leaf Gardens", "Soldiers and Sailors Memorial Auditorium", "Docklands Stadium", "Fatorda Stadium", "Bowers Stadium", "War Memorial Stadium", "Expo Square Pavilion", "Palais Theatre", "Brighton Centre", "Rose Bowl", "Nationwide Arena", "High Point Solutions Stadium", "Gold Coast Convention and Exhibition Centre", "Gigg Lane", "KeyArena", "Zénith d'Orléans", "The Concert Hall in Aarhus", "Stadio Olimpico", "Neyland Stadium", "Atletion", "Salem Civic Center", "Petersen Events Center", "Warner Theatre", "ShoWare Center", "USF Sun Dome", "Gayfield Park", "Cowboys Stadium", "Toyota Stadium", "Tokyo Dome City", "Rhein-Neckar Arena", "Bushnell Center for the Performing Arts", "Mage Solar Stadion", "Yankee Stadium", "Western Hall", "Estadio Marcelo Bielsa", "Giants Stadium", "Creighton Orpheum Theater", "Roxy Theatre", "Colston Hall", "San Siro Stadium", "Estadio de La Cartuja", "Városi Sportcsarnok", "National Hockey Stadium", "Lyric Theatre, Sydney", "Capitol Theatre, Sydney", "Three Rivers Stadium", "Gershwin Theatre", "WVU Coliseum", "Thomas Wolfe Auditorium", "Ferguson Center for the Arts", "Georgia Dome", "Odyssey Arena", "Mile High Stadium", "California Memorial Stadium", "Tulalip Resort Casino", "Durham Bulls Athletic Park", "Rose Garden", "AWD-Arena", "Craven Cottage", "El Paso County Coliseum", "Estadi Ciutat de València", "Wicomico Youth and Civic Center", "The Louisville Palace", "U.S. Cellular Field", "Miami Beach Convention Center", "Tokyo Dome", "Alaska Airlines Arena at Hec Edmundson Pavilion", "David A. Straz Jr. Center for the Performing Arts", "Brisbane Entertainment Centre", "Floyd Casey Stadium", "Value City Arena at the Jerome Schottenstein Center", "Princeton University Stadium", "Memorial Stadium", "Safeco Field", "Tad Smith Coliseum", "Hyde Park Picture House, Leeds", "Bill Snyder Family Football Stadium", "TD Ameritrade Park Omaha", "Fenway Park", "Memorial Stadium", "Mackay Stadium", "Deltaplex Arena & Conference Center", "Vaught–Hemingway Stadium", "Comerica Park", "CFSB Center", "Subiaco Oval", "Centre Court", "AT&T Performing Arts Center", "Mahalia Jackson Theater of the Performing Arts", "Sears Centre Arena", "Reitz Arena", "Regent Theatre", "Alabama Theatre", "MDCC-Arena", "The Fillmore Detroit", "Bronco Stadium", "Elliott Hall of Music", "Hofburg Palace", "Rittal Arena Wetzlar", "Bridgeforth Stadium and Zane Showker Field", "Budweiser Gardens", "BJK İnönü Stadium", "The Shay", "Cliffs Pavilion", "BMO Harris Bradley Center", "Liverpool Empire Theatre", "Qualcomm Stadium", "Cypress Mountain Ski Area", "Allianz Stadium", "Arrowhead Stadium", "Comédie-Française", "Benteler Arena", "Arsenal Stadium", "Estadio Tetelo Vargas", "Gaiety Theatre, Dublin", "Eintracht-Stadion", "Peace and Friendship Stadium", "Dee Events Center", "Swayze Field", "New Jersey Performing Arts Center", "Venue Cymru", "Auditorium Parco della Musica", "Ordway Center for the Performing Arts", "The Coronet", "HoHoKam Stadium", "Duluth Entertainment Convention Center", "Bobby Dodd Stadium", "The Palace of Auburn Hills", "Utica Memorial Auditorium", "Al Hirschfeld Theatre", "Cheltenham Racecourse", "BB&T Center", "Donald L. Tucker Center", "Los Angeles Memorial Coliseum", "Wang Theatre", "Miller Park", "New Orleans Arena", "Taco Bell Arena", "Academy of Music", "Abe Lenstra Stadion", "Beacon Theatre, New York", "UIC Pavilion", "Rimrock Auto Arena at MetraPark", "John E. Worthen Arena", "Pepsi Center", "Camille Chamoun Sports City Stadium", "Ikast-Brande Arena", "Doak Campbell Stadium", "Stadio San Paolo", "Reliant Astrodome", "Oslo Opera House", "Anoeta Stadium", "Westfalenstadion", "Honda Center", "HK Arena", "Zénith de Strasbourg", "Fox Theatre", "Cardiff Arena", "Ussishkin", "TipsArena", "Sleuyter Arena", "Futurist Theatre", "Amway Center", "Fox Theatre", "Oslo Spektrum", "Alfond Arena", "Hilton Coliseum", "Gallagher-Iba Arena", "McMahon Stadium", "Goodison Park", "Soccer City", "Daytona International Speedway", "The Times Union Center", "Conte Forum", "Coors Events Center", "Crisler Center", "Singapore Indoor Stadium", "Memorial Stadium, Clemson", "Tilles Center for the Performing Arts", "Busch Stadium", "MaxiparkArena", "Kyle Field", "Goss Stadium at Coleman Field", "National Concert Hall, Dublin", "National Arts Centre, Ottawa", "Broward Center for the Performing Arts", "Orleans Arena", "The Centre", "Suncorp Stadium", "Galen Center", "Coronado Performing Arts Center", "Event Center Arena", "Oakdale Theatre", "Hollywood Bowl", "AT&T Park", "Kombank Arena", "Veterans Memorial Auditorium", "Tacoma Dome", "Legion Field", "War Memorial Auditorium", "Tampa Stadium", "Charles E. Smith Athletic Center", "Eden Gardens", "Shakespeare's Globe", "Underhill Stadium", "Grand Ole Opry", "Heinz Field", "Kiel Auditorium", "Alerus Center", "Durham Performing Arts Center", "Norva Theatre", "Morton H. Meyerson Symphony Center, Dallas", "Holt Arena", "Central Park, Cowdenbeath", "Fillmore Auditorium", "Pabellón Polideportivo Artaleku", "Spokane Veterans Memorial Arena", "Manchester Arena", "Robertson Stadium", "Melching Field at Conrad Park", "Råsunda Stadium", "Estadio Nuevo José Zorrilla", "Lane Stadium", "Alexandra Palace", "Freedom Hall", "Stadio Giovanni Zini", "Veterans Stadium", "East Fremantle Oval", "Lotto Arena", "Valley View Casino Center", "Redbird Arena", "Sanford Center", "WesBanco Arena", "U.S. Cellular Center", "Stadio Renato Curi", "National Aquatic Centre", "Philips Stadion", "Kingsmeadow", "Michigan Stadium", "Estádio Olímpico João Havelange", "Estadio Riazor", "Tennessee Theatre", "Estadio Nuevo Los Cármenes", "Stadio Renato Dall'Ara", "Coleman Coliseum", "Bahrain National Stadium", "Somerset Park", "Nutter Center", "Abbotsford Entertainment & Sports Centre", "Brown Stadium", "Cadillac Palace Theatre", "Adriatic Arena", "Chase Field", "Kitchener Memorial Auditorium", "Carter–Finley Stadium", "Campo de Fútbol de Vallecas", "Mitsubishi Electric Halle", "Faurot Field", "Verizon Theatre at Grand Prairie", "Olympic Stadium", "Amon G. Carter Stadium", "Rose Bowl", "Gaylord Family Oklahoma Memorial Stadium", "Sawyer Center", "Saint Paul RiverCentre", "Osaka Dome", "Kitchener Memorial Auditorium Complex", "Shanghai Stadium", "Motorpoint Arena Sheffield", "Estadio Racing Club", "Nippert Stadium", "Wrigley Field", "PalaLottomatica", "State Theatre", "Scheels Arena", "Shea Stadium", "Pennsylvania Convention Center", "Gibson Amphitheatre", "Capitol Theatre", "Credit Union Centre", "Richmond Coliseum", "Proctors", "New World Stages", "Donald W. Reynolds Razorback Stadium", "Riverside Stadium", "Rhodes Stadium", "Community Arts Center", "Vines Center", "Chavez Theatre", "Ericsson Globe", "Schermerhorn Symphony Center", "Estadio Fortunato Bonelli", "Canad Inns Stadium", "Birmingham–Jefferson Convention Complex", "Lloyd Noble Center", "American Music Theatre", "Barclays Center", "Lake Elsinore Diamond", "Old Trafford", "Kungliga tennishallen", "Miller Outdoor Theatre", "Memorial Stadium, Lincoln", "Lambeau Field", "Vancouver Forum", "The Oval", "Hillsborough Stadium", "Rabobank Arena", "Neil Simon Theatre", "GCS Ballpark", "Lakewood Church Central Campus", "Mile One Centre", "North Shore Music Theatre", "Ems-Hölle", "Tampa Bay Times Forum", "Gill Coliseum", "The Bell Auditorium", "Candlestick Park", "MacInnes Student Ice Arena", "King's Theatre, Glasgow", "Nationals Park", "Richard E. Berry Educational Support Center", "Whistler Olympic Park", "Beaver Stadium", "KFC Yum! Center", "Montgomery Performing Arts Centre", "Robinson Center, Little Rock", "American Airlines Center", "Louis Brown Athletic Center", "King Power Stadium", "Yale Bowl", "Bondi Beach", "Old Trafford Cricket Ground", "Rogers Arena", "Bright House Networks Stadium", "National Ice Centre", "Sun Devil Stadium", "Saban Theatre", "Citizens Business Bank Arena", "Ford Center", "Autzen Stadium", "Fox Theater", "New York Hippodrome", "Alpine Valley Music Theatre", "Newcastle Entertainment Centre", "Gachibowli Indoor Stadium", "Cícero Pompeu de Toledo Stadium", "Admiralspalast", "Van Andel Arena", "Red Rocks Amphitheatre", "Viejas Arena", "Ralph Engelstad Arena", "Aggie Stadium", "Glücksgas Stadium", "Chrysler Hall", "Zenith Arena", "Gaillard Municipal Auditorium", "Save Mart Center", "Al-Aqsa Mosque", "Long Beach Convention and Entertainment Center", "Penydarren Park", "Toyota Center", "Jon M. Huntsman Center", "The Bank of Kentucky Center", "The O2", "Whittemore Center", "McDiarmid Park", "Beijing National Aquatics Center", "Popejoy Hall", "Churchill Downs", "Sacramento Convention Center Complex", "Sudbury Community Arena", "Gigantium", "Veterans Memorial Coliseum", "Bellerive Oval", "Kezar Stadium", "Westpac Stadium", "Newcastle City Hall", "Salvus-Stadion am Grevener Damm", "Melbourne Cricket Ground", "Paramount Theatre", "Allen County War Memorial Coliseum", "Dow Event Center", "AT&T Center", "Ohio Stadium", "Comcast Arena", "Cintas Center", "Prudential Center", "Stadium of Light", "Turner Field", "Landmark Theatre", "Palladium Ballroom", "König Pilsener Arena", "Stadium Australia", "Summum", "Giant Center", "Regent Theatre", "Ellis Park Stadium", "Astana Arena", "Foreman Field", "Cricket Wireless Amphitheatre", "Oakland-Alameda County Coliseum", "Wiener Stadthalle Hall D", "Williams-Brice Stadium", "O'Connell Center", "Stadio delle Alpi", "Adelphi Theatre", "Cumberland County Civic Center", "Love Street", "Jazz at Lincoln Center", "Joe Louis Arena", "Boleyn Ground", "Sun Bowl Stadium", "Liberty Bowl Memorial Stadium", "Michie Stadium", "Orange County Convention Center", "Hill 16", "Prince Edward Theatre", "Radio City Music Hall", "Apollo Victoria Theatre", "Braly Municipal Stadium", "Welsh-Ryan Arena", "Majestic Theatre", "Carnie Smith Stadium", "Commerzbank-Arena", "Le Grand Rex", "Moncton Coliseum", "Hampden Park", "Richmond Olympic Oval", "Stroh Center", "Morris Performing Arts Center", "Hofheinz Pavilion", "RCA Dome", "Edgbaston Cricket Ground", "Fox Theater Pomona", "Ross–Ade Stadium", "Tampereen jäähalli", "Miami Orange Bowl", "First Arena", "Theodoros Kolokotronis Stadium", "Broome County Veterans Memorial Arena", "Qemal Stafa Stadium", "Denver Coliseum", "Martin Stadium", "Carrara Stadium", "Best Buy Theater", "Falkirk Stadium", "Cheney Stadium", "Stadio Antonio Bianco", "Stadio Artemio Franchi – Montepaschi Arena", "Peoria Civic Center", "Ralph Wilson Stadium", "Marlins Park", "Fargodome", "Preußenstadion", "Koning Willem II Stadion", "Stade de Gerland", "Darrell K Royal–Texas Memorial Stadium", "FedExField", "Nelson Mandela Bay Stadium", "The Time Warner Cable Arena", "Congress Theatre", "Consol Energy Center", "Great American Ball Park", "Kenan Memorial Stadium", "Folsom Field", "Winnipeg Arena", "Ryan Field", "Stadion Oberwerth", "Keller Auditorium", "Spiroudome", "Shea's Performing Arts Center", "BayArena", "Byrd Stadium", "Los Angeles Theatre", "WACA Ground", "Fife Ice Arena", "Petco Park", "Doug Mitchell Thunderbird Sports Centre", "Vicarage Road", "M&T Bank Stadium", "Haas Pavilion", "Stade Auguste Bonal", "Mountaineer Field at Milan Puskar Stadium", "Resch Center", "Gersten Pavilion", "American Airlines Arena", "Allianz Arena", "Columbiahalle", "El Sadar Stadium", "Stabler Arena", "Dolby Theatre", "Verizon Wireless Amphitheater", "Lincoln Financial Field", "Parc des Sports", "Estadio De Béisbol Héctor Espino", "The Elgin Theatre", "Dunkin' Donuts Center", "Estadio Julio Humberto Grondona", "Stranahan Theater", "Centennial Stadium", "Cleveland Stadium", "U.S. Bank Arena", "San Diego Civic Theatre", "AWD Hall", "Kidd Brewer Stadium", "Stade de France", "De Doelen", "North Charleston Coliseum", "Comcast Center", "Surprise Stadium", "White Hart Lane", "Copps Coliseum", "National Theatre", "Stockton Arena", "Arena Theatre", "Memorial Gymnasium", "Capitol Theatre", "Pete Maravich Assembly Center", "Stadio Alberto Braglia", "Metro Radio Arena", "HMV Forum", "Rugby Park", "Arlene Schnitzer Concert Hall, Portland", "Reno Events Center", "United Spirit Arena", "Sleep Train Arena", "Ivor Wynne Stadium", "Memorial Stadium", "Grand Olympic Auditorium", "Maverick Baseball Stadium", "Munn Ice Arena", "Spartak Stadium", "Palacio Vistalegre", "Donau Arena", "Sydney Cricket Ground", "Riverfront Stadium", "The Gabba", "Eisstadion Weißwasser", "Gatorade Garden City Complex", "Ricoh Arena", "Sam Boyd Stadium", "Palau Sant Jordi", "Bill Graham Civic Auditorium", "Estadio Universitario", "Star Plaza Theatre", "Olsen Field at Blue Bell Park", "War Memorial Stadium", "Putra Indoor Stadium", "Pioneer Center for the Performing Arts", "Palace Theatre, Manchester", "The Lighthouse", "Phoenix Symphony Hall", "Spreckels Theater", "Veltins-Arena", "Reliant Stadium", "Huntington Avenue Grounds", "Cobo Center", "Auditorium-Orchestre National de Lyon", "Harry A. Gampel Pavilion", "Roberts Municipal Stadium", "FirstEnergy Stadium", "Jorgensen Center for the Performing Arts", "Stadio Artemio Franchi", "New Wimbledon Theatre", "Camelback Ranch", "Edmund P. Joyce Center", "Amman International Stadium", "Comanche County Fairgrounds", "Apollo Theater", "Scotiabank Place", "Luis Conde Arena", "Fifth Third Arena", "Rentschler Field", "Tuacahn", "Thompson–Boling Arena", "Estadio Olímpico Andrés Quintana Roo", "Palace Theatre", "Arena at Gwinnett Center", "Fir Park", "Fisher Field", "Romney Stadium", "Morrison Center", "Foxboro Stadium", "Wankhede Stadium", "Olympic Stadium Munich", "Saoud bin Abdulrahman Stadium", "Hearst Greek Theatre", "D.C. Armory", "The Den", "Teatro dell'Opera di Roma", "First Niagara Center", "Lyceum Theatre", "Huntington Center", "HP Pavilion at San Jose", "Olympia Ice Center", "Ebbets Field", "Crystal Cathedral", "Johnny Unitas Stadium", "Sullivan Athletic Center", "Volkswagen Arena", "ENMAX Centre", "Flens-Arena", "Marina Civic Center", "Amsterdam Arena", "Jim Patterson Stadium", "Bobcat Stadium", "Forrest Theatre", "Daniel–Meyer Coliseum", "Metalist Oblast Sports Complex", "Air Canada Centre", "McKenzie Arena", "Verizon Arena", "Pensacola Civic Center", "Laredo Energy Arena", "Five Flags Center", "Palladium Theater", "Lander's Center", "Stade Francis-Le Blé", "Wellmont Theatre", "Cole Field House", "Regent Theatre, Melbourne", "Wolstein Center", "Polideportivo Islas Malvinas", "LaVell Edwards Stadium", "Festival Hall", "Millennium Stadium", "Victoria Hall, Hanley", "Tynecastle Stadium", "Lanxess Arena", "Foxwoods Theatre", "University of Dayton Arena", "EnergySolutions Arena", "Stadthalle Graz", "Citi Field", "BB&T Field", "San Jose Center For The Performing Arts", "Hammerstein Ballroom", "Peabody Opera House", "Weserstadion", "Scott Stadium", "Nuremberg Arena", "London Velopark", "Auditorio Telmex", "Savannah Civic Center", "Texas Stadium", "Tiger Stadium", "Calihan Hall", "Charles C. Hughes Stadium", "Coface Arena", "Aviva Stadium", "Matthews Arena", "Alex Box Stadium/Skip Bertman Field", "Loftus Road", "Stadium Municipal", "Madejski Stadium", "Oriole Park at Camden Yards", "Liberty Bank Stadium", "Mosaic Stadium at Taylor Field", "The Muny", "Allen Fieldhouse", "Santiago Bernabéu Stadium", "Moody Coliseum", "Murrayfield Ice Rink", "Britannia Stadium", "Wells Fargo Center", "Dominion Theatre", "Usher Hall, Edinburgh", "Volleyball Sportiv Complex", "FedExForum", "Green Point Stadium", "ABB Arena Syd", "Frankfurter Volksbank Stadion", "Olympic Stadium", "United Palace Theater", "Williams Arena", "Harbour Station", "Yokohama Arena", "Velodrom", "Durham County Stadium", "Juventus Stadium", "Bell Centre", "Izod Center", "Stanford Stadium", "Sprint Center", "Kay Bailey Hutchison Convention Center", "Dodger Stadium", "Orpheum Theatre", "Minskoff Theatre", "Princess Theatre, Melbourne", "Pavilion Theatre", "PNC Park", "Pellissier Building and Wiltern Theatre", "Nelson W. Wolff Municipal Stadium", "Bord Gáis Energy Theatre", "Tucson Convention Center", "Canberra Stadium", "Carver–Hawkeye Arena", "Mercedes-Benz Superdome", "Deva Stadium", "Massey Hall", "Hard Rock Hotel and Casino", "PNC Arena", "Portsmouth Guildhall", "Alumni Stadium", "Capitol Theatre", "Sanford Stadium", "The Lowry", "Wortham Theater Center", "Verizon Center", "Tiger Stadium", "Ted Constant Convocation Center", "Teatro Colón, Buenos Aires", "Peter Mokaba Stadium", "University at Buffalo Stadium", "Municipal Auditorium", "Knoxville Civic Auditorium and Coliseum", "Thani bin Jassim Stadium", "The Centre In Vancouver for Performing Arts", "Taft Theatre", "Mestalla Stadium", "Thebarton Theatre", "Grand Theatre, Leeds", "Stade du Moustoir", "Türk Telekom Arena", "Vicente Calderón Stadium", "Swedbank Park", "Scandinavium", "Cameron Indoor Stadium", "Firhill Stadium", "Ottawa Convention Centre", "Kinnick Stadium", "Bethel Woods Center for the Arts", "John F. Kennedy Stadium", "Uptown Theatre", "Tyson Events Center", "Wings Stadium", "Ralph Engelstad Arena", "Liberty Stadium", "Hershey Centre", "Cobb Energy Performing Arts Centre", "Hult Center for the Performing Arts", "Alamo Stadium", "Goggin Ice Arena", "BMO Field", "University of Phoenix Stadium", "Olympia Bruno Coquatrix", "Estadio Cubierto Newell's Old Boys", "Redondo Beach Performing Arts Center", "Columbus Civic Center", "Commonwealth Stadium", "Mohegan Sun Arena at Casey Plaza", "Comcast Center", "Auditorio Banamex", "EverBank Field", "Cajundome", "Scotiabank Saddledome", "Glens Falls Civic Center", "Citizens Bank Park", "Stade Geoffroy-Guichard", "Hanover Theatre for the Performing Arts", "Waldo Stadium", "CenturyLink Center Omaha", "Stade de la Route de Lorient", "CenturyLink Center", "Go Dau Stadium", "Moses Mabhida Stadium", "Toyota Center", "Hampton Convocation Center", "EWE Arena", "The Hawthorns", "Hammersmith Palais", "Iberostar Stadium", "The Pit", "Grugahalle", "Cowtown Coliseum", "MassMutual Center", "Joseph P. Riley, Jr. Park", "Hanns-Martin-Schleyer-Halle", "Palace Theatre, Melbourne", "Arizona Stadium", "Prospera Place", "E. A. Diddle Arena", "Mohegan Sun Arena", "BMO Harris Bank Center", "Echo Arena Liverpool", "Adelaide Oval", "Millerntor-Stadion", "Ninian Park", "Royal Theatre Carré", "Budweiser Events Center", "XL Center", "Hubert H. Humphrey Metrodome", "Canton Memorial Civic Center", "Knapp Center", "Mayo Civic Center", "Allstate Arena", "Stade Vélodrome", "Víctor Jara Stadium", "Philips Arena", "Fox Theatre", "Saratoga Performing Arts Center", "Victoria Theatre", "Big Sandy Superstore Arena", "Sioux Falls Arena", "KC Stadium", "Elland Road", "Roy Wilkins Auditorium", "Stockholm Olympic Stadium", "Bristol Hippodrome", "Shotwell Stadium", "Bob Devaney Sports Center", "Verizon Wireless Arena", "PNC Bank Arts Center", "Jenny Craig Pavilion", "Columbus Crew Stadium", "Peterborough Memorial Centre", "Beethovenhalle", "Bangalore Football Stadium", "New I-Mobile Stadium", "Boone Pickens Stadium", "The Joint", "Warner Theatre", "AFAS Stadion", "Birmingham Hippodrome", "Scottrade Center", "National Auditorium", "Charline McCombs Empire Theatre", "Empire, Leicester Square", "Pauley Pavilion", "Busch Memorial Stadium", "Symphony Hall, Birmingham", "Rupp Arena", "Wales Millennium Centre", "Ullevi", "Marina Bay Sands", "Croke Park", "Anaheim Convention Center", "Mackey Arena", "Yankee Stadium", "Luna Park, Buenos Aires", "Seminole Hard Rock Hotel and Casino Hollywood", "Notre Dame Stadium", "State Theatre", "Ahmanson Theatre", "Nokia Theatre L.A. Live", "PPL Park", "Show Me Center", "Vienna State Opera", "Verizon Wireless Amphitheatre", "Marin County Civic Center", "Winspear Opera House, Dallas", "Theatre Royal, Glasgow", "Frost Arena", "Bloomfield Road", "Andrew Jackson Hall", "Paul Brown Stadium", "Celebrity Theatre", "Rogers Centre", "Palestra", "Lipperlandhalle", "Liacouras Center", "Eriksdalshallen", "SIU Arena", "James A. Rhodes Arena", "Edinburgh Festival Theatre", "Yakima SunDome", "Boston Garden", "Marquis Theatre", "Rialto Square Theatre", "Cassell Coliseum", "Agora Theatre and Ballroom", "Matthew Knight Arena", "Kimmel Arena", "Easter Road", "Independence Stadium", "Javelina Stadium", "Osceola County Stadium", "Aronoff Center", "Braehead Arena", "Centennial Concert Hall, Winnipeg", "Hancock Stadium", "Shoreline Amphitheatre", "Ajinomoto Stadium", "Bramall Lane", "Papa John's Cardinal Stadium", "Estádio do Pacaembu", "Peabody Auditorium", "Estadio Ciudad de Santiago del Estero", "Estadio Benito Villamarín", "General Motors Centre", "Robert F. Kennedy Memorial Stadium", "O2 World", "Pittodrie Stadium", "Maui Arts & Cultural Center", "Stanley Park Stadium", "Hill Auditorium", "O2 Academy Glasgow", "Stadion der Freundschaft", "Minneapolis Convention Center", "Louise M. Davies Symphony Hall", "Ladd Peebles Stadium", "Teatro Real, Madrid", "Susquehanna Bank Center", "Orpheum Theatre", "Lawrence Joel Veterans Memorial Coliseum", "Eastman Theatre", "U.S. Cellular Coliseum", "Agganis Arena", "Tulane Stadium", "ARCO Arena I", "Achilles Rink", "Riverside Theater", "Lakefront Arena", "Ford Field", "Barrie Molson Centre", "Royal Melbourne Showgrounds", "O2 Academy Liverpool", "City National Grove of Anaheim", "Western Springs Stadium", "Rangers Ballpark in Arlington", "Rice Stadium", "National Indoor Arena", "Cynthia Woods Mitchell Pavilion", "Eastern Kentucky Expo Center", "Chicago Theatre", "Cajun Field", "Headingley Stadium", "Mediolanum Forum", "Cruzan Amphitheatre", "Charlotte Coliseum", "Estadio Azteca", "Sheikh Khalifa International Stadium", "Eisarena Salzburg", "Curb Event Center", "Wembley Stadium", "Skelly Field at H. A. Chapman Stadium", "Aloha Stadium", "Akoo Theatre at Rosemont", "Breslin Student Events Center", "Kölner Philharmonie", "Winter Gardens, Blackpool", "Stade Armand Cesari", "Sadler's Wells Theatre", "Norfolk Scope Arena", "Alex G. Spanos Center", "Pitt Stadium", "Stade du Hameau", "The Orbit Room", "Kelly/Shorts Stadium", "Cape Town Stadium", "Mid-America Center", "U.S. Cellular Arena", "De Grolsch Veste", "Stadio Olimpico di Torino", "Perth Concert Hall", "Vector Arena", "Royal Opera House, London", "Sunderland Empire Theatre", "Smith Center for the Performing Arts", "Jalan Besar Stadium", "Jobing.com Arena", "Old National Centre", "TD Waterhouse Stadium", "Metropolitan Opera House", "Palau d'Esports de Granollers", "Tropicana Field", "City of Manchester Stadium", "Franklin Field", "Twickenham Stadium", "The Pavilion", "Lawson Arena", "Ice Palace \"Ural Lightning\"", "Max-Schmeling-Halle", "Thomas & Mack Center", "Kauffman Center for the Performing Arts", "Cumberland County Crown Coliseum", "Tad Gormley Stadium", "Consol Energy Center", "Dowdy–Ficklen Stadium", "Pharr International Convention Center", "Allphones Arena", "Dom Sportova", "Hinkle Fieldhouse", "Estadio José María Bértora", "State Farm Center", "John Paul Jones Arena", "Pantages Theatre", "Strahan Coliseum", "Granada Theater", "Wiener Musikverein", "Clark–LeClair Stadium", "TSB Bank Arena", "The O2 Arena", "La Romareda", "Lunt-Fontanne Theatre", "Bryce Jordan Center", "Perth Arena", "Xcel Energy Center", "Mizzou Arena", "Principal Park", "Towson Center", "Princess of Wales Theatre", "Androscoggin Bank Colisée", "London Palladium", "St David's Hall", "Plymouth Pavilions", "Hampton Coliseum", "St. James Theatre, Wellington", "Estádio do Maracanã", "Camp Randall Stadium", "Queen Elizabeth Theatre", "Thunder Bay Community Auditorium", "Crystal Palace National Sports Centre", "Greensboro Coliseum Complex", "McCoy Stadium", "Chaifetz Arena", "W. L. Zorn Arena", "Alabama Theatre", "Regent Theatre, Dunedin", "FIU Stadium", "Packard Stadium", "Challenge Stadium", "The Home Depot Center", "The Florida Citrus Bowl Stadium", "Madison Square Garden", "Teatro alla Scala", "Estadio de Béisbol Monterrey", "Hi Corbett Field", "Nashville Municipal Auditorium", "Dean Smith Center", "O2 World", "York Park", "Red Star Stadium", "Majestic Theater", "Cox Convention Center", "Red Rock Resort Spa and Casino", "Bank of America Stadium", "Grand Lake Theater", "Jacksonville Veterans Memorial Arena", "Dvorana Mirza Delibašić", "Theater des Westens", "MGM Grand Garden Arena", "Salle Wilfrid-Pelletier, Montreal", "Brooklyn Academy of Music", "Shrine Auditorium", "State Theatre", "Bartow Arena", "Sports Ground, Woodbridge Road, Guildford", "BC Place", "Donbass Arena", "Sovereign Center", "I Wireless Center", "McKale Center", "Bojangles' Coliseum", "Football Park", "Kibbie Dome", "Opéra Bastille", "San Francisco Airport Marriott Waterfront", "Vikings Stadium", "Yost Ice Arena", "Le Transbordeur", "Baum Stadium", "Stuart C. Siegel Center", "Orpheum Theatre", "Reebok Stadium", "Arena Nova", "Reser Stadium", "Victoria Palace Theatre", "Bramlage Coliseum", "Wells Fargo Arena", "New Amsterdam Theatre", "Esprit Arena", "Pride Park Stadium", "Amway Arena", "Ben Hill Griffin Stadium", "Independence Events Center", "Racquet Club of Memphis", "Tannadice Park", "Teatro di San Carlo, Naples", "Palace Theatre", "Şükrü Saracoğlu Stadium", "Centre In The Square", "Staples Center", "Hobby Center for the Performing Arts", "Sports Authority Field at Mile High", "Brandt Centre", "The Arches", "Stade de la Mosson", "Owensboro Sports Center", "HR Commitment Arena", "Eden Park", "London Coliseum", "Estádio Vila Capanema", "Hagan Arena", "River Center Arena", "Benedum Center", "Zellerbach Hall", "Ferrell Center", "The Music Hall", "Estadi Olímpic Lluís Companys", "Gerry Weber Stadion", "Pershing Center", "Sun National Bank Center", "London Astoria", "Citi Performing Arts Center", "Chiles Center", "Cedar Park Center", "Covelli Centre", "Stechert Arena", "Kohl Center", "Assembly Hall", "Mississippi Coliseum", "Foro Sol", "Los Angeles Memorial Sports Arena", "Manchester Central Convention Complex", "Selhurst Park", "Meadow Park", "Coliseum Alfonso Pérez", "De Montfort Hall", "Balaídos", "Spartan Stadium", "Walt Disney Concert Hall", "Arlington Stadium", "Megasport Arena", "Loftus Versfeld Stadium", "Falcon Stadium", "Lyric Opera House", "Arena do Grêmio", "North Harbour Stadium", "Cannon Center-Performing Arts", "Theatre Royal, Drury Lane", "The Forum", "Pan American Center", "Pavilion Theatre", "Carnesecca Arena", "Bryant–Denny Stadium", "Raymond James Stadium", "Celtic Park", "MTS Centre", "Suheim Bin Hamad Stadium", "Orpheum", "Rexall Centre", "Dahlberg Arena", "Antarès", "Patriot Center", "Jiffy Lube Live", "Fratton Park", "Halifax Metro Centre", "Adler Theatre", "Lansdowne Road", "Reynolds Coliseum", "Molson Canadian Amphitheatre", "Austin Convention Center", "Faliro Coastal Zone Olympic Complex", "Kauffman Stadium", "TCF Bank Stadium", "Rec Hall", "Anhalt Arena", "Detroit Opera House", "The Whiting", "UFCU Disch–Falk Field", "UCF Arena", "Count Basie Theatre", "Savoy Cinema", "Glasgow Royal Concert Hall", "The Dome Leisure Centre", "Rexall Place", "Charles Koch Arena", "Tower Theater", "Coors Field", "Stadio Ennio Tardini", "FAU Stadium", "Kemper Arena", "Ibrox Stadium", "Allen Event Center", "Sleep Train Pavilion", "Paulson Stadium", "DakotaDome", "Marion Palace Theatre", "Elispace", "Conexus Arts Centre", "Roanoke Civic Center", "Royal Agricultural Hall", "Ponds Forge International Sports Centre", "Lahaina Civic Center", "New York City Center", "Sony Centre for the Performing Arts", "LP Field", "Stadion im. Tadeusza Ślusarskiego", "Salt River Fields at Talking Stick", "Family Arena", "Wallace Wade Stadium", "Waterfront Hall", "Estadio El Madrigal", "Lone Star Amphitheater", "BancorpSouth Arena", "Apollo Theater", "National Stadium, Bukit Jalil", "Jack Trice Stadium", "Esplanade - Theatres on the Bay, Singapore", "Mariucci Arena", "Red Bull Arena", "Blue Cross Arena", "Vancouver Convention Centre", "Heartland Events Center", "İzmir Atatürk Stadium", "Clyde Auditorium", "Perth Oval", "Viaero Event Center", "Stade Marcel Picot", "Kress Events Center", "Palaran Stadium", "Sparkassen-Erzgebirgsstadion", "Majestic Theatre", "Husky Stadium", "MetLife Stadium", "Sleeman Centre", "Auckland Civic Theatre", "Jones AT&T Stadium", "Winter Garden Theatre", "American Bank Center", "The Sage Gateshead", "Olympic Stadium", "Rialto Theatre", "László Papp Budapest Sports Arena", "Peden Stadium", "Salt Lake Stadium", "Concertgebouw, Amsterdam", "Molineux Stadium", "Tate Rink", "Smart Araneta Coliseum", "Twickenham Stoop", "Cameron Stadium", "Emens Auditorium, Ball State University", "Majestic Theatre", "Dale F. Halton Arena", "Cedar Rapids Ice Arena", "Ricoh Coliseum", "The Helix", "Frank Erwin Center", "DTE Energy Music Theatre", "Nya Parken", "Progressive Field", "Sydney Opera House", "BankUnited Center", "1st Mariner Arena", "Belmore Sports Ground", "Ryan Center", "Palais des congrès de Paris", "Enmore Theatre", "Point Theatre", "Littlejohn Coliseum", "Bankers Life Fieldhouse", "Washington Avenue Armory", "Silverdome", "Estádio do Dragão", "Medicine Hat Arena", "Compuware Arena", "Ethias Arena", "Robins Center", "Wells Fargo Arena", "Rod Laver Arena", "Kampa-Halle", "Intrust Bank Arena", "Jay Pritzker Pavilion", "Town Hall", "Dorton Arena", "UNI-Dome", "Wagner Noel Performing Arts Center", "Estadio Ciudad de La Plata", "Chesapeake Energy Arena", "Worthington Arena", "Bridgewater Hall, Manchester", "Villa Park", "Nippon Budokan", "East End Park", "Stan Sheriff Center", "Indiana University Auditorium", "Webster Bank Arena", "Wembley Stadium", "Palace Theatre", "United Center", "Commonwealth Stadium", "Teatro degli Arcimboldi" ], "function": ">", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 > 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000200, "question": "which venues can seat more than 1417 people?", "answer": [ "Rice Stadium", "Warner Theatre", "Javelina Stadium", "Fox Theatre", "Papa John's Cardinal Stadium", "Durham Performing Arts Center", "Westfalenstadion", "Crystal Palace National Sports Centre", "Harvard Stadium", "Grand Ole Opry", "Eden Park", "Towson Center", "Gersten Pavilion", "BMO Harris Bank Center", "König Pilsener Arena", "Carrier Dome", "Kinnick Stadium", "Luna Park, Buenos Aires", "Symphony Hall", "El Sadar Stadium", "The Sage Gateshead", "Norfolk Scope Arena", "Iberostar Stadium", "Consol Energy Center", "The Oval", "Olympic Stadium", "Avery Fisher Hall", "London Velopark", "MetLife Stadium", "Boston Garden", "Fox Theatre", "Greensboro Coliseum Complex", "North Harbour Stadium", "Androscoggin Bank Colisée", "Hubert H. Humphrey Metrodome", "Peden Stadium", "Franklin Field", "GelreDome", "U.S. Cellular Coliseum", "Lucas Oil Stadium", "John E. Worthen Arena", "Elispace", "Ivor Wynne Stadium", "Oriole Park at Camden Yards", "Jeld-Wen Field", "Goodman Stadium", "Tennessee Theatre", "Stade Armand Cesari", "The Arches", "Surprise Stadium", "Ted Constant Convocation Center", "Alfond Arena", "John Paul Jones Arena", "Louis Brown Athletic Center", "Packard Stadium", "Romney Stadium", "Ordway Center for the Performing Arts", "Ikast-Brande Arena", "Rose Bowl", "Convocation Center", "Liacouras Center", "Town Toyota Center", "Pavilion Theatre", "Lakewood Church Central Campus", "The Orbit Room", "Jim Patterson Stadium", "Stadio Artemio Franchi – Montepaschi Arena", "PPL Park", "Reser Stadium", "ABB Arena Syd", "Star Plaza Theatre", "ENMAX Centre", "Preußenstadion", "Marquis Theatre", "Ahmanson Theatre", "Edward Jones Dome", "Tynecastle Stadium", "Palais Theatre", "Stadio San Paolo", "Wells Fargo Arena", "Hanns-Martin-Schleyer-Halle", "Neyland Stadium", "Estadio José María Bértora", "Norva Theatre", "Soldiers and Sailors Memorial Auditorium", "Goggin Ice Arena", "Comcast Center", "Roxy Theatre", "War Memorial Stadium", "Auditorium Parco della Musica", "Jack Trice Stadium", "Foreman Field", "The Shay", "Robina Stadium", "Washington–Grizzly Stadium", "Seminole Hard Rock Hotel and Casino Hollywood", "Credit Union Centre", "Gachibowli Indoor Stadium", "Stade de Gerland", "Birmingham Hippodrome", "North Shore Music Theatre", "Soccer City", "Roberts Municipal Stadium", "Falkirk Stadium", "KSU Convocation Center", "Duluth Entertainment Convention Center", "Murrayfield Ice Rink", "North Charleston Coliseum", "Mayo Civic Center", "Old Trafford Cricket Ground", "Ferrell Center", "KFC Yum! Center", "Chester Fritz Auditorium", "Granada Theater", "White Hart Lane", "Cape Town Stadium", "Harry A. Gampel Pavilion", "Bright House Networks Stadium", "Thani bin Jassim Stadium", "Odyssey Arena", "Kyle Field", "Centre In The Square", "Rogers Arena", "Kay Bailey Hutchison Convention Center", "Wembley Arena", "Tampa Stadium", "Apollo Theater", "Peabody Opera House", "Selhurst Park", "St Andrew's", "Spartan Stadium", "Gaillard Municipal Auditorium", "Juventus Stadium", "Magness Arena", "Wiener Musikverein", "Newcastle Entertainment Centre", "Stade Auguste Bonal", "Opéra Bastille", "Comédie-Française", "Spreckels Theater", "Patriot Center", "Regent Theatre, Dunedin", "Matthews Arena", "Olympic Stadium", "Principal Park", "Western Hall", "Arlington Stadium", "Alerus Center", "I Wireless Center", "Stadium Australia", "Maverik Center", "Braly Municipal Stadium", "James A. Rhodes Arena", "Fatorda Stadium", "Bowers Stadium", "UNF Arena", "RiverCenter for the Performing Arts", "Alamo Stadium", "Elland Road", "Donald L. Tucker Center", "The Time Warner Cable Arena", "Canberra Stadium", "Williams-Brice Stadium", "Adler Theatre", "Rhein-Neckar Arena", "State Theatre", "Lambeau Field", "Benteler Arena", "U.S. Cellular Field", "Veterans Stadium", "Hammerstein Ballroom", "American Airlines Arena", "Le Grand Rex", "Colston Hall", "Parc des Sports", "Auditorium-Orchestre National de Lyon", "Al-Hamadaniah Stadium", "Bud Walton Arena", "Bondi Beach", "Heinz Field", "Laredo Energy Arena", "Old Trafford", "First Arena", "Zénith de Strasbourg", "Pitt Stadium", "Racquet Club of Memphis", "Melching Field at Conrad Park", "Hobby Center for the Performing Arts", "Miami Orange Bowl", "MGM Grand Garden Arena", "Minute Maid Park", "Palace Theatre", "Busch Stadium", "Green Point Stadium", "1stBank Center", "Ricoh Coliseum", "Auditorio Telmex", "Verizon Wireless Amphitheatre", "Teatro alla Scala", "Vicente Calderón Stadium", "Palau Sant Jordi", "Boone Pickens Stadium", "Barclays Center", "The Valley", "Reno Events Center", "El Paso County Coliseum", "Apollo Theater", "Gill Coliseum", "Kidd Brewer Stadium", "Al-Aqsa Mosque", "FedExForum", "Mile One Centre", "National Stadium, Bukit Jalil", "Southampton Guildhall", "Carrara Stadium", "Esprit Arena", "Ericsson Globe", "Spartak Stadium", "Bellerive Oval", "Shea's Performing Arts Center", "Prospera Place", "Hyde Park Picture House, Leeds", "Jalan Besar Stadium", "The Joint", "Tate Rink", "Chesapeake Energy Arena", "Frankfurter Volksbank Stadion", "Pershing Center", "Municipal Auditorium", "Estádio José Alvalade", "Madejski Stadium", "Osaka Dome", "ShoWare Center", "Allphones Arena", "Orpheum Theatre", "Stadio Ennio Tardini", "Darrell K Royal–Texas Memorial Stadium", "Holy Name Cathedral, Chicago", "Citi Performing Arts Center", "Chicago Stadium", "Georgia Dome", "Alabama Theatre", "Amon G. Carter Stadium", "Wales Millennium Centre", "PalaLottomatica", "Tatran Handball Arena", "Proctors", "Budweiser Gardens", "The Bell Auditorium", "Stade Marcel Picot", "Teatro degli Arcimboldi", "Redondo Beach Performing Arts Center", "McArthur Court", "McCoy Stadium", "Canton Memorial Civic Center", "AT&T Center", "Westpac Stadium", "Stadio Renato Dall'Ara", "Honda Center", "Abbotsford Entertainment & Sports Centre", "Antarès", "Luis Conde Arena", "Carnesecca Arena", "National Indoor Arena", "Dominion Theatre", "Riverfront Stadium", "Zellerbach Hall", "Coors Field", "Zenith Arena", "Comerica Park", "National Hockey Stadium", "Bartow Arena", "Methodist Central Hall Westminster", "Liberty Bank Stadium", "Wortham Theater Center", "Bobby Dodd Stadium", "Mackey Arena", "Tulalip Resort Casino", "Kress Events Center", "Pantages Theatre", "Bill Graham Civic Auditorium", "Owensboro Sports Center", "Estadio Tetelo Vargas", "Walt Disney Concert Hall", "Stadio Olimpico", "Bryce Jordan Center", "Angel Stadium of Anaheim", "Bojangles' Coliseum", "Agora Theatre and Ballroom", "Estádio do Bessa", "Lahaina Civic Center", "Savoy Cinema", "Moses Mabhida Stadium", "Brooklyn Academy of Music", "Mahalia Jackson Theater of the Performing Arts", "Stockholm Olympic Stadium", "National Ice Centre", "Fargodome", "St. James Theatre, Wellington", "Estadio Riazor", "Palais Garnier", "Underhill Stadium", "Hallenstadion", "Beijing National Aquatics Center", "The Egg", "Dow Event Center", "Salem Civic Center", "Citizens Bank Park", "Auditorio Banamex", "Columbiahalle", "Her Majesty's Theatre, Melbourne", "Perth Arena", "Benjamin and Marian Schuster Performing Arts Center", "The Lowry", "Comcast Center", "Donald W. Reynolds Razorback Stadium", "Charles Koch Arena", "Percival Molson Memorial Stadium", "Pepsi Center", "Asim Ferhatović Hase Stadium", "Orpheum Theatre", "Tad Gormley Stadium", "The Broadway Theatre", "Teatro dell'Opera di Roma", "Massey Hall", "Salt Lake Stadium", "Family Arena", "Rexall Place", "Toyota Park", "EnergySolutions Arena", "Sacramento Convention Center Complex", "Kauffman Stadium", "Cliffs Pavilion", "Docklands Stadium", "National Auditorium", "Palace Theatre, Melbourne", "American Music Theatre", "Estadio Universitario", "De Grolsch Veste", "Bass Performance Hall", "Salle Wilfrid-Pelletier, Montreal", "Theodoros Kolokotronis Stadium", "Estadio Cubierto Newell's Old Boys", "Whistler Olympic Park", "Smart Araneta Coliseum", "The Dome Leisure Centre", "Lander's Center", "Charles C. Hughes Stadium", "Chase Field", "Pioneer Center for the Performing Arts", "Megasport Arena", "Peabody Auditorium", "Bridgestone Arena", "Clyde Auditorium", "Bridgeforth Stadium and Zane Showker Field", "AWD Hall", "De Doelen", "Huntington Avenue Grounds", "Wells Fargo Center", "E Werk", "Popejoy Hall", "Red Rocks Amphitheatre", "Cam Henderson Center", "Sun Devil Stadium", "Kiel Auditorium", "State Theatre", "Sanford Stadium", "Save Mart Center", "Palais des congrès de Paris", "Sioux Falls Arena", "Yubileyny Sports Palace", "Stadium Municipal", "Riverside Stadium", "Hillsborough Stadium", "Tulane Stadium", "The Lighthouse", "Singapore Indoor Stadium", "Edgbaston Cricket Ground", "Anoeta Stadium", "Stuart C. Siegel Center", "Brandt Centre", "Krannert Center for the Performing Arts", "Indiana University Auditorium", "Stamford Bridge", "Martin Stadium", "Nokia Theatre L.A. Live", "Royal Theatre Carré", "Kampa-Halle", "Dahlberg Arena", "Five Flags Center", "Sleep Train Amphitheatre", "Niaz Stadium", "Saoud bin Abdulrahman Stadium", "Rittal Arena Wetzlar", "Oslo Opera House", "Jon M. Huntsman Center", "Stade de la Route de Lorient", "Rialto Theatre", "Madison Square Garden", "HP Pavilion at San Jose", "Deltaplex Arena & Conference Center", "Eden Gardens", "Ebbets Field", "Stade Francis-Le Blé", "Hofheinz Pavilion", "National Auditorium of Music", "Maui Arts & Cultural Center", "Izod Center", "Donau Arena", "Bob Devaney Sports Center", "Sullivan Athletic Center", "TD Bank Garden", "Oakland-Alameda County Coliseum", "State Farm Center", "Loftus Road", "New Orleans Arena", "The Bank of Kentucky Center", "Adriatic Arena", "Ullevi", "Reebok Stadium", "Bangalore Football Stadium", "Huntington Center", "Ibrox Stadium", "Robert F. Kennedy Memorial Stadium", "Ladd Peebles Stadium", "Hershey Centre", "Peace and Friendship Stadium", "Millerntor-Stadion", "Nelson W. Wolff Municipal Stadium", "Landmark Theatre", "Gaylord Family Oklahoma Memorial Stadium", "Yale Bowl", "McKenzie Arena", "Mohegan Sun Arena at Casey Plaza", "Estadio Ciudad de Santiago del Estero", "Campo de Fútbol de Vallecas", "Philips Arena", "Fillmore Auditorium", "Michie Stadium", "Calvin Gilmore Theater", "Scotiabank Place", "Mackay Stadium", "Le Transbordeur", "Frank Erwin Center", "Coronado Performing Arts Center", "Valley View Casino Center", "Grand Lake Theater", "Melbourne Multi Purpose Venue", "Orange County Convention Center", "Miller Park", "The O2", "Lloyd Noble Center", "Stan Sheriff Center", "Flens-Arena", "Anhalt Arena", "Dunkin' Donuts Center", "Bushnell Center for the Performing Arts", "Air Canada Centre", "Quicken Loans Arena", "Estadio Olímpico Andrés Quintana Roo", "Mosaic Place", "Shakespeare's Globe", "Saratoga Performing Arts Center", "Wembley Stadium", "Verizon Center", "Motorpoint Arena Cardiff", "Viaero Event Center", "Sleep Train Arena", "Princess Theatre, Torquay", "Comcast Arena", "Challenge Stadium", "City National Grove of Anaheim", "Lawson Arena", "Kohl Center", "Stanford Stadium", "Glens Falls Civic Center", "Broome County Veterans Memorial Arena", "Aggie Stadium", "Frost Arena", "Spartan Stadium", "Cardiff Arena", "BancorpSouth Arena", "Huish Park", "The Palace of Auburn Hills", "Summum", "Joseph P. Riley, Jr. Park", "İzmir Atatürk Stadium", "Rose Garden", "Jenny Craig Pavilion", "Petersen Events Center", "Estadio de Béisbol Monterrey", "U.S. Bank Arena", "Eastern Kentucky Expo Center", "Usher Hall, Edinburgh", "Sun Life Stadium", "Tiger Stadium", "O2 Academy Liverpool", "Swedbank Park", "Agganis Arena", "Stadthalle Graz", "Intrust Bank Arena", "HK Arena", "Great American Ball Park", "Bankers Life Fieldhouse", "Sudbury Community Arena", "Littlejohn Coliseum", "Kingfield Stadium", "Lyric Theatre, Sydney", "Qualcomm Stadium", "Ice Palace \"Ural Lightning\"", "Coors Events Center", "Shanghai Stadium", "Sanford Center", "London Astoria", "Notre Dame Stadium", "Richmond Coliseum", "Theater des Westens", "National Aquatic Centre", "Orpheum", "Estadio José Jorge Conte", "The Muny", "Maple Leaf Gardens", "State Theatre", "Wagner Noel Performing Arts Center", "Minskoff Theatre", "Dee Events Center", "The Louisville Palace", "Columbus Crew Stadium", "York Park", "Arrowhead Stadium", "BI-LO Center", "Estadio Benito Villamarín", "Scottrade Center", "PNC Arena", "Pellissier Building and Wiltern Theatre", "Foro Sol", "Riviera Theatre", "AT&T Park", "Donbass Arena", "Wolstein Center", "Reitz Arena", "Medicine Hat Arena", "Cintas Center", "Eisstadion Weißwasser", "Majestic Theater", "San Diego Civic Theatre", "Rose Bowl", "Thompson–Boling Arena", "Eriksdalshallen", "Olympia Ice Center", "Bobcat Stadium", "Shotwell Stadium", "New Amsterdam Theatre", "Tower Theater", "Oracle Arena", "Camelback Ranch", "High Point Solutions Stadium", "Reliant Astrodome", "Sony Centre for the Performing Arts", "Winnipeg Arena", "Riverbend Music Center", "Fox Theatre", "Shrine Auditorium", "Fife Ice Arena", "Mississippi Coliseum", "San Francisco Airport Marriott Waterfront", "Stadio Alberto Braglia", "XL Center", "The Helix", "Osceola County Stadium", "Boardwalk Hall", "Kitchener Memorial Auditorium Complex", "Lyric Opera House", "Barabati Stadium", "Palace Theatre", "New York Hippodrome", "HoHoKam Stadium", "Prudential Center", "Van Andel Arena", "New I-Mobile Stadium", "Rupp Arena", "Edmund P. Joyce Center", "Rangers Ballpark in Arlington", "Legion Field", "1st Mariner Arena", "Vancouver Forum", "Estadio Fortunato Bonelli", "Molineux Stadium", "Hearst Greek Theatre", "Estadio De Béisbol Héctor Espino", "Nassau Veterans Memorial Coliseum", "Enmore Theatre", "Husky Stadium", "Estadio Racing Club", "Rod Laver Arena", "Hi Corbett Field", "Estadio Julio Humberto Grondona", "Hill 16", "Orpheum Theatre", "M&T Bank Stadium", "Sun National Bank Center", "East Fremantle Oval", "Williams Arena", "Love Street", "Phoenix Municipal Stadium", "Roy Wilkins Auditorium", "DCU Center", "Kibbie Dome", "Regent Theatre", "Ninian Park", "Bill Snyder Family Football Stadium", "MDCC-Arena", "Viejas Arena", "BC Place", "Víctor Jara Stadium", "Tacoma Dome", "Munn Ice Arena", "Stechert Arena", "FIU Stadium", "TipsArena", "Benedum Center", "Oakdale Theatre", "United Spirit Arena", "EverBank Field", "Teatro Colón, Buenos Aires", "Cadillac Palace Theatre", "Portsmouth Guildhall", "Fratton Park", "DTE Energy Music Theatre", "Thunder Bay Community Auditorium", "Embassy Theatre", "Amman International Stadium", "Palacio Vistalegre", "Faliro Coastal Zone Olympic Complex", "Bramlage Coliseum", "University at Buffalo Stadium", "Manchester Arena", "Frederiksberghallen", "Nelson Mandela Bay Stadium", "Warner Theatre", "Coliseum Alfonso Pérez", "Chiles Center", "Sears Centre Arena", "Scotiabank Saddledome", "Capitol Theatre", "Chicago Theatre", "Rialto Square Theatre", "Candlestick Park", "Estádio Olímpico João Havelange", "Tampa Bay Times Forum", "Canad Inns Stadium", "Cumberland County Civic Center", "Baum Stadium", "Lynah Rink", "San Jose Center For The Performing Arts", "Thebarton Theatre", "Al Hirschfeld Theatre", "Ralph Engelstad Arena", "Old National Centre", "Knapp Center", "Memorial Stadium", "Theatre Royal, Glasgow", "Louise M. Davies Symphony Hall", "Suncorp Stadium", "Toyota Center", "Barrie Molson Centre", "Bord Gáis Energy Theatre", "New Wimbledon Theatre", "Winter Garden Theatre", "Taft Theatre", "Football Park", "Minneapolis Convention Center", "Grand Olympic Auditorium", "Orpheum Theatre", "London Palladium", "Paul E. Tsongas Center at UMass Lowell", "Koning Willem II Stadion", "Verizon Wireless Arena", "Independence Stadium", "Volkswagen Arena", "Silverdome", "University of Phoenix Stadium", "Weserstadion", "US Airways Center", "Rogers Centre", "Firhill Stadium", "TCF Bank Stadium", "American Bank Center", "Giant Center", "Venue Cymru", "Dean Smith Center", "O2 World", "Chacarita Juniors Stadium", "Morris Performing Arts Center", "Best Buy Theater", "Lyceum Theatre", "Ricoh Arena", "Rabobank Arena", "Veterans Memorial Auditorium", "Winter Gardens, Blackpool", "Mage Solar Stadion", "Charlotte Coliseum", "Waterfront Hall", "Kauffman Center for the Performing Arts", "Royal Melbourne Showgrounds", "Calihan Hall", "U.S. Cellular Center", "Allen Event Center", "Palladium Theater", "Resch Center", "Sydney Opera House", "Estadio Azteca", "Sun Bowl Stadium", "Long Beach Convention and Entertainment Center", "Floyd Casey Stadium", "Echo Arena Liverpool", "State Theatre", "Stade du Moustoir", "Belmore Sports Ground", "Hollywood Bowl", "Hampton Coliseum", "The Music Hall", "Centre Court", "Cole Field House", "Halifax Metro Centre", "Qemal Stafa Stadium", "Michigan Stadium", "Aloha Stadium", "Skelly Field at H. A. Chapman Stadium", "Stroh Center", "Ajinomoto Stadium", "E. A. Diddle Arena", "Progressive Field", "Mile High Stadium", "The Elgin Theatre", "Velodrom", "Hult Center for the Performing Arts", "Bethel Woods Center for the Arts", "Fox Theater Pomona", "Balaídos", "Boston Opera House", "New Theatre Oxford", "Lansdowne Road", "Estadi Olímpic Lluís Companys", "Robinson Center, Little Rock", "Wells Fargo Arena", "Coleman Coliseum", "Stade de France", "Gayfield Park", "Miami Arena", "Congress Theater", "Nationwide Arena", "Veterans Memorial Coliseum", "The Whiting", "Hinkle Fieldhouse", "Arlene Schnitzer Concert Hall, Portland", "Colonial Life Arena", "Wolverhampton Civic Hall", "Paulson Stadium", "Tropicana Field", "Estádio do Dragão", "Pauley Pavilion", "The Gabba", "Doak Field", "Bridgewater Hall, Manchester", "Memorial Stadium", "Denver Coliseum", "Concertgebouw, Amsterdam", "Kelly/Shorts Stadium", "Auburn Arena", "William \"Dick\" Price Stadium", "Memorial Stadium", "Camille Chamoun Sports City Stadium", "Vector Arena", "Curry Hicks Cage", "Ellis Park Stadium", "Estadio Marcelo Bielsa", "Edinburgh Playhouse", "Marin County Civic Center", "De Montfort Hall", "Sleeman Centre", "Broward Center for the Performing Arts", "Marlins Park", "Gigantium", "Saint Paul RiverCentre", "Safeco Field", "East End Park", "Lunt-Fontanne Theatre", "Lone Star Amphitheater", "Worthington Arena", "Moncton Coliseum", "Alumni Stadium", "Estádio do Pacaembu", "Capitol Theatre", "Copps Coliseum", "Community Arts Center", "Gershwin Theatre", "Big Sandy Superstore Arena", "Creighton Orpheum Theater", "United Center", "Carver–Hawkeye Arena", "Capitol Theatre", "Városi Sportcsarnok", "Ryan Center", "Regent Theatre", "Red Bull Arena", "Emens Auditorium, Ball State University", "Wallace Wade Stadium", "Cajundome", "Anfield", "Manchester Central Convention Complex", "Cumberland County Crown Coliseum", "BMO Field", "Rexall Centre", "Sonny Lubick Field at Hughes Stadium", "Brown Stadium", "Jacksonville Veterans Memorial Arena", "Town Hall", "Estádio Vila Capanema", "Conte Forum", "Vikings Stadium", "Melbourne Cricket Ground", "Pennsylvania Convention Center", "Crisler Center", "Gigg Lane", "Lord's Cricket Ground", "New Jersey Performing Arts Center", "Uptown Theater", "Mizzou Arena", "CenturyLink Field", "Reed Arena", "Elliott Hall of Music", "Stadio Antonio Bianco", "Lake Elsinore Diamond", "Princeton University Stadium", "Commerzbank-Arena", "Vaught–Hemingway Stadium", "Rajamangala Stadium", "Petco Park", "City of Manchester Stadium", "PNC Park", "Bristol Hippodrome", "The Home Depot Center", "Daniel–Meyer Coliseum", "Stadion im. Tadeusza Ślusarskiego", "Sam Boyd Stadium", "Allianz Stadium", "Marion Palace Theatre", "UFCU Disch–Falk Field", "Ashton Gate Stadium", "Smith Center for the Performing Arts", "Riverside Theater", "Tiger Stadium", "Taco Bell Arena", "Radio City Music Hall", "Bloomfield Road", "Alpine Valley Music Theatre", "Estadio Monumental Antonio Vespucio Liberti", "Sleuyter Arena", "Tucson Convention Center", "Cheney Stadium", "Meadow Park", "Ponds Forge International Sports Centre", "Maverick Baseball Stadium", "Ulster Performing Arts Center", "CenturyLink Center Omaha", "Majestic Theatre", "Aronoff Center", "Millennium Stadium", "Prince Edward Theatre", "Kimmel Arena", "BMO Harris Bradley Center", "MaxiparkArena", "Lanxess Arena", "Pauley Pavilion", "Pride Park Stadium", "Fifth Third Arena", "Sports Ground, Woodbridge Road, Guildford", "Consol Energy Center", "Mosaic Stadium at Taylor Field", "Clark–LeClair Stadium", "Washington Avenue Armory", "Knoxville Civic Auditorium and Coliseum", "Suheim Bin Hamad Stadium", "War Memorial Auditorium", "Peterborough Memorial Centre", "Whistler Sliding Centre", "Don Haskins Center", "Capitol Theatre, Sydney", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Ems-Hölle", "Cassell Coliseum", "Stadion Oberwerth", "Zénith d'Orléans", "Victoria Hall, Hanley", "Kölner Philharmonie", "Matthew Knight Arena", "Marina Civic Center", "Orpheum Theatre", "Eisarena Salzburg", "Utica Memorial Auditorium", "Lane Stadium", "D.C. Armory", "LDS Conference Center", "The Florida Citrus Bowl Stadium", "Nutter Center", "Alexandra Palace", "World Arena, Colorado Springs", "Robertson Stadium", "Compuware Arena", "Uptown Theatre", "Winthrop Coliseum", "TD Ameritrade Park Omaha", "Commonwealth Stadium", "Pan American Center", "Mitsubishi Electric Halle", "Teatro di San Carlo, Naples", "László Papp Budapest Sports Arena", "Vanderbilt Stadium", "Lotto Arena", "Value City Arena at the Jerome Schottenstein Center", "Gatorade Garden City Complex", "Durham Bulls Athletic Park", "Dale F. Halton Arena", "Glücksgas Stadium", "Festival Hall", "Glasgow Royal Concert Hall", "Pabellón Polideportivo Artaleku", "Marina Bay Sands", "Johnny Unitas Stadium", "Metropolitan Opera House", "Allen County War Memorial Coliseum", "Foxwoods Theatre", "Şükrü Saracoğlu Stadium", "Beaver Stadium", "Anaheim Convention Center", "Phoenix Symphony Hall", "Tannadice Park", "Hagan Arena", "Motorpoint Arena Sheffield", "Amway Arena", "Maples Pavilion", "Dom Sportova", "Brisbane Entertainment Centre", "Manchester Central Convention Complex", "Scandinavium", "Cypress Mountain Ski Area", "Four Seasons Centre for the Performing Arts", "K-Rock Centre", "Save-On-Foods Memorial Centre", "Susquehanna Bank Center", "Wrigley Field", "Ewood Park", "La Romareda", "Blue Cross Arena", "Brighton Centre", "Vancouver Convention Centre", "King Power Stadium", "Vienna State Opera", "Fisher Field", "Arsenal Stadium", "JQH Arena", "Jones AT&T Stadium", "Mid-America Center", "BB&T Center", "Hofburg Palace", "Galen Center", "Dolby Theatre", "New World Stages", "Keller Auditorium", "Palais Omnisports de Paris-Bercy", "Palace Theatre, Manchester", "Rentschler Field", "Los Angeles Theatre", "Amsterdam Arena", "Rimrock Auto Arena at MetraPark", "Beijing National Aquatics Center", "Alex Box Stadium/Skip Bertman Field", "Bramall Lane", "Astana Arena", "William D. Mullins Memorial Center", "Wings Stadium", "Byrd Stadium", "Eintracht-Stadion", "Perth Concert Hall", "Los Angeles Memorial Coliseum", "Max-Schmeling-Halle", "Roundhouse", "Estadio El Madrigal", "Robins Center", "BJK İnönü Stadium", "The Centre", "Symphony Hall, Birmingham", "Abe Lenstra Stadion", "Wellmont Theatre", "Andrew Jackson Hall", "The Den", "FirstEnergy Stadium", "Alaska Airlines Arena at Hec Edmundson Pavilion", "U.S. Cellular Arena", "Los Angeles Memorial Sports Arena", "Webster Bank Arena", "Aggie Stadium", "Newcastle City Hall", "Memorial Gymnasium", "Palladium Ballroom", "St David's Hall", "Fir Park", "Estadio Ciudad de La Plata", "Cowboys Stadium", "Cobb Energy Performing Arts Centre", "McMahon Stadium", "Esplanade - Theatres on the Bay, Singapore", "Covelli Centre", "Stade Geoffroy-Guichard", "Ottawa Convention Centre", "Cícero Pompeu de Toledo Stadium", "Celebrity Theatre", "Alamodome", "The Forum", "Yakima SunDome", "Chrysler Hall", "O2 Academy Glasgow", "Assembly Hall", "Amway Center", "Busch Memorial Stadium", "Palestra", "Heartland Events Center", "Cameron Stadium", "HR Commitment Arena", "Olympic Stadium Munich", "Achilles Rink", "Kezar Stadium", "Sullivan Arena", "Deva Stadium", "W. L. Zorn Arena", "Stanley Park Stadium", "Point Theatre", "Jiffy Lube Live", "AT&T Performing Arts Center", "Thomas & Mack Center", "Chavez Theatre", "Cleveland Stadium", "Kingsmeadow", "Germain Arena", "CenturyLink Center", "Crystal Cathedral", "Mariucci Arena", "Stadthalle Hagen", "Camp Randall Stadium", "Pacific Coliseum", "Waldo Stadium", "Santiago Bernabéu Stadium", "Congress Theatre", "ARCO Arena I", "Goodison Park", "Credicard Hall", "Pete Maravich Assembly Center", "Cobo Center", "The Times Union Center", "Nippon Budokan", "Memorial Stadium, Lincoln", "Kenan Memorial Stadium", "UNI-Dome", "Stranahan Theater", "New Road, Worcester", "New York City Center", "Wicomico Youth and Civic Center", "Princess Theatre, Melbourne", "Red Star Stadium", "Bell Centre", "Ross–Ade Stadium", "National Theatre", "Subiaco Oval", "Saitama Super Arena", "WACA Ground", "Jay Pritzker Pavilion", "Rugby Park", "Verizon Arena", "HMV Forum", "Metro Radio Arena", "Theatre Royal, Drury Lane", "Hampden Park", "Stadion der Freundschaft", "Holt Arena", "Soldier Field", "Peter Mokaba Stadium", "Davis Wade Stadium", "The Pit", "Memorial Stadium, Clemson", "Giants Stadium", "Turner Field", "Ralph Engelstad Arena", "Dorton Arena", "Atletion", "Queen Elizabeth Theatre", "Roanoke Civic Center", "RCA Dome", "Hard Rock Hotel and Casino", "Mohegan Sun Arena", "Orleans Arena", "OlympiaWorld Innsbruck", "Pharr International Convention Center", "Nationals Park", "Sports Authority Field at Mile High", "Dodger Stadium", "Estádio do Maracanã", "Estadio Alberto J. Armando", "National Concert Hall, Dublin", "Charleston Civic Center", "Twickenham Stadium", "Welsh-Ryan Arena", "Fenway Park", "Tokyo Dome", "Olympic Stadium", "Nikon at Jones Beach Theater", "Pensacola Civic Center", "Royal Agricultural Hall", "Tilles Center for the Performing Arts", "Western Springs Stadium", "Churchill Downs", "Stade Sébastien Charléty", "Loftus Versfeld Stadium", "Schermerhorn Symphony Center", "Forrest Theatre", "AWD-Arena", "Somerset Park", "BankUnited Center", "Gallagher-Iba Arena", "Gerry Weber Stadion", "Alex G. Spanos Center", "Richard E. Berry Educational Support Center", "Gerald J. Ford Stadium", "Jordan–Hare Stadium", "Gibson Amphitheatre", "Verizon Wireless Amphitheater", "Centennial Concert Hall, Winnipeg", "Foxboro Stadium", "Sandia Resort and Casino", "Bob Carpenter Center", "Columbus Civic Center", "Gachibowli Athletic Stadium", "Yokohama Arena", "Lawrence Joel Veterans Memorial Coliseum", "Molson Canadian Amphitheatre", "Easter Road", "Breslin Student Events Center", "Villa Park", "The Centre In Vancouver for Performing Arts", "Ussishkin", "Cheltenham Racecourse", "National Arts Centre, Ottawa", "Independence Events Center", "Boleyn Ground", "WVU Coliseum", "Akoo Theatre at Rosemont", "River Center Arena", "Grand Theatre, Leeds", "Estadio de La Cartuja", "Lawlor Events Center", "MTS Centre", "McDiarmid Park", "Verizon Theatre at Grand Prairie", "Event Center Arena", "Doug Mitchell Thunderbird Sports Centre", "Hartwall Areena", "Target Center", "Scheels Arena", "Alabama Theatre", "Jobing.com Arena", "Nuremberg Arena", "Beacon Theatre, New York", "United Palace Theater", "Budweiser Events Center", "Commonwealth Stadium", "Grugahalle", "Doak Campbell Stadium", "Manchester Opera House", "Stabler Arena", "Pittodrie Stadium", "Majestic Theatre", "Ed Mirvish Theatre", "Gold Coast Convention and Exhibition Centre", "Stade de la Mosson", "Swayze Field", "Futurist Theatre", "St James' Park", "Bryant–Denny Stadium", "Marriott Center", "Volleyball Sportiv Complex", "Yost Ice Arena", "GCS Ballpark", "Fox Theater", "Whittemore Center", "Harbour Station", "Gaiety Theatre, Dublin", "Regent Theatre, Melbourne", "EWE Arena", "Headingley Stadium", "Nippert Stadium", "Daytona International Speedway", "Camp Nou", "Paul Brown Stadium", "Admiralspalast", "Conexus Arts Centre", "Jorgensen Center for the Performing Arts", "Perth Oval", "Ford Field", "Ryan Field", "Cox Convention Center", "Scott Stadium", "Sunderland Empire Theatre", "Count Basie Theatre", "Detroit Opera House", "Citi Field", "Florence Civic Center", "American Airlines Center", "INB Performing Arts Center", "Apollo Victoria Theatre", "Shoreline Amphitheatre", "Nashville Municipal Auditorium", "Nya Parken", "Paramount Theatre", "Chaifetz Arena", "Sadler's Wells Theatre", "Bahrain National Stadium", "Sleep Train Pavilion", "Craven Cottage", "Carlson Center", "Pavilion Theatre", "King's Theatre, Glasgow", "USF Sun Dome", "Beijing National Stadium", "Victoria Palace Theatre", "BOK Center", "Stadio Artemio Franchi", "Sydney Entertainment Centre", "Griffin Park", "DakotaDome", "Arena Theatre", "UIC Pavilion", "University of Dayton Arena", "Bronco Stadium", "Hokkaido Prefectural Sports Center", "Spiroudome", "Arizona Stadium", "Freedom Hall", "Royal Festival Hall", "Austin Convention Center", "Croke Park", "Aviva Stadium", "Durham County Stadium", "Cajun Field", "Putra Indoor Stadium", "Estadio Nuevo José Zorrilla", "Morton H. Meyerson Symphony Center, Dallas", "War Memorial Stadium", "Carnie Smith Stadium", "PNC Bank Arts Center", "Show Me Center", "5th Avenue Theatre", "BayArena", "O2 World", "Carter–Finley Stadium", "Reliant Stadium", "Olsen Field at Blue Bell Park", "Tyson Events Center", "Sovereign Center", "CFSB Center", "Tonhalle", "Staples Center", "Majestic Theatre", "FedExField", "Folsom Field", "Allen Fieldhouse", "Liberty Stadium", "Cameron Indoor Stadium", "The Fillmore Detroit", "Centennial Stadium", "Kitchener Memorial Auditorium", "Palace Theatre", "LaVell Edwards Stadium", "Curb Event Center", "KC Stadium", "Mercedes-Benz Superdome", "Arena Nova", "Twickenham Stoop", "David A. Straz Jr. Center for the Performing Arts", "Kombank Arena", "Royal Opera House, London", "Hammersmith Palais", "Braehead Arena", "Emirates Stadium", "Stade du Hameau", "Sawyer Center", "Mediolanum Forum", "The O2 Arena", "Rhodes Stadium", "Estadio Nuevo Los Cármenes", "Von Braun Center", "London Coliseum", "Central Park, Cowdenbeath", "Reynolds Coliseum", "Bank of America Stadium", "First Niagara Center", "Academy of Music", "Charles E. Smith Athletic Center", "Veltins-Arena", "Raleigh Convention Center", "Harris Theater", "Ottawa Auditorium", "Arena do Grêmio", "Cotton Bowl", "Stadion An der Alten Försterei", "Olympia Bruno Coquatrix", "Cow Palace", "Richmond Olympic Oval", "Ottawa Civic Centre", "Lakefront Arena", "Memorial Stadium", "Palau d'Esports de Granollers", "UCF Arena", "Cannon Center-Performing Arts", "Cedar Park Center", "Miami Beach Convention Center", "Saban Theatre", "Stadio Giovanni Zini", "Stade Vélodrome", "Auckland Civic Theatre", "Sydney Cricket Ground", "Tokyo Dome City", "Toyota Stadium", "Cricket Wireless Amphitheatre", "EnergyAustralia Stadium", "Yankee Stadium", "Estadi Ciutat de València", "Hanover Theatre for the Performing Arts", "Sprint Center", "The Hawthorns", "General Motors Centre", "Stadio Renato Curi", "Gillette Stadium", "Falcon Stadium", "KeyArena", "TD Waterhouse Stadium", "Edinburgh Festival Theatre", "Hill Auditorium", "MacInnes Student Ice Arena", "Swedbank Stadion", "Wiener Stadthalle Hall D", "Goss Stadium at Coleman Field", "Ohio Stadium", "Hampton Convocation Center", "Cowtown Coliseum", "Princess of Wales Theatre", "Toyota Center", "Haas Pavilion", "FC Dallas Stadium", "MassMutual Center", "Montgomery Performing Arts Centre", "Comanche County Fairgrounds", "Hancock Stadium", "Beethovenhalle", "Morrison Center", "Metalist Oblast Sports Complex", "Stadium of Light", "Salt River Fields at Talking Stick", "Stadio Olimpico di Torino", "Kungliga tennishallen", "Charline McCombs Empire Theatre", "Winspear Opera House, Dallas", "Vines Center", "AFAS Stadion", "California Memorial Stadium", "Hilton Coliseum", "Vicarage Road", "Civic Arena", "Royal Bafokeng Stadium", "Penydarren Park", "Eastman Theatre", "Miller Outdoor Theatre", "Polideportivo Islas Malvinas", "Olympic Stadium", "McKale Center", "Plymouth Pavilions", "Sparkassen-Erzgebirgsstadion", "Adelaide Oval", "The Pavilion", "Ferguson Center for the Arts", "Red Rock Resort Spa and Casino", "Comerica Theatre", "San Siro Stadium", "Peoria Civic Center", "Xcel Energy Center", "Wembley Stadium", "Cambria County War Memorial Arena", "Råsunda Stadium", "Tuacahn", "WesBanco Arena", "Estádio da Luz", "Victoria Theatre", "Moody Coliseum", "Buck Shaw Stadium", "Ralph Wilson Stadium", "O'Connell Center", "Raymond James Stadium", "Ford Center", "The Concert Hall in Aarhus", "Mountaineer Field at Milan Puskar Stadium", "Go Dau Stadium", "FAU Stadium", "Joe Louis Arena", "Tampereen jäähalli", "Wang Theatre", "Palais des Sports", "Ben Hill Griffin Stadium", "Tad Smith Coliseum", "Salvus-Stadion am Grevener Damm", "Shea Stadium", "Arena di Verona", "SIU Arena", "Allianz Arena", "Dowdy–Ficklen Stadium", "Faurot Field", "Cruzan Amphitheatre", "Palaran Stadium", "Kemper Arena", "Empire, Leicester Square", "Stockton Arena", "LP Field", "Spokane Veterans Memorial Arena", "Allstate Arena", "Yankee Stadium", "Carter Barron Amphitheatre", "Coface Arena", "Sheikh Khalifa International Stadium", "The Coronet", "Liberty Bowl Memorial Stadium", "Strahan Coliseum", "Stadio delle Alpi", "Redbird Arena", "Birmingham–Jefferson Convention Complex", "Neil Simon Theatre", "TSB Bank Arena", "Lincoln Financial Field", "Adelphi Theatre", "Lipperlandhalle", "Expo Square Pavilion", "Liverpool Empire Theatre", "Mestalla Stadium", "Rio Tinto Stadium", "Texas Stadium", "O2 Arena", "Three Rivers Stadium", "Türk Telekom Arena", "Autzen Stadium", "Arena at Gwinnett Center", "BB&T Field", "Cedar Rapids Ice Arena", "Savannah Civic Center", "Oslo Spektrum", "Philips Stadion", "Dvorana Mirza Delibašić", "Britannia Stadium", "Cynthia Woods Mitchell Pavilion", "Wankhede Stadium", "Golden Gate Theatre", "Teatro Real, Madrid", "John F. Kennedy Stadium", "Rec Hall", "Ethias Arena", "Rice-Eccles Stadium", "Thomas Wolfe Auditorium", "St. Augustine Amphitheatre", "Target Field", "Celtic Park", "Citizens Business Bank Arena", "Jazz at Lincoln Center" ], "function": ">", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 > 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000300, "question": "find venues with a seating capacity larger than 1417.", "answer": [ "Richmond Olympic Oval", "Reynolds Coliseum", "5th Avenue Theatre", "Churchill Downs", "Swayze Field", "Griffin Park", "Keller Auditorium", "Regent Theatre", "Stade du Hameau", "Robina Stadium", "Lakefront Arena", "Falcon Stadium", "William \"Dick\" Price Stadium", "Allen Fieldhouse", "Comcast Arena", "Seminole Hard Rock Hotel and Casino Hollywood", "Stadion der Freundschaft", "Pete Maravich Assembly Center", "Raymond James Stadium", "Stadio Artemio Franchi", "Ford Center", "Dunkin' Donuts Center", "Ebbets Field", "Cajundome", "Avery Fisher Hall", "Sadler's Wells Theatre", "Maui Arts & Cultural Center", "Achilles Rink", "Perth Oval", "Stanley Park Stadium", "O2 Academy Glasgow", "Assembly Hall", "Capitol Theatre", "Alpine Valley Music Theatre", "National Aquatic Centre", "United Palace Theater", "Millennium Stadium", "Memorial Stadium", "Victoria Palace Theatre", "Scotiabank Saddledome", "Independence Stadium", "Suheim Bin Hamad Stadium", "Estádio do Dragão", "Theatre Royal, Glasgow", "Lahaina Civic Center", "Beethovenhalle", "Richard E. Berry Educational Support Center", "Ralph Engelstad Arena", "Tilles Center for the Performing Arts", "Lawson Arena", "Pitt Stadium", "Royal Agricultural Hall", "Tiger Stadium", "Luna Park, Buenos Aires", "General Motors Centre", "East End Park", "Halifax Metro Centre", "Birmingham Hippodrome", "Hancock Stadium", "Odyssey Arena", "Estadio Riazor", "Ethias Arena", "Royal Festival Hall", "Bill Graham Civic Auditorium", "Donald L. Tucker Center", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Paulson Stadium", "Wang Theatre", "Chester Fritz Auditorium", "Worthington Arena", "Nya Parken", "River Center Arena", "Estadio Universitario", "CenturyLink Center Omaha", "Bord Gáis Energy Theatre", "Sullivan Arena", "Los Angeles Memorial Sports Arena", "Utica Memorial Auditorium", "CenturyLink Center", "Donbass Arena", "Nassau Veterans Memorial Coliseum", "Hill Auditorium", "Louis Brown Athletic Center", "Yale Bowl", "Glasgow Royal Concert Hall", "Chacarita Juniors Stadium", "Kiel Auditorium", "Convocation Center", "Santiago Bernabéu Stadium", "Portsmouth Guildhall", "Chicago Stadium", "Popejoy Hall", "Reliant Astrodome", "Hartwall Areena", "Gill Coliseum", "Lakewood Church Central Campus", "Palladium Theater", "Credicard Hall", "De Montfort Hall", "Long Beach Convention and Entertainment Center", "Conte Forum", "Tampa Stadium", "Rec Hall", "Amman International Stadium", "Hard Rock Hotel and Casino", "The O2 Arena", "HK Arena", "The Whiting", "Scott Stadium", "Gold Coast Convention and Exhibition Centre", "Vaught–Hemingway Stadium", "Massey Hall", "Marina Civic Center", "Grand Lake Theater", "Gerald J. Ford Stadium", "BI-LO Center", "Parc des Sports", "Le Transbordeur", "Stade Armand Cesari", "BJK İnönü Stadium", "Loftus Road", "Bahrain National Stadium", "AWD-Arena", "London Palladium", "Palace Theatre, Manchester", "Morris Performing Arts Center", "Dowdy–Ficklen Stadium", "St. James Theatre, Wellington", "War Memorial Stadium", "Vikings Stadium", "The Arches", "Marquis Theatre", "Red Rock Resort Spa and Casino", "Holy Name Cathedral, Chicago", "Warner Theatre", "Lunt-Fontanne Theatre", "Comerica Park", "Chaifetz Arena", "Stockholm Olympic Stadium", "Fargodome", "Hofheinz Pavilion", "Koning Willem II Stadion", "Estadio Marcelo Bielsa", "Hampden Park", "Pennsylvania Convention Center", "Lander's Center", "Ibrox Stadium", "Hinkle Fieldhouse", "Peabody Opera House", "Riviera Theatre", "National Ice Centre", "Nutter Center", "Allen County War Memorial Coliseum", "Symphony Hall", "Sovereign Center", "Stadio Antonio Bianco", "Theater des Westens", "Oracle Arena", "East Fremantle Oval", "Maverick Baseball Stadium", "London Astoria", "Antarès", "Angel Stadium of Anaheim", "WVU Coliseum", "Tucson Convention Center", "Anoeta Stadium", "American Bank Center", "Orpheum Theatre", "The Bell Auditorium", "Camp Nou", "Redbird Arena", "Quicken Loans Arena", "Chiles Center", "Bellerive Oval", "High Point Solutions Stadium", "National Theatre", "JQH Arena", "Olympia Ice Center", "Beacon Theatre, New York", "Boone Pickens Stadium", "Sioux Falls Arena", "O2 Academy Liverpool", "Elliott Hall of Music", "Adler Theatre", "Peace and Friendship Stadium", "TCF Bank Stadium", "The O2", "Vicarage Road", "Bill Snyder Family Football Stadium", "Sony Centre for the Performing Arts", "Gayfield Park", "National Indoor Arena", "TD Bank Garden", "Donau Arena", "Saoud bin Abdulrahman Stadium", "Polideportivo Islas Malvinas", "Mediolanum Forum", "MDCC-Arena", "Volkswagen Arena", "Sleep Train Pavilion", "Kimmel Arena", "Four Seasons Centre for the Performing Arts", "I Wireless Center", "Sparkassen-Erzgebirgsstadion", "Sheikh Khalifa International Stadium", "Cobo Center", "Cumberland County Civic Center", "Wrigley Field", "The Pit", "Hanns-Martin-Schleyer-Halle", "Broward Center for the Performing Arts", "Memorial Gymnasium", "Towson Center", "Roxy Theatre", "Hammerstein Ballroom", "Lloyd Noble Center", "Tad Smith Coliseum", "LaVell Edwards Stadium", "Olympic Stadium", "Teatro di San Carlo, Naples", "Frankfurter Volksbank Stadion", "Tad Gormley Stadium", "HoHoKam Stadium", "Estadio Azteca", "Usher Hall, Edinburgh", "Joseph P. Riley, Jr. Park", "Elispace", "Fratton Park", "Scotiabank Place", "De Grolsch Veste", "Copps Coliseum", "Jones AT&T Stadium", "Percival Molson Memorial Stadium", "Teatro dell'Opera di Roma", "Susquehanna Bank Center", "Jack Trice Stadium", "New York City Center", "Marriott Center", "Petersen Events Center", "Smith Center for the Performing Arts", "Ellis Park Stadium", "Royal Bafokeng Stadium", "Thomas & Mack Center", "Memorial Stadium", "Wembley Stadium", "Bushnell Center for the Performing Arts", "INB Performing Arts Center", "Glücksgas Stadium", "Cricket Wireless Amphitheatre", "Stadion im. Tadeusza Ślusarskiego", "Firhill Stadium", "Nationwide Arena", "Georgia Dome", "Cowtown Coliseum", "Nikon at Jones Beach Theater", "Doak Campbell Stadium", "Bright House Networks Stadium", "Pan American Center", "Savoy Cinema", "Olympic Stadium", "North Shore Music Theatre", "MTS Centre", "Gillette Stadium", "BMO Field", "László Papp Budapest Sports Arena", "Hearst Greek Theatre", "Olympic Stadium", "Cassell Coliseum", "Singapore Indoor Stadium", "Winspear Opera House, Dallas", "Prospera Place", "The Hawthorns", "Ferrell Center", "Putra Indoor Stadium", "Spokane Veterans Memorial Arena", "Alabama Theatre", "Miami Orange Bowl", "Allphones Arena", "Peoria Civic Center", "O2 World", "Raleigh Convention Center", "Hubert H. Humphrey Metrodome", "Summum", "Echo Arena Liverpool", "Pensacola Civic Center", "McMahon Stadium", "Sonny Lubick Field at Hughes Stadium", "Chrysler Hall", "Miller Park", "HP Pavilion at San Jose", "Cruzan Amphitheatre", "König Pilsener Arena", "Victoria Theatre", "Bell Centre", "Somerset Park", "Frank Erwin Center", "Kidd Brewer Stadium", "Pride Park Stadium", "Star Plaza Theatre", "Arrowhead Stadium", "Al-Hamadaniah Stadium", "Saratoga Performing Arts Center", "Dominion Theatre", "Toyota Center", "The Lighthouse", "Benteler Arena", "John E. Worthen Arena", "Rittal Arena Wetzlar", "Verizon Wireless Arena", "Harbour Station", "Wales Millennium Centre", "Rice Stadium", "Dvorana Mirza Delibašić", "Marlins Park", "Lincoln Financial Field", "Kampa-Halle", "Norva Theatre", "Shakespeare's Globe", "CenturyLink Field", "Harry A. Gampel Pavilion", "Oakdale Theatre", "Aggie Stadium", "Jon M. Huntsman Center", "Mackey Arena", "Newcastle City Hall", "Valley View Casino Center", "DTE Energy Music Theatre", "Eisstadion Weißwasser", "Kenan Memorial Stadium", "Atletion", "EnergyAustralia Stadium", "Jeld-Wen Field", "Winter Gardens, Blackpool", "UNI-Dome", "Robinson Center, Little Rock", "Moody Coliseum", "Shea Stadium", "Shrine Auditorium", "Foreman Field", "Majestic Theatre", "Toyota Center", "Lane Stadium", "Spartan Stadium", "Alerus Center", "Alex G. Spanos Center", "Byrd Stadium", "Sun Devil Stadium", "American Airlines Arena", "The Shay", "Five Flags Center", "Comcast Center", "Deltaplex Arena & Conference Center", "Jim Patterson Stadium", "Fox Theatre", "York Park", "Cliffs Pavilion", "Durham Performing Arts Center", "Városi Sportcsarnok", "Hershey Centre", "Stade Vélodrome", "Zénith de Strasbourg", "Greensboro Coliseum Complex", "Fox Theatre", "Auburn Arena", "Dodger Stadium", "Phoenix Municipal Stadium", "United Center", "Wings Stadium", "Kauffman Center for the Performing Arts", "University of Phoenix Stadium", "Hallenstadion", "The Lowry", "Vienna State Opera", "Teatro degli Arcimboldi", "Methodist Central Hall Westminster", "Hanover Theatre for the Performing Arts", "Embassy Theatre", "Nashville Municipal Auditorium", "Bobcat Stadium", "Boston Opera House", "Kauffman Stadium", "Petco Park", "Salt River Fields at Talking Stick", "Pershing Center", "Glens Falls Civic Center", "Stadio Olimpico", "Wellmont Theatre", "Target Field", "Wells Fargo Arena", "Thani bin Jassim Stadium", "Citi Field", "Taco Bell Arena", "Consol Energy Center", "Columbus Civic Center", "Regent Theatre, Dunedin", "The Den", "Edward Jones Dome", "King's Theatre, Glasgow", "Centre In The Square", "Palace Theatre", "Loftus Versfeld Stadium", "Kitchener Memorial Auditorium", "Melching Field at Conrad Park", "Peden Stadium", "Dow Event Center", "Kombank Arena", "Bartow Arena", "Cedar Rapids Ice Arena", "Sunderland Empire Theatre", "Estadio de Béisbol Monterrey", "Tower Theater", "Palais Omnisports de Paris-Bercy", "FirstEnergy Stadium", "Aviva Stadium", "Ninian Park", "Sleep Train Amphitheatre", "Racquet Club of Memphis", "Perth Concert Hall", "Strahan Coliseum", "Los Angeles Theatre", "UIC Pavilion", "Newcastle Entertainment Centre", "Sydney Opera House", "Maverik Center", "Barrie Molson Centre", "Princeton University Stadium", "Waldo Stadium", "Cow Palace", "University of Dayton Arena", "The Helix", "Balaídos", "Ottawa Auditorium", "Teatro Colón, Buenos Aires", "Toyota Park", "Frost Arena", "Kress Events Center", "XL Center", "Galen Center", "Minskoff Theatre", "Palaran Stadium", "İzmir Atatürk Stadium", "Fife Ice Arena", "Goodison Park", "Camp Randall Stadium", "Dean Smith Center", "Cape Town Stadium", "Stadio Giovanni Zini", "The Bank of Kentucky Center", "Sports Ground, Woodbridge Road, Guildford", "Lotto Arena", "Arena at Gwinnett Center", "Rogers Centre", "Eden Gardens", "Gaillard Municipal Auditorium", "Mariucci Arena", "Ullevi", "Staples Center", "Franklin Field", "Heinz Field", "Faliro Coastal Zone Olympic Complex", "Independence Events Center", "Shotwell Stadium", "Estadio Cubierto Newell's Old Boys", "Anaheim Convention Center", "Spiroudome", "Princess Theatre, Torquay", "Orpheum Theatre", "Arsenal Stadium", "Estádio Olímpico João Havelange", "Colonial Life Arena", "TD Ameritrade Park Omaha", "Türk Telekom Arena", "National Concert Hall, Dublin", "Grand Ole Opry", "RiverCenter for the Performing Arts", "Liacouras Center", "La Romareda", "Michigan Stadium", "Rogers Arena", "Millerntor-Stadion", "The Times Union Center", "Regent Theatre", "Goss Stadium at Coleman Field", "Stabler Arena", "US Airways Center", "Stadthalle Graz", "WACA Ground", "Reebok Stadium", "St David's Hall", "Estadio José María Bértora", "Admiralspalast", "Auditorio Banamex", "Stadthalle Hagen", "Osaka Dome", "Rice-Eccles Stadium", "Verizon Center", "Dale F. Halton Arena", "Auditorium Parco della Musica", "Stadio Artemio Franchi – Montepaschi Arena", "Estadio El Madrigal", "Red Bull Arena", "Texas Stadium", "Stadio Olimpico di Torino", "St Andrew's", "New I-Mobile Stadium", "Matthews Arena", "ARCO Arena I", "Boston Garden", "Miller Outdoor Theatre", "Tuacahn", "Comédie-Française", "Von Braun Center", "Ted Constant Convocation Center", "Carver–Hawkeye Arena", "Eden Park", "UNF Arena", "Busch Memorial Stadium", "Stockton Arena", "Salt Lake Stadium", "Penydarren Park", "Camille Chamoun Sports City Stadium", "Bojangles' Coliseum", "Ottawa Convention Centre", "Verizon Wireless Amphitheater", "Prudential Center", "Cypress Mountain Ski Area", "1st Mariner Arena", "Radio City Music Hall", "Shanghai Stadium", "State Farm Center", "Cardiff Arena", "St James' Park", "Dee Events Center", "Waterfront Hall", "Mage Solar Stadion", "Huntington Avenue Grounds", "Adelphi Theatre", "Arlene Schnitzer Concert Hall, Portland", "Regent Theatre, Melbourne", "Amway Arena", "Tonhalle", "Show Me Center", "Cajun Field", "Pepsi Center", "Fir Park", "Bryce Jordan Center", "Molson Canadian Amphitheatre", "Rialto Square Theatre", "Resch Center", "Mountaineer Field at Milan Puskar Stadium", "Stade de la Route de Lorient", "Fox Theatre", "Red Rocks Amphitheatre", "War Memorial Stadium", "Rhodes Stadium", "LDS Conference Center", "Canberra Stadium", "Comcast Center", "Symphony Hall, Birmingham", "Amway Center", "Pittodrie Stadium", "Redondo Beach Performing Arts Center", "Theatre Royal, Drury Lane", "Lawrence Joel Veterans Memorial Coliseum", "Notre Dame Stadium", "Southampton Guildhall", "Spreckels Theater", "Stadio delle Alpi", "Venue Cymru", "Sydney Cricket Ground", "Palais Theatre", "Lyceum Theatre", "Bob Carpenter Center", "San Siro Stadium", "Centre Court", "Germain Arena", "Big Sandy Superstore Arena", "The Music Hall", "Hobby Center for the Performing Arts", "Nelson W. Wolff Municipal Stadium", "Rhein-Neckar Arena", "Riverbend Music Center", "Cícero Pompeu de Toledo Stadium", "Miami Arena", "Al Hirschfeld Theatre", "Rod Laver Arena", "Rabobank Arena", "Marion Palace Theatre", "Doak Field", "Don Haskins Center", "Pavilion Theatre", "Villa Park", "Cam Henderson Center", "Mizzou Arena", "PNC Arena", "Skelly Field at H. A. Chapman Stadium", "Hokkaido Prefectural Sports Center", "Akoo Theatre at Rosemont", "Amsterdam Arena", "Orange County Convention Center", "Liberty Bank Stadium", "Holt Arena", "Vector Arena", "Tennessee Theatre", "Alumni Stadium", "North Charleston Coliseum", "Laredo Energy Arena", "Allstate Arena", "Clark–LeClair Stadium", "The Forum", "Nationals Park", "Hampton Convocation Center", "Bondi Beach", "Mosaic Place", "DCU Center", "Deva Stadium", "King Power Stadium", "Dom Sportova", "London Velopark", "Cleveland Stadium", "D.C. Armory", "Knapp Center", "Lyric Theatre, Sydney", "Swedbank Park", "SIU Arena", "Charlotte Coliseum", "Zenith Arena", "RCA Dome", "Smart Araneta Coliseum", "UCF Arena", "Safeco Field", "Birmingham–Jefferson Convention Complex", "National Hockey Stadium", "ABB Arena Syd", "GCS Ballpark", "Liberty Stadium", "Joe Louis Arena", "Bangalore Football Stadium", "Harvard Stadium", "Cowboys Stadium", "WesBanco Arena", "Amon G. Carter Stadium", "Croke Park", "Williams Arena", "Rexall Centre", "Rose Bowl", "Fisher Field", "Saint Paul RiverCentre", "Comerica Theatre", "Durham County Stadium", "Arena Theatre", "Princess of Wales Theatre", "The Oval", "Western Hall", "Mackay Stadium", "Van Andel Arena", "Fillmore Auditorium", "El Sadar Stadium", "White Hart Lane", "Iberostar Stadium", "Olympic Stadium Munich", "Niaz Stadium", "Rose Garden", "Estadio Tetelo Vargas", "Beijing National Aquatics Center", "AT&T Center", "Jordan–Hare Stadium", "Orleans Arena", "Swedbank Stadion", "Cumberland County Crown Coliseum", "Kibbie Dome", "Pantages Theatre", "Memorial Stadium, Clemson", "Sam Boyd Stadium", "Wiener Stadthalle Hall D", "Austin Convention Center", "Schermerhorn Symphony Center", "Bridgestone Arena", "Cheltenham Racecourse", "Brown Stadium", "The Egg", "Weserstadion", "Orpheum", "Aronoff Center", "Tyson Events Center", "Budweiser Gardens", "Lone Star Amphitheater", "Estadio Benito Villamarín", "Estadio Monumental Antonio Vespucio Liberti", "Bronco Stadium", "Lawlor Events Center", "OlympiaWorld Innsbruck", "Capitol Theatre", "Commonwealth Stadium", "Palau d'Esports de Granollers", "Peabody Auditorium", "Foro Sol", "Docklands Stadium", "Palace Theatre", "Thebarton Theatre", "Cotton Bowl", "Ericsson Globe", "Stade de France", "Soldiers and Sailors Memorial Auditorium", "Cheney Stadium", "Intrust Bank Arena", "Mitsubishi Electric Halle", "Scottrade Center", "Empire, Leicester Square", "Celebrity Theatre", "El Paso County Coliseum", "Majestic Theatre", "Wankhede Stadium", "Vanderbilt Stadium", "Commerzbank-Arena", "Esplanade - Theatres on the Bay, Singapore", "MaxiparkArena", "Ottawa Civic Centre", "Rio Tinto Stadium", "Gigantium", "Izod Center", "Curb Event Center", "Estadio Nuevo José Zorrilla", "Olympic Stadium", "Liverpool Empire Theatre", "Surprise Stadium", "Roanoke Civic Center", "Jobing.com Arena", "Daniel–Meyer Coliseum", "Denver Coliseum", "The Sage Gateshead", "The Centre", "Honda Center", "AWD Hall", "Braehead Arena", "PPL Park", "Huntington Center", "Volleyball Sportiv Complex", "Busch Stadium", "Tiger Stadium", "Salvus-Stadion am Grevener Damm", "Astana Arena", "Best Buy Theater", "Academy of Music", "Tampa Bay Times Forum", "Sanford Stadium", "Charles Koch Arena", "Javelina Stadium", "Manchester Central Convention Complex", "Stadio Renato Curi", "Whistler Olympic Park", "David A. Straz Jr. Center for the Performing Arts", "Ems-Hölle", "Tannadice Park", "Landmark Theatre", "Stanford Stadium", "Mosaic Stadium at Taylor Field", "Stadium Municipal", "Bud Walton Arena", "Yubileyny Sports Palace", "Gachibowli Indoor Stadium", "Cameron Indoor Stadium", "U.S. Cellular Field", "Anfield", "Rexall Place", "AT&T Performing Arts Center", "Westpac Stadium", "Wagner Noel Performing Arts Center", "Bowers Stadium", "Max-Schmeling-Halle", "Kyle Field", "Wallace Wade Stadium", "St. Augustine Amphitheatre", "Olympia Bruno Coquatrix", "Pacific Coliseum", "Wicomico Youth and Civic Center", "Rugby Park", "Old Trafford", "Roy Wilkins Auditorium", "Viejas Arena", "Stade Francis-Le Blé", "Wells Fargo Center", "The Concert Hall in Aarhus", "Civic Arena", "Wolverhampton Civic Hall", "Şükrü Saracoğlu Stadium", "Neil Simon Theatre", "Charleston Civic Center", "Sullivan Athletic Center", "FIU Stadium", "Gaiety Theatre, Dublin", "Estádio Vila Capanema", "Lansdowne Road", "Stuart C. Siegel Center", "The Dome Leisure Centre", "California Memorial Stadium", "Barclays Center", "Esprit Arena", "Stadium of Light", "Carrier Dome", "Tropicana Field", "Eriksdalshallen", "Memorial Stadium", "Arizona Stadium", "EnergySolutions Arena", "Williams-Brice Stadium", "Osceola County Stadium", "Neyland Stadium", "Creighton Orpheum Theater", "Queen Elizabeth Theatre", "Motorpoint Arena Sheffield", "Uptown Theatre", "Ralph Engelstad Arena", "Yankee Stadium", "Auckland Civic Theatre", "Verizon Wireless Amphitheatre", "Metalist Oblast Sports Complex", "HMV Forum", "Fox Theater Pomona", "Dahlberg Arena", "The Muny", "Pavilion Theatre", "Gatorade Garden City Complex", "MetLife Stadium", "Sleuyter Arena", "Theodoros Kolokotronis Stadium", "Opéra Bastille", "ENMAX Centre", "Stadio San Paolo", "Carnie Smith Stadium", "Peter Mokaba Stadium", "Stade de la Mosson", "U.S. Cellular Coliseum", "Centennial Stadium", "Paramount Theatre", "The Pavilion", "Gaylord Family Oklahoma Memorial Stadium", "Selhurst Park", "Bethel Woods Center for the Arts", "San Diego Civic Theatre", "Frederiksberghallen", "Bristol Hippodrome", "Mid-America Center", "Air Canada Centre", "Red Star Stadium", "De Doelen", "Arena do Grêmio", "Minneapolis Convention Center", "Ponds Forge International Sports Centre", "Richmond Coliseum", "U.S. Cellular Center", "Carnesecca Arena", "Easter Road", "Gershwin Theatre", "BB&T Field", "Lyric Opera House", "Medicine Hat Arena", "Autzen Stadium", "W. L. Zorn Arena", "Curry Hicks Cage", "Murrayfield Ice Rink", "Charline McCombs Empire Theatre", "Estadio Nuevo Los Cármenes", "Family Arena", "Baum Stadium", "Gersten Pavilion", "World Arena, Colorado Springs", "Sports Authority Field at Mile High", "Stade Sébastien Charléty", "AT&T Park", "Floyd Casey Stadium", "Qemal Stafa Stadium", "Save-On-Foods Memorial Centre", "Scandinavium", "Melbourne Cricket Ground", "McKale Center", "Tacoma Dome", "Braly Municipal Stadium", "Capitol Theatre, Sydney", "Carter Barron Amphitheatre", "Benedum Center", "Plymouth Pavilions", "MGM Grand Garden Arena", "Rimrock Auto Arena at MetraPark", "Lynah Rink", "Craven Cottage", "Alex Box Stadium/Skip Bertman Field", "Wembley Stadium", "Stan Sheriff Center", "National Auditorium", "The Joint", "Proctors", "Kelly/Shorts Stadium", "Centennial Concert Hall, Winnipeg", "Madejski Stadium", "Shoreline Amphitheatre", "MassMutual Center", "Winter Garden Theatre", "Brandt Centre", "Kohl Center", "Estadio Alberto J. Armando", "Estádio José Alvalade", "Granada Theater", "Subiaco Oval", "Estadi Olímpic Lluís Companys", "Columbus Crew Stadium", "Estadio de La Cartuja", "Eisarena Salzburg", "Al-Aqsa Mosque", "Whittemore Center", "Bankers Life Fieldhouse", "HR Commitment Arena", "Davis Wade Stadium", "Emens Auditorium, Ball State University", "Calihan Hall", "Uptown Theater", "Krannert Center for the Performing Arts", "Winthrop Coliseum", "Cole Field House", "Underhill Stadium", "Cox Convention Center", "PNC Bank Arts Center", "Detroit Opera House", "BC Place", "Lucas Oil Stadium", "Chavez Theatre", "Central Park, Cowdenbeath", "Ewood Park", "Reliant Stadium", "Rangers Ballpark in Arlington", "Cintas Center", "Ajinomoto Stadium", "Silverdome", "McDiarmid Park", "Haas Pavilion", "Covelli Centre", "Wiener Musikverein", "Mayo Civic Center", "Cobb Energy Performing Arts Centre", "Kezar Stadium", "Reitz Arena", "Viaero Event Center", "Apollo Theater", "The Orbit Room", "James A. Rhodes Arena", "BancorpSouth Arena", "Sawyer Center", "Charles E. Smith Athletic Center", "Kölner Philharmonie", "Ed Mirvish Theatre", "Agora Theatre and Ballroom", "Capitol Theatre", "Veterans Stadium", "Lake Elsinore Diamond", "ShoWare Center", "John Paul Jones Arena", "Ryan Field", "Perth Arena", "Ferguson Center for the Arts", "Sudbury Community Arena", "Wolstein Center", "Conexus Arts Centre", "Sears Centre Arena", "Salle Wilfrid-Pelletier, Montreal", "Stadion Oberwerth", "Víctor Jara Stadium", "PalaLottomatica", "Gigg Lane", "Stadio Ennio Tardini", "Duluth Entertainment Convention Center", "Falkirk Stadium", "Congress Theatre", "KFC Yum! Center", "Stamford Bridge", "Majestic Theater", "Kemper Arena", "Estadi Ciutat de València", "Blue Cross Arena", "The Time Warner Cable Arena", "Moses Mabhida Stadium", "Vicente Calderón Stadium", "Hagan Arena", "Grand Theatre, Leeds", "Minute Maid Park", "Hofburg Palace", "Futurist Theatre", "Savannah Civic Center", "Chase Field", "Sleeman Centre", "Riverside Stadium", "CFSB Center", "Hult Center for the Performing Arts", "Target Center", "Aloha Stadium", "Community Arts Center", "Paul E. Tsongas Center at UMass Lowell", "Spartan Stadium", "Point Theatre", "Kinnick Stadium", "Canad Inns Stadium", "Welsh-Ryan Arena", "City of Manchester Stadium", "Jay Pritzker Pavilion", "Congress Theater", "Palace Theatre", "Britannia Stadium", "Miami Beach Convention Center", "Vancouver Forum", "Palau Sant Jordi", "Tokyo Dome", "Crystal Palace National Sports Centre", "Meadow Park", "Palais des Sports", "Palace Theatre, Melbourne", "Tulane Stadium", "Donald W. Reynolds Razorback Stadium", "Allianz Arena", "Jenny Craig Pavilion", "Emirates Stadium", "Husky Stadium", "Brooklyn Academy of Music", "Majestic Theatre", "Consol Energy Center", "Ralph Wilson Stadium", "UFCU Disch–Falk Field", "Beijing National Stadium", "Philips Stadion", "Toyota Stadium", "Nippon Budokan", "Colston Hall", "Hampton Coliseum", "Alamodome", "Juventus Stadium", "Louise M. Davies Symphony Hall", "GelreDome", "Wembley Arena", "Football Park", "Pioneer Center for the Performing Arts", "Bobby Dodd Stadium", "Doug Mitchell Thunderbird Sports Centre", "BB&T Center", "Yakima SunDome", "Maples Pavilion", "Owensboro Sports Center", "Rose Bowl", "Ordway Center for the Performing Arts", "Ryan Center", "Manchester Arena", "U.S. Cellular Arena", "Edinburgh Festival Theatre", "Green Point Stadium", "Town Toyota Center", "Nuremberg Arena", "TipsArena", "Mohegan Sun Arena", "Brighton Centre", "E. A. Diddle Arena", "Gallagher-Iba Arena", "Taft Theatre", "Comanche County Fairgrounds", "Kingsmeadow", "Rupp Arena", "Beijing National Aquatics Center", "Giants Stadium", "Dorton Arena", "Xcel Energy Center", "Hi Corbett Field", "Grand Olympic Auditorium", "1stBank Center", "Ford Field", "McCoy Stadium", "Estádio do Pacaembu", "Metropolitan Opera House", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Nippert Stadium", "Palacio Vistalegre", "Stade Marcel Picot", "Råsunda Stadium", "Stadio Alberto Braglia", "Megasport Arena", "Benjamin and Marian Schuster Performing Arts Center", "Giant Center", "Principal Park", "Reed Arena", "Rentschler Field", "Lambeau Field", "Tatran Handball Arena", "Zellerbach Hall", "Papa John's Cardinal Stadium", "Warner Theatre", "Robert F. Kennedy Memorial Stadium", "Veterans Memorial Auditorium", "Spartak Stadium", "Mestalla Stadium", "Hammersmith Palais", "Andrew Jackson Hall", "Winnipeg Arena", "State Theatre", "Mohegan Sun Arena at Casey Plaza", "Magness Arena", "Value City Arena at the Jerome Schottenstein Center", "Camelback Ranch", "Jorgensen Center for the Performing Arts", "Fox Theater", "Nelson Mandela Bay Stadium", "Agganis Arena", "American Music Theatre", "Stadion An der Alten Försterei", "Webster Bank Arena", "Commonwealth Stadium", "Mile High Stadium", "Go Dau Stadium", "Hill 16", "Tampereen jäähalli", "Anhalt Arena", "Gibson Amphitheatre", "Darrell K Royal–Texas Memorial Stadium", "Alexandra Palace", "BankUnited Center", "Prince Edward Theatre", "Pabellón Polideportivo Artaleku", "McKenzie Arena", "Asim Ferhatović Hase Stadium", "Princess Theatre, Melbourne", "Barabati Stadium", "FC Dallas Stadium", "Reser Stadium", "Orpheum Theatre", "Lipperlandhalle", "Clyde Auditorium", "Jacksonville Veterans Memorial Arena", "Ulster Performing Arts Center", "Heartland Events Center", "Carlson Center", "Goggin Ice Arena", "Hilton Coliseum", "Stranahan Theater", "Columbiahalle", "Mercedes-Benz Superdome", "TD Waterhouse Stadium", "Cadillac Palace Theatre", "Dolby Theatre", "Harris Theater", "Bryant–Denny Stadium", "Apollo Theater", "Campo de Fútbol de Vallecas", "Coleman Coliseum", "Sydney Entertainment Centre", "Roberts Municipal Stadium", "Romney Stadium", "New Amsterdam Theatre", "Bloomfield Road", "Estadio Olímpico Andrés Quintana Roo", "Patriot Center", "Alfond Arena", "Nokia Theatre L.A. Live", "Tynecastle Stadium", "BMO Harris Bradley Center", "The Florida Citrus Bowl Stadium", "BOK Center", "Suncorp Stadium", "Love Street", "E Werk", "Pauley Pavilion", "Twickenham Stadium", "Ivor Wynne Stadium", "New World Stages", "BayArena", "Foxboro Stadium", "Western Springs Stadium", "Auditorio Telmex", "Allen Event Center", "University at Buffalo Stadium", "The Centre In Vancouver for Performing Arts", "M&T Bank Stadium", "New Orleans Arena", "Hyde Park Picture House, Leeds", "Phoenix Symphony Hall", "First Niagara Center", "MacInnes Student Ice Arena", "Abe Lenstra Stadion", "Knoxville Civic Auditorium and Coliseum", "State Theatre", "Stadium Australia", "Yost Ice Arena", "Estádio do Bessa", "Orpheum Theatre", "Cameron Stadium", "Foxwoods Theatre", "O2 Arena", "Goodman Stadium", "Folsom Field", "The Broadway Theatre", "Melbourne Multi Purpose Venue", "Saban Theatre", "Liberty Bowl Memorial Stadium", "Crisler Center", "Gachibowli Athletic Stadium", "Marina Bay Sands", "Wells Fargo Arena", "Count Basie Theatre", "Rialto Theatre", "Cannon Center-Performing Arts", "Rajamangala Stadium", "Sun Bowl Stadium", "BMO Harris Bank Center", "State Theatre", "KSU Convocation Center", "Martin Stadium", "Chicago Theatre", "Olsen Field at Blue Bell Park", "Yankee Stadium", "Auditorium-Orchestre National de Lyon", "EWE Arena", "The Palace of Auburn Hills", "Alamo Stadium", "Ussishkin", "Crystal Cathedral", "Sleep Train Arena", "Verizon Theatre at Grand Prairie", "Philips Arena", "Manchester Central Convention Complex", "USF Sun Dome", "Gerry Weber Stadion", "Shea's Performing Arts Center", "Velodrom", "EverBank Field", "Arena Nova", "Credit Union Centre", "Abbotsford Entertainment & Sports Centre", "Reno Events Center", "Robertson Stadium", "Florence Civic Center", "Oriole Park at Camden Yards", "Teatro Real, Madrid", "Old Trafford Cricket Ground", "John F. Kennedy Stadium", "Washington Avenue Armory", "Cedar Park Center", "Stechert Arena", "Great American Ball Park", "Kingfield Stadium", "O'Connell Center", "KC Stadium", "Belmore Sports Ground", "Daytona International Speedway", "The Valley", "Ricoh Arena", "Legion Field", "Cynthia Woods Mitchell Pavilion", "State Theatre", "Citi Performing Arts Center", "Adriatic Arena", "City National Grove of Anaheim", "Wortham Theater Center", "Sun National Bank Center", "The Elgin Theatre", "Ross–Ade Stadium", "Soccer City", "Ben Hill Griffin Stadium", "Robins Center", "Alabama Theatre", "Jalan Besar Stadium", "War Memorial Auditorium", "Walt Disney Concert Hall", "Candlestick Park", "Oslo Spektrum", "Maple Leaf Gardens", "Adelaide Oval", "Bridgeforth Stadium and Zane Showker Field", "Festival Hall", "U.S. Bank Arena", "Roundhouse", "Turner Field", "Coliseum Alfonso Pérez", "Pharr International Convention Center", "Stade Geoffroy-Guichard", "Flens-Arena", "Stade du Moustoir", "Hollywood Bowl", "Challenge Stadium", "AFAS Stadion", "United Spirit Arena", "Manchester Opera House", "Compuware Arena", "Fatorda Stadium", "Municipal Auditorium", "KeyArena", "Bob Devaney Sports Center", "Ohio Stadium", "San Jose Center For The Performing Arts", "Coface Arena", "Canton Memorial Civic Center", "Victoria Hall, Hanley", "Palestra", "San Francisco Airport Marriott Waterfront", "Jazz at Lincoln Center", "Ricoh Coliseum", "New York Hippodrome", "Coronado Performing Arts Center", "Scheels Arena", "McArthur Court", "Soldier Field", "Metro Radio Arena", "Headingley Stadium", "Three Rivers Stadium", "FAU Stadium", "Citizens Business Bank Arena", "Palladium Ballroom", "Matthew Knight Arena", "Breslin Student Events Center", "Durham Bulls Athletic Park", "Estadio Ciudad de Santiago del Estero", "K-Rock Centre", "Qualcomm Stadium", "Sanford Center", "Save Mart Center", "Arena di Verona", "Riverside Theater", "Morton H. Meyerson Symphony Center, Dallas", "Madison Square Garden", "Arlington Stadium", "Royal Opera House, London", "Concertgebouw, Amsterdam", "National Stadium, Bukit Jalil", "Salem Civic Center", "Edmund P. Joyce Center", "Los Angeles Memorial Coliseum", "Vancouver Convention Centre", "Memorial Stadium, Lincoln", "Montgomery Performing Arts Centre", "Oslo Opera House", "Thompson–Boling Arena", "Estadio Julio Humberto Grondona", "Stade Auguste Bonal", "Saitama Super Arena", "Aggie Stadium", "Veterans Memorial Coliseum", "Progressive Field", "Charles C. Hughes Stadium", "Coors Field", "Boleyn Ground", "National Auditorium of Music", "Citizens Bank Park", "Calvin Gilmore Theater", "Michie Stadium", "The Louisville Palace", "Edinburgh Playhouse", "Pellissier Building and Wiltern Theatre", "Indiana University Auditorium", "Bass Performance Hall", "Morrison Center", "Fenway Park", "The Fillmore Detroit", "Estadio Ciudad de La Plata", "Motorpoint Arena Cardiff", "Orpheum Theatre", "Zénith d'Orléans", "Golden Gate Theatre", "Yokohama Arena", "DakotaDome", "William D. Mullins Memorial Center", "Boardwalk Hall", "Paul Brown Stadium", "Estádio da Luz", "New Theatre Oxford", "Lanxess Arena", "Buck Shaw Stadium", "Royal Theatre Carré", "Sun Life Stadium", "Estadio De Béisbol Héctor Espino", "Veltins-Arena", "Johnny Unitas Stadium", "Littlejohn Coliseum", "Tate Rink", "Bridgewater Hall, Manchester", "Pauley Pavilion", "Stade de Gerland", "Twickenham Stoop", "Vines Center", "Stroh Center", "Brisbane Entertainment Centre", "Sandia Resort and Casino", "LP Field", "Peterborough Memorial Centre", "Apollo Victoria Theatre", "Moncton Coliseum", "First Arena", "New Jersey Performing Arts Center", "Bramlage Coliseum", "Carter–Finley Stadium", "Washington–Grizzly Stadium", "Town Hall", "Ice Palace \"Ural Lightning\"", "Bramall Lane", "Carrara Stadium", "Fifth Third Arena", "Sacramento Convention Center Complex", "Estadio Racing Club", "Budweiser Events Center", "Thunder Bay Community Auditorium", "Broome County Veterans Memorial Arena", "New Road, Worcester", "London Coliseum", "Elland Road", "Forrest Theatre", "Verizon Arena", "Faurot Field", "Marin County Civic Center", "Memorial Stadium", "Coors Events Center", "FedExField", "Mississippi Coliseum", "Her Majesty's Theatre, Melbourne", "Bank of America Stadium", "Estadio José Jorge Conte", "Munn Ice Arena", "Sprint Center", "The Home Depot Center", "Palais Garnier", "Kay Bailey Hutchison Convention Center", "Packard Stadium", "Ikast-Brande Arena", "Huish Park", "North Harbour Stadium", "Old National Centre", "Oakland-Alameda County Coliseum", "Stadio Renato Dall'Ara", "Molineux Stadium", "American Airlines Center", "Chesapeake Energy Arena", "Lord's Cricket Ground", "Eintracht-Stadion", "Allianz Stadium", "Kungliga tennishallen", "Androscoggin Bank Colisée", "Westfalenstadion", "The Gabba", "Jiffy Lube Live", "Ladd Peebles Stadium", "TSB Bank Arena", "Beaver Stadium", "Estadio Fortunato Bonelli", "Mile One Centre", "Kitchener Memorial Auditorium Complex", "Tulalip Resort Casino", "Teatro alla Scala", "Palais des congrès de Paris", "Edgbaston Cricket Ground", "The Coronet", "Celtic Park", "Riverfront Stadium", "Royal Melbourne Showgrounds", "Hillsborough Stadium", "Freedom Hall", "National Arts Centre, Ottawa", "Grugahalle", "Thomas Wolfe Auditorium", "Eastern Kentucky Expo Center", "Tokyo Dome City", "Luis Conde Arena", "O2 World", "Whistler Sliding Centre", "Le Grand Rex", "Event Center Arena", "Expo Square Pavilion", "Cambria County War Memorial Arena", "Estádio do Maracanã", "Mahalia Jackson Theater of the Performing Arts", "New Wimbledon Theatre", "Enmore Theatre", "Ashton Gate Stadium", "Norfolk Scope Arena", "PNC Park", "Eastman Theatre", "Ahmanson Theatre", "Preußenstadion", "FedExForum" ], "function": ">", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 > 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000400, "question": "what are the venues with a seating of more than 1417?", "answer": [ "INB Performing Arts Center", "Citizens Business Bank Arena", "5th Avenue Theatre", "Bridgeforth Stadium and Zane Showker Field", "Loftus Road", "Her Majesty's Theatre, Melbourne", "Andrew Jackson Hall", "Skelly Field at H. A. Chapman Stadium", "Villa Park", "American Bank Center", "Proctors", "Palais des congrès de Paris", "Tower Theater", "LaVell Edwards Stadium", "Stadio Alberto Braglia", "Palais Garnier", "Stadio Artemio Franchi", "William \"Dick\" Price Stadium", "Red Rock Resort Spa and Casino", "AWD Hall", "Wortham Theater Center", "Philips Stadion", "Dow Event Center", "Eriksdalshallen", "Portsmouth Guildhall", "Atletion", "Comerica Park", "Palladium Ballroom", "Spiroudome", "Charles C. Hughes Stadium", "KC Stadium", "Gayfield Park", "Mississippi Coliseum", "Paulson Stadium", "Ashton Gate Stadium", "Hyde Park Picture House, Leeds", "Comerica Theatre", "Palace Theatre, Melbourne", "Holt Arena", "Grand Lake Theater", "Stade Armand Cesari", "The Louisville Palace", "Dodger Stadium", "St James' Park", "Schermerhorn Symphony Center", "Melbourne Cricket Ground", "Kinnick Stadium", "Doak Campbell Stadium", "Rose Bowl", "Packard Stadium", "Papa John's Cardinal Stadium", "Olympic Stadium Munich", "AT&T Park", "Fratton Park", "Frost Arena", "Yokohama Arena", "Point Theatre", "Arsenal Stadium", "Ulster Performing Arts Center", "Spartan Stadium", "Dorton Arena", "Texas Stadium", "Uptown Theater", "Owensboro Sports Center", "Sanford Stadium", "Warner Theatre", "Miami Arena", "E. A. Diddle Arena", "Tate Rink", "Dahlberg Arena", "Sears Centre Arena", "Wales Millennium Centre", "JQH Arena", "Nippert Stadium", "Bobby Dodd Stadium", "Cardiff Arena", "Beijing National Aquatics Center", "Rialto Square Theatre", "Chiles Center", "Towson Center", "El Sadar Stadium", "MGM Grand Garden Arena", "UNF Arena", "Belmore Sports Ground", "Show Me Center", "Freedom Hall", "Estadio de La Cartuja", "HR Commitment Arena", "New Theatre Oxford", "Centre Court", "UIC Pavilion", "Sullivan Athletic Center", "KeyArena", "MDCC-Arena", "Chesapeake Energy Arena", "Wolverhampton Civic Hall", "Lakefront Arena", "Kauffman Stadium", "Daniel–Meyer Coliseum", "Granada Theater", "Stade du Hameau", "Sovereign Center", "Wagner Noel Performing Arts Center", "Metalist Oblast Sports Complex", "Four Seasons Centre for the Performing Arts", "Green Point Stadium", "ARCO Arena I", "Hampden Park", "PalaLottomatica", "Palace Theatre, Manchester", "Citi Performing Arts Center", "Joe Louis Arena", "The Dome Leisure Centre", "Commonwealth Stadium", "UCF Arena", "Savannah Civic Center", "The Lighthouse", "London Velopark", "Cotton Bowl", "Brisbane Entertainment Centre", "Pauley Pavilion", "Foxboro Stadium", "Cintas Center", "Progressive Field", "Winter Gardens, Blackpool", "New Amsterdam Theatre", "O'Connell Center", "Harris Theater", "War Memorial Auditorium", "Yankee Stadium", "Nashville Municipal Auditorium", "Riverbend Music Center", "Johnny Unitas Stadium", "Putra Indoor Stadium", "Jim Patterson Stadium", "Lunt-Fontanne Theatre", "Faurot Field", "Anhalt Arena", "Tonhalle", "Coors Events Center", "Oslo Opera House", "Gill Coliseum", "Estadio Universitario", "Floyd Casey Stadium", "Wankhede Stadium", "Forrest Theatre", "Campo de Fútbol de Vallecas", "Veterans Memorial Coliseum", "Pavilion Theatre", "Perth Concert Hall", "Lanxess Arena", "Gatorade Garden City Complex", "Jack Trice Stadium", "Allianz Arena", "Shea Stadium", "RCA Dome", "WesBanco Arena", "DakotaDome", "Marquis Theatre", "Taft Theatre", "McKale Center", "Riverside Stadium", "W. L. Zorn Arena", "London Palladium", "Kauffman Center for the Performing Arts", "Liberty Stadium", "Red Bull Arena", "Peace and Friendship Stadium", "Stamford Bridge", "Byrd Stadium", "Usher Hall, Edinburgh", "Bloomfield Road", "Calvin Gilmore Theater", "Bank of America Stadium", "Durham County Stadium", "Estadio Azteca", "BancorpSouth Arena", "BB&T Center", "Loftus Versfeld Stadium", "Pennsylvania Convention Center", "Rogers Centre", "Lyric Opera House", "Reitz Arena", "Auditorium Parco della Musica", "Orleans Arena", "Gachibowli Athletic Stadium", "The Home Depot Center", "Buck Shaw Stadium", "Edgbaston Cricket Ground", "Rexall Centre", "Robinson Center, Little Rock", "Liberty Bowl Memorial Stadium", "BMO Harris Bradley Center", "Galen Center", "Redbird Arena", "Teatro degli Arcimboldi", "Cow Palace", "Comcast Arena", "Heinz Field", "Scandinavium", "The Den", "Ford Field", "Birmingham–Jefferson Convention Complex", "John F. Kennedy Stadium", "Stan Sheriff Center", "FirstEnergy Stadium", "National Stadium, Bukit Jalil", "Centennial Concert Hall, Winnipeg", "Bronco Stadium", "Glasgow Royal Concert Hall", "BMO Field", "The Egg", "Bristol Hippodrome", "Sleep Train Pavilion", "Moody Coliseum", "Western Hall", "Arlington Stadium", "Krannert Center for the Performing Arts", "Sam Boyd Stadium", "TSB Bank Arena", "Coronado Performing Arts Center", "Estadio Racing Club", "Phoenix Symphony Hall", "Futurist Theatre", "Tropicana Field", "Cricket Wireless Amphitheatre", "Stabler Arena", "The Times Union Center", "Elland Road", "Santiago Bernabéu Stadium", "CenturyLink Center Omaha", "Allen County War Memorial Coliseum", "Eisstadion Weißwasser", "Emirates Stadium", "Ferrell Center", "Miller Outdoor Theatre", "National Ice Centre", "Mitsubishi Electric Halle", "Fox Theatre", "Silverdome", "Vanderbilt Stadium", "Huntington Avenue Grounds", "Peden Stadium", "Shakespeare's Globe", "Hallenstadion", "National Concert Hall, Dublin", "Saratoga Performing Arts Center", "Bord Gáis Energy Theatre", "Millerntor-Stadion", "FAU Stadium", "Utica Memorial Auditorium", "Capitol Theatre", "Amway Arena", "Seminole Hard Rock Hotel and Casino Hollywood", "Thebarton Theatre", "Sioux Falls Arena", "Nelson Mandela Bay Stadium", "Marina Civic Center", "The Concert Hall in Aarhus", "Råsunda Stadium", "Fifth Third Arena", "Palace Theatre", "Reno Events Center", "Maverick Baseball Stadium", "U.S. Cellular Arena", "Tampa Stadium", "Rogers Arena", "Municipal Auditorium", "Olympic Stadium", "Jacksonville Veterans Memorial Arena", "Olympia Bruno Coquatrix", "Estadio Alberto J. Armando", "Majestic Theatre", "El Paso County Coliseum", "Vector Arena", "Williams Arena", "McMahon Stadium", "Minskoff Theatre", "Riverside Theater", "Dom Sportova", "Credit Union Centre", "BJK İnönü Stadium", "Munn Ice Arena", "Olympic Stadium", "Estadio Ciudad de Santiago del Estero", "High Point Solutions Stadium", "Compuware Arena", "Gaillard Municipal Auditorium", "Robina Stadium", "Molineux Stadium", "Odyssey Arena", "LDS Conference Center", "Cliffs Pavilion", "Romney Stadium", "Palais des Sports", "Koning Willem II Stadion", "Palais Theatre", "Wells Fargo Center", "Broome County Veterans Memorial Arena", "Hill Auditorium", "Cajun Field", "Nya Parken", "Congress Theater", "Robert F. Kennedy Memorial Stadium", "Carlson Center", "Stadium of Light", "State Theatre", "Coliseum Alfonso Pérez", "Ice Palace \"Ural Lightning\"", "Columbiahalle", "Hilton Coliseum", "Mackey Arena", "Hubert H. Humphrey Metrodome", "Roundhouse", "Allianz Stadium", "Wrigley Field", "Yost Ice Arena", "Nationwide Arena", "Ford Center", "Saoud bin Abdulrahman Stadium", "Jalan Besar Stadium", "Sandia Resort and Casino", "The Pavilion", "Sheikh Khalifa International Stadium", "Hampton Coliseum", "Wells Fargo Arena", "London Coliseum", "Ralph Wilson Stadium", "Kombank Arena", "Cedar Rapids Ice Arena", "General Motors Centre", "Motorpoint Arena Cardiff", "Theodoros Kolokotronis Stadium", "Curb Event Center", "Folsom Field", "Spokane Veterans Memorial Arena", "New Orleans Arena", "Zenith Arena", "Gibson Amphitheatre", "Stade Auguste Bonal", "Pride Park Stadium", "Percival Molson Memorial Stadium", "Robertson Stadium", "Mage Solar Stadion", "Flens-Arena", "Estádio Olímpico João Havelange", "Gigantium", "Salle Wilfrid-Pelletier, Montreal", "Colonial Life Arena", "MassMutual Center", "Avery Fisher Hall", "Somerset Park", "Kezar Stadium", "Massey Hall", "Conte Forum", "Asim Ferhatović Hase Stadium", "Carter–Finley Stadium", "Underhill Stadium", "The Hawthorns", "Miami Orange Bowl", "Theatre Royal, Glasgow", "Alex G. Spanos Center", "Estadio Tetelo Vargas", "Cape Town Stadium", "Fillmore Auditorium", "Matthew Knight Arena", "Landmark Theatre", "Roy Wilkins Auditorium", "Oriole Park at Camden Yards", "National Auditorium of Music", "The Elgin Theatre", "Moses Mabhida Stadium", "Three Rivers Stadium", "UFCU Disch–Falk Field", "Colston Hall", "Bud Walton Arena", "Fargodome", "New York Hippodrome", "Rangers Ballpark in Arlington", "Adelphi Theatre", "EnergyAustralia Stadium", "Swedbank Park", "Donau Arena", "Stadio Renato Curi", "Majestic Theatre", "Roxy Theatre", "Rod Laver Arena", "Auditorium-Orchestre National de Lyon", "Regent Theatre", "Stroh Center", "Clark–LeClair Stadium", "Expo Square Pavilion", "Cowtown Coliseum", "Oslo Spektrum", "Peabody Auditorium", "Iberostar Stadium", "FedExForum", "BB&T Field", "Mid-America Center", "Fox Theatre", "Lynah Rink", "Jiffy Lube Live", "Molson Canadian Amphitheatre", "Kay Bailey Hutchison Convention Center", "Yankee Stadium", "Raymond James Stadium", "The O2", "Glens Falls Civic Center", "Teatro alla Scala", "The Music Hall", "Astana Arena", "James A. Rhodes Arena", "Ed Mirvish Theatre", "San Francisco Airport Marriott Waterfront", "Benjamin and Marian Schuster Performing Arts Center", "Hofburg Palace", "Chicago Stadium", "Paul E. Tsongas Center at UMass Lowell", "State Theatre", "Ellis Park Stadium", "Stanley Park Stadium", "Mountaineer Field at Milan Puskar Stadium", "Stadio Olimpico", "Dowdy–Ficklen Stadium", "John E. Worthen Arena", "Enmore Theatre", "Pershing Center", "Whittemore Center", "Dominion Theatre", "Liberty Bank Stadium", "Sydney Entertainment Centre", "Mahalia Jackson Theater of the Performing Arts", "Greensboro Coliseum Complex", "Carnie Smith Stadium", "Hanns-Martin-Schleyer-Halle", "Laredo Energy Arena", "Sadler's Wells Theatre", "Barclays Center", "Barabati Stadium", "Eintracht-Stadion", "Halifax Metro Centre", "The Florida Citrus Bowl Stadium", "Newcastle City Hall", "Auburn Arena", "CFSB Center", "The Forum", "The Joint", "Ivor Wynne Stadium", "Strahan Coliseum", "Goodman Stadium", "Tannadice Park", "Chase Field", "Agora Theatre and Ballroom", "Creighton Orpheum Theater", "Mosaic Stadium at Taylor Field", "Stadion Oberwerth", "Arena at Gwinnett Center", "Long Beach Convention and Entertainment Center", "Candlestick Park", "Camp Nou", "Franklin Field", "Smart Araneta Coliseum", "Manchester Central Convention Complex", "Salem Civic Center", "Wallace Wade Stadium", "River Center Arena", "Crystal Palace National Sports Centre", "Riviera Theatre", "Citizens Bank Park", "Mile High Stadium", "John Paul Jones Arena", "California Memorial Stadium", "Mohegan Sun Arena", "San Siro Stadium", "Budweiser Events Center", "Marion Palace Theatre", "Comédie-Française", "Kitchener Memorial Auditorium Complex", "Nassau Veterans Memorial Coliseum", "Spartan Stadium", "Le Grand Rex", "Zénith de Strasbourg", "Thani bin Jassim Stadium", "Bill Snyder Family Football Stadium", "Hofheinz Pavilion", "The Fillmore Detroit", "The Whiting", "Balaídos", "Scotiabank Place", "Braly Municipal Stadium", "Lotto Arena", "Resch Center", "De Montfort Hall", "Symphony Hall, Birmingham", "Boardwalk Hall", "Ordway Center for the Performing Arts", "State Farm Center", "Ben Hill Griffin Stadium", "Vaught–Hemingway Stadium", "East Fremantle Oval", "Pacific Coliseum", "War Memorial Stadium", "Anoeta Stadium", "Medicine Hat Arena", "Whistler Sliding Centre", "Legion Field", "Shotwell Stadium", "Türk Telekom Arena", "Rimrock Auto Arena at MetraPark", "Cobb Energy Performing Arts Centre", "Pharr International Convention Center", "Count Basie Theatre", "Niaz Stadium", "Sun Life Stadium", "Credicard Hall", "Bethel Woods Center for the Arts", "Riverfront Stadium", "McKenzie Arena", "Summum", "Westpac Stadium", "Cameron Indoor Stadium", "Ahmanson Theatre", "Estadio Nuevo José Zorrilla", "Wolstein Center", "Stadio Renato Dall'Ara", "AFAS Stadion", "Tynecastle Stadium", "David A. Straz Jr. Center for the Performing Arts", "Angel Stadium of Anaheim", "Abe Lenstra Stadion", "O2 World", "Methodist Central Hall Westminster", "Boston Opera House", "Bankers Life Fieldhouse", "Agganis Arena", "Gold Coast Convention and Exhibition Centre", "Ikast-Brande Arena", "Kiel Auditorium", "I Wireless Center", "Detroit Opera House", "Rhein-Neckar Arena", "Xcel Energy Center", "Doug Mitchell Thunderbird Sports Centre", "Arena di Verona", "Rice Stadium", "Lyric Theatre, Sydney", "Littlejohn Coliseum", "Estadio Nuevo Los Cármenes", "Madison Square Garden", "Gillette Stadium", "Ryan Field", "Birmingham Hippodrome", "Stadio San Paolo", "Megasport Arena", "Britannia Stadium", "Pioneer Center for the Performing Arts", "Canberra Stadium", "Foreman Field", "Verizon Wireless Arena", "Von Braun Center", "Tacoma Dome", "Zellerbach Hall", "Royal Opera House, London", "Al-Aqsa Mosque", "Neyland Stadium", "Maple Leaf Gardens", "Estadio De Béisbol Héctor Espino", "Max-Schmeling-Halle", "Stadio Giovanni Zini", "Manchester Opera House", "Aviva Stadium", "Pete Maravich Assembly Center", "Bob Carpenter Center", "Vikings Stadium", "Lone Star Amphitheater", "Selhurst Park", "Shanghai Stadium", "Gerald J. Ford Stadium", "Red Rocks Amphitheatre", "Ajinomoto Stadium", "HMV Forum", "State Theatre", "1stBank Center", "Pensacola Civic Center", "Warner Theatre", "Princess Theatre, Melbourne", "László Papp Budapest Sports Arena", "MacInnes Student Ice Arena", "William D. Mullins Memorial Center", "Hokkaido Prefectural Sports Center", "Grand Ole Opry", "Patriot Center", "Jay Pritzker Pavilion", "Sun Bowl Stadium", "Stadio Ennio Tardini", "Jones AT&T Stadium", "The Coronet", "ENMAX Centre", "Estadio El Madrigal", "Allstate Arena", "Carrara Stadium", "Vines Center", "Uptown Theatre", "Ebbets Field", "Arrowhead Stadium", "Capitol Theatre, Sydney", "Williams-Brice Stadium", "Estádio do Dragão", "Convocation Center", "Melching Field at Conrad Park", "Városi Sportcsarnok", "Sprint Center", "Hult Center for the Performing Arts", "Kampa-Halle", "Surprise Stadium", "TCF Bank Stadium", "Nuremberg Arena", "Sun National Bank Center", "Pepsi Center", "Raleigh Convention Center", "Docklands Stadium", "Aloha Stadium", "Estadio Cubierto Newell's Old Boys", "Tulalip Resort Casino", "Soccer City", "Stadthalle Hagen", "Palace Theatre", "Lucas Oil Stadium", "Wiener Musikverein", "Alabama Theatre", "State Theatre", "Breslin Student Events Center", "Winnipeg Arena", "Festival Hall", "Lander's Center", "Newcastle Entertainment Centre", "Mohegan Sun Arena at Casey Plaza", "Foro Sol", "Old Trafford Cricket Ground", "Pittodrie Stadium", "Adriatic Arena", "Majestic Theater", "Sparkassen-Erzgebirgsstadion", "HoHoKam Stadium", "Liverpool Empire Theatre", "Estadio José Jorge Conte", "Bushnell Center for the Performing Arts", "Morton H. Meyerson Symphony Center, Dallas", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Croke Park", "Hershey Centre", "Camille Chamoun Sports City Stadium", "Wang Theatre", "Stade Marcel Picot", "Rentschler Field", "Regent Theatre, Dunedin", "Churchill Downs", "Hillsborough Stadium", "Safeco Field", "Target Field", "Bojangles' Coliseum", "Centre In The Square", "Allen Event Center", "Empire, Leicester Square", "Wiener Stadthalle Hall D", "Boleyn Ground", "Cheltenham Racecourse", "Roberts Municipal Stadium", "Volleyball Sportiv Complex", "Stade du Moustoir", "Headingley Stadium", "Orpheum", "Olympia Ice Center", "Orpheum Theatre", "Mackay Stadium", "Amman International Stadium", "McCoy Stadium", "Knoxville Civic Auditorium and Coliseum", "American Airlines Center", "Centennial Stadium", "Adelaide Oval", "Hampton Convocation Center", "Carter Barron Amphitheatre", "Smith Center for the Performing Arts", "Busch Memorial Stadium", "Toyota Stadium", "Lahaina Civic Center", "Huntington Center", "Eisarena Salzburg", "Kidd Brewer Stadium", "Community Arts Center", "Family Arena", "Twickenham Stadium", "Wellmont Theatre", "Gachibowli Indoor Stadium", "O2 Academy Glasgow", "Cole Field House", "Independence Events Center", "Lake Elsinore Diamond", "Savoy Cinema", "The Muny", "GelreDome", "Tatran Handball Arena", "Kimmel Arena", "Toyota Center", "National Auditorium", "O2 Academy Liverpool", "Alexandra Palace", "Alerus Center", "Ladd Peebles Stadium", "Denver Coliseum", "Martin Stadium", "Bryant–Denny Stadium", "Cobo Center", "Amsterdam Arena", "Rabobank Arena", "Lane Stadium", "Maui Arts & Cultural Center", "Rialto Theatre", "Hearst Greek Theatre", "Orpheum Theatre", "AT&T Center", "Stadium Australia", "Citi Field", "Gerry Weber Stadion", "North Charleston Coliseum", "Winthrop Coliseum", "King's Theatre, Glasgow", "Peabody Opera House", "WACA Ground", "Reed Arena", "Hobby Center for the Performing Arts", "Rittal Arena Wetzlar", "Independence Stadium", "AWD-Arena", "KFC Yum! Center", "Kölner Philharmonie", "Shoreline Amphitheatre", "Tad Gormley Stadium", "Verizon Wireless Amphitheatre", "Curry Hicks Cage", "Eastman Theatre", "Worthington Arena", "Soldiers and Sailors Memorial Auditorium", "Racquet Club of Memphis", "Sports Ground, Woodbridge Road, Guildford", "TD Waterhouse Stadium", "United Center", "Eastern Kentucky Expo Center", "Ibrox Stadium", "Bahrain National Stadium", "Hammersmith Palais", "Pitt Stadium", "Rice-Eccles Stadium", "Rose Bowl", "BOK Center", "Lloyd Noble Center", "La Romareda", "Swedbank Stadion", "Beijing National Stadium", "Juventus Stadium", "Metro Radio Arena", "Elispace", "Canad Inns Stadium", "Town Toyota Center", "Cannon Center-Performing Arts", "Zénith d'Orléans", "Orange County Convention Center", "Tampa Bay Times Forum", "Mizzou Arena", "Orpheum Theatre", "Estadio Monumental Antonio Vespucio Liberti", "Giants Stadium", "Benteler Arena", "Memorial Stadium", "PNC Park", "University of Dayton Arena", "Estádio do Bessa", "Al Hirschfeld Theatre", "St. James Theatre, Wellington", "Vicarage Road", "Wembley Arena", "Estádio José Alvalade", "Philips Arena", "DCU Center", "Holy Name Cathedral, Chicago", "Tennessee Theatre", "LP Field", "New Jersey Performing Arts Center", "Queen Elizabeth Theatre", "Ricoh Arena", "MaxiparkArena", "Scottrade Center", "Webster Bank Arena", "Tilles Center for the Performing Arts", "Arena do Grêmio", "Oakland-Alameda County Coliseum", "American Music Theatre", "U.S. Bank Arena", "Waterfront Hall", "Liacouras Center", "Matthews Arena", "Hammerstein Ballroom", "First Niagara Center", "Magness Arena", "Target Center", "Tiger Stadium", "Roanoke Civic Center", "Capitol Theatre", "TD Bank Garden", "Shrine Auditorium", "Radio City Music Hall", "Cícero Pompeu de Toledo Stadium", "Venue Cymru", "Charline McCombs Empire Theatre", "Morris Performing Arts Center", "Clyde Auditorium", "Indiana University Auditorium", "Georgia Dome", "Gaylord Family Oklahoma Memorial Stadium", "Joseph P. Riley, Jr. Park", "Los Angeles Theatre", "Crisler Center", "Capitol Theatre", "Memorial Stadium, Lincoln", "American Airlines Arena", "Teatro dell'Opera di Roma", "Darrell K Royal–Texas Memorial Stadium", "Sports Authority Field at Mile High", "Bowers Stadium", "Westfalenstadion", "Symphony Hall", "Penydarren Park", "Principal Park", "CenturyLink Center", "Peterborough Memorial Centre", "Florence Civic Center", "Stade Francis-Le Blé", "Foxwoods Theatre", "Stadthalle Graz", "Bramlage Coliseum", "Osceola County Stadium", "Yakima SunDome", "Mercedes-Benz Superdome", "Crystal Cathedral", "Salt River Fields at Talking Stick", "Ted Constant Convocation Center", "Bondi Beach", "Auditorio Banamex", "Montgomery Performing Arts Centre", "The Centre In Vancouver for Performing Arts", "Prudential Center", "Viaero Event Center", "Melbourne Multi Purpose Venue", "Amon G. Carter Stadium", "Preußenstadion", "Comcast Center", "Tyson Events Center", "The Centre", "Reliant Astrodome", "Goss Stadium at Coleman Field", "Harry A. Gampel Pavilion", "Palau d'Esports de Granollers", "Alpine Valley Music Theatre", "Brandt Centre", "Ohio Stadium", "McArthur Court", "Ullevi", "San Jose Center For The Performing Arts", "Wicomico Youth and Civic Center", "Van Andel Arena", "Cox Convention Center", "Grand Olympic Auditorium", "Veltins-Arena", "Civic Arena", "Edinburgh Festival Theatre", "Teatro di San Carlo, Naples", "Kelly/Shorts Stadium", "Germain Arena", "Bill Graham Civic Auditorium", "Frankfurter Volksbank Stadion", "Pavilion Theatre", "Budweiser Gardens", "EWE Arena", "Ewood Park", "The Lowry", "TipsArena", "Thompson–Boling Arena", "Stanford Stadium", "Stadio delle Alpi", "Boston Garden", "Bobcat Stadium", "Fox Theater Pomona", "Estadio Julio Humberto Grondona", "St David's Hall", "Pan American Center", "Estadio Marcelo Bielsa", "Estadio de Béisbol Monterrey", "Wings Stadium", "WVU Coliseum", "Nokia Theatre L.A. Live", "Tulane Stadium", "Nelson W. Wolff Municipal Stadium", "Cypress Mountain Ski Area", "Estádio do Pacaembu", "Phoenix Municipal Stadium", "Chicago Theatre", "Camp Randall Stadium", "Winter Garden Theatre", "Shea's Performing Arts Center", "Conexus Arts Centre", "Reser Stadium", "Kenan Memorial Stadium", "Baum Stadium", "Edmund P. Joyce Center", "Lord's Cricket Ground", "Susquehanna Bank Center", "Air Canada Centre", "HP Pavilion at San Jose", "Calihan Hall", "Challenge Stadium", "Thunder Bay Community Auditorium", "Kyle Field", "Chester Fritz Auditorium", "Prince Edward Theatre", "Rajamangala Stadium", "Veterans Memorial Auditorium", "Motorpoint Arena Sheffield", "Nikon at Jones Beach Theater", "Marina Bay Sands", "Alamo Stadium", "Qualcomm Stadium", "CenturyLink Field", "The Gabba", "Palacio Vistalegre", "US Airways Center", "Academy of Music", "Ralph Engelstad Arena", "Columbus Civic Center", "North Shore Music Theatre", "Theater des Westens", "Commerzbank-Arena", "University of Phoenix Stadium", "Bob Devaney Sports Center", "Prospera Place", "National Indoor Arena", "Arlene Schnitzer Concert Hall, Portland", "Pantages Theatre", "Cadillac Palace Theatre", "Hartwall Areena", "Víctor Jara Stadium", "König Pilsener Arena", "Stadion im. Tadeusza Ślusarskiego", "Sonny Lubick Field at Hughes Stadium", "The Bell Auditorium", "U.S. Cellular Field", "Marin County Civic Center", "Princess Theatre, Torquay", "Star Plaza Theatre", "First Arena", "Bramall Lane", "Sullivan Arena", "Toyota Center", "Marlins Park", "Love Street", "M&T Bank Stadium", "Amway Center", "New Wimbledon Theatre", "Nippon Budokan", "Regent Theatre", "Sleep Train Arena", "Estádio Vila Capanema", "Soldier Field", "Ralph Engelstad Arena", "Gigg Lane", "Bridgewater Hall, Manchester", "Harbour Station", "K-Rock Centre", "Lawson Arena", "Yubileyny Sports Palace", "Royal Theatre Carré", "Singapore Indoor Stadium", "Majestic Theatre", "De Grolsch Veste", "FedExField", "Great American Ball Park", "North Harbour Stadium", "Carver–Hawkeye Arena", "Sacramento Convention Center Complex", "Bartow Arena", "Reynolds Coliseum", "Verizon Center", "GCS Ballpark", "Thomas & Mack Center", "Pauley Pavilion", "Coors Field", "Event Center Arena", "Esplanade - Theatres on the Bay, Singapore", "Aggie Stadium", "ShoWare Center", "Stade de la Mosson", "Stadion An der Alten Försterei", "Edinburgh Playhouse", "Charlotte Coliseum", "Stade de la Route de Lorient", "Five Flags Center", "Fenway Park", "Minneapolis Convention Center", "Golden Gate Theatre", "Camelback Ranch", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Luna Park, Buenos Aires", "Reebok Stadium", "London Astoria", "Tiger Stadium", "Bangalore Football Stadium", "Michie Stadium", "ABB Arena Syd", "Congress Theatre", "Dale F. Halton Arena", "Palais Omnisports de Paris-Bercy", "Sony Centre for the Performing Arts", "AT&T Performing Arts Center", "EverBank Field", "BC Place", "E Werk", "Dvorana Mirza Delibašić", "Hard Rock Hotel and Casino", "Boone Pickens Stadium", "Lipperlandhalle", "Hollywood Bowl", "Auckland Civic Theatre", "The Bank of Kentucky Center", "Polideportivo Islas Malvinas", "Glücksgas Stadium", "Minute Maid Park", "Ferguson Center for the Arts", "Millennium Stadium", "Madejski Stadium", "Vancouver Convention Centre", "Grugahalle", "Achilles Rink", "Mediolanum Forum", "Palladium Theater", "Mile One Centre", "Rupp Arena", "Peter Mokaba Stadium", "Cumberland County Crown Coliseum", "Apollo Theater", "Jeld-Wen Field", "Lincoln Financial Field", "Apollo Theater", "Jenny Craig Pavilion", "The Sage Gateshead", "Sydney Cricket Ground", "Stade Vélodrome", "Stade de Gerland", "Arena Nova", "Ottawa Convention Centre", "Assembly Hall", "Echo Arena Liverpool", "The O2 Arena", "Spartak Stadium", "Dean Smith Center", "Donald L. Tucker Center", "Fir Park", "Stranahan Theater", "Olympic Stadium", "Blue Cross Arena", "D.C. Armory", "Kungliga tennishallen", "PNC Arena", "Southampton Guildhall", "Ricoh Coliseum", "Bridgestone Arena", "Alamodome", "Sunderland Empire Theatre", "Estádio do Maracanã", "The Oval", "Carrier Dome", "Spreckels Theater", "Orpheum Theatre", "Quicken Loans Arena", "Estadio Riazor", "Sanford Center", "Estadi Ciutat de València", "Sawyer Center", "Intrust Bank Arena", "Fatorda Stadium", "The Arches", "Stechert Arena", "Frederiksberghallen", "Knapp Center", "Verizon Arena", "National Aquatic Centre", "Save Mart Center", "Neil Simon Theatre", "Peoria Civic Center", "Cedar Park Center", "Edward Jones Dome", "Go Dau Stadium", "Gallagher-Iba Arena", "White Hart Lane", "Murrayfield Ice Rink", "Saint Paul RiverCentre", "Estadi Olímpic Lluís Companys", "Izod Center", "Theatre Royal, Drury Lane", "Teatro Real, Madrid", "Ross–Ade Stadium", "Tampereen jäähalli", "Palau Sant Jordi", "Best Buy Theater", "Griffin Park", "Auditorio Telmex", "Maverik Center", "Kingsmeadow", "Plymouth Pavilions", "Mestalla Stadium", "Beethovenhalle", "Chaifetz Arena", "Lambeau Field", "St. Augustine Amphitheatre", "Cambria County War Memorial Arena", "Allphones Arena", "Arena Theatre", "Adler Theatre", "Davis Wade Stadium", "Charles E. Smith Athletic Center", "Bryce Jordan Center", "BayArena", "Hill 16", "Los Angeles Memorial Coliseum", "Ericsson Globe", "Bright House Networks Stadium", "U.S. Cellular Center", "Elliott Hall of Music", "Memorial Gymnasium", "Rugby Park", "Luis Conde Arena", "RiverCenter for the Performing Arts", "Abbotsford Entertainment & Sports Centre", "Sleuyter Arena", "Big Sandy Superstore Arena", "Morrison Center", "Saban Theatre", "City of Manchester Stadium", "Benedum Center", "Popejoy Hall", "Jazz at Lincoln Center", "Veterans Stadium", "Perth Arena", "Cajundome", "Alabama Theatre", "Cumberland County Civic Center", "National Hockey Stadium", "Beijing National Aquatics Center", "Princeton University Stadium", "DTE Energy Music Theatre", "Fisher Field", "Admiralspalast", "Lyceum Theatre", "Salvus-Stadion am Grevener Damm", "The Palace of Auburn Hills", "Marriott Center", "Salt Lake Stadium", "Welsh-Ryan Arena", "Falkirk Stadium", "Akoo Theatre at Rosemont", "Estadio Benito Villamarín", "Lakewood Church Central Campus", "Vicente Calderón Stadium", "Charles Koch Arena", "Esprit Arena", "Royal Festival Hall", "Cynthia Woods Mitchell Pavilion", "Brooklyn Academy of Music", "Old National Centre", "Antarès", "Estadio Olímpico Andrés Quintana Roo", "The Pit", "St Andrew's", "Bellerive Oval", "Staples Center", "Donbass Arena", "Alfond Arena", "MetLife Stadium", "Memorial Stadium", "Al-Hamadaniah Stadium", "Rec Hall", "Estádio da Luz", "Tucson Convention Center", "New Road, Worcester", "Columbus Crew Stadium", "Stadio Artemio Franchi – Montepaschi Arena", "Olympic Stadium", "Kohl Center", "Embassy Theatre", "Miami Beach Convention Center", "The Broadway Theatre", "Paramount Theatre", "1st Mariner Arena", "Stockholm Olympic Stadium", "Scheels Arena", "Hi Corbett Field", "Western Springs Stadium", "Victoria Theatre", "Eden Gardens", "Fox Theatre", "Princess of Wales Theatre", "MTS Centre", "Central Park, Cowdenbeath", "Stade Sébastien Charléty", "Heartland Events Center", "Austin Convention Center", "San Diego Civic Theatre", "Covelli Centre", "Hagan Arena", "Olsen Field at Blue Bell Park", "O2 World", "Richard E. Berry Educational Support Center", "Osaka Dome", "Verizon Theatre at Grand Prairie", "Nutter Center", "Jordan–Hare Stadium", "Keller Auditorium", "Anaheim Convention Center", "Tuacahn", "Huish Park", "Redondo Beach Performing Arts Center", "Miller Park", "Husky Stadium", "Richmond Coliseum", "Goodison Park", "Ethias Arena", "Sudbury Community Arena", "OlympiaWorld Innsbruck", "United Spirit Arena", "UNI-Dome", "Stadio Antonio Bianco", "Viejas Arena", "Royal Agricultural Hall", "Stadium Municipal", "McDiarmid Park", "Cheney Stadium", "Celebrity Theatre", "Sleeman Centre", "Goggin Ice Arena", "Scotiabank Saddledome", "Comanche County Fairgrounds", "University at Buffalo Stadium", "Easter Road", "PPL Park", "Cruzan Amphitheatre", "Stadion der Freundschaft", "United Palace Theater", "Fife Ice Arena", "BankUnited Center", "Tokyo Dome City", "Manchester Central Convention Complex", "Pellissier Building and Wiltern Theatre", "Kibbie Dome", "Memorial Stadium", "Bass Performance Hall", "War Memorial Stadium", "Mayo Civic Center", "Thomas Wolfe Auditorium", "Weserstadion", "Brown Stadium", "Stade de France", "Football Park", "Suheim Bin Hamad Stadium", "East End Park", "Sleep Train Amphitheatre", "Emens Auditorium, Ball State University", "Cowboys Stadium", "Alumni Stadium", "Şükrü Saracoğlu Stadium", "Gersten Pavilion", "USF Sun Dome", "Deltaplex Arena & Conference Center", "Victoria Hall, Hanley", "Wembley Stadium", "Verizon Wireless Amphitheater", "Save-On-Foods Memorial Centre", "Washington–Grizzly Stadium", "Mariucci Arena", "Paul Brown Stadium", "Kress Events Center", "Stade Geoffroy-Guichard", "York Park", "Kingfield Stadium", "Valley View Casino Center", "Chacarita Juniors Stadium", "Qemal Stafa Stadium", "New World Stages", "Dolby Theatre", "Kitchener Memorial Auditorium", "Durham Bulls Athletic Park", "National Theatre", "Coface Arena", "Aggie Stadium", "Pabellón Polideportivo Artaleku", "Town Hall", "Broward Center for the Performing Arts", "Javelina Stadium", "SIU Arena", "PNC Bank Arts Center", "Ninian Park", "Volkswagen Arena", "Palace Theatre", "Estadio Fortunato Bonelli", "Ponds Forge International Sports Centre", "Taco Bell Arena", "BMO Harris Bank Center", "Perth Oval", "Celtic Park", "Vienna State Opera", "Maples Pavilion", "Busch Stadium", "Memorial Stadium, Clemson", "Louise M. Davies Symphony Hall", "Notre Dame Stadium", "Androscoggin Bank Colisée", "Ottawa Civic Centre", "Robins Center", "Wembley Stadium", "Duluth Entertainment Convention Center", "Parc des Sports", "Copps Coliseum", "Canton Memorial Civic Center", "Jon M. Huntsman Center", "Firhill Stadium", "Victoria Palace Theatre", "Metropolitan Opera House", "Braehead Arena", "Petco Park", "Suncorp Stadium", "Palestra", "Alex Box Stadium/Skip Bertman Field", "Walt Disney Concert Hall", "TD Ameritrade Park Omaha", "Turner Field", "Gaiety Theatre, Dublin", "Toyota Park", "Lawrence Joel Veterans Memorial Coliseum", "Scott Stadium", "Coleman Coliseum", "Consol Energy Center", "Royal Melbourne Showgrounds", "Beacon Theatre, New York", "U.S. Cellular Coliseum", "Stockton Arena", "Royal Bafokeng Stadium", "Reliant Stadium", "Oracle Arena", "Washington Avenue Armory", "Gershwin Theatre", "Rose Garden", "De Doelen", "Winspear Opera House, Dallas", "Stadio Olimpico di Torino", "Kemper Arena", "Beaver Stadium", "Harvard Stadium", "Jorgensen Center for the Performing Arts", "Swayze Field", "The Valley", "Apollo Victoria Theatre", "Oakdale Theatre", "Eden Park", "Carnesecca Arena", "Orpheum Theatre", "Norfolk Scope Arena", "New York City Center", "Dee Events Center", "New I-Mobile Stadium", "Rhodes Stadium", "Fox Theater", "Twickenham Stoop", "City National Grove of Anaheim", "Cam Henderson Center", "Memorial Stadium", "XL Center", "Meadow Park", "Consol Energy Center", "Estadio Ciudad de La Plata", "Aronoff Center", "Lansdowne Road", "Giant Center", "Opéra Bastille", "Ottawa Auditorium", "Cameron Stadium", "Faliro Coastal Zone Olympic Complex", "Grand Theatre, Leeds", "King Power Stadium", "Cleveland Stadium", "Red Star Stadium", "Sun Devil Stadium", "Vancouver Forum", "Donald W. Reynolds Razorback Stadium", "Hinkle Fieldhouse", "Hancock Stadium", "Waldo Stadium", "Allen Fieldhouse", "National Arts Centre, Ottawa", "EnergySolutions Arena", "Deva Stadium", "FIU Stadium", "Charleston Civic Center", "Ussishkin", "Doak Field", "Arizona Stadium", "Norva Theatre", "Yale Bowl", "Tokyo Dome", "Whistler Olympic Park", "Old Trafford", "KSU Convocation Center", "Tad Smith Coliseum", "FC Dallas Stadium", "Subiaco Oval", "Concertgebouw, Amsterdam", "Durham Performing Arts Center", "Rexall Place", "Dunkin' Donuts Center", "Manchester Arena", "Ryan Center", "Craven Cottage", "Value City Arena at the Jerome Schottenstein Center", "Daytona International Speedway", "Frank Erwin Center", "Louis Brown Athletic Center", "O2 Arena", "Barrie Molson Centre", "Wells Fargo Arena", "Ems-Hölle", "Hanover Theatre for the Performing Arts", "World Arena, Colorado Springs", "Mosaic Place", "Falcon Stadium", "Saitama Super Arena", "The Orbit Room", "Cassell Coliseum", "İzmir Atatürk Stadium", "Brighton Centre", "Don Haskins Center", "Richmond Olympic Oval", "Comcast Center", "Moncton Coliseum", "The Time Warner Cable Arena", "Jobing.com Arena", "Teatro Colón, Buenos Aires", "Sydney Opera House", "Chavez Theatre", "Nationals Park", "Honda Center", "The Shay", "Haas Pavilion", "BI-LO Center", "Bell Centre", "Regent Theatre, Melbourne", "Le Transbordeur", "Stuart C. Siegel Center", "Commonwealth Stadium", "Chrysler Hall", "Palaran Stadium", "Estadio José María Bértora", "The Helix", "Los Angeles Memorial Sports Arena", "HK Arena", "Anfield", "Petersen Events Center", "Rio Tinto Stadium", "Velodrom", "Autzen Stadium", "Lawlor Events Center", "Michigan Stadium" ], "function": ">", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 > 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 109000500, "question": "can you find me the venues that have a crowd capacity greater than 1417?", "answer": [ "Lipperlandhalle", "HK Arena", "Progressive Field", "The Fillmore Detroit", "UCF Arena", "Tokyo Dome", "E Werk", "State Theatre", "Barrie Molson Centre", "Tynecastle Stadium", "Charleston Civic Center", "San Jose Center For The Performing Arts", "Ferrell Center", "Centennial Stadium", "Olympic Stadium", "Arsenal Stadium", "Olsen Field at Blue Bell Park", "Conexus Arts Centre", "High Point Solutions Stadium", "Braehead Arena", "Estadio Marcelo Bielsa", "Royal Festival Hall", "Hubert H. Humphrey Metrodome", "The Pit", "The Bell Auditorium", "Perth Oval", "Pauley Pavilion", "Riverbend Music Center", "Hershey Centre", "Hult Center for the Performing Arts", "Stadion Oberwerth", "Jiffy Lube Live", "Carnie Smith Stadium", "Adler Theatre", "Stade de la Route de Lorient", "Spiroudome", "Griffin Park", "Jeld-Wen Field", "Headingley Stadium", "Estadio Benito Villamarín", "Alabama Theatre", "Theater des Westens", "Easter Road", "Cajundome", "National Theatre", "Memorial Stadium, Lincoln", "Dominion Theatre", "The Muny", "Coleman Coliseum", "Orpheum Theatre", "Bank of America Stadium", "Dale F. Halton Arena", "Colonial Life Arena", "Jack Trice Stadium", "Cintas Center", "Foxwoods Theatre", "Estadio Riazor", "Louise M. Davies Symphony Hall", "Thomas & Mack Center", "Bloomfield Road", "Palace Theatre", "Empire, Leicester Square", "Westpac Stadium", "Teatro dell'Opera di Roma", "FIU Stadium", "William \"Dick\" Price Stadium", "Nationals Park", "Pride Park Stadium", "Racquet Club of Memphis", "Chicago Stadium", "Mackay Stadium", "Wicomico Youth and Civic Center", "Comcast Arena", "Barclays Center", "Raymond James Stadium", "King's Theatre, Glasgow", "Moody Coliseum", "Olympic Stadium Munich", "Stade Auguste Bonal", "CenturyLink Field", "1stBank Center", "O2 Arena", "Camelback Ranch", "Ferguson Center for the Arts", "Ricoh Arena", "Barabati Stadium", "MaxiparkArena", "Lone Star Amphitheater", "Stade Geoffroy-Guichard", "Marlins Park", "Soccer City", "Heartland Events Center", "Richmond Coliseum", "Show Me Center", "Dunkin' Donuts Center", "Landmark Theatre", "Shakespeare's Globe", "Uptown Theater", "Birmingham–Jefferson Convention Complex", "Massey Hall", "Cobb Energy Performing Arts Centre", "Teatro Colón, Buenos Aires", "Türk Telekom Arena", "El Sadar Stadium", "Firhill Stadium", "Old Trafford", "BancorpSouth Arena", "State Theatre", "Canton Memorial Civic Center", "Benjamin and Marian Schuster Performing Arts Center", "Bankers Life Fieldhouse", "Mile One Centre", "Western Hall", "Bristol Hippodrome", "New Wimbledon Theatre", "Michie Stadium", "Rio Tinto Stadium", "Sears Centre Arena", "Wankhede Stadium", "Charlotte Coliseum", "Bryce Jordan Center", "Canberra Stadium", "Hill 16", "Charles E. Smith Athletic Center", "Veterans Memorial Coliseum", "Citi Field", "Alabama Theatre", "Hampton Coliseum", "Royal Melbourne Showgrounds", "OlympiaWorld Innsbruck", "Mohegan Sun Arena at Casey Plaza", "The Home Depot Center", "Lyric Theatre, Sydney", "Kay Bailey Hutchison Convention Center", "Great American Ball Park", "Bartow Arena", "Cardiff Arena", "Sheikh Khalifa International Stadium", "Sullivan Arena", "Alerus Center", "Tennessee Theatre", "PNC Arena", "Old National Centre", "Lane Stadium", "Crisler Center", "Palais des Sports", "Indiana University Auditorium", "Bobcat Stadium", "Kingfield Stadium", "Regent Theatre, Melbourne", "Riverside Stadium", "Target Field", "Phoenix Municipal Stadium", "Kauffman Center for the Performing Arts", "Conte Forum", "BI-LO Center", "Vaught–Hemingway Stadium", "The Egg", "Gershwin Theatre", "Fox Theatre", "Sovereign Center", "Grand Theatre, Leeds", "Towson Center", "Lucas Oil Stadium", "Pharr International Convention Center", "State Theatre", "Stade de France", "Fenway Park", "Marin County Civic Center", "The Centre In Vancouver for Performing Arts", "Cow Palace", "Stadio Antonio Bianco", "Martin Stadium", "Peter Mokaba Stadium", "Coronado Performing Arts Center", "Nokia Theatre L.A. Live", "Pensacola Civic Center", "Congress Theatre", "Nippert Stadium", "PalaLottomatica", "Celtic Park", "Kitchener Memorial Auditorium Complex", "Ahmanson Theatre", "Avery Fisher Hall", "Philips Stadion", "Bowers Stadium", "National Stadium, Bukit Jalil", "Ibrox Stadium", "Jorgensen Center for the Performing Arts", "Independence Events Center", "WesBanco Arena", "USF Sun Dome", "Save-On-Foods Memorial Centre", "Wells Fargo Center", "Gachibowli Athletic Stadium", "Beijing National Stadium", "Glasgow Royal Concert Hall", "RiverCenter for the Performing Arts", "Donau Arena", "St. Augustine Amphitheatre", "Coors Field", "Principal Park", "Cleveland Stadium", "TD Waterhouse Stadium", "Winthrop Coliseum", "Kiel Auditorium", "Scotiabank Place", "Yankee Stadium", "Flens-Arena", "Allen Event Center", "Keller Auditorium", "Carlson Center", "Eden Gardens", "Ems-Hölle", "Rajamangala Stadium", "The Time Warner Cable Arena", "San Francisco Airport Marriott Waterfront", "Salt Lake Stadium", "Millerntor-Stadion", "Safeco Field", "Busch Stadium", "Venue Cymru", "Long Beach Convention and Entertainment Center", "U.S. Bank Arena", "Redbird Arena", "Gigantium", "Emens Auditorium, Ball State University", "Auburn Arena", "Swedbank Stadion", "Von Braun Center", "Faliro Coastal Zone Olympic Complex", "Miami Orange Bowl", "Lyceum Theatre", "Opéra Bastille", "Estadio Monumental Antonio Vespucio Liberti", "Municipal Auditorium", "Salvus-Stadion am Grevener Damm", "The Gabba", "Arena Theatre", "Marina Civic Center", "Don Haskins Center", "K-Rock Centre", "White Hart Lane", "Stabler Arena", "Cheltenham Racecourse", "Camille Chamoun Sports City Stadium", "Amsterdam Arena", "Princess of Wales Theatre", "Minute Maid Park", "Ralph Engelstad Arena", "Charles Koch Arena", "FAU Stadium", "Auditorio Banamex", "Floyd Casey Stadium", "Pioneer Center for the Performing Arts", "Oslo Opera House", "Harry A. Gampel Pavilion", "National Ice Centre", "Challenge Stadium", "Gayfield Park", "Tampereen jäähalli", "Bobby Dodd Stadium", "Liverpool Empire Theatre", "Hancock Stadium", "Concertgebouw, Amsterdam", "Salle Wilfrid-Pelletier, Montreal", "University of Phoenix Stadium", "U.S. Cellular Center", "Rialto Theatre", "Bord Gáis Energy Theatre", "Morris Performing Arts Center", "Wembley Stadium", "Ethias Arena", "Mississippi Coliseum", "Sam Boyd Stadium", "Regent Theatre, Dunedin", "Tad Gormley Stadium", "Fratton Park", "Sudbury Community Arena", "Mahalia Jackson Theater of the Performing Arts", "Fargodome", "Tulalip Resort Casino", "Harvard Stadium", "Columbus Crew Stadium", "Arena Nova", "Majestic Theater", "Memorial Gymnasium", "Lawlor Events Center", "AFAS Stadion", "Camp Randall Stadium", "BB&T Center", "Palau d'Esports de Granollers", "Sleuyter Arena", "Spreckels Theater", "Beaver Stadium", "Rec Hall", "Hammerstein Ballroom", "Nelson W. Wolff Municipal Stadium", "Al-Aqsa Mosque", "Consol Energy Center", "Fox Theater Pomona", "Hartwall Areena", "Worthington Arena", "Value City Arena at the Jerome Schottenstein Center", "Scottrade Center", "Mountaineer Field at Milan Puskar Stadium", "Rimrock Auto Arena at MetraPark", "Strahan Coliseum", "Estadi Ciutat de València", "Matthew Knight Arena", "The Valley", "Washington–Grizzly Stadium", "Austin Convention Center", "Nutter Center", "Dvorana Mirza Delibašić", "Asim Ferhatović Hase Stadium", "Brisbane Entertainment Centre", "Pavilion Theatre", "Jazz at Lincoln Center", "Stadion der Freundschaft", "Vienna State Opera", "Orleans Arena", "Brown Stadium", "Lambeau Field", "Queen Elizabeth Theatre", "Forrest Theatre", "Cam Henderson Center", "Stade Vélodrome", "Civic Arena", "Lawson Arena", "Vancouver Convention Centre", "Go Dau Stadium", "Grand Lake Theater", "Cheney Stadium", "Croke Park", "Texas Stadium", "Nationwide Arena", "National Auditorium of Music", "Quicken Loans Arena", "Nassau Veterans Memorial Coliseum", "Palace Theatre", "Angel Stadium of Anaheim", "BJK İnönü Stadium", "Lord's Cricket Ground", "California Memorial Stadium", "Carver–Hawkeye Arena", "Santiago Bernabéu Stadium", "Marion Palace Theatre", "Ajinomoto Stadium", "Soldiers and Sailors Memorial Auditorium", "Jim Patterson Stadium", "The Lighthouse", "Sydney Cricket Ground", "Astana Arena", "Suncorp Stadium", "Robina Stadium", "Winnipeg Arena", "Estádio Olímpico João Havelange", "Madison Square Garden", "Ericsson Globe", "The Elgin Theatre", "Saratoga Performing Arts Center", "Frank Erwin Center", "Glens Falls Civic Center", "U.S. Cellular Arena", "WACA Ground", "Maple Leaf Gardens", "Peabody Auditorium", "Mayo Civic Center", "Town Toyota Center", "Falcon Stadium", "Football Park", "The Hawthorns", "Allen Fieldhouse", "László Papp Budapest Sports Arena", "Tulane Stadium", "EWE Arena", "Metalist Oblast Sports Complex", "Orpheum Theatre", "Amon G. Carter Stadium", "Putra Indoor Stadium", "El Paso County Coliseum", "Anhalt Arena", "Durham Bulls Athletic Park", "Deltaplex Arena & Conference Center", "Honda Center", "Whistler Sliding Centre", "Abe Lenstra Stadion", "Tampa Stadium", "Ben Hill Griffin Stadium", "Le Transbordeur", "Reser Stadium", "Usher Hall, Edinburgh", "Gaillard Municipal Auditorium", "London Velopark", "Regent Theatre", "Millennium Stadium", "Penydarren Park", "La Romareda", "Iberostar Stadium", "Stechert Arena", "Molineux Stadium", "Swayze Field", "Dorton Arena", "Bojangles' Coliseum", "Alfond Arena", "Le Grand Rex", "Hill Auditorium", "Her Majesty's Theatre, Melbourne", "Verizon Wireless Arena", "Sony Centre for the Performing Arts", "War Memorial Auditorium", "American Bank Center", "Vicente Calderón Stadium", "Detroit Opera House", "Plymouth Pavilions", "Churchill Downs", "Tyson Events Center", "KC Stadium", "Miami Beach Convention Center", "Mackey Arena", "Gersten Pavilion", "Sioux Falls Arena", "Whistler Olympic Park", "MacInnes Student Ice Arena", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Princess Theatre, Torquay", "Stanford Stadium", "The Concert Hall in Aarhus", "US Airways Center", "Cedar Park Center", "Capitol Theatre", "Bob Devaney Sports Center", "Capitol Theatre, Sydney", "Verizon Wireless Amphitheatre", "Skelly Field at H. A. Chapman Stadium", "Ordway Center for the Performing Arts", "Canad Inns Stadium", "Cobo Center", "Al-Hamadaniah Stadium", "Kohl Center", "Agora Theatre and Ballroom", "Haas Pavilion", "Stadio Renato Dall'Ara", "Şükrü Saracoğlu Stadium", "Camp Nou", "Javelina Stadium", "National Hockey Stadium", "Air Canada Centre", "Yost Ice Arena", "The Broadway Theatre", "Gaiety Theatre, Dublin", "Hofburg Palace", "New World Stages", "Calihan Hall", "Roundhouse", "Enmore Theatre", "Stadio Renato Curi", "Hammersmith Palais", "First Arena", "Kungliga tennishallen", "O'Connell Center", "Adriatic Arena", "Hyde Park Picture House, Leeds", "Louis Brown Athletic Center", "Grand Ole Opry", "Weserstadion", "Hallenstadion", "Majestic Theatre", "Chester Fritz Auditorium", "Estadio Tetelo Vargas", "Olympic Stadium", "Cricket Wireless Amphitheatre", "Riverside Theater", "Valley View Casino Center", "Veterans Memorial Auditorium", "Stadio Olimpico", "Eisarena Salzburg", "Donald L. Tucker Center", "Spartak Stadium", "Melbourne Cricket Ground", "Arena do Grêmio", "Somerset Park", "Olympic Stadium", "Ikast-Brande Arena", "Mid-America Center", "Shotwell Stadium", "Emirates Stadium", "Western Springs Stadium", "Marquis Theatre", "Lakefront Arena", "Jobing.com Arena", "Kingsmeadow", "Independence Stadium", "Estadio Cubierto Newell's Old Boys", "Goodman Stadium", "Scott Stadium", "XL Center", "Red Rocks Amphitheatre", "Westfalenstadion", "Rose Bowl", "Wells Fargo Arena", "Estádio da Luz", "Dodger Stadium", "Methodist Central Hall Westminster", "BankUnited Center", "Stanley Park Stadium", "Fox Theatre", "Prospera Place", "Alpine Valley Music Theatre", "BC Place", "Gerald J. Ford Stadium", "Tower Theater", "Ice Palace \"Ural Lightning\"", "Bill Graham Civic Auditorium", "Izod Center", "Osceola County Stadium", "Utica Memorial Auditorium", "Festival Hall", "Manchester Arena", "Alamo Stadium", "Kibbie Dome", "Georgia Dome", "Kenan Memorial Stadium", "1st Mariner Arena", "Sleep Train Amphitheatre", "Wells Fargo Arena", "Winter Garden Theatre", "U.S. Cellular Coliseum", "Capitol Theatre", "New Theatre Oxford", "Capitol Theatre", "Three Rivers Stadium", "Amway Center", "Savannah Civic Center", "Bud Walton Arena", "Velodrom", "Tilles Center for the Performing Arts", "Savoy Cinema", "Palais Garnier", "Peoria Civic Center", "Kidd Brewer Stadium", "Ricoh Coliseum", "The Pavilion", "Peterborough Memorial Centre", "Romney Stadium", "Broward Center for the Performing Arts", "Charles C. Hughes Stadium", "Krannert Center for the Performing Arts", "König Pilsener Arena", "E. A. Diddle Arena", "AT&T Center", "Bridgestone Arena", "Hampden Park", "Giant Center", "Estadio De Béisbol Héctor Espino", "Knoxville Civic Auditorium and Coliseum", "Sun Devil Stadium", "Scandinavium", "Auditorio Telmex", "CFSB Center", "Stadion im. Tadeusza Ślusarskiego", "Pennsylvania Convention Center", "Owensboro Sports Center", "D.C. Armory", "Marriott Center", "UNF Arena", "BMO Field", "Peden Stadium", "Verizon Center", "McKenzie Arena", "Wang Theatre", "Verizon Arena", "National Auditorium", "Maverik Center", "Brighton Centre", "Duluth Entertainment Convention Center", "BOK Center", "Adelaide Oval", "Lynah Rink", "McKale Center", "Max-Schmeling-Halle", "Reebok Stadium", "Admiralspalast", "Palais Theatre", "Town Hall", "ARCO Arena I", "Hanover Theatre for the Performing Arts", "Schermerhorn Symphony Center", "Pauley Pavilion", "Colston Hall", "The Orbit Room", "Citi Performing Arts Center", "The Joint", "Vikings Stadium", "Stranahan Theater", "Rhodes Stadium", "Gigg Lane", "Swedbank Park", "PNC Bank Arts Center", "Sprint Center", "Stockton Arena", "Estadio Ciudad de Santiago del Estero", "Star Plaza Theatre", "Foxboro Stadium", "Raleigh Convention Center", "Frederiksberghallen", "Preußenstadion", "Craven Cottage", "Cape Town Stadium", "INB Performing Arts Center", "Cowboys Stadium", "Wagner Noel Performing Arts Center", "Victoria Hall, Hanley", "Manchester Opera House", "Stan Sheriff Center", "Kimmel Arena", "First Niagara Center", "Academy of Music", "Daytona International Speedway", "Chacarita Juniors Stadium", "CenturyLink Center", "Hi Corbett Field", "Olympic Stadium", "GelreDome", "Qualcomm Stadium", "Uptown Theatre", "Allianz Stadium", "EverBank Field", "New Road, Worcester", "Matthews Arena", "Calvin Gilmore Theater", "Rose Garden", "Alex Box Stadium/Skip Bertman Field", "War Memorial Stadium", "United Spirit Arena", "Giants Stadium", "Rhein-Neckar Arena", "John F. Kennedy Stadium", "Warner Theatre", "The Palace of Auburn Hills", "Comerica Park", "Agganis Arena", "Cynthia Woods Mitchell Pavilion", "National Indoor Arena", "London Palladium", "Stade du Moustoir", "Creighton Orpheum Theater", "Minskoff Theatre", "Hobby Center for the Performing Arts", "Carter–Finley Stadium", "Ashton Gate Stadium", "Tokyo Dome City", "New Jersey Performing Arts Center", "Tuacahn", "Edgbaston Cricket Ground", "Eastman Theatre", "Yokohama Arena", "Meadow Park", "Expo Square Pavilion", "Johnny Unitas Stadium", "Dee Events Center", "Nuremberg Arena", "Royal Theatre Carré", "Riverfront Stadium", "Boone Pickens Stadium", "Lawrence Joel Veterans Memorial Coliseum", "Echo Arena Liverpool", "Gaylord Family Oklahoma Memorial Stadium", "MassMutual Center", "Suheim Bin Hamad Stadium", "Dow Event Center", "Orpheum", "Robinson Center, Little Rock", "Norva Theatre", "New Amsterdam Theatre", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Royal Bafokeng Stadium", "Ross–Ade Stadium", "Estadio Racing Club", "AT&T Park", "Verizon Wireless Amphitheater", "Covelli Centre", "Antarès", "Moses Mabhida Stadium", "HP Pavilion at San Jose", "BMO Harris Bank Center", "HMV Forum", "TipsArena", "Toyota Stadium", "Rupp Arena", "Folsom Field", "Four Seasons Centre for the Performing Arts", "Commonwealth Stadium", "River Center Arena", "Stadio delle Alpi", "Rabobank Arena", "Ladd Peebles Stadium", "Spokane Veterans Memorial Arena", "Convocation Center", "Carrara Stadium", "Auditorium-Orchestre National de Lyon", "Estadio Universitario", "Stadio Olimpico di Torino", "Stade Armand Cesari", "Shoreline Amphitheatre", "Estádio do Maracanã", "Androscoggin Bank Colisée", "Fifth Third Arena", "Frankfurter Volksbank Stadion", "Morton H. 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"8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000202, "question": "how many short non-fictions are about the united states?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000300, "question": "how many short books about united states of america fall under non-fiction?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000301, "question": "how many short books about us fall under non-fiction?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000302, "question": "how many short books about united states fall under non-fiction?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000400, "question": "the united states of america has how many short non-fictions about it?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000401, "question": "the us has how many short non-fictions about it?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 116000402, "question": "the united states has how many short non-fictions about it?", "answer": [ "8" ], "function": "count", "commonness": -10.96133737549017, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.short_non_fiction", "class": "book.short_non_fiction", "friendly_name": "Short Non-fiction", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "book.book_subject", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.book_subject.works", "friendly_name": "Works Written About This Topic" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.short_non_fiction . \nVALUES ?x1 { :en.united_states_of_america } \n?x1 :book.book_subject.works ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000000, "question": "what is the longest ship that participated in the american civil war?", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000100, "question": "find the longest ship in the american civil war.", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000200, "question": "what was the longest ship in the american civil war?", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000300, "question": "can you find the longest ship that exsisted in the american civil war?", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000400, "question": "which ship is the longest in the american civil war?", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 117000500, "question": "the ship with the longest frame in the civil war was known by what name?", "answer": [ "CSS Virginia" ], "function": "argmax", "commonness": -17.061329211024695, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.americancivilwar.ship", "class": "base.americancivilwar.ship", "friendly_name": "Ship", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "83.8^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "83.8", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "boats.ship.length_overall", "friendly_name": "Length overall" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.americancivilwar.ship . \n{\nSELECT (MAX(?y1) AS ?x1) WHERE { \n?y0 :type.object.type :base.americancivilwar.ship . \n?y0 :boats.ship.length_overall ?y1 . \nFILTER ( ?y0 != ?y1 )\n}\n}\n?x0 :boats.ship.length_overall ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000000, "question": "what venues can hold 1417 people or more?", "answer": [ "Matthew Knight Arena", "Hinkle Fieldhouse", "Grand Olympic Auditorium", "Gersten Pavilion", "Holy Name Cathedral, Chicago", "Hill 16", "National Concert Hall, Dublin", "Orange County Convention Center", "Anfield", "Miami Beach Convention Center", "Minskoff Theatre", "New I-Mobile Stadium", "Gill Coliseum", "Memorial Gymnasium", "Toyota Center", "Alamo Stadium", "Capitol Theatre", "Palais Garnier", "Giant Center", "Commerzbank-Arena", "Nassau Veterans Memorial Coliseum", "Bryce Jordan Center", "Türk Telekom Arena", "Clark–LeClair Stadium", "Tynecastle Stadium", "UFCU Disch–Falk Field", "The Louisville Palace", "Yale Bowl", "Cajun Field", "Surprise Stadium", "The O2 Arena", "Huntington Center", "JQH Arena", "Nelson Mandela Bay Stadium", "Tokyo Dome City", "K-Rock Centre", "Nokia Theatre L.A. Live", "The Hawthorns", "Stade Armand Cesari", "Wells Fargo Arena", "Columbus Civic Center", "Theatre Royal, Glasgow", "Aronoff Center", "I Wireless Center", "Cox Convention Center", "Opéra Bastille", "Meadow Park", "Chrysler Hall", "König Pilsener Arena", "Charleston Civic Center", "Riverside Stadium", "Stanford Stadium", "Saint Paul RiverCentre", "Toyota Park", "Sun Life Stadium", "Amman International Stadium", "Futurist Theatre", "Moncton Coliseum", "Oakdale Theatre", "Plymouth Pavilions", "Lone Star Amphitheater", "Cheney Stadium", "Gibson Amphitheatre", "Curb Event Center", "Uptown Theatre", "Ralph Engelstad Arena", "Pauley Pavilion", "TD Ameritrade Park Omaha", "The Valley", "Majestic Theater", "Koning Willem II Stadion", "Westpac Stadium", "Sadler's Wells Theatre", "Charles Koch Arena", "Hancock Stadium", "Don Haskins Center", "Pride Park Stadium", "Morris Performing Arts Center", "Huish Park", "Rice Stadium", "Methodist Central Hall Westminster", "Auditorium Parco della Musica", "Fox Theatre", "Grugahalle", "Miller Outdoor Theatre", "Gachibowli Indoor Stadium", "Liverpool Empire Theatre", "Cowtown Coliseum", "Eisstadion Weißwasser", "Loftus Road", "Orpheum Theatre", "Thunder Bay Community Auditorium", "Stadium Australia", "Expo Square Pavilion", "Liacouras Center", "Big Sandy Superstore Arena", "The Joint", "Esplanade - Theatres on the Bay, Singapore", "Bellerive Oval", "Williams Arena", "Murrayfield Ice Rink", "Air Canada Centre", "Susquehanna Bank Center", "Martin Stadium", "Saoud bin Abdulrahman Stadium", "Centre In The Square", "The Orbit Room", "Thompson–Boling Arena", "Chase Field", "Ross–Ade Stadium", "Braehead Arena", "Alabama Theatre", "Event Center Arena", "Estadio Julio Humberto Grondona", "Cricket Wireless Amphitheatre", "Raleigh Convention Center", "Empire, Leicester Square", "National Auditorium of Music", "Bord Gáis Energy Theatre", "Sanford Stadium", "Veltins-Arena", "AT&T Park", "William D. Mullins Memorial Center", "Victoria Hall, Hanley", "O2 World", "Star Plaza Theatre", "Count Basie Theatre", "Pauley Pavilion", "Old National Centre", "Goss Stadium at Coleman Field", "Lander's Center", "Taco Bell Arena", "Adriatic Arena", "Vaught–Hemingway Stadium", "Antarès", "Teatro degli Arcimboldi", "Arena do Grêmio", "Sovereign Center", "State Theatre", "State Theatre", "Fox Theatre", "Phoenix Municipal Stadium", "PPL Park", "Arsenal Stadium", "Bahrain National Stadium", "Sparkassen-Erzgebirgsstadion", "Rugby Park", "Thebarton Theatre", "Anhalt Arena", "Zénith d'Orléans", "FAU Stadium", "Montgomery Performing Arts Centre", "Welsh-Ryan Arena", "Town Hall", "Kampa-Halle", "Tucson Convention Center", "Wang Theatre", "Congress Theater", "Kimmel Arena", "Ted Constant Convocation Center", "FedExForum", "Arlington Stadium", "Mayo Civic Center", "Ashton Gate Stadium", "Minute Maid Park", "Coliseum Alfonso Pérez", "First Niagara Center", "Harry A. Gampel Pavilion", "TD Waterhouse Stadium", "Churchill Downs", "Cotton Bowl", "Millerntor-Stadion", "Waterfront Hall", "New Amsterdam Theatre", "Osaka Dome", "Kinnick Stadium", "Palais des congrès de Paris", "Carlson Center", "Brighton Centre", "Elispace", "Central Park, Cowdenbeath", "Estadio Cubierto Newell's Old Boys", "Municipal Auditorium", "Ullevi", "McKenzie Arena", "Emens Auditorium, Ball State University", "Reliant Astrodome", "Sheikh Khalifa International Stadium", "Florence Civic Center", "Joe Louis Arena", "Joseph P. Riley, Jr. Park", "University at Buffalo Stadium", "New Jersey Performing Arts Center", "Hampden Park", "Estadio Azteca", "High Point Solutions Stadium", "Eden Gardens", "Le Transbordeur", "Citi Field", "Ford Field", "Olympia Ice Center", "Green Point Stadium", "Hampton Convocation Center", "Blue Cross Arena", "Regent Theatre, Dunedin", "Challenge Stadium", "Summum", "Miller Park", "Marina Civic Center", "MGM Grand Garden Arena", "Mestalla Stadium", "Busch Stadium", "Franklin Field", "Bramall Lane", "Olympic Stadium", "Reliant Stadium", "Aloha Stadium", "Resch Center", "Glens Falls Civic Center", "Sunderland Empire Theatre", "Spokane Veterans Memorial Arena", "Teatro dell'Opera di Roma", "Hokkaido Prefectural Sports Center", "Petersen Events Center", "Al-Aqsa Mosque", "Mosaic Stadium at Taylor Field", "Mississippi Coliseum", "Camille Chamoun Sports City Stadium", "Majestic Theatre", "Community Arts Center", "Olympia Bruno Coquatrix", "Scotiabank Saddledome", "Soccer City", "Birmingham Hippodrome", "Doak Campbell Stadium", "Van Andel Arena", "Cedar Rapids Ice Arena", "Chicago Stadium", "Memorial Stadium, Lincoln", "Wagner Noel Performing Arts Center", "Shoreline Amphitheatre", "Queen Elizabeth Theatre", "Marlins Park", "Old Trafford", "Citizens Bank Park", "River Center Arena", "Kauffman Stadium", "Rentschler Field", "László Papp Budapest Sports Arena", "Aggie Stadium", "Cannon Center-Performing Arts", "Palais des Sports", "Kingfield Stadium", "Stadion der Freundschaft", "Miami Arena", "Nippon Budokan", "Ricoh Arena", "Percival Molson Memorial Stadium", "AFAS Stadion", "Rose Bowl", "Stade de la Route de Lorient", "Granada Theater", "Nelson W. Wolff Municipal Stadium", "Reser Stadium", "Riviera Theatre", "Beaver Stadium", "Barclays Center", "Esprit Arena", "Pennsylvania Convention Center", "Estadio Fortunato Bonelli", "Ninian Park", "Independence Stadium", "East Fremantle Oval", "Wiener Stadthalle Hall D", "Saban Theatre", "Auburn Arena", "Verizon Arena", "Aviva Stadium", "North Shore Music Theatre", "Indiana University Auditorium", "Lane Stadium", "Foxwoods Theatre", "Wolverhampton Civic Hall", "La Romareda", "Nikon at Jones Beach Theater", "Kingsmeadow", "Nashville Municipal Auditorium", "Warner Theatre", "Cam Henderson Center", "Yubileyny Sports Palace", "EnergyAustralia Stadium", "Jorgensen Center for the Performing Arts", "Romney Stadium", "Kyle Field", "Zenith Arena", "Clyde Auditorium", "Wings Stadium", "King Power Stadium", "Royal Melbourne Showgrounds", "Creighton Orpheum Theater", "Admiralspalast", "Seminole Hard Rock Hotel and Casino Hollywood", "MassMutual Center", "Allen County War Memorial Coliseum", "National Ice Centre", "W. L. Zorn Arena", "Stamford Bridge", "De Montfort Hall", "Rexall Centre", "Progressive Field", "AWD Hall", "Soldiers and Sailors Memorial Auditorium", "Stadthalle Hagen", "Louis Brown Athletic Center", "Red Bull Arena", "U.S. Bank Arena", "National Theatre", "Melbourne Multi Purpose Venue", "Skelly Field at H. A. Chapman Stadium", "Carrier Dome", "Princess Theatre, Torquay", "Broome County Veterans Memorial Arena", "Wicomico Youth and Civic Center", "Target Center", "Molson Canadian Amphitheatre", "Estadio Monumental Antonio Vespucio Liberti", "Deva Stadium", "CFSB Center", "Singapore Indoor Stadium", "Worthington Arena", "Campo de Fútbol de Vallecas", "Iberostar Stadium", "Pantages Theatre", "The Pavilion", "Donbass Arena", "Jazz at Lincoln Center", "Papa John's Cardinal Stadium", "Orleans Arena", "Veterans Memorial Auditorium", "Golden Gate Theatre", "Santiago Bernabéu Stadium", "Dowdy–Ficklen Stadium", "Winthrop Coliseum", "Craven Cottage", "Point Theatre", "Bojangles' Coliseum", "Abbotsford Entertainment & Sports Centre", "Swedbank Stadion", "Beijing National Aquatics Center", "Brown Stadium", "Husky Stadium", "BOK Center", "Winter Garden Theatre", "Peterborough Memorial Centre", "Palestra", "Stadio Giovanni Zini", "Balaídos", "Glücksgas Stadium", "Tuacahn", "Sudbury Community Arena", "The Bank of Kentucky Center", "Scotiabank Place", "O2 Arena", "Stade Francis-Le Blé", "Sleep Train Amphitheatre", "DTE Energy Music Theatre", "Foreman Field", "Petco Park", "Cassell Coliseum", "EnergySolutions Arena", "PNC Park", "Mile One Centre", "Olympic Stadium", "BancorpSouth Arena", "Jenny Craig Pavilion", "CenturyLink Center Omaha", "Bangalore Football Stadium", "Hollywood Bowl", "TSB Bank Arena", "National Auditorium", "Yost Ice Arena", "Comcast Arena", "Grand Theatre, Leeds", "Covelli Centre", "McCoy Stadium", "Barrie Molson Centre", "Estadio Universitario", "Norva Theatre", "Tampa Bay Times Forum", "Norfolk Scope Arena", "Rhodes Stadium", "Allen Fieldhouse", "New York City Center", "Weserstadion", "Orpheum", "Verizon Wireless Arena", "BB&T Field", "Wallace Wade Stadium", "Sleep Train Arena", "Twickenham Stadium", "De Doelen", "Metalist Oblast Sports Complex", "Mediolanum Forum", "Adelaide Oval", "World Arena, Colorado Springs", "Anaheim Convention Center", "Foro Sol", "San Diego Civic Theatre", "Amway Center", "Memorial Stadium", "M&T Bank Stadium", "Kenan Memorial Stadium", "O2 Academy Liverpool", "Centre Court", "Autzen Stadium", "Vanderbilt Stadium", "Cumberland County Civic Center", "Hartwall Areena", "Estádio do Bessa", "Molineux Stadium", "Ivor Wynne Stadium", "National Stadium, Bukit Jalil", "Coface Arena", "Spartak Stadium", "Amsterdam Arena", "Kelly/Shorts Stadium", "Roxy Theatre", "Cleveland Stadium", "Lunt-Fontanne Theatre", "Thani bin Jassim Stadium", "Zellerbach Hall", "Vines Center", "Qualcomm Stadium", "Louise M. Davies Symphony Hall", "Manchester Arena", "Great American Ball Park", "New Road, Worcester", "Bill Snyder Family Football Stadium", "Lakefront Arena", "Headingley Stadium", "Volleyball Sportiv Complex", "Chacarita Juniors Stadium", "Gachibowli Athletic Stadium", "Eastman Theatre", "Colston Hall", "Nutter Center", "Palais Omnisports de Paris-Bercy", "Shotwell Stadium", "Stade de Gerland", "Civic Arena", "Cypress Mountain Ski Area", "Four Seasons Centre for the Performing Arts", "Commonwealth Stadium", "Rec Hall", "US Airways Center", "Salem Civic Center", "Emirates Stadium", "Ricoh Coliseum", "Nuremberg Arena", "Cobb Energy Performing Arts Centre", "Calihan Hall", "WVU Coliseum", "Hi Corbett Field", "GCS Ballpark", "The Concert Hall in Aarhus", "Toyota Stadium", "Stade de la Mosson", "Ben Hill Griffin Stadium", "Auckland Civic Theatre", "Reebok Stadium", "Theodoros Kolokotronis Stadium", "Gigg Lane", "Perth Arena", "Cynthia Woods Mitchell Pavilion", "BMO Harris Bradley Center", "Savoy Cinema", "Jones AT&T Stadium", "Zénith de Strasbourg", "San Jose Center For The Performing Arts", "Croke Park", "Academy of Music", "Neil Simon Theatre", "Duluth Entertainment Convention Center", "Fox Theatre", "Memorial Stadium", "Nationals Park", "HP Pavilion at San Jose", "Mahalia Jackson Theater of the Performing Arts", "BJK İnönü Stadium", "Marina Bay Sands", "Knapp Center", "Braly Municipal Stadium", "KC Stadium", "Stockholm Olympic Stadium", "Jiffy Lube Live", "Twickenham Stoop", "Memorial Stadium", "Jim Patterson Stadium", "O2 World", "Cole Field House", "London Palladium", "Venue Cymru", "Symphony Hall, Birmingham", "Marin County Civic Center", "Mountaineer Field at Milan Puskar Stadium", "Galen Center", "Dominion Theatre", "Smart Araneta Coliseum", "Michie Stadium", "Aggie Stadium", "Utica Memorial Auditorium", "The Time Warner Cable Arena", "Loftus Versfeld Stadium", "Byrd Stadium", "Harvard Stadium", "Estadi Ciutat de València", "U.S. Cellular Arena", "Memorial Stadium", "Stadio Olimpico", "Teatro di San Carlo, Naples", "Save Mart Center", "Prospera Place", "Stadion im. Tadeusza Ślusarskiego", "First Arena", "Manchester Central Convention Complex", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Auditorium-Orchestre National de Lyon", "Camp Randall Stadium", "Laredo Energy Arena", "Scandinavium", "Goggin Ice Arena", "Alexandra Palace", "Royal Theatre Carré", "The O2", "Sun Bowl Stadium", "Salt Lake Stadium", "Rajamangala Stadium", "E. A. Diddle Arena", "MetLife Stadium", "Stade du Hameau", "Le Grand Rex", "Tannadice Park", "Honda Center", "Davis Wade Stadium", "Fir Park", "Estadio de Béisbol Monterrey", "Pershing Center", "Megasport Arena", "New York Hippodrome", "Allianz Stadium", "Centennial Stadium", "Massey Hall", "Shea Stadium", "Ems-Hölle", "Stadio Renato Dall'Ara", "Spreckels Theater", "TipsArena", "Mohegan Sun Arena", "Britannia Stadium", "Verizon Wireless Amphitheatre", "James A. Rhodes Arena", "AT&T Center", "Robertson Stadium", "York Park", "Avery Fisher Hall", "Vector Arena", "EverBank Field", "Camelback Ranch", "Tiger Stadium", "Barabati Stadium", "Sleep Train Pavilion", "Amon G. Carter Stadium", "O2 Academy Glasgow", "BB&T Center", "Hult Center for the Performing Arts", "Westfalenstadion", "U.S. Cellular Coliseum", "The Music Hall", "Astana Arena", "USF Sun Dome", "Coors Events Center", "Pepsi Center", "Western Springs Stadium", "Jobing.com Arena", "Allianz Arena", "Frankfurter Volksbank Stadion", "The Egg", "Curry Hicks Cage", "E Werk", "HMV Forum", "U.S. Cellular Center", "Family Arena", "Bobcat Stadium", "Jeld-Wen Field", "Fife Ice Arena", "State Theatre", "Goodman Stadium", "Peoria Civic Center", "Krannert Center for the Performing Arts", "Pittodrie Stadium", "Alamodome", "Winspear Opera House, Dallas", "Spartan Stadium", "Lyric Opera House", "Five Flags Center", "Target Field", "Manchester Central Convention Complex", "Underhill Stadium", "Palace Theatre, Melbourne", "Philips Stadion", "Allphones Arena", "Yakima SunDome", "St James' Park", "Folsom Field", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Silverdome", "Charles E. Smith Athletic Center", "Parc des Sports", "Lord's Cricket Ground", "Stadio Artemio Franchi", "Lawrence Joel Veterans Memorial Coliseum", "Hard Rock Hotel and Casino", "Gold Coast Convention and Exhibition Centre", "Grand Lake Theater", "Chavez Theatre", "Hubert H. Humphrey Metrodome", "Deltaplex Arena & Conference Center", "TCF Bank Stadium", "Estadio Benito Villamarín", "Donald W. Reynolds Razorback Stadium", "Notre Dame Stadium", "Max-Schmeling-Halle", "Stade du Moustoir", "Beijing National Aquatics Center", "Frank Erwin Center", "Heinz Field", "Ladd Peebles Stadium", "Dean Smith Center", "Whistler Sliding Centre", "Ericsson Globe", "Royal Agricultural Hall", "Cintas Center", "Melching Field at Conrad Park", "WesBanco Arena", "KeyArena", "Chaifetz Arena", "LP Field", "Pharr International Convention Center", "Sprint Center", "Abe Lenstra Stadion", "Tate Rink", "Gigantium", "Bobby Dodd Stadium", "Stuart C. Siegel Center", "Estadio Nuevo José Zorrilla", "BC Place", "Veterans Memorial Coliseum", "Adelphi Theatre", "Millennium Stadium", "Arizona Stadium", "Roberts Municipal Stadium", "Estadio Racing Club", "Stade Sébastien Charléty", "London Coliseum", "Bloomfield Road", "Swayze Field", "BI-LO Center", "London Astoria", "Palace Theatre, Manchester", "Colonial Life Arena", "Broward Center for the Performing Arts", "Wrigley Field", "Sullivan Athletic Center", "Ice Palace \"Ural Lightning\"", "Tacoma Dome", "Spartan Stadium", "Salle Wilfrid-Pelletier, Montreal", "Nippert Stadium", "WACA Ground", "Fillmore Auditorium", "Tyson Events Center", "Gaylord Family Oklahoma Memorial Stadium", "Liberty Bank Stadium", "Calvin Gilmore Theater", "Estadio Marcelo Bielsa", "PalaLottomatica", "Boone Pickens Stadium", "KFC Yum! Center", "Asim Ferhatović Hase Stadium", "Cadillac Palace Theatre", "Consol Energy Center", "Cow Palace", "Crisler Center", "Ralph Engelstad Arena", "Stan Sheriff Center", "John E. Worthen Arena", "Eisarena Salzburg", "Stadio Renato Curi", "Teatro alla Scala", "Webster Bank Arena", "Ibrox Stadium", "Hallenstadion", "Beijing National Stadium", "Los Angeles Memorial Coliseum", "Estadio Tetelo Vargas", "Ussishkin", "Volkswagen Arena", "Cambria County War Memorial Arena", "Alex Box Stadium/Skip Bertman Field", "Roy Wilkins Auditorium", "Hillsborough Stadium", "UNF Arena", "The Bell Auditorium", "National Arts Centre, Ottawa", "Cícero Pompeu de Toledo Stadium", "Al-Hamadaniah Stadium", "Javelina Stadium", "Dvorana Mirza Delibašić", "Go Dau Stadium", "Sioux Falls Arena", "Olsen Field at Blue Bell Park", "Peden Stadium", "Festival Hall", "Eintracht-Stadion", "Sydney Entertainment Centre", "Roanoke Civic Center", "Value City Arena at the Jerome Schottenstein Center", "Prudential Center", "Majestic Theatre", "American Music Theatre", "Comcast Center", "FedExField", "Subiaco Oval", "Dunkin' Donuts Center", "Donald L. Tucker Center", "Stadium of Light", "Luis Conde Arena", "Estádio Vila Capanema", "Benjamin and Marian Schuster Performing Arts Center", "Whistler Olympic Park", "Ethias Arena", "Juventus Stadium", "Beethovenhalle", "Legion Field", "Peabody Auditorium", "Cheltenham Racecourse", "The Gabba", "Estadio Riazor", "Ottawa Civic Centre", "Melbourne Cricket Ground", "Qemal Stafa Stadium", "Knoxville Civic Auditorium and Coliseum", "Daytona International Speedway", "Sleuyter Arena", "Fifth Third Arena", "Stabler Arena", "Vikings Stadium", "Sports Authority Field at Mile High", "Cameron Indoor Stadium", "Royal Festival Hall", "Városi Sportcsarnok", "Centennial Concert Hall, Winnipeg", "The Elgin Theatre", "Faliro Coastal Zone Olympic Complex", "Reed Arena", "Somerset Park", "Elliott Hall of Music", "The Sage Gateshead", "Johnny Unitas Stadium", "Los Angeles Theatre", "Newcastle City Hall", "Best Buy Theater", "Dodger Stadium", "Riverbend Music Center", "St. Augustine Amphitheatre", "Manchester Opera House", "McKale Center", "Hill Auditorium", "Swedbank Park", "Palaran Stadium", "Ebbets Field", "Paul E. Tsongas Center at UMass Lowell", "Denver Coliseum", "Moses Mabhida Stadium", "Kibbie Dome", "Bronco Stadium", "Mercedes-Benz Superdome", "Edgbaston Cricket Ground", "Hagan Arena", "Ottawa Convention Centre", "John F. Kennedy Stadium", "Prince Edward Theatre", "Intrust Bank Arena", "MTS Centre", "Alerus Center", "The Pit", "War Memorial Auditorium", "Şükrü Saracoğlu Stadium", "Sam Boyd Stadium", "Cumberland County Crown Coliseum", "Bridgewater Hall, Manchester", "St David's Hall", "Foxboro Stadium", "Mage Solar Stadion", "Proctors", "Liberty Stadium", "Estádio Olímpico João Havelange", "Edinburgh Playhouse", "Bethel Woods Center for the Arts", "Wiener Musikverein", "Mackey Arena", "Falcon Stadium", "Durham Performing Arts Center", "Boardwalk Hall", "Yankee Stadium", "Principal Park", "Sun Devil Stadium", "United Spirit Arena", "Bristol Hippodrome", "The Muny", "HK Arena", "Ikast-Brande Arena", "Rialto Square Theatre", "The Home Depot Center", "Riverfront Stadium", "Dolby Theatre", "Victoria Theatre", "The Whiting", "Orpheum Theatre", "Carver–Hawkeye Arena", "California Memorial Stadium", "Polideportivo Islas Malvinas", "Androscoggin Bank Colisée", "EWE Arena", "Bartow Arena", "Canberra Stadium", "Richard E. Berry Educational Support Center", "Rice-Eccles Stadium", "Lawson Arena", "Verizon Wireless Amphitheater", "North Charleston Coliseum", "Nationwide Arena", "LDS Conference Center", "Mariucci Arena", "Hofburg Palace", "Comédie-Française", "Stadio Olimpico di Torino", "St Andrew's", "Comerica Park", "Sonny Lubick Field at Hughes Stadium", "Ed Mirvish Theatre", "Edward Jones Dome", "Eriksdalshallen", "Sony Centre for the Performing Arts", "De Grolsch Veste", "LaVell Edwards Stadium", "Royal Opera House, London", "BayArena", "Greensboro Coliseum Complex", "Lipperlandhalle", "Rangers Ballpark in Arlington", "Viejas Arena", "Rabobank Arena", "Durham Bulls Athletic Park", "New World Stages", "Winnipeg Arena", "Shanghai Stadium", "Winter Gardens, Blackpool", "Izod Center", "OlympiaWorld Innsbruck", "General Motors Centre", "Arena di Verona", "Convocation Center", "Arena at Gwinnett Center", "Estádio José Alvalade", "Vicente Calderón Stadium", "PNC Bank Arts Center", "Uptown Theater", "Ajinomoto Stadium", "Salt River Fields at Talking Stick", "Whittemore Center", "Royal Bafokeng Stadium", "Sleeman Centre", "Cruzan Amphitheatre", "Huntington Avenue Grounds", "Heartland Events Center", "Frederiksberghallen", "INB Performing Arts Center", "1stBank Center", "Tatran Handball Arena", "Victoria Palace Theatre", "Boston Garden", "Credit Union Centre", "Fox Theater Pomona", "Lucas Oil Stadium", "The Lowry", "City National Grove of Anaheim", "Estadio De Béisbol Héctor Espino", "The Coronet", "Chiles Center", "Marion Palace Theatre", "Palladium Theater", "Ferguson Center for the Arts", "Faurot Field", "HR Commitment Arena", "Theater des Westens", "Arrowhead Stadium", "Taft Theatre", "Stadio San Paolo", "Fox Theater", "Forrest Theatre", "Jalan Besar Stadium", "GelreDome", "Kiel Auditorium", "Cedar Park Center", "Apollo Theater", "Comcast Center", "1st Mariner Arena", "Jon M. Huntsman Center", "Bud Walton Arena", "Raymond James Stadium", "Schermerhorn Symphony Center", "Daniel–Meyer Coliseum", "Brooklyn Academy of Music", "Oakland-Alameda County Coliseum", "Red Star Stadium", "Agora Theatre and Ballroom", "Strahan Coliseum", "Lotto Arena", "Peabody Opera House", "KSU Convocation Center", "Kezar Stadium", "Sullivan Arena", "Sun National Bank Center", "Råsunda Stadium", "Baum Stadium", "Vancouver Forum", "Three Rivers Stadium", "Sydney Cricket Ground", "Maui Arts & Cultural Center", "Candlestick Park", "Carnie Smith Stadium", "Savannah Civic Center", "Estadi Olímpic Lluís Companys", "Fratton Park", "National Indoor Arena", "Veterans Stadium", "AWD-Arena", "Towson Center", "Palladium Ballroom", "Birmingham–Jefferson Convention Complex", "Bondi Beach", "Bryant–Denny Stadium", "The Palace of Auburn Hills", "North Harbour Stadium", "FirstEnergy Stadium", "Agganis Arena", "Pioneer Center for the Performing Arts", "Apollo Theater", "Ellis Park Stadium", "Palace Theatre", "Teatro Real, Madrid", "Jay Pritzker Pavilion", "Lahaina Civic Center", "State Farm Center", "Hershey Centre", "Estadio José María Bértora", "Preußenstadion", "Orpheum Theatre", "Bell Centre", "Compuware Arena", "The Centre", "Stroh Center", "Easter Road", "Ahmanson Theatre", "Apollo Victoria Theatre", "Stade Auguste Bonal", "ARCO Arena I", "Wembley Arena", "Suncorp Stadium", "Dorton Arena", "Fatorda Stadium", "St. James Theatre, Wellington", "Magness Arena", "Wolstein Center", "Akoo Theatre at Rosemont", "Peace and Friendship Stadium", "Tad Smith Coliseum", "Rialto Theatre", "İzmir Atatürk Stadium", "Stadion An der Alten Försterei", "Columbus Crew Stadium", "Usher Hall, Edinburgh", "Boston Opera House", "Mohegan Sun Arena at Casey Plaza", "FC Dallas Stadium", "5th Avenue Theatre", "Al Hirschfeld Theatre", "Wortham Theater Center", "Estádio da Luz", "Maverik Center", "Paramount Theatre", "Hofheinz Pavilion", "Halifax Metro Centre", "Stockton Arena", "Metropolitan Opera House", "Ottawa Auditorium", "Citi Performing Arts Center", "Williams-Brice Stadium", "Detroit Opera House", "Rupp Arena", "Kitchener Memorial Auditorium", "Chicago Theatre", "Osceola County Stadium", "Her Majesty's Theatre, Melbourne", "Dow Event Center", "Palais Theatre", "Ponds Forge International Sports Centre", "Eden Park", "Motorpoint Arena Sheffield", "SIU Arena", "Saratoga Performing Arts Center", "Gallagher-Iba Arena", "University of Phoenix Stadium", "Estádio do Dragão", "Wembley Stadium", "XL Center", "DCU Center", "Morton H. Meyerson Symphony Center, Dallas", "Mizzou Arena", "BankUnited Center", "Alfond Arena", "Capitol Theatre", "Robins Center", "Pan American Center", "Princeton University Stadium", "United Palace Theater", "Thomas Wolfe Auditorium", "Staples Center", "Firhill Stadium", "Georgia Dome", "Anoeta Stadium", "Stadio Antonio Bianco", "O'Connell Center", "Ewood Park", "Dom Sportova", "Sandia Resort and Casino", "Comanche County Fairgrounds", "Kauffman Center for the Performing Arts", "Ohio Stadium", "Dale F. Halton Arena", "Lakewood Church Central Campus", "Sawyer Center", "Frost Arena", "Budweiser Events Center", "Tropicana Field", "Stadthalle Graz", "Shakespeare's Globe", "Waldo Stadium", "Kohl Center", "Princess Theatre, Melbourne", "BMO Field", "Landmark Theatre", "Hearst Greek Theatre", "Nya Parken", "Majestic Theatre", "Cowboys Stadium", "Rogers Centre", "Rittal Arena Wetzlar", "Kay Bailey Hutchison Convention Center", "McDiarmid Park", "Wembley Stadium", "Velodrom", "Phoenix Symphony Hall", "Tulalip Resort Casino", "Palace Theatre", "UIC Pavilion", "Glasgow Royal Concert Hall", "Alpine Valley Music Theatre", "Scott Stadium", "Putra Indoor Stadium", "Ryan Field", "City of Manchester Stadium", "DakotaDome", "Credicard Hall", "Yokohama Arena", "Red Rock Resort Spa and Casino", "TD Bank Garden", "Regent Theatre", "Enmore Theatre", "Pensacola Civic Center", "Mackay Stadium", "Grand Ole Opry", "Docklands Stadium", "American Airlines Arena", "The Forum", "Motorpoint Arena Cardiff", "Brisbane Entertainment Centre", "Charline McCombs Empire Theatre", "Wells Fargo Arena", "Teatro Colón, Buenos Aires", "Vienna State Opera", "Estadio Ciudad de La Plata", "Bridgestone Arena", "Kress Events Center", "Football Park", "Pete Maravich Assembly Center", "Kombank Arena", "David A. Straz Jr. Center for the Performing Arts", "Estadio Ciudad de Santiago del Estero", "Scheels Arena", "Cobo Center", "Tiger Stadium", "Fargodome", "Harbour Station", "Rose Garden", "Copps Coliseum", "Brandt Centre", "Capitol Theatre, Sydney", "Metro Radio Arena", "Cajundome", "Newcastle Entertainment Centre", "Sports Ground, Woodbridge Road, Guildford", "Theatre Royal, Drury Lane", "Hanover Theatre for the Performing Arts", "Palau Sant Jordi", "Washington–Grizzly Stadium", "Smith Center for the Performing Arts", "Tower Theater", "Coleman Coliseum", "Marquis Theatre", "Benteler Arena", "McMahon Stadium", "Allen Event Center", "Viaero Event Center", "Texas Stadium", "Palau d'Esports de Granollers", "Keller Auditorium", "Goodison Park", "Floyd Casey Stadium", "Bramlage Coliseum", "UCF Arena", "Achilles Rink", "Western Hall", "The Broadway Theatre", "CenturyLink Field", "Bill Graham Civic Auditorium", "Angel Stadium of Anaheim", "Washington Avenue Armory", "American Airlines Center", "Harris Theater", "Allstate Arena", "HoHoKam Stadium", "Kölner Philharmonie", "BMO Harris Bank Center", "Pellissier Building and Wiltern Theatre", "War Memorial Stadium", "Symphony Hall", "Buck Shaw Stadium", "Perth Concert Hall", "Wales Millennium Centre", "Amway Arena", "Víctor Jara Stadium", "Rogers Arena", "Madison Square Garden", "Camp Nou", "Estadio José Jorge Conte", "UNI-Dome", "Aberystwyth Arts Centre", "Moody Coliseum", "Gaiety Theatre, Dublin", "Hammerstein Ballroom", "Celebrity Theatre", "Ford Center", "Busch Memorial Stadium", "Jack Trice Stadium", "New Wimbledon Theatre", "Columbiahalle", "Richmond Olympic Oval", "Memorial Stadium, Clemson", "Long Beach Convention and Entertainment Center", "Luna Park, Buenos Aires", "Edinburgh Festival Theatre", "PNC Arena", "Lincoln Financial Field", "MacInnes Student Ice Arena", "Rio Tinto Stadium", "The Dome Leisure Centre", "The Centre In Vancouver for Performing Arts", "New Orleans Arena", "Carnesecca Arena", "Minneapolis Convention Center", "CenturyLink Center", "Estádio do Maracanã", "Robinson Center, Little Rock", "Reno Events Center", "Bankers Life Fieldhouse", "London Velopark", "Turner Field", "Regent Theatre", "Neyland Stadium", "Flens-Arena", "Chesapeake Energy Arena", "Assembly Hall", "United Center", "Soldier Field", "Estadio de La Cartuja", "Save-On-Foods Memorial Centre", "Tampereen jäähalli", "Andrew Jackson Hall", "Atletion", "MaxiparkArena", "Warner Theatre", "Congress Theatre", "Estadio Olímpico Andrés Quintana Roo", "Thomas & Mack Center", "Crystal Cathedral", "Citizens Business Bank Arena", "Hampton Coliseum", "Olympic Stadium", "Spiroudome", "Estádio do Pacaembu", "Doak Field", "East End Park", "King's Theatre, Glasgow", "Princess of Wales Theatre", "Hanns-Martin-Schleyer-Halle", "Stechert Arena", "Medicine Hat Arena", "Stade Vélodrome", "Tilles Center for the Performing Arts", "RCA Dome", "FIU Stadium", "Austin Convention Center", "Morrison Center", "Estadio Nuevo Los Cármenes", "Racquet Club of Memphis", "Olympic Stadium", "Germain Arena", "Orpheum Theatre", "Conte Forum", "Reitz Arena", "Boleyn Ground", "Lansdowne Road", "ENMAX Centre", "Jacksonville Veterans Memorial Arena", "Kemper Arena", "Wells Fargo Center", "Alabama Theatre", "Rimrock Auto Arena at MetraPark", "Maples Pavilion", "Hobby Center for the Performing Arts", "Pavilion Theatre", "Southampton Guildhall", "Shea's Performing Arts Center", "New Theatre Oxford", "Miami Orange Bowl", "The Arches", "Cliffs Pavilion", "Bushnell Center for the Performing Arts", "Palacio Vistalegre", "El Sadar Stadium", "John Paul Jones Arena", "Vicarage Road", "Belmore Sports Ground", "Robert F. Kennedy Memorial Stadium", "Oriole Park at Camden Yards", "Gershwin Theatre", "Safeco Field", "Lloyd Noble Center", "The Oval", "Stanley Park Stadium", "Redondo Beach Performing Arts Center", "Edmund P. Joyce Center", "Redbird Arena", "Cameron Stadium", "Charles C. Hughes Stadium", "Verizon Center", "Sydney Opera House", "The Fillmore Detroit", "Lynah Rink", "Olympic Stadium Munich", "Toyota Center", "Paulson Stadium", "Conexus Arts Centre", "National Hockey Stadium", "White Hart Lane", "Eastern Kentucky Expo Center", "Tulane Stadium", "Comerica Theatre", "D.C. Armory", "Alumni Stadium", "Scottrade Center", "El Paso County Coliseum", "Gayfield Park", "Perth Oval", "Fenway Park", "Munn Ice Arena", "Rod Laver Arena", "Coors Field", "ABB Arena Syd", "The Florida Citrus Bowl Stadium", "Darrell K Royal–Texas Memorial Stadium", "Lawlor Events Center", "Wankhede Stadium", "State Theatre", "Bob Devaney Sports Center", "National Aquatic Centre", "Cardiff Arena", "Love Street", "Budweiser Gardens", "Cape Town Stadium", "Oslo Spektrum", "Madejski Stadium", "Lanxess Arena", "Niaz Stadium", "Selhurst Park", "Stadio delle Alpi", "Pitt Stadium", "Portsmouth Guildhall", "Stade Marcel Picot", "American Bank Center", "Freedom Hall", "University of Dayton Arena", "Arena Theatre", "Wellmont Theatre", "AT&T Performing Arts Center", "Los Angeles Memorial Sports Arena", "Sanford Center", "Sacramento Convention Center Complex", "Robina Stadium", "Tonhalle", "Consol Energy Center", "Commonwealth Stadium", "Capitol Theatre", "Michigan Stadium", "Lambeau Field", "Bob Carpenter Center", "Gatorade Garden City Complex", "San Francisco Airport Marriott Waterfront", "McArthur Court", "Stadio Alberto Braglia", "Richmond Coliseum", "Lyceum Theatre", "Odyssey Arena", "War Memorial Stadium", "Patriot Center", "Fisher Field", "Maverick Baseball Stadium", "Saitama Super Arena", "Coronado Performing Arts Center", "Bridgeforth Stadium and Zane Showker Field", "Red Rocks Amphitheatre", "Stadion Oberwerth", "Shrine Auditorium", "U.S. Cellular Field", "Elland Road", "Haas Pavilion", "Kitchener Memorial Auditorium Complex", "Mosaic Place", "Kidd Brewer Stadium", "Oracle Arena", "Town Toyota Center", "Xcel Energy Center", "Stadio Artemio Franchi – Montepaschi Arena", "Tampa Stadium", "Marriott Center", "Palace Theatre", "Bass Performance Hall", "Radio City Music Hall", "Owensboro Sports Center", "Ryan Center", "Hyde Park Picture House, Leeds", "ShoWare Center", "Gillette Stadium", "Gaillard Municipal Auditorium", "Giants Stadium", "Mid-America Center", "Riverside Theater", "Tad Gormley Stadium", "Gerald J. Ford Stadium", "Old Trafford Cricket Ground", "Walt Disney Concert Hall", "Imperial Theatre", "Ferrell Center", "Crystal Palace National Sports Centre", "Embassy Theatre", "Quicken Loans Arena", "Ulster Performing Arts Center", "Rhein-Neckar Arena", "Breslin Student Events Center", "San Siro Stadium", "Hilton Coliseum", "Tokyo Dome", "Beacon Theatre, New York", "Adler Theatre", "Pabellón Polideportivo Artaleku", "Rose Bowl", "Carter–Finley Stadium", "Arlene Schnitzer Concert Hall, Portland", "Stade Geoffroy-Guichard", "Celtic Park", "Villa Park", "Independence Events Center", "The Helix", "Bowers Stadium", "Concertgebouw, Amsterdam", "Von Braun Center", "William \"Dick\" Price Stadium", "Sears Centre Arena", "Salvus-Stadion am Grevener Damm", "Alex G. Spanos Center", "Lyric Theatre, Sydney", "Paul Brown Stadium", "Doug Mitchell Thunderbird Sports Centre", "The Times Union Center", "Estadio Alberto J. Armando", "Pacific Coliseum", "Maple Leaf Gardens", "MDCC-Arena", "Echo Arena Liverpool", "Auditorio Banamex", "Bank of America Stadium", "Holt Arena", "Valley View Casino Center", "Orpheum Theatre", "Oslo Opera House", "Philips Arena", "Carter Barron Amphitheatre", "RiverCenter for the Performing Arts", "Penydarren Park", "Suheim Bin Hamad Stadium", "Popejoy Hall", "The Shay", "Bright House Networks Stadium", "The Den", "Jordan–Hare Stadium", "Peter Mokaba Stadium", "Stranahan Theater", "Hammersmith Palais", "Kungliga tennishallen", "Liberty Bowl Memorial Stadium", "Tennessee Theatre", "Lake Elsinore Diamond", "Ralph Wilson Stadium", "Packard Stadium", "Canad Inns Stadium", "Ordway Center for the Performing Arts", "Pavilion Theatre", "Reynolds Coliseum", "Gerry Weber Stadion", "Matthews Arena", "Durham County Stadium", "Vancouver Convention Centre", "Benedum Center", "Estadio El Madrigal", "Regent Theatre, Melbourne", "Dahlberg Arena", "Donau Arena", "Dee Events Center", "Roundhouse", "Stadium Municipal", "Falkirk Stadium", "Show Me Center", "Auditorio Telmex", "Rexall Place", "Arena Nova", "Charlotte Coliseum", "Chester Fritz Auditorium", "Carrara Stadium", "Stadio Ennio Tardini", "Canton Memorial Civic Center", "Griffin Park", "Littlejohn Coliseum", "Mitsubishi Electric Halle", "Verizon Theatre at Grand Prairie", "Mile High Stadium", "Yankee Stadium", "Stade de France", "The Lighthouse" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000100, "question": "find all the venues with a seating capacity no smaller than 1417.", "answer": [ "PPL Park", "Esplanade - Theatres on the Bay, Singapore", "Robina Stadium", "Millennium Stadium", "1st Mariner Arena", "U.S. Cellular Coliseum", "Liberty Bowl Memorial Stadium", "Dorton Arena", "Saratoga Performing Arts Center", "McMahon Stadium", "Frost Arena", "Memorial Stadium, Clemson", "Royal Melbourne Showgrounds", "Allen Event Center", "Estadio Ciudad de Santiago del Estero", "Comerica Park", "White Hart Lane", "Princess Theatre, Melbourne", "Marina Civic Center", "Orpheum Theatre", "Kitchener Memorial Auditorium Complex", "Sawyer Center", "Adelaide Oval", "Galen Center", "Elland Road", "Town Toyota Center", "Abe Lenstra Stadion", "Hollywood Bowl", "Allianz Arena", "Frank Erwin Center", "Zénith de Strasbourg", "Curry Hicks Cage", "Holy Name Cathedral, Chicago", "Melbourne Cricket Ground", "Lambeau Field", "Birmingham–Jefferson Convention Complex", "Hampton Convocation Center", "Estadio José María Bértora", "O2 Arena", "Hanover Theatre for the Performing Arts", "London Coliseum", "Blue Cross Arena", "North Charleston Coliseum", "Underhill Stadium", "Sonny Lubick Field at Hughes Stadium", "The Coronet", "Ibrox Stadium", "Cardiff Arena", "Abbotsford Entertainment & Sports Centre", "Marin County Civic Center", "The Den", "Mahalia Jackson Theater of the Performing Arts", "Kungliga tennishallen", "Gerald J. Ford Stadium", "Welsh-Ryan Arena", "Melbourne Multi Purpose Venue", "London Velopark", "BB&T Field", "Zellerbach Hall", "Surprise Stadium", "Cape Town Stadium", "EnergySolutions Arena", "David A. Straz Jr. Center for the Performing Arts", "Pitt Stadium", "Arrowhead Stadium", "McDiarmid Park", "The Forum", "Assembly Hall", "Yankee Stadium", "Venue Cymru", "York Park", "Greensboro Coliseum Complex", "Budweiser Events Center", "Kyle Field", "Thani bin Jassim Stadium", "Minneapolis Convention Center", "Calihan Hall", "Kimmel Arena", "Event Center Arena", "Tuacahn", "Chiles Center", "Cumberland County Crown Coliseum", "Mountaineer Field at Milan Puskar Stadium", "Allen County War Memorial Coliseum", "Popejoy Hall", "Los Angeles Memorial Sports Arena", "Twickenham Stoop", "Bud Walton Arena", "Rose Bowl", "Massey Hall", "RCA Dome", "Stade Vélodrome", "Petersen Events Center", "Kay Bailey Hutchison Convention Center", "Manchester Central Convention Complex", "Sprint Center", "Shakespeare's Globe", "De Grolsch Veste", "Rangers Ballpark in Arlington", "Comcast Arena", "Vines Center", "Rentschler Field", "Columbus Civic Center", "Symphony Hall", "Mile One Centre", "Hancock Stadium", "Saban Theatre", "Cow Palace", "Stadio Alberto Braglia", "Notre Dame Stadium", "City National Grove of Anaheim", "Olympic Stadium", "Kinnick Stadium", "U.S. Bank Arena", "Packard Stadium", "Estádio do Dragão", "North Shore Music Theatre", "Sheikh Khalifa International Stadium", "Maverik Center", "Count Basie Theatre", "University of Dayton Arena", "Peterborough Memorial Centre", "Wellmont Theatre", "National Indoor Arena", "Sunderland Empire Theatre", "Gaillard Municipal Auditorium", "TD Bank Garden", "Teatro di San Carlo, Naples", "Eisarena Salzburg", "Uptown Theatre", "Gold Coast Convention and Exhibition Centre", "Palau d'Esports de Granollers", "Mohegan Sun Arena at Casey Plaza", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Moses Mabhida Stadium", "Tannadice Park", "Seminole Hard Rock Hotel and Casino Hollywood", "CenturyLink Field", "Hofheinz Pavilion", "Cotton Bowl", "Penydarren Park", "Mid-America Center", "Megasport Arena", "Foxwoods Theatre", "Polideportivo Islas Malvinas", "Stade Marcel Picot", "Meadow Park", "Kenan Memorial Stadium", "St. James Theatre, Wellington", "DakotaDome", "Staples Center", "Cowtown Coliseum", "László Papp Budapest Sports Arena", "Budweiser Gardens", "Nationwide Arena", "Foxboro Stadium", "Faliro Coastal Zone Olympic Complex", "Nassau Veterans Memorial Coliseum", "Comcast Center", "Tulane Stadium", "UIC Pavilion", "State Theatre", "Freedom Hall", "Kitchener Memorial Auditorium", "Tad Smith Coliseum", "Rexall Centre", "Parc des Sports", "Spartan Stadium", "Civic Arena", "Whittemore Center", "Lincoln Financial Field", "Ellis Park Stadium", "The Orbit Room", "Cheltenham Racecourse", "Dom Sportova", "Anfield", "Carver–Hawkeye Arena", "The Lighthouse", "Estádio Olímpico João Havelange", "Jack Trice Stadium", "Lawrence Joel Veterans Memorial Coliseum", "St Andrew's", "Theodoros Kolokotronis Stadium", "Michigan Stadium", "Sun Life Stadium", "Estadio Cubierto Newell's Old Boys", "Busch Memorial Stadium", "LP Field", "Kress Events Center", "Stadio delle Alpi", "St. Augustine Amphitheatre", "Olympic Stadium", "Wiener Musikverein", "Jon M. Huntsman Center", "Koning Willem II Stadion", "The Shay", "OlympiaWorld Innsbruck", "Miller Outdoor Theatre", "Consol Energy Center", "Foro Sol", "Aviva Stadium", "König Pilsener Arena", "Mohegan Sun Arena", "Bramall Lane", "Marion Palace Theatre", "Swayze Field", "Commonwealth Stadium", "National Auditorium", "Her Majesty's Theatre, Melbourne", "Wortham Theater Center", "Hampden Park", "Ottawa Auditorium", "Austin Convention Center", "Olympic Stadium", "Ben Hill Griffin Stadium", "Goss Stadium at Coleman Field", "Grand Lake Theater", "Pharr International Convention Center", "National Ice Centre", "Hammersmith Palais", "Royal Agricultural Hall", "Yankee Stadium", "Eden Gardens", "Orpheum Theatre", "Wrigley Field", "Fox Theatre", "Goodison Park", "Memorial Stadium", "Donau Arena", "Thebarton Theatre", "Morton H. Meyerson Symphony Center, Dallas", "Al-Hamadaniah Stadium", "Cleveland Stadium", "Stan Sheriff Center", "Donald W. Reynolds Razorback Stadium", "Palace Theatre", "Lipperlandhalle", "Odyssey Arena", "Britannia Stadium", "The O2", "Oslo Opera House", "Loftus Road", "Winspear Opera House, Dallas", "Bowers Stadium", "Mosaic Stadium at Taylor Field", "Duluth Entertainment Convention Center", "Estadio Monumental Antonio Vespucio Liberti", "Royal Theatre Carré", "Capitol Theatre", "Faurot Field", "Baum Stadium", "Boone Pickens Stadium", "Edmund P. Joyce Center", "Williams-Brice Stadium", "Coronado Performing Arts Center", "Craven Cottage", "Comerica Theatre", "Laredo Energy Arena", "Palace Theatre, Melbourne", "DTE Energy Music Theatre", "Opéra Bastille", "Tokyo Dome City", "MetLife Stadium", "Verizon Wireless Arena", "Winthrop Coliseum", "Majestic Theatre", "AT&T Park", "Camelback Ranch", "Magness Arena", "Hult Center for the Performing Arts", "Bob Devaney Sports Center", "Regent Theatre", "Target Center", "Bryant–Denny Stadium", "Orpheum Theatre", "Aronoff Center", "Sanford Center", "Swedbank Stadion", "Progressive Field", "Cassell Coliseum", "Stadthalle Graz", "Vector Arena", "Anhalt Arena", "Manchester Central Convention Complex", "Orpheum", "Memorial Stadium, Lincoln", "Majestic Theatre", "Canton Memorial Civic Center", "EverBank Field", "Gaiety Theatre, Dublin", "The Centre", "Chicago Theatre", "Riverside Stadium", "Medicine Hat Arena", "Oriole Park at Camden Yards", "De Montfort Hall", "Schermerhorn Symphony Center", "Hartwall Areena", "The Whiting", "Brooklyn Academy of Music", "Harry A. Gampel Pavilion", "Doug Mitchell Thunderbird Sports Centre", "The Oval", "New Jersey Performing Arts Center", "The Muny", "Foreman Field", "Stade de la Route de Lorient", "Columbiahalle", "Paul E. Tsongas Center at UMass Lowell", "Saoud bin Abdulrahman Stadium", "Raleigh Convention Center", "Rice-Eccles Stadium", "Old Trafford", "Silverdome", "Keller Auditorium", "Edinburgh Festival Theatre", "Whistler Sliding Centre", "Javelina Stadium", "Joseph P. Riley, Jr. Park", "Rose Bowl", "Gachibowli Indoor Stadium", "Auditorium Parco della Musica", "Pensacola Civic Center", "O2 World", "Bell Centre", "Giant Center", "Putra Indoor Stadium", "Cobo Center", "Shea Stadium", "Carnie Smith Stadium", "Morris Performing Arts Center", "Safeco Field", "Commerzbank-Arena", "Villa Park", "War Memorial Stadium", "Reynolds Coliseum", "El Paso County Coliseum", "Theatre Royal, Drury Lane", "Stade Auguste Bonal", "Liverpool Empire Theatre", "Folsom Field", "Williams Arena", "Reitz Arena", "Ricoh Arena", "Nutter Center", "Sullivan Arena", "Roanoke Civic Center", "Sleuyter Arena", "Bill Graham Civic Auditorium", "Jalan Besar Stadium", "Turner Field", "Somerset Park", "Regent Theatre, Dunedin", "Lone Star Amphitheater", "Perth Arena", "Mississippi Coliseum", "Landmark Theatre", "Resch Center", "Georgia Dome", "UNF Arena", "Reser Stadium", "Echo Arena Liverpool", "Littlejohn Coliseum", "World Arena, Colorado Springs", "Orpheum Theatre", "Ponds Forge International Sports Centre", "Reno Events Center", "Sanford Stadium", "Mariucci Arena", "Scottrade Center", "McKenzie Arena", "Rose Garden", "Redondo Beach Performing Arts Center", "Rhodes Stadium", "Covelli Centre", "TD Waterhouse Stadium", "Cedar Park Center", "Ems-Hölle", "BMO Harris Bank Center", "Save Mart Center", "Salt River Fields at Talking Stick", "Rimrock Auto Arena at MetraPark", "Tonhalle", "Wembley Stadium", "Zenith Arena", "Dee Events Center", "Scott Stadium", "US Airways Center", "Liberty Bank Stadium", "Bankers Life Fieldhouse", "Coors Events Center", "Stade de la Mosson", "Mercedes-Benz Superdome", "Boston Garden", "American Music Theatre", "Eriksdalshallen", "Dahlberg Arena", "Vaught–Hemingway Stadium", "Estadio Ciudad de La Plata", "Calvin Gilmore Theater", "Alumni Stadium", "Palestra", "Le Grand Rex", "Headingley Stadium", "Sun Bowl Stadium", "Capitol Theatre, Sydney", "Wells Fargo Center", "Candlestick Park", "Fox Theater Pomona", "Sparkassen-Erzgebirgsstadion", "Liberty Stadium", "Stanley Park Stadium", "Brisbane Entertainment Centre", "Fisher Field", "USF Sun Dome", "Palladium Ballroom", "Kölner Philharmonie", "Princess Theatre, Torquay", "HK Arena", "Estadio Fortunato Bonelli", "Raymond James Stadium", "Veltins-Arena", "Convocation Center", "Majestic Theatre", "Anoeta Stadium", "Oslo Spektrum", "New World Stages", "Joe Louis Arena", "Loftus Versfeld Stadium", "Spartan Stadium", "Verizon Arena", "Concertgebouw, Amsterdam", "Roundhouse", "Braehead Arena", "Scheels Arena", "Murrayfield Ice Rink", "Kidd Brewer Stadium", "Osaka Dome", "Robins Center", "Allen Fieldhouse", "Valley View Casino Center", "Huntington Avenue Grounds", "Maple Leaf Gardens", "Verizon Center", "Busch Stadium", "Town Hall", "Frankfurter Volksbank Stadion", "Portsmouth Guildhall", "San Francisco Airport Marriott Waterfront", "Ottawa Convention Centre", "Radio City Music Hall", "Bushnell Center for the Performing Arts", "Cliffs Pavilion", "Rogers Arena", "Tampereen jäähalli", "Festival Hall", "Victoria Palace Theatre", "INB Performing Arts Center", "Wolstein Center", "War Memorial Stadium", "Smith Center for the Performing Arts", "Lyric Theatre, Sydney", "Stadio Olimpico", "Estadio Riazor", "Lunt-Fontanne Theatre", "Red Rock Resort Spa and Casino", "Durham Bulls Athletic Park", "Yost Ice Arena", "Beijing National Aquatics Center", "Deltaplex Arena & Conference Center", "Viejas Arena", "Bellerive Oval", "Bristol Hippodrome", "Ordway Center for the Performing Arts", "Air Canada Centre", "Grand Olympic Auditorium", "Bojangles' Coliseum", "Lord's Cricket Ground", "Pete Maravich Assembly Center", "Hampton Coliseum", "Chacarita Juniors Stadium", "Amman International Stadium", "Kemper Arena", "PNC Bank Arts Center", "Sullivan Athletic Center", "Yale Bowl", "Sandia Resort and Casino", "Van Andel Arena", "The Fillmore Detroit", "Four Seasons Centre for the Performing Arts", "Sacramento Convention Center Complex", "Wankhede Stadium", "Spokane Veterans Memorial Arena", "Fifth Third Arena", "Max-Schmeling-Halle", "Marriott Center", "Spiroudome", "Emirates Stadium", "Walt Disney Concert Hall", "Majestic Theater", "Santiago Bernabéu Stadium", "Gillette Stadium", "I Wireless Center", "Rod Laver Arena", "Allphones Arena", "Grugahalle", "Sports Ground, Woodbridge Road, Guildford", "Enmore Theatre", "Verizon Wireless Amphitheatre", "Shanghai Stadium", "The Bank of Kentucky Center", "Cowboys Stadium", "HMV Forum", "Peoria Civic Center", "Marina Bay Sands", "Eastman Theatre", "Estadio Azteca", "Kiel Auditorium", "Camp Nou", "Estadio Universitario", "Warner Theatre", "Sleep Train Arena", "American Airlines Center", "The Time Warner Cable Arena", "Charline McCombs Empire Theatre", "Victoria Theatre", "Dunkin' Donuts Center", "Adriatic Arena", "Victoria Hall, Hanley", "Orange County Convention Center", "Balaídos", "Intrust Bank Arena", "New Wimbledon Theatre", "Edward Jones Dome", "Sioux Falls Arena", "Stadio Artemio Franchi", "Haas Pavilion", "The Lowry", "SIU Arena", "Kauffman Center for the Performing Arts", "Motorpoint Arena Sheffield", "Cintas Center", "MDCC-Arena", "Sydney Opera House", "XL Center", "Wagner Noel Performing Arts Center", "UCF Arena", "Centre In The Square", "Ford Center", "Conte Forum", "Westpac Stadium", "Wells Fargo Arena", "Eisstadion Weißwasser", "Ajinomoto Stadium", "Ross–Ade Stadium", "Gallagher-Iba Arena", "Kingfield Stadium", "Von Braun Center", "Reed Arena", "Gachibowli Athletic Stadium", "Grand Theatre, Leeds", "Lansdowne Road", "Louise M. Davies Symphony Hall", "Stranahan Theater", "Hi Corbett Field", "Rittal Arena Wetzlar", "Orpheum Theatre", "Aggie Stadium", "Expo Square Pavilion", "Tower Theater", "Credicard Hall", "Falcon Stadium", "Nya Parken", "Harris Theater", "PalaLottomatica", "Rialto Theatre", "Cobb Energy Performing Arts Centre", "Peace and Friendship Stadium", "Germain Arena", "Brighton Centre", "Charles E. Smith Athletic Center", "Bobcat Stadium", "Towson Center", "Scandinavium", "Nippert Stadium", "Stade de Gerland", "E Werk", "Jenny Craig Pavilion", "Memorial Stadium", "Coleman Coliseum", "Ottawa Civic Centre", "Stadio Artemio Franchi – Montepaschi Arena", "Coors Field", "Tiger Stadium", "High Point Solutions Stadium", "Campo de Fútbol de Vallecas", "Waterfront Hall", "Washington Avenue Armory", "Spreckels Theater", "Peter Mokaba Stadium", "Granada Theater", "Arena at Gwinnett Center", "Tynecastle Stadium", "London Palladium", "Chaifetz Arena", "William \"Dick\" Price Stadium", "Sun National Bank Center", "London Astoria", "Oakland-Alameda County Coliseum", "Bord Gáis Energy Theatre", "CenturyLink Center Omaha", "Ed Mirvish Theatre", "Mayo Civic Center", "New I-Mobile Stadium", "Estádio Vila Capanema", "New Theatre Oxford", "Bloomfield Road", "Richmond Coliseum", "Regent Theatre, Melbourne", "Paul Brown Stadium", "Thompson–Boling Arena", "Chrysler Hall", "La Romareda", "Cricket Wireless Amphitheatre", "Apollo Theater", "Volleyball Sportiv Complex", "Fillmore Auditorium", "Taco Bell Arena", "CenturyLink Center", "Veterans Memorial Auditorium", "Charles C. Hughes Stadium", "Tropicana Field", "Stade Armand Cesari", "Darrell K Royal–Texas Memorial Stadium", "Stadion An der Alten Försterei", "Gershwin Theatre", "Save-On-Foods Memorial Centre", "California Memorial Stadium", "Sony Centre for the Performing Arts", "AT&T Performing Arts Center", "Tilles Center for the Performing Arts", "Marlins Park", "Androscoggin Bank Colisée", "Theater des Westens", "Bob Carpenter Center", "Gibson Amphitheatre", "Dodger Stadium", "The Dome Leisure Centre", "Show Me Center", "Lucas Oil Stadium", "Lotto Arena", "University at Buffalo Stadium", "Forrest Theatre", "Kampa-Halle", "FirstEnergy Stadium", "Rogers Centre", "Old National Centre", "LaVell Edwards Stadium", "Jones AT&T Stadium", "Benjamin and Marian Schuster Performing Arts Center", "Red Star Stadium", "Mestalla Stadium", "Bridgestone Arena", "Beethovenhalle", "Stockholm Olympic Stadium", "Beacon Theatre, New York", "Congress Theatre", "Suheim Bin Hamad Stadium", "D.C. Armory", "Huish Park", "Toyota Center", "Ladd Peebles Stadium", "Daniel–Meyer Coliseum", "Vanderbilt Stadium", "National Hockey Stadium", "Astana Arena", "Florence Civic Center", "Estádio do Bessa", "Chicago Stadium", "Fenway Park", "Lander's Center", "Stadium of Light", "Glasgow Royal Concert Hall", "Sudbury Community Arena", "Principal Park", "Tokyo Dome", "De Doelen", "Maples Pavilion", "Bright House Networks Stadium", "Nikon at Jones Beach Theater", "Mizzou Arena", "Bramlage Coliseum", "PNC Arena", "Fox Theatre", "Kingsmeadow", "Chester Fritz Auditorium", "Byrd Stadium", "Cameron Stadium", "Ted Constant Convocation Center", "Prince Edward Theatre", "Football Park", "Estadio Racing Club", "Star Plaza Theatre", "Petco Park", "Memorial Stadium", "The Concert Hall in Aarhus", "Rabobank Arena", "Verizon Wireless Amphitheater", "Taft Theatre", "Green Point Stadium", "Mile High Stadium", "Olympia Bruno Coquatrix", "WACA Ground", "Theatre Royal, Glasgow", "John E. Worthen Arena", "Skelly Field at H. A. Chapman Stadium", "John Paul Jones Arena", "Ethias Arena", "Reebok Stadium", "Jorgensen Center for the Performing Arts", "Qualcomm Stadium", "Nationals Park", "The Centre In Vancouver for Performing Arts", "The Sage Gateshead", "Angel Stadium of Anaheim", "Hill 16", "Salem Civic Center", "Eden Park", "Clark–LeClair Stadium", "Sleep Train Pavilion", "Tennessee Theatre", "EnergyAustralia Stadium", "Cannon Center-Performing Arts", "Auditorio Telmex", "Vienna State Opera", "Al Hirschfeld Theatre", "Bangalore Football Stadium", "Washington–Grizzly Stadium", "Wolverhampton Civic Hall", "Quicken Loans Arena", "Glücksgas Stadium", "Teatro Real, Madrid", "Palacio Vistalegre", "Donald L. Tucker Center", "Crisler Center", "National Theatre", "The Times Union Center", "Gerry Weber Stadion", "San Jose Center For The Performing Arts", "Palais Garnier", "UFCU Disch–Falk Field", "Amway Arena", "Vikings Stadium", "Alpine Valley Music Theatre", "Beijing National Stadium", "Lyceum Theatre", "Wallace Wade Stadium", "Achilles Rink", "War Memorial Auditorium", "KFC Yum! Center", "The Egg", "State Farm Center", "Papa John's Cardinal Stadium", "Newcastle Entertainment Centre", "Autzen Stadium", "Camille Chamoun Sports City Stadium", "WesBanco Arena", "Sydney Entertainment Centre", "Pepsi Center", "Wembley Stadium", "Ashton Gate Stadium", "Miami Beach Convention Center", "Ninian Park", "KeyArena", "St James' Park", "Elliott Hall of Music", "The Elgin Theatre", "Jazz at Lincoln Center", "Western Springs Stadium", "Pauley Pavilion", "Robinson Center, Little Rock", "Cumberland County Civic Center", "McArthur Court", "Boleyn Ground", "Ryan Field", "Cynthia Woods Mitchell Pavilion", "Winter Garden Theatre", "Estadio Nuevo Los Cármenes", "Soldiers and Sailors Memorial Auditorium", "Winter Gardens, Blackpool", "First Arena", "Mage Solar Stadion", "Suncorp Stadium", "Vicente Calderón Stadium", "Beijing National Aquatics Center", "St David's Hall", "Perth Concert Hall", "Agganis Arena", "Estadio de Béisbol Monterrey", "Maverick Baseball Stadium", "Munn Ice Arena", "Michie Stadium", "Palais Theatre", "Susquehanna Bank Center", "Gigantium", "Philips Stadion", "Apollo Theater", "Preußenstadion", "Riverfront Stadium", "Charles Koch Arena", "Barabati Stadium", "Colonial Life Arena", "Stadio Antonio Bianco", "Råsunda Stadium", "Stadio Renato Dall'Ara", "Tatran Handball Arena", "Crystal Cathedral", "Hobby Center for the Performing Arts", "The Valley", "Target Field", "Waldo Stadium", "Palaran Stadium", "BancorpSouth Arena", "Sun Devil Stadium", "Maui Arts & Cultural Center", "General Motors Centre", "İzmir Atatürk Stadium", "Cam Henderson Center", "Scotiabank Saddledome", "Celebrity Theatre", "Scotiabank Place", "Copps Coliseum", "San Siro Stadium", "Big Sandy Superstore Arena", "The Broadway Theatre", "MTS Centre", "Adelphi Theatre", "Alex G. Spanos Center", "Alabama Theatre", "Bill Snyder Family Football Stadium", "Winnipeg Arena", "Estadio Benito Villamarín", "Robertson Stadium", "North Harbour Stadium", "Amway Center", "Detroit Opera House", "Bahrain National Stadium", "Riverside Theater", "Lakefront Arena", "Holt Arena", "Ulster Performing Arts Center", "Carter–Finley Stadium", "JQH Arena", "Kauffman Stadium", "Cheney Stadium", "American Airlines Arena", "BB&T Center", "Stadio Olimpico di Torino", "U.S. Cellular Field", "Academy of Music", "Le Transbordeur", "Ewood Park", "Memorial Stadium", "Golden Gate Theatre", "Peden Stadium", "Gatorade Garden City Complex", "Apollo Victoria Theatre", "Estadio El Madrigal", "Floyd Casey Stadium", "Emens Auditorium, Ball State University", "TSB Bank Arena", "Palace Theatre, Manchester", "K-Rock Centre", "KSU Convocation Center", "Stamford Bridge", "First Niagara Center", "Vancouver Forum", "Knoxville Civic Auditorium and Coliseum", "Alabama Theatre", "Estadio Julio Humberto Grondona", "Fox Theatre", "Ferrell Center", "Nashville Municipal Auditorium", "Stuart C. Siegel Center", "Don Haskins Center", "Juventus Stadium", "Arena di Verona", "Kelly/Shorts Stadium", "Miami Orange Bowl", "Xcel Energy Center", "Hilton Coliseum", "Kohl Center", "Auditorio Banamex", "Capitol Theatre", "San Diego Civic Theatre", "Tampa Bay Times Forum", "Stade du Moustoir", "TCF Bank Stadium", "Wang Theatre", "Riverbend Music Center", "Municipal Auditorium", "Los Angeles Memorial Coliseum", "Hanns-Martin-Schleyer-Halle", "New York Hippodrome", "Estadio Nuevo José Zorrilla", "Stadthalle Hagen", "King Power Stadium", "Stade Sébastien Charléty", "Barclays Center", "Roberts Municipal Stadium", "ShoWare Center", "U.S. Cellular Center", "Toyota Park", "Viaero Event Center", "Yokohama Arena", "FAU Stadium", "Jiffy Lube Live", "Tad Gormley Stadium", "Honda Center", "Rupp Arena", "Lawlor Events Center", "Broome County Veterans Memorial Arena", "Independence Events Center", "Montgomery Performing Arts Centre", "Pabellón Polideportivo Artaleku", "Rajamangala Stadium", "William D. Mullins Memorial Center", "Ricoh Coliseum", "Charleston Civic Center", "Carlson Center", "Dow Event Center", "Wales Millennium Centre", "King's Theatre, Glasgow", "State Theatre", "Miami Arena", "Estádio do Pacaembu", "Antarès", "Paulson Stadium", "National Arts Centre, Ottawa", "Pan American Center", "Edgbaston Cricket Ground", "Gill Coliseum", "Pittodrie Stadium", "GCS Ballpark", "The Pit", "Queen Elizabeth Theatre", "Coliseum Alfonso Pérez", "Stanford Stadium", "Aggie Stadium", "Stadio Giovanni Zini", "Ullevi", "Allstate Arena", "Carnesecca Arena", "Matthews Arena", "Soldier Field", "Orleans Arena", "Smart Araneta Coliseum", "O'Connell Center", "Palais des congrès de Paris", "Soccer City", "Lakewood Church Central Campus", "National Aquatic Centre", "Charlotte Coliseum", "Neyland Stadium", "Stadium Municipal", "Mackay Stadium", "Richmond Olympic Oval", "Rio Tinto Stadium", "University of Phoenix Stadium", "Stadio San Paolo", "Mosaic Place", "Metro Radio Arena", "1stBank Center", "Canad Inns Stadium", "Estadio De Béisbol Héctor Espino", "Stockton Arena", "Nelson W. Wolff Municipal Stadium", "Doak Campbell Stadium", "Pavilion Theatre", "Fratton Park", "Fife Ice Arena", "Redbird Arena", "Best Buy Theater", "Tiger Stadium", "Yubileyny Sports Palace", "Asim Ferhatović Hase Stadium", "BayArena", "Belmore Sports Ground", "Riviera Theatre", "Estadi Ciutat de València", "Weserstadion", "Palladium Theater", "Red Rocks Amphitheatre", "Bank of America Stadium", "Edinburgh Playhouse", "Thunder Bay Community Auditorium", "Rec Hall", "Gayfield Park", "Dominion Theatre", "Városi Sportcsarnok", "Dale F. Halton Arena", "The Joint", "HoHoKam Stadium", "Percival Molson Memorial Stadium", "Aloha Stadium", "Estadio Olímpico Andrés Quintana Roo", "Clyde Auditorium", "Dean Smith Center", "Fatorda Stadium", "MacInnes Student Ice Arena", "Durham County Stadium", "Strahan Coliseum", "Arena do Grêmio", "Red Bull Arena", "James A. Rhodes Arena", "Bethel Woods Center for the Arts", "AWD Hall", "Creighton Orpheum Theater", "Lynah Rink", "John F. Kennedy Stadium", "Broward Center for the Performing Arts", "Eintracht-Stadion", "United Palace Theater", "Tampa Stadium", "Şükrü Saracoğlu Stadium", "El Sadar Stadium", "Croke Park", "FC Dallas Stadium", "LDS Conference Center", "Víctor Jara Stadium", "Lane Stadium", "Churchill Downs", "Bass Performance Hall", "Auburn Arena", "Knapp Center", "Andrew Jackson Hall", "Donbass Arena", "Akoo Theatre at Rosemont", "Pacific Coliseum", "Old Trafford Cricket Ground", "Amon G. Carter Stadium", "Wiener Stadthalle Hall D", "Twickenham Stadium", "Matthew Knight Arena", "Nippon Budokan", "Mitsubishi Electric Halle", "Western Hall", "Cole Field House", "Compuware Arena", "American Bank Center", "Wicomico Youth and Civic Center", "Olsen Field at Blue Bell Park", "Rialto Square Theatre", "Glens Falls Civic Center", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Stabler Arena", "Patriot Center", "Salvus-Stadion am Grevener Damm", "FIU Stadium", "Pershing Center", "Stade Geoffroy-Guichard", "Thomas Wolfe Auditorium", "Durham Performing Arts Center", "Carrier Dome", "Buck Shaw Stadium", "Moody Coliseum", "Warner Theatre", "Benteler Arena", "Oracle Arena", "Estadi Olímpic Lluís Companys", "Robert F. Kennedy Memorial Stadium", "Lloyd Noble Center", "HP Pavilion at San Jose", "Olympic Stadium Munich", "Goggin Ice Arena", "Marquis Theatre", "Gigg Lane", "The Palace of Auburn Hills", "Jordan–Hare Stadium", "The O2 Arena", "Embassy Theatre", "Roxy Theatre", "Westfalenstadion", "New Road, Worcester", "Nokia Theatre L.A. Live", "Ralph Wilson Stadium", "Hard Rock Hotel and Casino", "Central Park, Cowdenbeath", "Hagan Arena", "Tulalip Resort Casino", "Worthington Arena", "Liacouras Center", "Cajun Field", "The Pavilion", "BMO Harris Bradley Center", "O2 Academy Glasgow", "The Home Depot Center", "ARCO Arena I", "Tucson Convention Center", "GelreDome", "Citi Field", "RiverCenter for the Performing Arts", "Spartak Stadium", "Bryce Jordan Center", "Phoenix Municipal Stadium", "FedExField", "Independence Stadium", "Bridgeforth Stadium and Zane Showker Field", "Cambria County War Memorial Arena", "Empire, Leicester Square", "Veterans Memorial Coliseum", "Volkswagen Arena", "Memorial Gymnasium", "Pavilion Theatre", "Louis Brown Athletic Center", "Consol Energy Center", "Minute Maid Park", "Norva Theatre", "Centennial Concert Hall, Winnipeg", "Community Arts Center", "Legion Field", "Peabody Opera House", "M&T Bank Stadium", "DCU Center", "Love Street", "Morrison Center", "Kezar Stadium", "Reliant Stadium", "Family Arena", "Estadio Marcelo Bielsa", "East End Park", "United Center", "Philips Arena", "Celtic Park", "Ryan Center", "Avery Fisher Hall", "Stroh Center", "Molineux Stadium", "Admiralspalast", "Nuremberg Arena", "Easter Road", "Challenge Stadium", "River Center Arena", "Olympic Stadium", "Indiana University Auditorium", "Harvard Stadium", "Rexall Place", "Singapore Indoor Stadium", "Hofburg Palace", "5th Avenue Theatre", "Hokkaido Prefectural Sports Center", "Summum", "KC Stadium", "Pellissier Building and Wiltern Theatre", "Ericsson Globe", "Cameron Indoor Stadium", "Hallenstadion", "Savoy Cinema", "Chesapeake Energy Arena", "Alex Box Stadium/Skip Bertman Field", "BJK İnönü Stadium", "Arlington Stadium", "Lahaina Civic Center", "Ikast-Brande Arena", "Atletion", "Alamodome", "Hubert H. Humphrey Metrodome", "Utica Memorial Auditorium", "Three Rivers Stadium", "Wings Stadium", "Jobing.com Arena", "State Theatre", "Saitama Super Arena", "Carter Barron Amphitheatre", "Jeld-Wen Field", "Arena Theatre", "Brandt Centre", "BankUnited Center", "BMO Field", "Stade de France", "Jacksonville Veterans Memorial Arena", "Owensboro Sports Center", "Proctors", "Oakdale Theatre", "AWD-Arena", "Palau Sant Jordi", "Cícero Pompeu de Toledo Stadium", "Davis Wade Stadium", "Royal Festival Hall", "Chase Field", "Comanche County Fairgrounds", "Methodist Central Hall Westminster", "Verizon Theatre at Grand Prairie", "Hinkle Fieldhouse", "Estadio Tetelo Vargas", "Sleep Train Amphitheatre", "New Orleans Arena", "New Amsterdam Theatre", "Vicarage Road", "Stadium Australia", "Boardwalk Hall", "Imperial Theatre", "Los Angeles Theatre", "Barrie Molson Centre", "State Theatre", "The Helix", "Estadio Alberto J. Armando", "Hearst Greek Theatre", "Camp Randall Stadium", "Palace Theatre", "Stade du Hameau", "Goodman Stadium", "Mediolanum Forum", "Teatro alla Scala", "BI-LO Center", "BC Place", "Alerus Center", "Manchester Opera House", "Roy Wilkins Auditorium", "Frederiksberghallen", "Shoreline Amphitheatre", "Shrine Auditorium", "Johnny Unitas Stadium", "Cajundome", "Husky Stadium", "Toyota Center", "TD Ameritrade Park Omaha", "Iberostar Stadium", "Dowdy–Ficklen Stadium", "Grand Ole Opry", "Miller Park", "Princess of Wales Theatre", "Arizona Stadium", "Vancouver Convention Centre", "Qemal Stafa Stadium", "Value City Arena at the Jerome Schottenstein Center", "AFAS Stadion", "Sleeman Centre", "Estádio do Maracanã", "Jim Patterson Stadium", "Sovereign Center", "The Hawthorns", "Bronco Stadium", "Adler Theatre", "Heartland Events Center", "Huntington Center", "Elispace", "Brown Stadium", "Jay Pritzker Pavilion", "Bondi Beach", "Pantages Theatre", "O2 World", "AT&T Center", "Toyota Stadium", "Stade Francis-Le Blé", "Flens-Arena", "Reliant Astrodome", "Luis Conde Arena", "Newcastle City Hall", "Lawson Arena", "Arlene Schnitzer Concert Hall, Portland", "Southampton Guildhall", "Comcast Center", "HR Commitment Arena", "Hyde Park Picture House, Leeds", "Thomas & Mack Center", "East Fremantle Oval", "Paramount Theatre", "Esprit Arena", "The Bell Auditorium", "Alexandra Palace", "Subiaco Oval", "Ralph Engelstad Arena", "Tacoma Dome", "Niaz Stadium", "Five Flags Center", "Webster Bank Arena", "Stadio Ennio Tardini", "Breslin Student Events Center", "Al-Aqsa Mosque", "Luna Park, Buenos Aires", "Teatro Colón, Buenos Aires", "Velodrom", "Metalist Oblast Sports Complex", "Minskoff Theatre", "Shea's Performing Arts Center", "Amsterdam Arena", "BOK Center", "Alfond Arena", "Savannah Civic Center", "Ferguson Center for the Arts", "Pennsylvania Convention Center", "Sears Centre Arena", "Royal Bafokeng Stadium", "MassMutual Center", "Fox Theater", "The Florida Citrus Bowl Stadium", "Aberystwyth Arts Centre", "Martin Stadium", "Bobby Dodd Stadium", "Heinz Field", "Pioneer Center for the Performing Arts", "Metropolitan Opera House", "Veterans Stadium", "Harbour Station", "Plymouth Pavilions", "National Concert Hall, Dublin", "Eastern Kentucky Expo Center", "Lyric Opera House", "Motorpoint Arena Cardiff", "UNI-Dome", "Tate Rink", "National Stadium, Bukit Jalil", "Millerntor-Stadion", "Prospera Place", "Gaylord Family Oklahoma Memorial Stadium", "Canberra Stadium", "Dvorana Mirza Delibašić", "Giants Stadium", "Pride Park Stadium", "Allianz Stadium", "Whistler Olympic Park", "Congress Theater", "ENMAX Centre", "Sports Authority Field at Mile High", "Lake Elsinore Diamond", "The Arches", "Kombank Arena", "Ralph Engelstad Arena", "Neil Simon Theatre", "Carrara Stadium", "Moncton Coliseum", "New York City Center", "Stadion der Freundschaft", "Rugby Park", "Regent Theatre", "Centre Court", "Hill Auditorium", "Cedar Rapids Ice Arena", "Cruzan Amphitheatre", "Colston Hall", "Auditorium-Orchestre National de Lyon", "The Music Hall", "Sam Boyd Stadium", "Curb Event Center", "Ussishkin", "Phoenix Symphony Hall", "Bridgewater Hall, Manchester", "Go Dau Stadium", "Chavez Theatre", "Stadio Renato Curi", "MaxiparkArena", "Great American Ball Park", "Selhurst Park", "Rice Stadium", "U.S. Cellular Arena", "Commonwealth Stadium", "Prudential Center", "Hershey Centre", "Texas Stadium", "Pauley Pavilion", "Fargodome", "McCoy Stadium", "Nelson Mandela Bay Stadium", "Madejski Stadium", "Daytona International Speedway", "Hillsborough Stadium", "Princeton University Stadium", "City of Manchester Stadium", "Griffin Park", "Richard E. Berry Educational Support Center", "Salle Wilfrid-Pelletier, Montreal", "W. L. Zorn Arena", "WVU Coliseum", "Docklands Stadium", "Halifax Metro Centre", "Alamo Stadium", "Ford Field", "Braly Municipal Stadium", "Teatro dell'Opera di Roma", "Comédie-Française", "Olympia Ice Center", "Tyson Events Center", "Estádio da Luz", "Citizens Business Bank Arena", "Stadion im. Tadeusza Ślusarskiego", "Capitol Theatre", "Credit Union Centre", "Denver Coliseum", "National Auditorium of Music", "Wembley Arena", "Deva Stadium", "Norfolk Scope Arena", "McKale Center", "Mackey Arena", "O2 Academy Liverpool", "Manchester Arena", "Falkirk Stadium", "Cox Convention Center", "Molson Canadian Amphitheatre", "Shotwell Stadium", "Estádio José Alvalade", "Palais Omnisports de Paris-Bercy", "Ahmanson Theatre", "Kibbie Dome", "Point Theatre", "TipsArena", "Doak Field", "Racquet Club of Memphis", "Uptown Theater", "Cadillac Palace Theatre", "Boston Opera House", "Palace Theatre", "Centennial Stadium", "Teatro degli Arcimboldi", "Crystal Palace National Sports Centre", "Bartow Arena", "Krannert Center for the Performing Arts", "FedExForum", "Firhill Stadium", "Estadio José Jorge Conte", "Türk Telekom Arena", "Gersten Pavilion", "Ivor Wynne Stadium", "Swedbank Park", "Melching Field at Conrad Park", "Ebbets Field", "Birmingham Hippodrome", "Perth Oval", "Ohio Stadium", "Wells Fargo Arena", "Yakima SunDome", "MGM Grand Garden Arena", "Auckland Civic Theatre", "Symphony Hall, Birmingham", "Beaver Stadium", "Salt Lake Stadium", "Columbus Crew Stadium", "Long Beach Convention and Entertainment Center", "EWE Arena", "Citi Performing Arts Center", "Peabody Auditorium", "Saint Paul RiverCentre", "The Gabba", "E. A. Diddle Arena", "The Louisville Palace", "Ice Palace \"Ural Lightning\"", "Romney Stadium", "CFSB Center", "Rhein-Neckar Arena", "Sadler's Wells Theatre", "Benedum Center", "Madison Square Garden", "Royal Opera House, London", "Anaheim Convention Center", "Conexus Arts Centre", "Stadion Oberwerth", "Citizens Bank Park", "PNC Park", "United Spirit Arena", "Stechert Arena", "Arsenal Stadium", "Franklin Field", "Zénith d'Orléans", "Cypress Mountain Ski Area", "Arena Nova", "Izod Center", "Dolby Theatre", "Hammerstein Ballroom", "Estadio de La Cartuja", "Palais des Sports", "Osceola County Stadium", "ABB Arena Syd", "Usher Hall, Edinburgh", "Sydney Cricket Ground", "Futurist Theatre", "Fir Park", "Agora Theatre and Ballroom", "Coface Arena", "Lanxess Arena" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000200, "question": "the maximum occupancy of which venues is at least 1417?", "answer": [ "Crystal Palace National Sports Centre", "Pennsylvania Convention Center", "Faurot Field", "Sun Devil Stadium", "Chiles Center", "Washington Avenue Armory", "Tilles Center for the Performing Arts", "Sun Life Stadium", "JQH Arena", "Hammerstein Ballroom", "Zellerbach Hall", "Regent Theatre", "Eisarena Salzburg", "Queen Elizabeth Theatre", "Estadio Julio Humberto Grondona", "Nashville Municipal Auditorium", "Yakima SunDome", "Mid-America Center", "McMahon Stadium", "Independence Stadium", "McDiarmid Park", "EnergySolutions Arena", "Wolstein Center", "Wembley Stadium", "Bojangles' Coliseum", "Cheney Stadium", "Shoreline Amphitheatre", "Palaran Stadium", "Cape Town Stadium", "Moses Mabhida Stadium", "Ohio Stadium", "Pride Park Stadium", "Mahalia Jackson Theater of the Performing Arts", "Loftus Versfeld Stadium", "Save-On-Foods Memorial Centre", "Auditorium-Orchestre National de Lyon", "Türk Telekom Arena", "Whistler Sliding Centre", "American Music Theatre", "WACA Ground", "Tate Rink", "Kauffman Center for the Performing Arts", "Gershwin Theatre", "Regent Theatre", "Paulson Stadium", "Peabody Auditorium", "Dee Events Center", "Hokkaido Prefectural Sports Center", "Barclays Center", "The Joint", "Charles Koch Arena", "Conte Forum", "Estadio Universitario", "Morton H. Meyerson Symphony Center, Dallas", "Lipperlandhalle", "Bell Centre", "BC Place", "Copps Coliseum", "United Palace Theater", "Capitol Theatre", "Vines Center", "Peoria Civic Center", "MTS Centre", "Anfield", "University of Dayton Arena", "London Velopark", "Rabobank Arena", "Oslo Opera House", "Bowers Stadium", "Comédie-Française", "Symphony Hall, Birmingham", "Ferrell Center", "Pauley Pavilion", "Robina Stadium", "Fife Ice Arena", "Count Basie Theatre", "Stechert Arena", "University at Buffalo Stadium", "Victoria Hall, Hanley", "Barrie Molson Centre", "Florence Civic Center", "1st Mariner Arena", "Dorton Arena", "Mile High Stadium", "Saratoga Performing Arts Center", "Liberty Bank Stadium", "Ellis Park Stadium", "Sandia Resort and Casino", "Warner Theatre", "BJK İnönü Stadium", "Cow Palace", "Von Braun Center", "Wolverhampton Civic Hall", "Rose Bowl", "Centre Court", "Detroit Opera House", "Consol Energy Center", "Mizzou Arena", "Wang Theatre", "Donbass Arena", "Grand Olympic Auditorium", "Alabama Theatre", "Villa Park", "Swedbank Park", "Tokyo Dome", "The Lowry", "The Florida Citrus Bowl Stadium", "Spartan Stadium", "Doug Mitchell Thunderbird Sports Centre", "Saban Theatre", "John F. Kennedy Stadium", "Britannia Stadium", "FC Dallas Stadium", "HoHoKam Stadium", "Knoxville Civic Auditorium and Coliseum", "Le Grand Rex", "Spokane Veterans Memorial Arena", "Javelina Stadium", "Hill 16", "Krannert Center for the Performing Arts", "State Farm Center", "Osceola County Stadium", "Akoo Theatre at Rosemont", "Pavilion Theatre", "TD Bank Garden", "Palais Garnier", "Holy Name Cathedral, Chicago", "Oslo Spektrum", "Qemal Stafa Stadium", "Stranahan Theater", "Estádio José Alvalade", "Liverpool Empire Theatre", "Hampden Park", "Bill Snyder Family Football Stadium", "Estadio José Jorge Conte", "Roy Wilkins Auditorium", "Stadio Olimpico", "Agora Theatre and Ballroom", "Southampton Guildhall", "Spartan Stadium", "Bloomfield Road", "Chrysler Hall", "Big Sandy Superstore Arena", "Parc des Sports", "Sleep Train Pavilion", "Docklands Stadium", "Marina Civic Center", "Mediolanum Forum", "Elland Road", "Stadium Municipal", "Stadthalle Hagen", "KC Stadium", "Santiago Bernabéu Stadium", "Hearst Greek Theatre", "Edinburgh Playhouse", "Arrowhead Stadium", "New Jersey Performing Arts Center", "National Indoor Arena", "University of Phoenix Stadium", "Clark–LeClair Stadium", "Estádio do Bessa", "I Wireless Center", "El Sadar Stadium", "Don Haskins Center", "Palestra", "Raymond James Stadium", "The Shay", "Arena Theatre", "Hancock Stadium", "Perth Oval", "Ivor Wynne Stadium", "Mackay Stadium", "Oriole Park at Camden Yards", "Sprint Center", "Hobby Center for the Performing Arts", "HK Arena", "Stadio Ennio Tardini", "Aggie Stadium", "Lyceum Theatre", "Kress Events Center", "Norva Theatre", "AFAS Stadion", "Reed Arena", "Kingfield Stadium", "London Coliseum", "Boardwalk Hall", "Olympic Stadium Munich", "York Park", "Antarès", "Melbourne Cricket Ground", "Challenge Stadium", "Kiel Auditorium", "Reynolds Coliseum", "Arena at Gwinnett Center", "UCF Arena", "Vicarage Road", "The Times Union Center", "Minute Maid Park", "O2 Academy Liverpool", "Central Park, Cowdenbeath", "Auburn Arena", "Cambria County War Memorial Arena", "Sony Centre for the Performing Arts", "Lone Star Amphitheater", "Aggie Stadium", "Palladium Ballroom", "Morrison Center", "Saoud bin Abdulrahman Stadium", "The Egg", "East End Park", "U.S. Cellular Coliseum", "Stroh Center", "The Valley", "Estadio Racing Club", "Yale Bowl", "Franklin Field", "Rangers Ballpark in Arlington", "Nokia Theatre L.A. Live", "Robinson Center, Little Rock", "Stadion Oberwerth", "Millerntor-Stadion", "Miami Arena", "Sun National Bank Center", "Michigan Stadium", "Royal Melbourne Showgrounds", "Rexall Centre", "Ninian Park", "Atletion", "Metropolitan Opera House", "Denver Coliseum", "Palace Theatre, Melbourne", "Ice Palace \"Ural Lightning\"", "New York Hippodrome", "Estadio Fortunato Bonelli", "Yankee Stadium", "Stadio Renato Dall'Ara", "Zénith d'Orléans", "The O2", "Phoenix Symphony Hall", "Chicago Theatre", "Centennial Concert Hall, Winnipeg", "Royal Opera House, London", "Ethias Arena", "Chaifetz Arena", "Westpac Stadium", "Brandt Centre", "Ford Field", "Plymouth Pavilions", "ShoWare Center", "Sparkassen-Erzgebirgsstadion", "Gachibowli Indoor Stadium", "Gillette Stadium", "Radio City Music Hall", "E Werk", "Pioneer Center for the Performing Arts", "Welsh-Ryan Arena", "Edinburgh Festival Theatre", "Cotton Bowl", "Hi Corbett Field", "Rexall Place", "Royal Agricultural Hall", "Four Seasons Centre for the Performing Arts", "Molson Canadian Amphitheatre", "Nutter Center", "Vaught–Hemingway Stadium", "Stadio Alberto Braglia", "Whistler Olympic Park", "Apollo Theater", "Fatorda Stadium", "Lakefront Arena", "Centre In The Square", "Alerus Center", "Frank Erwin Center", "Van Andel Arena", "Cricket Wireless Amphitheatre", "Olympia Ice Center", "Estadio Cubierto Newell's Old Boys", "Olympic Stadium", "New York City Center", "Soldiers and Sailors Memorial Auditorium", "Capitol Theatre", "Brown Stadium", "Montgomery Performing Arts Centre", "Royal Theatre Carré", "Fifth Third Arena", "Stan Sheriff Center", "Paramount Theatre", "Doak Field", "Golden Gate Theatre", "Estadio Ciudad de La Plata", "Olympic Stadium", "Riviera Theatre", "Mosaic Place", "Wells Fargo Center", "Belmore Sports Ground", "Vancouver Convention Centre", "Stockholm Olympic Stadium", "Fir Park", "Stade Geoffroy-Guichard", "Sydney Entertainment Centre", "Gaiety Theatre, Dublin", "Falcon Stadium", "Holt Arena", "North Shore Music Theatre", "Eden Park", "Cumberland County Crown Coliseum", "Ems-Hölle", "Jenny Craig Pavilion", "Manchester Arena", "Kezar Stadium", "Palladium Theater", "National Ice Centre", "Phoenix Municipal Stadium", "Angel Stadium of Anaheim", "Allstate Arena", "Bank of America Stadium", "The Centre In Vancouver for Performing Arts", "Celtic Park", "McArthur Court", "Tiger Stadium", "Stockton Arena", "Budweiser Events Center", "Abe Lenstra Stadion", "Lambeau Field", "Bridgestone Arena", "Old Trafford", "Gigantium", "United Center", "USF Sun Dome", "Arena do Grêmio", "Amsterdam Arena", "Palacio Vistalegre", "Cheltenham Racecourse", "GCS Ballpark", "Principal Park", "Western Hall", "Community Arts Center", "Somerset Park", "Eriksdalshallen", "Matthew Knight Arena", "Megasport Arena", "Hanover Theatre for the Performing Arts", "Gibson Amphitheatre", "Los Angeles Theatre", "Fillmore Auditorium", "Fisher Field", "Dean Smith Center", "Jalan Besar Stadium", "Scottrade Center", "Iberostar Stadium", "Tokyo Dome City", "Cadillac Palace Theatre", "Dolby Theatre", "U.S. Cellular Field", "Beijing National Stadium", "Giants Stadium", "Jim Patterson Stadium", "DTE Energy Music Theatre", "Estadio José María Bértora", "Value City Arena at the Jerome Schottenstein Center", "Qualcomm Stadium", "Kidd Brewer Stadium", "Ted Constant Convocation Center", "Penydarren Park", "Ross–Ade Stadium", "Anoeta Stadium", "Prudential Center", "Palais des Sports", "Fox Theatre", "Beethovenhalle", "The Helix", "McKale Center", "Mercedes-Benz Superdome", "CenturyLink Center Omaha", "Coface Arena", "Shea Stadium", "Princess of Wales Theatre", "Lincoln Financial Field", "PalaLottomatica", "Al-Hamadaniah Stadium", "Citizens Bank Park", "Nuremberg Arena", "Stadio delle Alpi", "Rimrock Auto Arena at MetraPark", "Metalist Oblast Sports Complex", "Majestic Theatre", "Hubert H. Humphrey Metrodome", "Estadi Ciutat de València", "Lake Elsinore Diamond", "Riverbend Music Center", "Giant Center", "Romney Stadium", "Futurist Theatre", "Stade Sébastien Charléty", "Cannon Center-Performing Arts", "Lane Stadium", "California Memorial Stadium", "Scotiabank Saddledome", "Goodison Park", "Jazz at Lincoln Center", "Silverdome", "New World Stages", "Niaz Stadium", "Bridgewater Hall, Manchester", "Juventus Stadium", "Academy of Music", "Chase Field", "Rhein-Neckar Arena", "Bryce Jordan Center", "O'Connell Center", "Carrier Dome", "Rentschler Field", "Estádio da Luz", "Stadthalle Graz", "Palace Theatre", "W. L. Zorn Arena", "Newcastle City Hall", "Darrell K Royal–Texas Memorial Stadium", "Cruzan Amphitheatre", "Camelback Ranch", "The Bell Auditorium", "Benjamin and Marian Schuster Performing Arts Center", "Webster Bank Arena", "Comanche County Fairgrounds", "Lucas Oil Stadium", "Tampereen jäähalli", "Thunder Bay Community Auditorium", "Estadio El Madrigal", "St. Augustine Amphitheatre", "The Oval", "Kauffman Stadium", "Estadio de La Cartuja", "The Dome Leisure Centre", "Verizon Wireless Amphitheater", "Sports Ground, Woodbridge Road, Guildford", "Charles E. Smith Athletic Center", "Olympic Stadium", "Heinz Field", "Adler Theatre", "Red Bull Arena", "Stade de Gerland", "Hampton Coliseum", "Popejoy Hall", "Toyota Stadium", "Mayo Civic Center", "Stadio Artemio Franchi", "Lord's Cricket Ground", "Embassy Theatre", "City National Grove of Anaheim", "Deva Stadium", "Palais Omnisports de Paris-Bercy", "The O2 Arena", "Camille Chamoun Sports City Stadium", "Madejski Stadium", "UNI-Dome", "Goodman Stadium", "MaxiparkArena", "Tonhalle", "Achilles Rink", "Benedum Center", "PNC Bank Arts Center", "Busch Memorial Stadium", "Frankfurter Volksbank Stadion", "Johnny Unitas Stadium", "Donau Arena", "Sleeman Centre", "Capitol Theatre", "Olsen Field at Blue Bell Park", "Orpheum Theatre", "DakotaDome", "Sonny Lubick Field at Hughes Stadium", "Manchester Central Convention Complex", "Amon G. Carter Stadium", "Grand Ole Opry", "Velodrom", "Koning Willem II Stadion", "UNF Arena", "Seminole Hard Rock Hotel and Casino Hollywood", "Hard Rock Hotel and Casino", "Rec Hall", "Doak Campbell Stadium", "CenturyLink Center", "BankUnited Center", "Roundhouse", "Scheels Arena", "Legion Field", "Max-Schmeling-Halle", "Maple Leaf Gardens", "Sports Authority Field at Mile High", "Owensboro Sports Center", "Savoy Cinema", "Staples Center", "The Gabba", "Mohegan Sun Arena", "Tiger Stadium", "Thebarton Theatre", "Melbourne Multi Purpose Venue", "Palais Theatre", "Joe Louis Arena", "Winter Garden Theatre", "Kohl Center", "U.S. Cellular Center", "Cobb Energy Performing Arts Centre", "Ottawa Convention Centre", "The Music Hall", "Gatorade Garden City Complex", "Orpheum Theatre", "Harry A. Gampel Pavilion", "TD Ameritrade Park Omaha", "Oracle Arena", "Spiroudome", "Pepsi Center", "Crisler Center", "Preußenstadion", "Teatro dell'Opera di Roma", "Deltaplex Arena & Conference Center", "Estadio Nuevo Los Cármenes", "Edgbaston Cricket Ground", "Estádio do Dragão", "Stade de la Mosson", "Sudbury Community Arena", "Williams Arena", "Putra Indoor Stadium", "Gaillard Municipal Auditorium", "Kelly/Shorts Stadium", "Estadio Marcelo Bielsa", "Eden Gardens", "Kimmel Arena", "Foxwoods Theatre", "The Whiting", "Convocation Center", "Comcast Center", "O2 Academy Glasgow", "Lawrence Joel Veterans Memorial Coliseum", "First Niagara Center", "Jobing.com Arena", "Tulalip Resort Casino", "Estadio Ciudad de Santiago del Estero", "Daytona International Speedway", "Wallace Wade Stadium", "Pantages Theatre", "Aberystwyth Arts Centre", "Volleyball Sportiv Complex", "Churchill Downs", "Estadio Riazor", "Charlotte Coliseum", "Stabler Arena", "Hinkle Fieldhouse", "Prince Edward Theatre", "Congress Theatre", "Chavez Theatre", "Griffin Park", "Reser Stadium", "St James' Park", "Thomas & Mack Center", "Ryan Field", "Fox Theater Pomona", "Memorial Stadium", "Stade Auguste Bonal", "Városi Sportcsarnok", "Vikings Stadium", "Curry Hicks Cage", "Comcast Arena", "Alfond Arena", "Autzen Stadium", "Allianz Stadium", "Hammersmith Palais", "National Stadium, Bukit Jalil", "Donald L. Tucker Center", "Allen County War Memorial Coliseum", "Racquet Club of Memphis", "The Muny", "Orleans Arena", "Ralph Engelstad Arena", "Washington–Grizzly Stadium", "San Jose Center For The Performing Arts", "Camp Randall Stadium", "Red Rock Resort Spa and Casino", "Perth Arena", "Ajinomoto Stadium", "Fratton Park", "Regent Theatre, Melbourne", "Elispace", "River Center Arena", "Los Angeles Memorial Sports Arena", "Savannah Civic Center", "Eintracht-Stadion", "Canton Memorial Civic Center", "Cowboys Stadium", "Bord Gáis Energy Theatre", "U.S. Cellular Arena", "Maverick Baseball Stadium", "Medicine Hat Arena", "EnergyAustralia Stadium", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Stade de la Route de Lorient", "Brighton Centre", "Daniel–Meyer Coliseum", "Littlejohn Coliseum", "Los Angeles Memorial Coliseum", "FedExField", "Packard Stadium", "National Auditorium of Music", "Rugby Park", "Falkirk Stadium", "Harris Theater", "Tampa Bay Times Forum", "LP Field", "Moncton Coliseum", "LaVell Edwards Stadium", "Waterfront Hall", "Cameron Stadium", "Royal Bafokeng Stadium", "King Power Stadium", "Pavilion Theatre", "Buck Shaw Stadium", "Braly Municipal Stadium", "Target Center", "Orpheum Theatre", "AWD-Arena", "Verizon Center", "Taco Bell Arena", "American Bank Center", "Aronoff Center", "Citi Performing Arts Center", "Scandinavium", "Duluth Entertainment Convention Center", "Redondo Beach Performing Arts Center", "Peace and Friendship Stadium", "Rod Laver Arena", "National Aquatic Centre", "Town Toyota Center", "Theater des Westens", "Carnie Smith Stadium", "Bartow Arena", "Kitchener Memorial Auditorium Complex", "Venue Cymru", "Mississippi Coliseum", "Robins Center", "Metro Radio Arena", "East Fremantle Oval", "Dowdy–Ficklen Stadium", "Charles C. Hughes Stadium", "El Paso County Coliseum", "Cassell Coliseum", "Whittemore Center", "Bramall Lane", "Odyssey Arena", "Uptown Theater", "Kingsmeadow", "National Hockey Stadium", "Wellmont Theatre", "Coliseum Alfonso Pérez", "Gayfield Park", "Riverfront Stadium", "Opéra Bastille", "Majestic Theater", "King's Theatre, Glasgow", "Princeton University Stadium", "1stBank Center", "Verizon Arena", "John E. Worthen Arena", "Weserstadion", "Credicard Hall", "Civic Arena", "Kibbie Dome", "Uptown Theatre", "Magness Arena", "Husky Stadium", "Bronco Stadium", "Soldier Field", "Ryan Center", "Shanghai Stadium", "Avery Fisher Hall", "William \"Dick\" Price Stadium", "Hult Center for the Performing Arts", "Beijing National Aquatics Center", "Lawson Arena", "The Sage Gateshead", "Marin County Civic Center", "Columbus Crew Stadium", "HP Pavilion at San Jose", "Hofheinz Pavilion", "Olympia Bruno Coquatrix", "Stadium of Light", "Pauley Pavilion", "Stadion An der Alten Försterei", "König Pilsener Arena", "K-Rock Centre", "Rogers Centre", "Viejas Arena", "E. A. Diddle Arena", "Greensboro Coliseum Complex", "High Point Solutions Stadium", "Tuacahn", "Ralph Wilson Stadium", "Kitchener Memorial Auditorium", "Estadio Nuevo José Zorrilla", "Estadio Olímpico Andrés Quintana Roo", "Ullevi", "Sawyer Center", "Kinnick Stadium", "Wagner Noel Performing Arts Center", "Mariucci Arena", "Notre Dame Stadium", "Spartak Stadium", "Bob Devaney Sports Center", "Sullivan Athletic Center", "Glasgow Royal Concert Hall", "PNC Arena", "László Papp Budapest Sports Arena", "Nationals Park", "XL Center", "BayArena", "Carter Barron Amphitheatre", "United Spirit Arena", "Aviva Stadium", "Wembley Arena", "Floyd Casey Stadium", "Georgia Dome", "Brisbane Entertainment Centre", "Huntington Avenue Grounds", "Expo Square Pavilion", "Stade du Moustoir", "The Pavilion", "MGM Grand Garden Arena", "Verizon Wireless Amphitheatre", "American Airlines Center", "Massey Hall", "Bangalore Football Stadium", "Cox Convention Center", "Veterans Memorial Auditorium", "Concertgebouw, Amsterdam", "Red Star Stadium", "Palace Theatre", "Palau Sant Jordi", "Budweiser Gardens", "Carter–Finley Stadium", "Pan American Center", "Adelphi Theatre", "Municipal Auditorium", "Carnesecca Arena", "Sleep Train Amphitheatre", "Al-Aqsa Mosque", "Luis Conde Arena", "Her Majesty's Theatre, Melbourne", "Kampa-Halle", "Foro Sol", "Towson Center", "Teatro Colón, Buenos Aires", "Allen Fieldhouse", "State Theatre", "Intrust Bank Arena", "William D. Mullins Memorial Center", "Neil Simon Theatre", "San Diego Civic Theatre", "Hallenstadion", "Harbour Station", "Kemper Arena", "CFSB Center", "Nippon Budokan", "Rogers Arena", "FIU Stadium", "The Hawthorns", "Taft Theatre", "Folsom Field", "Birmingham Hippodrome", "Wings Stadium", "Moody Coliseum", "Veltins-Arena", "Shotwell Stadium", "Broome County Veterans Memorial Arena", "Comerica Theatre", "Maverik Center", "The Palace of Auburn Hills", "Shea's Performing Arts Center", "Susquehanna Bank Center", "McCoy Stadium", "Grugahalle", "M&T Bank Stadium", "Miller Park", "National Concert Hall, Dublin", "Bahrain National Stadium", "Soccer City", "Manchester Central Convention Complex", "BB&T Center", "Red Rocks Amphitheatre", "Schermerhorn Symphony Center", "Boston Garden", "Stamford Bridge", "Baum Stadium", "Alpine Valley Music Theatre", "Şükrü Saracoğlu Stadium", "Peter Mokaba Stadium", "Bramlage Coliseum", "INB Performing Arts Center", "Mestalla Stadium", "Coleman Coliseum", "Memorial Stadium, Lincoln", "Lanxess Arena", "Princess Theatre, Melbourne", "Subiaco Oval", "Great American Ball Park", "Allianz Arena", "Norfolk Scope Arena", "Alexandra Palace", "Pharr International Convention Center", "Paul Brown Stadium", "Grand Theatre, Leeds", "San Francisco Airport Marriott Waterfront", "Blue Cross Arena", "Elliott Hall of Music", "Bobby Dodd Stadium", "Salvus-Stadion am Grevener Damm", "Stanford Stadium", "Salle Wilfrid-Pelletier, Montreal", "Gallagher-Iba Arena", "BOK Center", "Yost Ice Arena", "The Bank of Kentucky Center", "Charline McCombs Empire Theatre", "Petco Park", "Theatre Royal, Drury Lane", "Candlestick Park", "Meadow Park", "Prospera Place", "Arlington Stadium", "Go Dau Stadium", "Cedar Rapids Ice Arena", "Wrigley Field", "Curb Event Center", "Pitt Stadium", "Olympic Stadium", "Mile One Centre", "Auditorium Parco della Musica", "BMO Harris Bank Center", "Selhurst Park", "Twickenham Stoop", "John Paul Jones Arena", "Newcastle Entertainment Centre", "Flens-Arena", "Rajamangala Stadium", "Bright House Networks Stadium", "Eastman Theatre", "Tropicana Field", "Alex Box Stadium/Skip Bertman Field", "The Fillmore Detroit", "State Theatre", "Conexus Arts Centre", "Vienna State Opera", "Columbus Civic Center", "Hofburg Palace", "Suheim Bin Hamad Stadium", "Percival Molson Memorial Stadium", "Sydney Cricket Ground", "State Theatre", "Commonwealth Stadium", "Spreckels Theater", "Molineux Stadium", "Bethel Woods Center for the Arts", "Cintas Center", "Joseph P. Riley, Jr. Park", "Gigg Lane", "Wiener Musikverein", "Braehead Arena", "Laredo Energy Arena", "Miami Orange Bowl", "Rhodes Stadium", "Jon M. Huntsman Center", "Frederiksberghallen", "Estadio Tetelo Vargas", "David A. Straz Jr. Center for the Performing Arts", "Cam Henderson Center", "Lunt-Fontanne Theatre", "Edward Jones Dome", "AT&T Park", "Hampton Convocation Center", "Citizens Business Bank Arena", "MDCC-Arena", "Minneapolis Convention Center", "Benteler Arena", "Wortham Theater Center", "Reitz Arena", "Hanns-Martin-Schleyer-Halle", "Maui Arts & Cultural Center", "Five Flags Center", "Event Center Arena", "Safeco Field", "Utica Memorial Auditorium", "Papa John's Cardinal Stadium", "Sanford Stadium", "Gerry Weber Stadion", "Polideportivo Islas Malvinas", "Le Transbordeur", "Carrara Stadium", "Nelson Mandela Bay Stadium", "Royal Festival Hall", "Old National Centre", "Texas Stadium", "D.C. Armory", "Arena Nova", "Enmore Theatre", "Estádio do Pacaembu", "Maples Pavilion", "Underhill Stadium", "Millennium Stadium", "Roanoke Civic Center", "Westfalenstadion", "Germain Arena", "Kay Bailey Hutchison Convention Center", "O2 World", "New Road, Worcester", "Smart Araneta Coliseum", "Landmark Theatre", "Riverside Theater", "Cedar Park Center", "The Den", "Ibrox Stadium", "Anaheim Convention Center", "Stade Armand Cesari", "State Theatre", "The Pit", "Izod Center", "Ahmanson Theatre", "Peterborough Memorial Centre", "Sears Centre Arena", "Estadi Olímpic Lluís Companys", "Admiralspalast", "Stanley Park Stadium", "Heartland Events Center", "Ben Hill Griffin Stadium", "TD Waterhouse Stadium", "Tad Smith Coliseum", "Star Plaza Theatre", "City of Manchester Stadium", "Auditorio Banamex", "Commerzbank-Arena", "National Auditorium", "Marion Palace Theatre", "The Louisville Palace", "Teatro alla Scala", "The Centre", "Honda Center", "Gaylord Family Oklahoma Memorial Stadium", "KSU Convocation Center", "De Montfort Hall", "Sheikh Khalifa International Stadium", "Estádio do Maracanã", "Old Trafford Cricket Ground", "EWE Arena", "Skelly Field at H. A. Chapman Stadium", "Boleyn Ground", "Lloyd Noble Center", "Ewood Park", "General Motors Centre", "Cajun Field", "Paul E. Tsongas Center at UMass Lowell", "Petersen Events Center", "Nassau Veterans Memorial Coliseum", "Amway Arena", "Cumberland County Civic Center", "Dunkin' Donuts Center", "Cowtown Coliseum", "Anhalt Arena", "The Lighthouse", "Charleston Civic Center", "Calihan Hall", "Jordan–Hare Stadium", "Marriott Center", "St David's Hall", "Calvin Gilmore Theater", "Patriot Center", "Bryant–Denny Stadium", "Keller Auditorium", "Sleep Train Arena", "Alamodome", "Forrest Theatre", "Byrd Stadium", "Lynah Rink", "Glens Falls Civic Center", "Shrine Auditorium", "Worthington Arena", "Cole Field House", "Ussishkin", "Liacouras Center", "St Andrew's", "Tower Theater", "Stuart C. Siegel Center", "Summum", "Vector Arena", "Nationwide Arena", "The Forum", "St. James Theatre, Wellington", "Marlins Park", "Waldo Stadium", "Orpheum Theatre", "Pacific Coliseum", "Agganis Arena", "BI-LO Center", "Rialto Square Theatre", "Lotto Arena", "Reno Events Center", "Pabellón Polideportivo Artaleku", "Show Me Center", "Balaídos", "Abbotsford Entertainment & Sports Centre", "Richmond Olympic Oval", "Luna Park, Buenos Aires", "Town Hall", "Methodist Central Hall Westminster", "Nippert Stadium", "Tad Gormley Stadium", "Coors Events Center", "Canberra Stadium", "Jacksonville Veterans Memorial Arena", "Centennial Stadium", "National Arts Centre, Ottawa", "Chicago Stadium", "Stadio Antonio Bianco", "Jones AT&T Stadium", "Peden Stadium", "Gerald J. Ford Stadium", "Marina Bay Sands", "Durham Performing Arts Center", "Memorial Stadium", "Stadion der Freundschaft", "Comerica Park", "O2 Arena", "Yokohama Arena", "Ebbets Field", "Kombank Arena", "Veterans Memorial Coliseum", "GelreDome", "Ericsson Globe", "Austin Convention Center", "Halifax Metro Centre", "Hyde Park Picture House, Leeds", "Lander's Center", "5th Avenue Theatre", "Fox Theatre", "Hershey Centre", "Ralph Engelstad Arena", "New Orleans Arena", "BancorpSouth Arena", "Michie Stadium", "Kyle Field", "Kölner Philharmonie", "American Airlines Arena", "TCF Bank Stadium", "Indiana University Auditorium", "Tampa Stadium", "Arsenal Stadium", "AT&T Performing Arts Center", "War Memorial Stadium", "Wells Fargo Arena", "Amman International Stadium", "Cobo Center", "Mosaic Stadium at Taylor Field", "Dale F. Halton Arena", "Cícero Pompeu de Toledo Stadium", "Boston Opera House", "KFC Yum! Center", "Gachibowli Athletic Stadium", "Oakland-Alameda County Coliseum", "Melching Field at Conrad Park", "Capitol Theatre, Sydney", "New Wimbledon Theatre", "Zénith de Strasbourg", "Philips Arena", "Orpheum Theatre", "Estadio Azteca", "Murrayfield Ice Rink", "Hillsborough Stadium", "Estadio Benito Villamarín", "Turner Field", "Theatre Royal, Glasgow", "Mage Solar Stadion", "Sullivan Arena", "Neyland Stadium", "RCA Dome", "Estadio Alberto J. Armando", "Oakdale Theatre", "Assembly Hall", "Dow Event Center", "Alex G. Spanos Center", "Estádio Olímpico João Havelange", "Verizon Wireless Arena", "The Broadway Theatre", "Crystal Cathedral", "Ferguson Center for the Arts", "Williams-Brice Stadium", "War Memorial Auditorium", "Carver–Hawkeye Arena", "Stade de France", "Bellerive Oval", "London Palladium", "Tacoma Dome", "Walt Disney Concert Hall", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Tucson Convention Center", "Roberts Municipal Stadium", "Adriatic Arena", "Target Field", "Echo Arena Liverpool", "Al Hirschfeld Theatre", "Astana Arena", "Winspear Opera House, Dallas", "Wicomico Youth and Civic Center", "ENMAX Centre", "Andrew Jackson Hall", "Canad Inns Stadium", "Stadion im. Tadeusza Ślusarskiego", "Raleigh Convention Center", "The Home Depot Center", "Palau d'Esports de Granollers", "Redbird Arena", "MassMutual Center", "Colonial Life Arena", "London Astoria", "Craven Cottage", "Teatro degli Arcimboldi", "Viaero Event Center", "Sunderland Empire Theatre", "PPL Park", "Frost Arena", "Miami Beach Convention Center", "Perth Concert Hall", "Easter Road", "Proctors", "Bondi Beach", "De Grolsch Veste", "Stade Francis-Le Blé", "Covelli Centre", "Best Buy Theater", "Valley View Casino Center", "Memorial Stadium, Clemson", "Vancouver Forum", "Wiener Stadthalle Hall D", "Esprit Arena", "New Theatre Oxford", "War Memorial Stadium", "Cleveland Stadium", "Roxy Theatre", "Xcel Energy Center", "Ulster Performing Arts Center", "KeyArena", "Alamo Stadium", "Toyota Park", "Råsunda Stadium", "Hill Auditorium", "Sadler's Wells Theatre", "Androscoggin Bank Colisée", "Palais des congrès de Paris", "Glücksgas Stadium", "Saint Paul RiverCentre", "OlympiaWorld Innsbruck", "Tatran Handball Arena", "Emirates Stadium", "Chacarita Juniors Stadium", "Nya Parken", "Salem Civic Center", "North Harbour Stadium", "Point Theatre", "Toyota Center", "RiverCenter for the Performing Arts", "Reliant Astrodome", "De Doelen", "Gill Coliseum", "Columbiahalle", "Green Point Stadium", "Bob Carpenter Center", "Fox Theatre", "Galen Center", "Adelaide Oval", "Fenway Park", "The Elgin Theatre", "Rittal Arena Wetzlar", "TSB Bank Arena", "Beaver Stadium", "Ordway Center for the Performing Arts", "Wembley Stadium", "Winnipeg Arena", "Mitsubishi Electric Halle", "Ricoh Arena", "MacInnes Student Ice Arena", "Air Canada Centre", "Colston Hall", "North Charleston Coliseum", "Cynthia Woods Mitchell Pavilion", "Cameron Indoor Stadium", "Coors Field", "Rice Stadium", "Bridgeforth Stadium and Zane Showker Field", "Durham Bulls Athletic Park", "Sovereign Center", "Faliro Coastal Zone Olympic Complex", "Kenan Memorial Stadium", "Bill Graham Civic Auditorium", "Creighton Orpheum Theater", "Wales Millennium Centre", "Grand Lake Theater", "Robertson Stadium", "Winter Gardens, Blackpool", "Theodoros Kolokotronis Stadium", "Beacon Theatre, New York", "Goss Stadium at Coleman Field", "Commonwealth Stadium", "WVU Coliseum", "Rose Garden", "İzmir Atatürk Stadium", "Symphony Hall", "Three Rivers Stadium", "Foreman Field", "AT&T Center", "Stadio San Paolo", "Hilton Coliseum", "Vanderbilt Stadium", "Stadio Olimpico di Torino", "New I-Mobile Stadium", "Teatro di San Carlo, Naples", "ARCO Arena I", "FirstEnergy Stadium", "The Arches", "Peabody Opera House", "Quicken Loans Arena", "Pensacola Civic Center", "Compuware Arena", "UFCU Disch–Falk Field", "Tyson Events Center", "Thompson–Boling Arena", "Estadio de Béisbol Monterrey", "Dodger Stadium", "Majestic Theatre", "Swayze Field", "Mackey Arena", "Rio Tinto Stadium", "Foxboro Stadium", "Jiffy Lube Live", "Donald W. Reynolds Razorback Stadium", "ABB Arena Syd", "Salt Lake Stadium", "Bankers Life Fieldhouse", "Bushnell Center for the Performing Arts", "Sun Bowl Stadium", "New Amsterdam Theatre", "FedExForum", "Emens Auditorium, Ball State University", "Ashton Gate Stadium", "Eisstadion Weißwasser", "Warner Theatre", "Cardiff Arena", "Knapp Center", "Orange County Convention Center", "Estadio Monumental Antonio Vespucio Liberti", "Marquis Theatre", "Empire, Leicester Square", "Estadio De Béisbol Héctor Espino", "Lawlor Events Center", "BB&T Field", "Princess Theatre, Torquay", "Jack Trice Stadium", "Broward Center for the Performing Arts", "Festival Hall", "Clyde Auditorium", "Pellissier Building and Wiltern Theatre", "Scott Stadium", "Dominion Theatre", "Philips Stadion", "Alumni Stadium", "Motorpoint Arena Cardiff", "Zenith Arena", "Eastern Kentucky Expo Center", "Pete Maravich Assembly Center", "Pershing Center", "Huish Park", "Suncorp Stadium", "Bud Walton Arena", "Ricoh Coliseum", "HR Commitment Arena", "Edmund P. Joyce Center", "Chesapeake Energy Arena", "Lahaina Civic Center", "Harvard Stadium", "Teatro Real, Madrid", "Lyric Theatre, Sydney", "Victoria Palace Theatre", "Yubileyny Sports Palace", "Thomas Wolfe Auditorium", "Cypress Mountain Ski Area", "La Romareda", "Ottawa Civic Centre", "Asim Ferhatović Hase Stadium", "White Hart Lane", "Stade Marcel Picot", "Jeld-Wen Field", "Nikon at Jones Beach Theater", "Ed Mirvish Theatre", "Estádio Vila Capanema", "Richard E. Berry Educational Support Center", "Brooklyn Academy of Music", "Dvorana Mirza Delibašić", "O2 World", "Apollo Victoria Theatre", "McKenzie Arena", "Comcast Center", "Davis Wade Stadium", "The Time Warner Cable Arena", "Saitama Super Arena", "Winthrop Coliseum", "Apollo Theater", "Arena di Verona", "Goggin Ice Arena", "U.S. Bank Arena", "UIC Pavilion", "Stadio Renato Curi", "Credit Union Centre", "Busch Stadium", "Gersten Pavilion", "Barabati Stadium", "Stade du Hameau", "Sam Boyd Stadium", "Volkswagen Arena", "Memorial Stadium", "Louis Brown Athletic Center", "Osaka Dome", "Rice-Eccles Stadium", "Auditorio Telmex", "Firhill Stadium", "Football Park", "Carlson Center", "Motorpoint Arena Sheffield", "Robert F. Kennedy Memorial Stadium", "Miller Outdoor Theatre", "Wankhede Stadium", "The Coronet", "Strahan Coliseum", "Arizona Stadium", "Long Beach Convention and Entertainment Center", "Manchester Opera House", "Morris Performing Arts Center", "Dahlberg Arena", "Jay Pritzker Pavilion", "Palace Theatre", "Nelson W. Wolff Municipal Stadium", "Rialto Theatre", "FAU Stadium", "Bobcat Stadium", "Matthews Arena", "Bristol Hippodrome", "Campo de Fútbol de Vallecas", "Munn Ice Arena", "Family Arena", "Sioux Falls Arena", "Allphones Arena", "Ladd Peebles Stadium", "Ikast-Brande Arena", "Freedom Hall", "MetLife Stadium", "Toyota Center", "Tannadice Park", "Majestic Theatre", "Hartwall Areena", "Sanford Center", "Congress Theater", "Coronado Performing Arts Center", "US Airways Center", "PNC Park", "Twickenham Stadium", "Loftus Road", "Imperial Theatre", "Arlene Schnitzer Concert Hall, Portland", "AWD Hall", "Cajundome", "Granada Theater", "Independence Events Center", "Salt River Fields at Talking Stick", "DCU Center", "Smith Center for the Performing Arts", "Dom Sportova", "TipsArena", "Shakespeare's Globe", "BMO Harris Bradley Center", "Stadio Giovanni Zini", "WesBanco Arena", "Chester Fritz Auditorium", "Haas Pavilion", "World Arena, Colorado Springs", "Fargodome", "Mountaineer Field at Milan Puskar Stadium", "Veterans Stadium", "First Arena", "Rose Bowl", "Bass Performance Hall", "Celebrity Theatre", "Scotiabank Place", "Stadium Australia", "Tynecastle Stadium", "Breslin Student Events Center", "Resch Center", "The Orbit Room", "Alabama Theatre", "Ottawa Auditorium", "LDS Conference Center", "Croke Park", "Mohegan Sun Arena at Casey Plaza", "Hagan Arena", "Ford Center", "Birmingham–Jefferson Convention Complex", "Victoria Theatre", "Memorial Gymnasium", "Stade Vélodrome", "Tulane Stadium", "Madison Square Garden", "Allen Event Center", "Surprise Stadium", "Singapore Indoor Stadium", "Fox Theater", "Aloha Stadium", "Sydney Opera House", "Louise M. Davies Symphony Hall", "Vicente Calderón Stadium", "James A. Rhodes Arena", "Stadio Artemio Franchi – Montepaschi Arena", "Esplanade - Theatres on the Bay, Singapore", "Cliffs Pavilion", "Regent Theatre, Dunedin", "Consol Energy Center", "Lyric Opera House", "Tennessee Theatre", "CenturyLink Field", "Usher Hall, Edinburgh", "Thani bin Jassim Stadium", "Durham County Stadium", "Beijing National Aquatics Center", "Huntington Center", "Yankee Stadium", "Ponds Forge International Sports Centre", "Swedbank Stadion", "The Concert Hall in Aarhus", "Palace Theatre, Manchester", "National Theatre", "Orpheum", "Liberty Bowl Memorial Stadium", "Lakewood Church Central Campus", "Víctor Jara Stadium", "Portsmouth Guildhall", "Verizon Theatre at Grand Prairie", "Auckland Civic Theatre", "HMV Forum", "Western Springs Stadium", "BMO Field", "Lansdowne Road", "SIU Arena", "Sleuyter Arena", "Martin Stadium", "EverBank Field", "Rupp Arena", "Memorial Stadium", "Progressive Field", "Sacramento Convention Center Complex", "Reebok Stadium", "Headingley Stadium", "Minskoff Theatre", "Kungliga tennishallen", "Citi Field", "San Siro Stadium", "Reliant Stadium", "Save Mart Center", "Wells Fargo Arena", "Love Street", "Boone Pickens Stadium", "Liberty Stadium", "Richmond Coliseum", "Riverside Stadium", "Camp Nou", "Jorgensen Center for the Performing Arts", "Gold Coast Convention and Exhibition Centre", "Hollywood Bowl", "Amway Center", "Pittodrie Stadium" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000300, "question": "what are the venues that have at least 1417 seats?", "answer": [ "Stabler Arena", "Bangalore Football Stadium", "Auditorio Banamex", "1stBank Center", "Melching Field at Conrad Park", "New I-Mobile Stadium", "Soldiers and Sailors Memorial Auditorium", "Wagner Noel Performing Arts Center", "Comcast Arena", "Hammersmith Palais", "Shotwell Stadium", "Warner Theatre", "Arena do Grêmio", "Pellissier Building and Wiltern Theatre", "Palestra", "Liverpool Empire Theatre", "Winter Gardens, Blackpool", "Boston Garden", "Galen Center", "Ralph Engelstad Arena", "Nokia Theatre L.A. Live", "Arena di Verona", "Stade Geoffroy-Guichard", "Al-Aqsa Mosque", "Saint Paul RiverCentre", "Red Star Stadium", "Donald W. Reynolds Razorback Stadium", "Walt Disney Concert Hall", "Count Basie Theatre", "Santiago Bernabéu Stadium", "De Doelen", "Dom Sportova", "Megasport Arena", "Target Center", "Fox Theatre", "Auburn Arena", "Pepsi Center", "Estádio José Alvalade", "Lahaina Civic Center", "U.S. Cellular Center", "Jenny Craig Pavilion", "Sacramento Convention Center Complex", "The Lowry", "Hallenstadion", "Opéra Bastille", "Columbus Crew Stadium", "Orleans Arena", "The O2 Arena", "Peabody Opera House", "Cheney Stadium", "Granada Theater", "Lloyd Noble Center", "Fifth Third Arena", "Kungliga tennishallen", "New Wimbledon Theatre", "Marquis Theatre", "Iberostar Stadium", "Central Park, Cowdenbeath", "Salt River Fields at Talking Stick", "D.C. Armory", "Cassell Coliseum", "Ebbets Field", "Rajamangala Stadium", "Candlestick Park", "BOK Center", "United Palace Theater", "Comcast Center", "Arena Nova", "Petersen Events Center", "Palau d'Esports de Granollers", "Veterans Stadium", "Flens-Arena", "Durham Bulls Athletic Park", "Amway Arena", "MetLife Stadium", "Oakland-Alameda County Coliseum", "Hampton Coliseum", "MacInnes Student Ice Arena", "Wells Fargo Center", "Prince Edward Theatre", "Bill Graham Civic Auditorium", "Germain Arena", "Valley View Casino Center", "Vicarage Road", "State Theatre", "Academy of Music", "UIC Pavilion", "Marina Bay Sands", "TipsArena", "Whistler Sliding Centre", "Curb Event Center", "Princess Theatre, Melbourne", "Elland Road", "TD Ameritrade Park Omaha", "Tower Theater", "New York Hippodrome", "Antarès", "Newcastle Entertainment Centre", "Verizon Wireless Amphitheater", "HP Pavilion at San Jose", "Goss Stadium at Coleman Field", "Mile High Stadium", "Capitol Theatre", "Bell Centre", "Cynthia Woods Mitchell Pavilion", "Eisarena Salzburg", "Matthew Knight Arena", "Robert F. Kennedy Memorial Stadium", "Minskoff Theatre", "Williams Arena", "Stade Armand Cesari", "Louis Brown Athletic Center", "Chester Fritz Auditorium", "DTE Energy Music Theatre", "David A. Straz Jr. Center for the Performing Arts", "Stadium of Light", "Kay Bailey Hutchison Convention Center", "BankUnited Center", "Alex Box Stadium/Skip Bertman Field", "Gachibowli Athletic Stadium", "John E. Worthen Arena", "Gibson Amphitheatre", "Loftus Road", "Princess Theatre, Torquay", "Somerset Park", "Old Trafford", "Family Arena", "Rogers Centre", "Ems-Hölle", "Docklands Stadium", "Commerzbank-Arena", "Redondo Beach Performing Arts Center", "Olympic Stadium", "The Egg", "Centre Court", "Crystal Cathedral", "Estadio de La Cartuja", "Royal Opera House, London", "U.S. Bank Arena", "The Broadway Theatre", "Rabobank Arena", "1st Mariner Arena", "Waldo Stadium", "Ryan Center", "Regent Theatre, Dunedin", "László Papp Budapest Sports Arena", "Reliant Astrodome", "Max-Schmeling-Halle", "Orpheum Theatre", "Ottawa Auditorium", "Sun Bowl Stadium", "Towson Center", "KeyArena", "Philips Arena", "Bill Snyder Family Football Stadium", "Reed Arena", "Reser Stadium", "Carlson Center", "The Orbit Room", "The Joint", "Tatran Handball Arena", "Ethias Arena", "Stade Auguste Bonal", "Sparkassen-Erzgebirgsstadion", "Nationwide Arena", "Roy Wilkins Auditorium", "Warner Theatre", "Verizon Wireless Arena", "Estadio Cubierto Newell's Old Boys", "Bojangles' Coliseum", "Michigan Stadium", "Perth Oval", "Yankee Stadium", "Cameron Indoor Stadium", "Maui Arts & Cultural Center", "ShoWare Center", "Városi Sportcsarnok", "Sullivan Arena", "Halifax Metro Centre", "Apollo Victoria Theatre", "Chicago Stadium", "Millennium Stadium", "Hillsborough Stadium", "Curry Hicks Cage", "Municipal Auditorium", "Hard Rock Hotel and Casino", "Old Trafford Cricket Ground", "Mackay Stadium", "Celebrity Theatre", "Joe Louis Arena", "Scotiabank Saddledome", "Rice-Eccles Stadium", "Pabellón Polideportivo Artaleku", "CFSB Center", "Shoreline Amphitheatre", "Prospera Place", "Morrison Center", "Independence Stadium", "Stadio San Paolo", "War Memorial Auditorium", "Lakewood Church Central Campus", "Dodger Stadium", "Volkswagen Arena", "Heartland Events Center", "Camp Randall Stadium", "Denver Coliseum", "Congress Theatre", "Sleuyter Arena", "Sleep Train Pavilion", "Ajinomoto Stadium", "National Theatre", "William \"Dick\" Price Stadium", "Ford Field", "Alpine Valley Music Theatre", "Tannadice Park", "Memorial Stadium, Clemson", "Stranahan Theater", "Roundhouse", "Broome County Veterans Memorial Arena", "Edward Jones Dome", "Packard Stadium", "Palace Theatre, Manchester", "Charleston Civic Center", "Tate Rink", "Aggie Stadium", "Clyde Auditorium", "Popejoy Hall", "XL Center", "Riverbend Music Center", "Akoo Theatre at Rosemont", "Maverik Center", "American Music Theatre", "Uptown Theatre", "Massey Hall", "Cypress Mountain Ski Area", "Canad Inns Stadium", "Roberts Municipal Stadium", "Stamford Bridge", "Lansdowne Road", "Kampa-Halle", "Grand Ole Opry", "Shakespeare's Globe", "Tad Smith Coliseum", "Echo Arena Liverpool", "General Motors Centre", "Dvorana Mirza Delibašić", "Beijing National Aquatics Center", "Eden Gardens", "Utica Memorial Auditorium", "Palace Theatre", "Orpheum Theatre", "Benteler Arena", "Stadium Australia", "Tyson Events Center", "Vector Arena", "Tropicana Field", "Arrowhead Stadium", "FedExForum", "RiverCenter for the Performing Arts", "Sports Authority Field at Mile High", "McKenzie Arena", "Cliffs Pavilion", "U.S. Cellular Coliseum", "BMO Harris Bank Center", "Fox Theater", "Jim Patterson Stadium", "Capitol Theatre", "Hi Corbett Field", "Donau Arena", "Lane Stadium", "Mestalla Stadium", "Jalan Besar Stadium", "Stade du Hameau", "Royal Festival Hall", "Saoud bin Abdulrahman Stadium", "Sleep Train Arena", "Stroh Center", "Calihan Hall", "Faliro Coastal Zone Olympic Complex", "Holt Arena", "William D. Mullins Memorial Center", "Mitsubishi Electric Halle", "Pavilion Theatre", "Cotton Bowl", "Skelly Field at H. A. Chapman Stadium", "Brandt Centre", "RCA Dome", "Columbiahalle", "Sonny Lubick Field at Hughes Stadium", "Los Angeles Theatre", "Chaifetz Arena", "Marin County Civic Center", "Bryce Jordan Center", "Reitz Arena", "Bartow Arena", "Strahan Coliseum", "Lone Star Amphitheater", "The Bell Auditorium", "AWD Hall", "CenturyLink Field", "Sleeman Centre", "Concertgebouw, Amsterdam", "Toyota Stadium", "Long Beach Convention and Entertainment Center", "Swedbank Stadion", "New Amsterdam Theatre", "Whistler Olympic Park", "Sheikh Khalifa International Stadium", "Intrust Bank Arena", "Stade de la Mosson", "Stadium Municipal", "Tynecastle Stadium", "Gallagher-Iba Arena", "Ninian Park", "Cajundome", "Rod Laver Arena", "Jorgensen Center for the Performing Arts", "Stade Marcel Picot", "Morris Performing Arts Center", "Olympia Bruno Coquatrix", "Apollo Theater", "AT&T Center", "Lanxess Arena", "US Airways Center", "Hartwall Areena", "Theodoros Kolokotronis Stadium", "GCS Ballpark", "Xcel Energy Center", "Deva Stadium", "Event Center Arena", "Bryant–Denny Stadium", "Velodrom", "Apollo Theater", "Estadio Marcelo Bielsa", "Johnny Unitas Stadium", "Tampereen jäähalli", "North Charleston Coliseum", "Churchill Downs", "Deltaplex Arena & Conference Center", "Vancouver Convention Centre", "Radio City Music Hall", "The Florida Citrus Bowl Stadium", "Allen Fieldhouse", "Charles E. Smith Athletic Center", "Ladd Peebles Stadium", "Her Majesty's Theatre, Melbourne", "Bronco Stadium", "Forrest Theatre", "Romney Stadium", "UNI-Dome", "Royal Melbourne Showgrounds", "Rugby Park", "König Pilsener Arena", "Carnie Smith Stadium", "Honda Center", "Value City Arena at the Jerome Schottenstein Center", "Joseph P. Riley, Jr. Park", "Ice Palace \"Ural Lightning\"", "Minneapolis Convention Center", "KSU Convocation Center", "Meadow Park", "Four Seasons Centre for the Performing Arts", "Duluth Entertainment Convention Center", "American Bank Center", "Consol Energy Center", "Gershwin Theatre", "Teatro Colón, Buenos Aires", "Proctors", "Red Rock Resort Spa and Casino", "Wells Fargo Arena", "Kezar Stadium", "Scotiabank Place", "Suncorp Stadium", "Independence Events Center", "Memorial Stadium", "DakotaDome", "Estádio do Pacaembu", "Swayze Field", "Sanford Center", "River Center Arena", "Legion Field", "Braehead Arena", "CenturyLink Center Omaha", "Qemal Stafa Stadium", "Estadio Racing Club", "Thunder Bay Community Auditorium", "Surprise Stadium", "Coors Events Center", "Autzen Stadium", "Carver–Hawkeye Arena", "The Den", "Fox Theatre", "Saban Theatre", "Portsmouth Guildhall", "Bob Carpenter Center", "New Theatre Oxford", "Barabati Stadium", "Verizon Theatre at Grand Prairie", "Miami Orange Bowl", "Stan Sheriff Center", "Fisher Field", "Stadion Oberwerth", "Nationals Park", "Grugahalle", "Haas Pavilion", "Sears Centre Arena", "Colonial Life Arena", "Paramount Theatre", "BayArena", "New World Stages", "Palais Garnier", "Gayfield Park", "The Home Depot Center", "Campo de Fútbol de Vallecas", "Sydney Opera House", "Dowdy–Ficklen Stadium", "Vanderbilt Stadium", "Rhodes Stadium", "Asim Ferhatović Hase Stadium", "Ferrell Center", "AFAS Stadion", "Wortham Theater Center", "John Paul Jones Arena", "Wolstein Center", "Clark–LeClair Stadium", "Palladium Ballroom", "Regent Theatre", "Wicomico Youth and Civic Center", "Lakefront Arena", "Worthington Arena", "Montgomery Performing Arts Centre", "FC Dallas Stadium", "Turner Field", "Aberystwyth Arts Centre", "PNC Bank Arts Center", "Raymond James Stadium", "Jeld-Wen Field", "Wings Stadium", "Crisler Center", "Frost Arena", "Memorial Stadium", "Estádio do Maracanã", "Tad Gormley Stadium", "MTS Centre", "Hancock Stadium", "Sun Devil Stadium", "Elispace", "Osaka Dome", "Barclays Center", "Mercedes-Benz Superdome", "Racquet Club of Memphis", "Wales Millennium Centre", "Centennial Stadium", "BC Place", "Point Theatre", "Louise M. Davies Symphony Hall", "WesBanco Arena", "O2 Academy Glasgow", "Teatro di San Carlo, Naples", "HMV Forum", "Donald L. Tucker Center", "WVU Coliseum", "City of Manchester Stadium", "EnergyAustralia Stadium", "Grand Olympic Auditorium", "Rogers Arena", "Gaillard Municipal Auditorium", "Pensacola Civic Center", "Adriatic Arena", "The O2", "Comerica Theatre", "Estadio Benito Villamarín", "Palais Theatre", "Orpheum", "Frederiksberghallen", "Elliott Hall of Music", "Allen Event Center", "Hobby Center for the Performing Arts", "Ewood Park", "Compuware Arena", "Liberty Bowl Memorial Stadium", "Littlejohn Coliseum", "Allianz Stadium", "James A. Rhodes Arena", "Three Rivers Stadium", "Hinkle Fieldhouse", "Mosaic Stadium at Taylor Field", "Comanche County Fairgrounds", "Sydney Cricket Ground", "Paul Brown Stadium", "Luis Conde Arena", "Zénith d'Orléans", "Estadi Ciutat de València", "LP Field", "AWD-Arena", "Amway Center", "Washington Avenue Armory", "Eastman Theatre", "Moody Coliseum", "Javelina Stadium", "Spreckels Theater", "Bramall Lane", "Türk Telekom Arena", "Town Toyota Center", "Rimrock Auto Arena at MetraPark", "The Time Warner Cable Arena", "Palais des Sports", "Kemper Arena", "Stanford Stadium", "Subiaco Oval", "London Astoria", "Tilles Center for the Performing Arts", "Al-Hamadaniah Stadium", "McArthur Court", "Tuacahn", "Motorpoint Arena Cardiff", "Bushnell Center for the Performing Arts", "Rentschler Field", "Sydney Entertainment Centre", "Kyle Field", "Estadio De Béisbol Héctor Espino", "Von Braun Center", "Le Grand Rex", "Southampton Guildhall", "Cameron Stadium", "Citi Performing Arts Center", "Nutter Center", "Silverdome", "Richmond Olympic Oval", "Cow Palace", "Fillmore Auditorium", "Marlins Park", "Nashville Municipal Auditorium", "Cleveland Stadium", "Toyota Park", "Lake Elsinore Diamond", "Savoy Cinema", "Dale F. Halton Arena", "Sadler's Wells Theatre", "Ralph Engelstad Arena", "St David's Hall", "Ivor Wynne Stadium", "Dow Event Center", "Pete Maravich Assembly Center", "Theatre Royal, Glasgow", "Al Hirschfeld Theatre", "Viejas Arena", "USF Sun Dome", "Memorial Stadium", "Winter Garden Theatre", "Doak Field", "U.S. Cellular Field", "Kinnick Stadium", "Shea's Performing Arts Center", "Charline McCombs Empire Theatre", "Westfalenstadion", "Víctor Jara Stadium", "Stadio Giovanni Zini", "FAU Stadium", "Commonwealth Stadium", "Mountaineer Field at Milan Puskar Stadium", "Van Andel Arena", "Beaver Stadium", "Nikon at Jones Beach Theater", "Tokyo Dome", "Stade de Gerland", "Hagan Arena", "Show Me Center", "Faurot Field", "University of Dayton Arena", "Coronado Performing Arts Center", "St Andrew's", "Richard E. Berry Educational Support Center", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Ericsson Globe", "Winthrop Coliseum", "Preußenstadion", "Avery Fisher Hall", "Camelback Ranch", "Salt Lake Stadium", "Cowtown Coliseum", "Papa John's Cardinal Stadium", "Maverick Baseball Stadium", "Anhalt Arena", "McDiarmid Park", "National Arts Centre, Ottawa", "Liberty Stadium", "Cardiff Arena", "Shrine Auditorium", "İzmir Atatürk Stadium", "Niaz Stadium", "Rhein-Neckar Arena", "Colston Hall", "Chrysler Hall", "Pauley Pavilion", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Laredo Energy Arena", "PalaLottomatica", "Cheltenham Racecourse", "Teatro dell'Opera di Roma", "Millerntor-Stadion", "Auditorium-Orchestre National de Lyon", "Foxboro Stadium", "Gillette Stadium", "BB&T Field", "Swedbank Park", "Allstate Arena", "Robina Stadium", "Hampden Park", "Kombank Arena", "Croke Park", "Verizon Arena", "Soccer City", "State Farm Center", "Sudbury Community Arena", "BancorpSouth Arena", "Green Point Stadium", "Love Street", "Buck Shaw Stadium", "Uptown Theater", "Gill Coliseum", "Air Canada Centre", "Phoenix Symphony Hall", "Charles C. Hughes Stadium", "Resch Center", "Pioneer Center for the Performing Arts", "Lynah Rink", "Bellerive Oval", "First Arena", "Kohl Center", "Bord Gáis Energy Theatre", "Esplanade - Theatres on the Bay, Singapore", "Wang Theatre", "Liacouras Center", "Lyric Opera House", "Memorial Stadium, Lincoln", "Scott Stadium", "Miami Arena", "Maple Leaf Gardens", "PPL Park", "Veltins-Arena", "Roxy Theatre", "Coleman Coliseum", "Stadio Alberto Braglia", "Parc des Sports", "Daytona International Speedway", "Arena Theatre", "The Hawthorns", "Richmond Coliseum", "Symphony Hall", "Putra Indoor Stadium", "Stade Vélodrome", "Pride Park Stadium", "Sandia Resort and Casino", "Camille Chamoun Sports City Stadium", "Koning Willem II Stadion", "Nippon Budokan", "Spartan Stadium", "Plymouth Pavilions", "PNC Arena", "Craven Cottage", "Gigg Lane", "Neil Simon Theatre", "Alamodome", "Gold Coast Convention and Exhibition Centre", "Tiger Stadium", "Fox Theater Pomona", "Shanghai Stadium", "Easter Road", "Kidd Brewer Stadium", "Sam Boyd Stadium", "New Road, Worcester", "Melbourne Cricket Ground", "Dean Smith Center", "Norva Theatre", "HoHoKam Stadium", "Rose Bowl", "Olympic Stadium", "Oracle Arena", "MDCC-Arena", "Capitol Theatre, Sydney", "Estadio Nuevo José Zorrilla", "Thomas & Mack Center", "Madison Square Garden", "City National Grove of Anaheim", "El Sadar Stadium", "Knoxville Civic Auditorium and Coliseum", "Riverside Theater", "Nassau Veterans Memorial Coliseum", "Eisstadion Weißwasser", "Expo Square Pavilion", "Alumni Stadium", "Fargodome", "The Palace of Auburn Hills", "Bristol Hippodrome", "Nelson Mandela Bay Stadium", "Estadio de Béisbol Monterrey", "Estadio Tetelo Vargas", "Rupp Arena", "Palace Theatre", "Edinburgh Festival Theatre", "Estadio Fortunato Bonelli", "Enmore Theatre", "Arizona Stadium", "Bloomfield Road", "Luna Park, Buenos Aires", "Chavez Theatre", "Comédie-Française", "Aggie Stadium", "Kauffman Stadium", "The Gabba", "Wallace Wade Stadium", "Riverside Stadium", "Ford Center", "Spartak Stadium", "Hokkaido Prefectural Sports Center", "Palais Omnisports de Paris-Bercy", "Olympic Stadium Munich", "Anaheim Convention Center", "Estadio El Madrigal", "Marion Palace Theatre", "Moncton Coliseum", "Daniel–Meyer Coliseum", "Budweiser Gardens", "Texas Stadium", "Pantages Theatre", "John F. Kennedy Stadium", "Odyssey Arena", "Regent Theatre", "Twickenham Stadium", "King's Theatre, Glasgow", "Raleigh Convention Center", "National Indoor Arena", "Kauffman Center for the Performing Arts", "The Times Union Center", "Roanoke Civic Center", "Gachibowli Indoor Stadium", "Citi Field", "Birmingham Hippodrome", "MaxiparkArena", "Aviva Stadium", "The Arches", "Quicken Loans Arena", "Cape Town Stadium", "Soldier Field", "Allianz Arena", "Tampa Stadium", "Vicente Calderón Stadium", "Lipperlandhalle", "Mariucci Arena", "GelreDome", "E. A. Diddle Arena", "National Auditorium of Music", "Cedar Rapids Ice Arena", "The Helix", "Breslin Student Events Center", "Ordway Center for the Performing Arts", "Congress Theater", "Knapp Center", "Bridgeforth Stadium and Zane Showker Field", "Osceola County Stadium", "Benedum Center", "Alfond Arena", "Hyde Park Picture House, Leeds", "Esprit Arena", "Aloha Stadium", "Olympic Stadium", "Bahrain National Stadium", "Rialto Square Theatre", "Auditorium Parco della Musica", "Lawrence Joel Veterans Memorial Coliseum", "North Shore Music Theatre", "Harris Theater", "Stadthalle Hagen", "Teatro degli Arcimboldi", "Ottawa Convention Centre", "Palace Theatre", "Ahmanson Theatre", "Huish Park", "Loftus Versfeld Stadium", "Orpheum Theatre", "San Siro Stadium", "Ross–Ade Stadium", "UCF Arena", "Palacio Vistalegre", "Broward Center for the Performing Arts", "Chase Field", "The Bank of Kentucky Center", "Bank of America Stadium", "Molson Canadian Amphitheatre", "Robinson Center, Little Rock", "Falcon Stadium", "LDS Conference Center", "Wembley Stadium", "Jazz at Lincoln Center", "Stadio Artemio Franchi", "Stadio delle Alpi", "Zellerbach Hall", "Munn Ice Arena", "Saratoga Performing Arts Center", "Welsh-Ryan Arena", "Columbus Civic Center", "Best Buy Theater", "Bobby Dodd Stadium", "OlympiaWorld Innsbruck", "Agganis Arena", "Jordan–Hare Stadium", "Charlotte Coliseum", "Manchester Central Convention Complex", "Penydarren Park", "Busch Stadium", "Adelaide Oval", "Stockholm Olympic Stadium", "Nippert Stadium", "Ulster Performing Arts Center", "Majestic Theatre", "McKale Center", "Yale Bowl", "Belmore Sports Ground", "Cajun Field", "Redbird Arena", "Yost Ice Arena", "New York City Center", "Baum Stadium", "Festival Hall", "McMahon Stadium", "Majestic Theatre", "The Dome Leisure Centre", "Underhill Stadium", "Edinburgh Playhouse", "San Jose Center For The Performing Arts", "Stade du Moustoir", "Petco Park", "Arlington Stadium", "Auckland Civic Theatre", "Cumberland County Crown Coliseum", "Venue Cymru", "Peter Mokaba Stadium", "Hampton Convocation Center", "ENMAX Centre", "Queen Elizabeth Theatre", "Cícero Pompeu de Toledo Stadium", "Arlene Schnitzer Concert Hall, Portland", "Red Bull Arena", "Coliseum Alfonso Pérez", "Progressive Field", "Lawson Arena", "Theater des Westens", "Prudential Center", "Thompson–Boling Arena", "Victoria Hall, Hanley", "Tucson Convention Center", "Cobb Energy Performing Arts Centre", "Boston Opera House", "Ibrox Stadium", "Holy Name Cathedral, Chicago", "Nuremberg Arena", "The Pit", "Donbass Arena", "Eriksdalshallen", "Murrayfield Ice Rink", "W. L. Zorn Arena", "Jon M. Huntsman Center", "Rittal Arena Wetzlar", "ABB Arena Syd", "Bass Performance Hall", "Smith Center for the Performing Arts", "De Montfort Hall", "Råsunda Stadium", "Arsenal Stadium", "Foreman Field", "War Memorial Stadium", "Lyceum Theatre", "Stadio Ennio Tardini", "Hilton Coliseum", "Shea Stadium", "Cobo Center", "Schermerhorn Symphony Center", "Mediolanum Forum", "Giant Center", "Bridgewater Hall, Manchester", "Beethovenhalle", "Riviera Theatre", "Savannah Civic Center", "Bridgestone Arena", "Ted Constant Convocation Center", "Mile One Centre", "Norfolk Scope Arena", "O2 Academy Liverpool", "Jones AT&T Stadium", "Royal Agricultural Hall", "Princeton University Stadium", "Qualcomm Stadium", "Sun Life Stadium", "Olympic Stadium", "First Niagara Center", "The Music Hall", "Winspear Opera House, Dallas", "Fenway Park", "Kress Events Center", "Miller Park", "National Stadium, Bukit Jalil", "Metalist Oblast Sports Complex", "Zénith de Strasbourg", "EverBank Field", "Franklin Field", "Cricket Wireless Amphitheatre", "Adelphi Theatre", "National Concert Hall, Dublin", "Carrier Dome", "Wembley Stadium", "Verizon Wireless Amphitheatre", "Oakdale Theatre", "Embassy Theatre", "Atletion", "Usher Hall, Edinburgh", "Alerus Center", "Celtic Park", "Chacarita Juniors Stadium", "MassMutual Center", "TSB Bank Arena", "LaVell Edwards Stadium", "Reebok Stadium", "Lyric Theatre, Sydney", "Metro Radio Arena", "Toyota Center", "Paulson Stadium", "Peabody Auditorium", "Sovereign Center", "Polideportivo Islas Malvinas", "Memorial Gymnasium", "Manchester Arena", "Pauley Pavilion", "Nya Parken", "United Spirit Arena", "Peterborough Memorial Centre", "Husky Stadium", "Darrell K Royal–Texas Memorial Stadium", "Commonwealth Stadium", "Stadio Artemio Franchi – Montepaschi Arena", "Stadthalle Graz", "Orange County Convention Center", "INB Performing Arts Center", "Moses Mabhida Stadium", "National Auditorium", "Vienna State Opera", "Carrara Stadium", "Rice Stadium", "JQH Arena", "Alabama Theatre", "Anfield", "Estádio do Dragão", "Brown Stadium", "Summum", "Cox Convention Center", "Scandinavium", "Jay Pritzker Pavilion", "Dahlberg Arena", "Sioux Falls Arena", "Fox Theatre", "Estádio do Bessa", "Carnesecca Arena", "State Theatre", "Melbourne Multi Purpose Venue", "Thani bin Jassim Stadium", "Seminole Hard Rock Hotel and Casino Hollywood", "Philips Stadion", "Lander's Center", "Florence Civic Center", "AT&T Performing Arts Center", "Carter Barron Amphitheatre", "Whittemore Center", "Morton H. Meyerson Symphony Center, Dallas", "Rangers Ballpark in Arlington", "BB&T Center", "Bramlage Coliseum", "Lunt-Fontanne Theatre", "Tacoma Dome", "HK Arena", "Estadio Olímpico Andrés Quintana Roo", "Principal Park", "Saitama Super Arena", "Ben Hill Griffin Stadium", "Sports Ground, Woodbridge Road, Guildford", "The Valley", "O2 World", "Target Field", "Palau Sant Jordi", "Hearst Greek Theatre", "Stadion An der Alten Försterei", "Goggin Ice Arena", "Oslo Opera House", "Newcastle City Hall", "Aronoff Center", "TD Waterhouse Stadium", "Bobcat Stadium", "K-Rock Centre", "Braly Municipal Stadium", "Palais des congrès de Paris", "De Grolsch Veste", "Robins Center", "Comcast Center", "Los Angeles Memorial Sports Arena", "Mohegan Sun Arena at Casey Plaza", "Rialto Theatre", "Charles Koch Arena", "McCoy Stadium", "Busch Memorial Stadium", "WACA Ground", "Ponds Forge International Sports Centre", "Estádio da Luz", "Folsom Field", "Safeco Field", "Harvard Stadium", "Griffin Park", "Percival Molson Memorial Stadium", "Boleyn Ground", "Estadio Alberto J. Armando", "Gersten Pavilion", "Juventus Stadium", "Empire, Leicester Square", "Mayo Civic Center", "FIU Stadium", "BMO Harris Bradley Center", "Mid-America Center", "Golden Gate Theatre", "Peden Stadium", "Kibbie Dome", "California Memorial Stadium", "The Coronet", "Maples Pavilion", "Hammerstein Ballroom", "Fir Park", "Go Dau Stadium", "U.S. Cellular Arena", "Cam Henderson Center", "Stade Francis-Le Blé", "Falkirk Stadium", "San Francisco Airport Marriott Waterfront", "Olympia Ice Center", "Huntington Avenue Grounds", "East End Park", "UFCU Disch–Falk Field", "Hofheinz Pavilion", "Salvus-Stadion am Grevener Damm", "Matthews Arena", "The Centre In Vancouver for Performing Arts", "Regent Theatre, Melbourne", "Ashton Gate Stadium", "Cadillac Palace Theatre", "Le Transbordeur", "Sprint Center", "Challenge Stadium", "Boone Pickens Stadium", "BJK İnönü Stadium", "Rose Bowl", "Notre Dame Stadium", "The Louisville Palace", "Tokyo Dome City", "London Coliseum", "I Wireless Center", "Ullevi", "Goodman Stadium", "El Paso County Coliseum", "Britannia Stadium", "Birmingham–Jefferson Convention Complex", "Fratton Park", "Freedom Hall", "Lawlor Events Center", "Peoria Civic Center", "Davis Wade Stadium", "Futurist Theatre", "Cedar Park Center", "Pacific Coliseum", "Edgbaston Cricket Ground", "5th Avenue Theatre", "Hanns-Martin-Schleyer-Halle", "Waterfront Hall", "Great American Ball Park", "Tampa Bay Times Forum", "Don Haskins Center", "Methodist Central Hall Westminster", "Phoenix Municipal Stadium", "King Power Stadium", "BI-LO Center", "Fife Ice Arena", "Stanley Park Stadium", "Centennial Concert Hall, Winnipeg", "Jobing.com Arena", "Civic Arena", "Stadio Antonio Bianco", "Lincoln Financial Field", "Mizzou Arena", "Keller Auditorium", "Pan American Center", "Amman International Stadium", "Eastern Kentucky Expo Center", "Doug Mitchell Thunderbird Sports Centre", "Estádio Olímpico João Havelange", "Sleep Train Amphitheatre", "Harbour Station", "Thebarton Theatre", "Chicago Theatre", "Kitchener Memorial Auditorium Complex", "Kölner Philharmonie", "Astana Arena", "Ricoh Coliseum", "Patriot Center", "Bud Walton Arena", "Tennessee Theatre", "Comerica Park", "Kimmel Arena", "Palaran Stadium", "Eintracht-Stadion", "Cintas Center", "New Jersey Performing Arts Center", "Vikings Stadium", "Martin Stadium", "Amsterdam Arena", "La Romareda", "Amon G. Carter Stadium", "Frank Erwin Center", "Palladium Theater", "KFC Yum! Center", "Veterans Memorial Coliseum", "Estadio Julio Humberto Grondona", "Perth Arena", "KC Stadium", "Ellis Park Stadium", "Barrie Molson Centre", "Kelly/Shorts Stadium", "Save Mart Center", "Crystal Palace National Sports Centre", "Georgia Dome", "North Harbour Stadium", "O'Connell Center", "Salem Civic Center", "Miami Beach Convention Center", "BMO Field", "Harry A. Gampel Pavilion", "MGM Grand Garden Arena", "Hofburg Palace", "The Shay", "Motorpoint Arena Sheffield", "Oslo Spektrum", "Wrigley Field", "Susquehanna Bank Center", "Yakima SunDome", "Taft Theatre", "Glasgow Royal Concert Hall", "ARCO Arena I", "Cruzan Amphitheatre", "Credicard Hall", "Verizon Center", "Western Springs Stadium", "Webster Bank Arena", "The Whiting", "Manchester Central Convention Complex", "The Sage Gateshead", "Wolverhampton Civic Hall", "World Arena, Colorado Springs", "Ricoh Arena", "Weserstadion", "Lambeau Field", "Canberra Stadium", "Medicine Hat Arena", "Chiles Center", "Beijing National Stadium", "Princess of Wales Theatre", "Emens Auditorium, Ball State University", "Angel Stadium of Anaheim", "Floyd Casey Stadium", "Estádio Vila Capanema", "Cambria County War Memorial Arena", "Teatro alla Scala", "O2 World", "Stuart C. Siegel Center", "Rexall Centre", "Adler Theatre", "National Hockey Stadium", "Creighton Orpheum Theater", "Jack Trice Stadium", "Reynolds Coliseum", "Calvin Gilmore Theater", "FedExField", "Frankfurter Volksbank Stadion", "Abe Lenstra Stadion", "Twickenham Stoop", "Sawyer Center", "Washington–Grizzly Stadium", "Marriott Center", "Nelson W. Wolff Municipal Stadium", "Stadion im. Tadeusza Ślusarskiego", "Old National Centre", "Olsen Field at Blue Bell Park", "Copps Coliseum", "Coors Field", "Michie Stadium", "Gerald J. Ford Stadium", "Reliant Stadium", "Brighton Centre", "Ralph Wilson Stadium", "Majestic Theater", "Spartan Stadium", "Androscoggin Bank Colisée", "Lucas Oil Stadium", "Estadio Nuevo Los Cármenes", "St. Augustine Amphitheatre", "University of Phoenix Stadium", "The Oval", "Marina Civic Center", "Wembley Arena", "Riverfront Stadium", "M&T Bank Stadium", "Toyota Center", "Heinz Field", "Cole Field House", "Krannert Center for the Performing Arts", "EnergySolutions Arena", "The Concert Hall in Aarhus", "Viaero Event Center", "Stadio Olimpico", "Vaught–Hemingway Stadium", "Smart Araneta Coliseum", "Citizens Business Bank Arena", "Paul E. Tsongas Center at UMass Lowell", "University at Buffalo Stadium", "Ferguson Center for the Arts", "Sanford Stadium", "Citizens Bank Park", "Glens Falls Civic Center", "Hollywood Bowl", "TCF Bank Stadium", "Victoria Palace Theatre", "Headingley Stadium", "Five Flags Center", "Jiffy Lube Live", "Cannon Center-Performing Arts", "Royal Bafokeng Stadium", "Wellmont Theatre", "Estadio Riazor", "TD Bank Garden", "Mississippi Coliseum", "Kingfield Stadium", "The Muny", "Tiger Stadium", "Owensboro Sports Center", "Majestic Theatre", "Los Angeles Memorial Coliseum", "Oriole Park at Camden Yards", "Stadion der Freundschaft", "Liberty Bank Stadium", "Blue Cross Arena", "Mackey Arena", "York Park", "Town Hall", "Abbotsford Entertainment & Sports Centre", "Estadio Monumental Antonio Vespucio Liberti", "Victoria Theatre", "Save-On-Foods Memorial Centre", "Spiroudome", "National Ice Centre", "Stadio Renato Curi", "Hill Auditorium", "Alabama Theatre", "Symphony Hall, Birmingham", "London Palladium", "PNC Park", "Palace Theatre, Melbourne", "Detroit Opera House", "Dominion Theatre", "Yubileyny Sports Palace", "St. James Theatre, Wellington", "Jacksonville Veterans Memorial Arena", "Estadio Ciudad de La Plata", "Red Rocks Amphitheatre", "FirstEnergy Stadium", "Conexus Arts Centre", "Stade Sébastien Charléty", "Metropolitan Opera House", "Landmark Theatre", "Yankee Stadium", "Reno Events Center", "Orpheum Theatre", "Glücksgas Stadium", "Yokohama Arena", "Bright House Networks Stadium", "The Fillmore Detroit", "Ikast-Brande Arena", "Villa Park", "Agora Theatre and Ballroom", "Mohegan Sun Arena", "UNF Arena", "Kenan Memorial Stadium", "Kingsmeadow", "Mahalia Jackson Theater of the Performing Arts", "Western Hall", "Vines Center", "Scottrade Center", "White Hart Lane", "Durham County Stadium", "Teatro Real, Madrid", "Ryan Field", "Thomas Wolfe Auditorium", "Alex G. Spanos Center", "Ed Mirvish Theatre", "Wiener Musikverein", "Miller Outdoor Theatre", "Capitol Theatre", "Kiel Auditorium", "Pitt Stadium", "O2 Arena", "Brisbane Entertainment Centre", "Consol Energy Center", "Carter–Finley Stadium", "Balaídos", "Westpac Stadium", "The Elgin Theatre", "Benjamin and Marian Schuster Performing Arts Center", "Cowboys Stadium", "Selhurst Park", "Byrd Stadium", "Ussishkin", "State Theatre", "Kitchener Memorial Auditorium", "Rose Garden", "Lord's Cricket Ground", "Minute Maid Park", "Pavilion Theatre", "Anoeta Stadium", "Pittodrie Stadium", "Madejski Stadium", "Goodison Park", "Sunderland Empire Theatre", "London Velopark", "CenturyLink Center", "Pennsylvania Convention Center", "Beacon Theatre, New York", "Mosaic Place", "Gerry Weber Stadion", "AT&T Park", "Credit Union Centre", "Tonhalle", "Orpheum Theatre", "Austin Convention Center", "Centre In The Square", "E Werk", "Star Plaza Theatre", "Rexall Place", "Estadio José María Bértora", "Volleyball Sportiv Complex", "Arena at Gwinnett Center", "Auditorio Telmex", "Hill 16", "War Memorial Stadium", "Tulane Stadium", "Salle Wilfrid-Pelletier, Montreal", "Manchester Opera House", "National Aquatic Centre", "Spokane Veterans Memorial Arena", "Fatorda Stadium", "Neyland Stadium", "Coface Arena", "Bethel Woods Center for the Arts", "Lotto Arena", "St James' Park", "Hult Center for the Performing Arts", "Allen County War Memorial Coliseum", "United Center", "HR Commitment Arena", "Hershey Centre", "Foro Sol", "Scheels Arena", "American Airlines Center", "Brooklyn Academy of Music", "Robertson Stadium", "Sony Centre for the Performing Arts", "Dorton Arena", "The Lighthouse", "High Point Solutions Stadium", "Veterans Memorial Auditorium", "Stechert Arena", "The Centre", "Taco Bell Arena", "Andrew Jackson Hall", "Grand Theatre, Leeds", "New Orleans Arena", "Huntington Center", "Izod Center", "Covelli Centre", "The Pavilion", "Mage Solar Stadion", "Grand Lake Theater", "Pershing Center", "Gigantium", "SIU Arena", "Giants Stadium", "Rio Tinto Stadium", "Beijing National Aquatics Center", "Molineux Stadium", "Stade de la Route de Lorient", "Stadio Olimpico di Torino", "Stadio Renato Dall'Ara", "Wankhede Stadium", "Staples Center", "Emirates Stadium", "Pharr International Convention Center", "Boardwalk Hall", "Hanover Theatre for the Performing Arts", "Royal Theatre Carré", "The Forum", "Williams-Brice Stadium", "Estadio Ciudad de Santiago del Estero", "Bondi Beach", "State Theatre", "Gaiety Theatre, Dublin", "Gaylord Family Oklahoma Memorial Stadium", "Gatorade Garden City Complex", "Suheim Bin Hamad Stadium", "DCU Center", "Doak Campbell Stadium", "Admiralspalast", "Foxwoods Theatre", "Ohio Stadium", "Theatre Royal, Drury Lane", "Canton Memorial Civic Center", "Estadio Universitario", "Peace and Friendship Stadium", "Tulalip Resort Casino", "Greensboro Coliseum Complex", "Singapore Indoor Stadium", "Indiana University Auditorium", "Bowers Stadium", "Eden Park", "Allphones Arena", "Durham Performing Arts Center", "Ottawa Civic Centre", "Stade de France", "Alexandra Palace", "Assembly Hall", "Dolby Theatre", "Perth Concert Hall", "East Fremantle Oval", "Dee Events Center", "Camp Nou", "Estadio José Jorge Conte", "Şükrü Saracoğlu Stadium", "Stockton Arena", "Big Sandy Superstore Arena", "Football Park", "Estadi Olímpic Lluís Companys", "Community Arts Center", "American Airlines Arena", "Chesapeake Energy Arena", "EWE Arena", "Imperial Theatre", "Firhill Stadium", "Budweiser Events Center", "Dunkin' Donuts Center", "Cumberland County Civic Center", "Convocation Center", "Magness Arena", "Achilles Rink", "Estadio Azteca", "Winnipeg Arena", "Bankers Life Fieldhouse", "Rec Hall", "Vancouver Forum", "Alamo Stadium", "Sullivan Athletic Center", "Memorial Stadium", "Edmund P. Joyce Center", "San Diego Civic Theatre", "Zenith Arena", "Wiener Stadthalle Hall D", "Hubert H. Humphrey Metrodome", "Sun National Bank Center", "Conte Forum", "Bob Devaney Sports Center", "Wells Fargo Arena" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000400, "question": "what venues have a seating capacity of at least 1417?", "answer": [ "O2 World", "Birmingham–Jefferson Convention Complex", "HP Pavilion at San Jose", "Enmore Theatre", "Cedar Park Center", "RCA Dome", "I Wireless Center", "Joseph P. Riley, Jr. Park", "Pacific Coliseum", "Surprise Stadium", "Fox Theatre", "The Louisville Palace", "Spartan Stadium", "Grand Lake Theater", "Estadio Tetelo Vargas", "Peoria Civic Center", "Toyota Stadium", "Theodoros Kolokotronis Stadium", "Pennsylvania Convention Center", "Baum Stadium", "Crystal Palace National Sports Centre", "Nippon Budokan", "Putra Indoor Stadium", "Peabody Opera House", "Dolby Theatre", "Budweiser Gardens", "Carter Barron Amphitheatre", "El Sadar Stadium", "King Power Stadium", "Scandinavium", "Sudbury Community Arena", "Phoenix Symphony Hall", "Kauffman Center for the Performing Arts", "Mackay Stadium", "Quicken Loans Arena", "HoHoKam Stadium", "Weserstadion", "Stadion im. Tadeusza Ślusarskiego", "Griffin Park", "Centre In The Square", "Goodman Stadium", "Portsmouth Guildhall", "Southampton Guildhall", "Air Canada Centre", "Cadillac Palace Theatre", "Independence Events Center", "Wiener Stadthalle Hall D", "Bob Devaney Sports Center", "DTE Energy Music Theatre", "Wellmont Theatre", "Ben Hill Griffin Stadium", "Cruzan Amphitheatre", "Braehead Arena", "Paulson Stadium", "American Airlines Arena", "Lipperlandhalle", "McDiarmid Park", "Allianz Arena", "Fox Theatre", "Sawyer Center", "Liberty Bowl Memorial Stadium", "Intrust Bank Arena", "Volkswagen Arena", "Broome County Veterans Memorial Arena", "Commerzbank-Arena", "Theater des Westens", "Susquehanna Bank Center", "Eintracht-Stadion", "Yankee Stadium", "Peterborough Memorial Centre", "Majestic Theatre", "TD Bank Garden", "Count Basie Theatre", "EWE Arena", "Hammerstein Ballroom", "Motorpoint Arena Cardiff", "Motorpoint Arena Sheffield", "Wells Fargo Center", "Town Hall", "Denver Coliseum", "American Music Theatre", "Mitsubishi Electric Halle", "Fatorda Stadium", "Mizzou Arena", "Washington–Grizzly Stadium", "Nutter Center", "Sioux Falls Arena", "Packard Stadium", "UCF Arena", "Ferguson Center for the Arts", "Cumberland County Crown Coliseum", "Canton Memorial Civic Center", "Congress Theatre", "Petco Park", "E. A. Diddle Arena", "Lunt-Fontanne Theatre", "Tad Gormley Stadium", "O2 Arena", "Bob Carpenter Center", "Stadio Artemio Franchi", "Red Bull Arena", "Uptown Theatre", "Marina Bay Sands", "Jobing.com Arena", "Lander's Center", "Frank Erwin Center", "Miami Beach Convention Center", "Sheikh Khalifa International Stadium", "Rhodes Stadium", "Strahan Coliseum", "Ralph Engelstad Arena", "Paramount Theatre", "Red Star Stadium", "Prudential Center", "Pittodrie Stadium", "JQH Arena", "Eastman Theatre", "Arena Nova", "The Lowry", "St Andrew's", "Tiger Stadium", "Charles C. Hughes Stadium", "John F. Kennedy Stadium", "Rod Laver Arena", "Gill Coliseum", "Mage Solar Stadion", "Arsenal Stadium", "National Arts Centre, Ottawa", "Edmund P. Joyce Center", "Miami Arena", "Vines Center", "Orpheum Theatre", "TSB Bank Arena", "Cox Convention Center", "Waldo Stadium", "Festival Hall", "The Centre In Vancouver for Performing Arts", "Scott Stadium", "Paul E. Tsongas Center at UMass Lowell", "CenturyLink Center", "Tuacahn", "Zenith Arena", "Oslo Opera House", "Harvard Stadium", "Comédie-Française", "Ordway Center for the Performing Arts", "East Fremantle Oval", "Twickenham Stadium", "Reitz Arena", "Sears Centre Arena", "Cypress Mountain Ski Area", "Memorial Stadium, Lincoln", "Mohegan Sun Arena", "Littlejohn Coliseum", "Popejoy Hall", "Veterans Memorial Coliseum", "Lawson Arena", "City National Grove of Anaheim", "Anoeta Stadium", "PalaLottomatica", "Skelly Field at H. A. Chapman Stadium", "Perth Concert Hall", "Theatre Royal, Drury Lane", "Fisher Field", "Town Toyota Center", "Commonwealth Stadium", "Columbus Civic Center", "Ems-Hölle", "Jeld-Wen Field", "Odyssey Arena", "John E. Worthen Arena", "PNC Park", "Estadio Olímpico Andrés Quintana Roo", "National Theatre", "Savoy Cinema", "Estadio Universitario", "Soldier Field", "Radio City Music Hall", "Esprit Arena", "Estadio Ciudad de La Plata", "Carnesecca Arena", "Tynecastle Stadium", "Nikon at Jones Beach Theater", "Bojangles' Coliseum", "Ryan Field", "Holy Name Cathedral, Chicago", "Savannah Civic Center", "Dahlberg Arena", "Wembley Stadium", "Adelphi Theatre", "Shakespeare's Globe", "Dodger Stadium", "Bell Centre", "Royal Melbourne Showgrounds", "Kitchener Memorial Auditorium", "Pauley Pavilion", "Five Flags Center", "Adler Theatre", "North Shore Music Theatre", "Sony Centre for the Performing Arts", "Oakland-Alameda County Coliseum", "Olympic Stadium", "Salt Lake Stadium", "Duluth Entertainment Convention Center", "Municipal Auditorium", "Calihan Hall", "Lyceum Theatre", "Jorgensen Center for the Performing Arts", "Marin County Civic Center", "Roxy Theatre", "Mediolanum Forum", "Red Rock Resort Spa and Casino", "Frankfurter Volksbank Stadion", "Kezar Stadium", "Stade Sébastien Charléty", "Stroh Center", "Aloha Stadium", "Gibson Amphitheatre", "Salt River Fields at Talking Stick", "Edinburgh Playhouse", "Kombank Arena", "Achilles Rink", "Comerica Theatre", "Love Street", "Víctor Jara Stadium", "Ericsson Globe", "Michie Stadium", "New Orleans Arena", "BB&T Center", "Newcastle Entertainment Centre", "Yost Ice Arena", "1st Mariner Arena", "Grugahalle", "The Home Depot Center", "The Den", "Cassell Coliseum", "Capitol Theatre", "Lone Star Amphitheater", "Indiana University Auditorium", "Kölner Philharmonie", "Toyota Park", "Abbotsford Entertainment & Sports Centre", "Firhill Stadium", "Madejski Stadium", "The Helix", "Marquis Theatre", "Ahmanson Theatre", "Cajun Field", "Neil Simon Theatre", "Estádio da Luz", "Pensacola Civic Center", "National Hockey Stadium", "Veltins-Arena", "Norfolk Scope Arena", "Halifax Metro Centre", "Jiffy Lube Live", "Grand Theatre, Leeds", "Admiralspalast", "Estádio do Bessa", "Mountaineer Field at Milan Puskar Stadium", "Lambeau Field", "The Hawthorns", "Estadio Ciudad de Santiago del Estero", "Morrison Center", "Teatro Real, Madrid", "Sanford Center", "Gigg Lane", "Pabellón Polideportivo Artaleku", "Viejas Arena", "Estadio Azteca", "The Music Hall", "London Velopark", "Jacksonville Veterans Memorial Arena", "Winspear Opera House, Dallas", "Gachibowli Indoor Stadium", "Estadio Julio Humberto Grondona", "Philips Stadion", "Grand Ole Opry", "Palais Omnisports de Paris-Bercy", "Olympic Stadium", "Football Park", "Winnipeg Arena", "Auburn Arena", "Swedbank Stadion", "Sun National Bank Center", "AWD-Arena", "General Motors Centre", "Alamodome", "Manchester Opera House", "Busch Stadium", "London Palladium", "BMO Harris Bank Center", "Moncton Coliseum", "Comerica Park", "Cheltenham Racecourse", "KSU Convocation Center", "Brighton Centre", "Usher Hall, Edinburgh", "Tucson Convention Center", "Riverside Stadium", "Royal Agricultural Hall", "Owensboro Sports Center", "Iberostar Stadium", "Methodist Central Hall Westminster", "Princeton University Stadium", "Vaught–Hemingway Stadium", "Fillmore Auditorium", "Scottrade Center", "BB&T Field", "Somerset Park", "Philips Arena", "Foxwoods Theatre", "Camille Chamoun Sports City Stadium", "MTS Centre", "O2 Academy Liverpool", "Copps Coliseum", "The Whiting", "Mississippi Coliseum", "Bankers Life Fieldhouse", "Coface Arena", "Suncorp Stadium", "Miami Orange Bowl", "Xcel Energy Center", "W. L. Zorn Arena", "La Romareda", "Budweiser Events Center", "Charlotte Coliseum", "James A. Rhodes Arena", "Cícero Pompeu de Toledo Stadium", "Estádio José Alvalade", "San Siro Stadium", "Palace Theatre", "Easter Road", "Montgomery Performing Arts Centre", "Seminole Hard Rock Hotel and Casino Hollywood", "Orleans Arena", "Stuart C. Siegel Center", "Wales Millennium Centre", "Beijing National Stadium", "London Coliseum", "Busch Memorial Stadium", "Maples Pavilion", "Raleigh Convention Center", "Alpine Valley Music Theatre", "Suheim Bin Hamad Stadium", "Harry A. Gampel Pavilion", "Cheney Stadium", "Oracle Arena", "The Gabba", "Chavez Theatre", "Big Sandy Superstore Arena", "Kohl Center", "Allen Event Center", "Benjamin and Marian Schuster Performing Arts Center", "Estadio de Béisbol Monterrey", "Camelback Ranch", "Tampereen jäähalli", "Stade de la Mosson", "Stadion der Freundschaft", "Memorial Stadium", "Beaver Stadium", "Gayfield Park", "Western Springs Stadium", "Stadium of Light", "Moody Coliseum", "Alex Box Stadium/Skip Bertman Field", "Ralph Engelstad Arena", "Meadow Park", "Sacramento Convention Center Complex", "The Bank of Kentucky Center", "Pauley Pavilion", "Allen County War Memorial Coliseum", "Cotton Bowl", "Rhein-Neckar Arena", "Stade de Gerland", "ENMAX Centre", "Olympia Bruno Coquatrix", "Zénith d'Orléans", "Wolstein Center", "Alerus Center", "Kitchener Memorial Auditorium Complex", "Millerntor-Stadion", "Alabama Theatre", "London Astoria", "Ralph Wilson Stadium", "Orange County Convention Center", "Pride Park Stadium", "Stadium Municipal", "Hofburg Palace", "Symphony Hall, Birmingham", "Echo Arena Liverpool", "Plymouth Pavilions", "Anaheim Convention Center", "Vanderbilt Stadium", "Estadio José Jorge Conte", "Hilton Coliseum", "St James' Park", "Stabler Arena", "Ladd Peebles Stadium", "Thebarton Theatre", "Pioneer Center for the Performing Arts", "Anfield", "Carlson Center", "University of Dayton Arena", "Pharr International Convention Center", "The Forum", "Estadio Riazor", "Keller Auditorium", "Yubileyny Sports Palace", "Bud Walton Arena", "River Center Arena", "Coleman Coliseum", "Convocation Center", "Osaka Dome", "Vienna State Opera", "Spartak Stadium", "Emirates Stadium", "Ibrox Stadium", "Morton H. Meyerson Symphony Center, Dallas", "Flens-Arena", "Sun Bowl Stadium", "U.S. Cellular Field", "Eisarena Salzburg", "Foro Sol", "Opéra Bastille", "Andrew Jackson Hall", "Citizens Business Bank Arena", "Westfalenstadion", "Liverpool Empire Theatre", "Maverik Center", "Stockholm Olympic Stadium", "Davis Wade Stadium", "Durham Performing Arts Center", "BayArena", "Majestic Theatre", "Parc des Sports", "Kampa-Halle", "Charles Koch Arena", "Donbass Arena", "Dow Event Center", "Mackey Arena", "Tyson Events Center", "Olympic Stadium Munich", "Warner Theatre", "The Egg", "Aronoff Center", "Hershey Centre", "Arena at Gwinnett Center", "Pete Maravich Assembly Center", "KFC Yum! Center", "Symphony Hall", "Concertgebouw, Amsterdam", "Dale F. Halton Arena", "Jazz at Lincoln Center", "Bridgestone Arena", "Her Majesty's Theatre, Melbourne", "Gallagher-Iba Arena", "Landmark Theatre", "Imperial Theatre", "Atletion", "Singapore Indoor Stadium", "Barclays Center", "Cumberland County Civic Center", "Estadio Monumental Antonio Vespucio Liberti", "Sleeman Centre", "Jim Patterson Stadium", "UFCU Disch–Falk Field", "The Orbit Room", "Tonhalle", "Kyle Field", "United Spirit Arena", "Veterans Stadium", "Cliffs Pavilion", "Kingsmeadow", "Commonwealth Stadium", "Veterans Memorial Auditorium", "Oriole Park at Camden Yards", "Şükrü Saracoğlu Stadium", "Avery Fisher Hall", "M&T Bank Stadium", "Scotiabank Saddledome", "Medicine Hat Arena", "Mile High Stadium", "Manchester Central Convention Complex", "Amon G. Carter Stadium", "Stadio Antonio Bianco", "Prince Edward Theatre", "Moses Mabhida Stadium", "The Coronet", "Assembly Hall", "Wells Fargo Arena", "Rentschler Field", "Columbiahalle", "Teatro di San Carlo, Naples", "Roy Wilkins Auditorium", "Amsterdam Arena", "Akoo Theatre at Rosemont", "Rialto Theatre", "Mayo Civic Center", "Patriot Center", "Hillsborough Stadium", "Selhurst Park", "Orpheum", "The Pavilion", "Oslo Spektrum", "Don Haskins Center", "Giants Stadium", "Fox Theater Pomona", "Goggin Ice Arena", "Beethovenhalle", "Bridgewater Hall, Manchester", "Capitol Theatre", "Benedum Center", "Hancock Stadium", "Cowboys Stadium", "Abe Lenstra Stadion", "Heartland Events Center", "Winter Gardens, Blackpool", "Go Dau Stadium", "Heinz Field", "Riviera Theatre", "Hearst Greek Theatre", "Sanford Stadium", "U.S. Cellular Arena", "Huntington Center", "Donald W. Reynolds Razorback Stadium", "Sleuyter Arena", "Elland Road", "Estadio De Béisbol Héctor Espino", "Sovereign Center", "Estadio Benito Villamarín", "Wortham Theater Center", "Pepsi Center", "Bobcat Stadium", "Sleep Train Arena", "Anhalt Arena", "Agora Theatre and Ballroom", "National Ice Centre", "Penydarren Park", "Forrest Theatre", "United Palace Theater", "Estadio de La Cartuja", "Shanghai Stadium", "Elispace", "Al-Hamadaniah Stadium", "Wrigley Field", "Liberty Stadium", "Stadthalle Hagen", "Franklin Field", "Goodison Park", "Candlestick Park", "The Centre", "Memorial Gymnasium", "Pitt Stadium", "Stadio Olimpico", "D.C. Armory", "Manchester Arena", "Hagan Arena", "Palais Theatre", "Swayze Field", "Stadion An der Alten Försterei", "CenturyLink Field", "TD Ameritrade Park Omaha", "Compuware Arena", "Olsen Field at Blue Bell Park", "Dee Events Center", "Britannia Stadium", "E Werk", "Conexus Arts Centre", "Turner Field", "The Broadway Theatre", "Dom Sportova", "Civic Arena", "Gigantium", "Valley View Casino Center", "Venue Cymru", "Georgia Dome", "Rugby Park", "Arrowhead Stadium", "BMO Harris Bradley Center", "Los Angeles Memorial Coliseum", "Hyde Park Picture House, Leeds", "Wang Theatre", "Gershwin Theatre", "Cobb Energy Performing Arts Centre", "Stan Sheriff Center", "MDCC-Arena", "Grand Olympic Auditorium", "Orpheum Theatre", "Prospera Place", "Aggie Stadium", "Allphones Arena", "The Arches", "Rittal Arena Wetzlar", "Nationwide Arena", "Volleyball Sportiv Complex", "Cam Henderson Center", "Sleep Train Amphitheatre", "Boone Pickens Stadium", "Fir Park", "Palace Theatre, Manchester", "The Lighthouse", "Best Buy Theater", "İzmir Atatürk Stadium", "Cowtown Coliseum", "Stade de la Route de Lorient", "Falkirk Stadium", "Maverick Baseball Stadium", "FedExForum", "Docklands Stadium", "Benteler Arena", "Estadi Ciutat de València", "Safeco Field", "Mile One Centre", "Twickenham Stoop", "California Memorial Stadium", "Manchester Central Convention Complex", "LaVell Edwards Stadium", "Hallenstadion", "Nya Parken", "Deltaplex Arena & Conference Center", "Palace Theatre, Melbourne", "Old National Centre", "FirstEnergy Stadium", "Glasgow Royal Concert Hall", "Edinburgh Festival Theatre", "Futurist Theatre", "Allen Fieldhouse", "MacInnes Student Ice Arena", "Daytona International Speedway", "University at Buffalo Stadium", "Camp Randall Stadium", "UIC Pavilion", "U.S. Bank Arena", "The Sage Gateshead", "O'Connell Center", "Pavilion Theatre", "Lakefront Arena", "Memorial Stadium", "Winter Garden Theatre", "Yakima SunDome", "Stade de France", "Koning Willem II Stadion", "Saoud bin Abdulrahman Stadium", "Adelaide Oval", "Edgbaston Cricket Ground", "San Jose Center For The Performing Arts", "Show Me Center", "Kelly/Shorts Stadium", "Reebok Stadium", "The Shay", "Coors Field", "The Joint", "Headingley Stadium", "Mosaic Place", "Granada Theater", "Tiger Stadium", "Estadi Olímpic Lluís Companys", "Palau d'Esports de Granollers", "Rexall Place", "Alexandra Palace", "Dowdy–Ficklen Stadium", "Hard Rock Hotel and Casino", "Shrine Auditorium", "Subiaco Oval", "Celtic Park", "Brisbane Entertainment Centre", "Gachibowli Athletic Stadium", "New World Stages", "Rio Tinto Stadium", "Donald L. Tucker Center", "Lane Stadium", "Estádio do Maracanã", "Rogers Arena", "GelreDome", "Bryant–Denny Stadium", "Dunkin' Donuts Center", "Gillette Stadium", "Hill Auditorium", "Long Beach Convention and Entertainment Center", "Deva Stadium", "Palau Sant Jordi", "TD Waterhouse Stadium", "Percival Molson Memorial Stadium", "Foreman Field", "Fifth Third Arena", "Olympic Stadium", "Stadio Artemio Franchi – Montepaschi Arena", "Cape Town Stadium", "Hi Corbett Field", "Royal Bafokeng Stadium", "High Point Solutions Stadium", "Tate Rink", "Papa John's Cardinal Stadium", "Petersen Events Center", "Preußenstadion", "Viaero Event Center", "Orpheum Theatre", "Arlene Schnitzer Concert Hall, Portland", "Stade du Hameau", "Credit Union Centre", "Hampden Park", "Ivor Wynne Stadium", "Croke Park", "Congress Theater", "Sports Authority Field at Mile High", "Kinnick Stadium", "Kimmel Arena", "Arena do Grêmio", "Sleep Train Pavilion", "Zénith de Strasbourg", "Sprint Center", "Hofheinz Pavilion", "Ross–Ade Stadium", "Allianz Stadium", "Le Grand Rex", "Loftus Road", "Loftus Versfeld Stadium", "Carrara Stadium", "CenturyLink Center Omaha", "ARCO Arena I", "Green Point Stadium", "Luna Park, Buenos Aires", "Bronco Stadium", "Louis Brown Athletic Center", "Estadio Nuevo José Zorrilla", "Jalan Besar Stadium", "AT&T Performing Arts Center", "Mariucci Arena", "Riverside Theater", "FAU Stadium", "Phoenix Municipal Stadium", "Rice Stadium", "Arena Theatre", "Husky Stadium", "Stade Geoffroy-Guichard", "Saban Theatre", "Nassau Veterans Memorial Coliseum", "Pavilion Theatre", "Palais des congrès de Paris", "Eastern Kentucky Expo Center", "Waterfront Hall", "Boston Opera House", "Soldiers and Sailors Memorial Auditorium", "The Dome Leisure Centre", "Memorial Stadium", "Polideportivo Islas Malvinas", "Estádio do Dragão", "Credicard Hall", "Hinkle Fieldhouse", "National Stadium, Bukit Jalil", "Ottawa Civic Centre", "Williams-Brice Stadium", "Jenny Craig Pavilion", "BOK Center", "Rogers Centre", "Nashville Municipal Auditorium", "Bank of America Stadium", "Daniel–Meyer Coliseum", "Progressive Field", "Saitama Super Arena", "Austin Convention Center", "Rose Garden", "Lloyd Noble Center", "Glücksgas Stadium", "Palestra", "The Valley", "Jordan–Hare Stadium", "Adriatic Arena", "Challenge Stadium", "RiverCenter for the Performing Arts", "Victoria Theatre", "Minneapolis Convention Center", "Ford Field", "Detroit Opera House", "Estádio Vila Capanema", "Hult Center for the Performing Arts", "Regent Theatre", "Stadio Alberto Braglia", "Martin Stadium", "Antarès", "The O2", "Cricket Wireless Amphitheatre", "USF Sun Dome", "Kidd Brewer Stadium", "Liacouras Center", "Dean Smith Center", "Doak Campbell Stadium", "Bethel Woods Center for the Arts", "Save-On-Foods Memorial Centre", "Faurot Field", "Palace Theatre", "Breslin Student Events Center", "Cambria County War Memorial Arena", "Luis Conde Arena", "Melbourne Cricket Ground", "Verizon Center", "First Arena", "Vikings Stadium", "Winthrop Coliseum", "Galen Center", "Durham Bulls Athletic Park", "The Oval", "Centennial Concert Hall, Winnipeg", "Cajundome", "Jay Pritzker Pavilion", "Tilles Center for the Performing Arts", "ABB Arena Syd", "Peace and Friendship Stadium", "Hill 16", "The Florida Citrus Bowl Stadium", "Wagner Noel Performing Arts Center", "Velodrom", "McKenzie Arena", "Pan American Center", "Megasport Arena", "Bellerive Oval", "Mid-America Center", "Comanche County Fairgrounds", "Murrayfield Ice Rink", "Molineux Stadium", "Independence Stadium", "Celebrity Theatre", "Stadium Australia", "DakotaDome", "Tokyo Dome City", "Santiago Bernabéu Stadium", "Estadio Cubierto Newell's Old Boys", "Reser Stadium", "Warner Theatre", "AT&T Center", "Theatre Royal, Glasgow", "Cameron Stadium", "Mohegan Sun Arena at Casey Plaza", "New Theatre Oxford", "Royal Opera House, London", "Palladium Ballroom", "U.S. Cellular Center", "Centre Court", "Carrier Dome", "Al-Aqsa Mosque", "Stockton Arena", "Kingfield Stadium", "Melching Field at Conrad Park", "AFAS Stadion", "Clyde Auditorium", "Stadio San Paolo", "Coors Events Center", "GCS Ballpark", "Allstate Arena", "Spreckels Theater", "Ninian Park", "Richmond Coliseum", "Chrysler Hall", "Yale Bowl", "Florence Civic Center", "Maple Leaf Gardens", "Balaídos", "Aggie Stadium", "Gerry Weber Stadion", "Braly Municipal Stadium", "Bahrain National Stadium", "Honda Center", "Stade Francis-Le Blé", "Paul Brown Stadium", "Sun Life Stadium", "Stamford Bridge", "Resch Center", "Cleveland Stadium", "BJK İnönü Stadium", "War Memorial Stadium", "Ottawa Convention Centre", "Asim Ferhatović Hase Stadium", "Rexall Centre", "War Memorial Auditorium", "Robina Stadium", "Michigan Stadium", "Le Transbordeur", "Craven Cottage", "Victoria Palace Theatre", "Royal Theatre Carré", "Palladium Theater", "Chicago Theatre", "Colston Hall", "Carter–Finley Stadium", "Taco Bell Arena", "Centennial Stadium", "Queen Elizabeth Theatre", "Comcast Center", "Kibbie Dome", "BMO Field", "Schermerhorn Symphony Center", "Raymond James Stadium", "King's Theatre, Glasgow", "Empire, Leicester Square", "Wiener Musikverein", "Chiles Center", "Churchill Downs", "Carver–Hawkeye Arena", "Arlington Stadium", "Greensboro Coliseum Complex", "Royal Festival Hall", "Eden Gardens", "Esplanade - Theatres on the Bay, Singapore", "Texas Stadium", "Wembley Stadium", "Boardwalk Hall", "National Aquatic Centre", "San Francisco Airport Marriott Waterfront", "LP Field", "Westpac Stadium", "5th Avenue Theatre", "San Diego Civic Theatre", "Palacio Vistalegre", "Verizon Wireless Amphitheater", "Bowers Stadium", "Princess Theatre, Melbourne", "Wankhede Stadium", "Newcastle City Hall", "Ricoh Coliseum", "Bramlage Coliseum", "Shotwell Stadium", "Victoria Hall, Hanley", "State Farm Center", "AWD Hall", "Wells Fargo Arena", "Worthington Arena", "Broward Center for the Performing Arts", "Chaifetz Arena", "Racquet Club of Memphis", "Silverdome", "Stadio delle Alpi", "Columbus Crew Stadium", "Sydney Opera House", "Ashton Gate Stadium", "Magness Arena", "Rabobank Arena", "Cintas Center", "Dvorana Mirza Delibašić", "Tad Smith Coliseum", "Androscoggin Bank Colisée", "Al Hirschfeld Theatre", "Von Braun Center", "Hollywood Bowl", "David A. Straz Jr. Center for the Performing Arts", "Charleston Civic Center", "Regent Theatre", "Ethias Arena", "Staples Center", "Event Center Arena", "State Theatre", "New I-Mobile Stadium", "Faliro Coastal Zone Olympic Complex", "Rice-Eccles Stadium", "Lanxess Arena", "Bass Performance Hall", "Stade Armand Cesari", "Emens Auditorium, Ball State University", "Frost Arena", "Mercedes-Benz Superdome", "St. Augustine Amphitheatre", "Thompson–Boling Arena", "Cedar Rapids Ice Arena", "Soccer City", "Sparkassen-Erzgebirgsstadion", "Verizon Wireless Arena", "Donau Arena", "Romney Stadium", "Bondi Beach", "Qemal Stafa Stadium", "UNI-Dome", "Yokohama Arena", "Estadio Alberto J. Armando", "Palace Theatre", "Colonial Life Arena", "Memorial Stadium, Clemson", "Gerald J. Ford Stadium", "Sun Devil Stadium", "Apollo Victoria Theatre", "INB Performing Arts Center", "Bangalore Football Stadium", "Riverbend Music Center", "Eriksdalshallen", "Chase Field", "Old Trafford Cricket Ground", "Los Angeles Memorial Sports Arena", "Teatro dell'Opera di Roma", "Towson Center", "Creighton Orpheum Theater", "Alabama Theatre", "TipsArena", "Riverfront Stadium", "Hubert H. Humphrey Metrodome", "Sam Boyd Stadium", "Kay Bailey Hutchison Convention Center", "Alfond Arena", "Belmore Sports Ground", "TCF Bank Stadium", "Gaylord Family Oklahoma Memorial Stadium", "Salle Wilfrid-Pelletier, Montreal", "Bryce Jordan Center", "Roanoke Civic Center", "First Niagara Center", "Osceola County Stadium", "Tower Theater", "Spartan Stadium", "Stadio Ennio Tardini", "Palais des Sports", "Huish Park", "Robinson Center, Little Rock", "Fox Theater", "State Theatre", "Sports Ground, Woodbridge Road, Guildford", "Alaska Airlines Arena at Hec Edmundson Pavilion", "American Airlines Center", "Auditorium Parco della Musica", "St. James Theatre, Wellington", "Lawlor Events Center", "Miller Outdoor Theatre", "Giant Center", "American Bank Center", "New Jersey Performing Arts Center", "Stadion Oberwerth", "EverBank Field", "Thani bin Jassim Stadium", "Lakewood Church Central Campus", "Gatorade Garden City Complex", "War Memorial Stadium", "Smart Araneta Coliseum", "UNF Arena", "Spiroudome", "Teatro degli Arcimboldi", "Neyland Stadium", "Wallace Wade Stadium", "Bobby Dodd Stadium", "Alamo Stadium", "Palais Garnier", "Old Trafford", "Covelli Centre", "Mosaic Stadium at Taylor Field", "Blue Cross Arena", "Yankee Stadium", "Webster Bank Arena", "Laredo Energy Arena", "Buck Shaw Stadium", "Folsom Field", "The Muny", "United Center", "Bartow Arena", "Sullivan Athletic Center", "Roberts Municipal Stadium", "Nelson W. Wolff Municipal Stadium", "Nippert Stadium", "Hammersmith Palais", "FC Dallas Stadium", "Robert F. Kennedy Memorial Stadium", "Kungliga tennishallen", "Doug Mitchell Thunderbird Sports Centre", "Sunderland Empire Theatre", "Richmond Olympic Oval", "Qualcomm Stadium", "Brown Stadium", "Los Angeles Theatre", "Ferrell Center", "Ikast-Brande Arena", "Teatro Colón, Buenos Aires", "Drayton McLane Baseball Stadium at John H. Kobs Field", "White Hart Lane", "Mestalla Stadium", "Rupp Arena", "Vector Arena", "Scheels Arena", "Glens Falls Civic Center", "Shea Stadium", "Vancouver Convention Centre", "Stanley Park Stadium", "Beijing National Aquatics Center", "Fratton Park", "William D. Mullins Memorial Center", "Beijing National Aquatics Center", "Tropicana Field", "Juventus Stadium", "SIU Arena", "Carnie Smith Stadium", "Massey Hall", "Louise M. Davies Symphony Hall", "Stanford Stadium", "Marion Palace Theatre", "Saint Paul RiverCentre", "Pershing Center", "New Wimbledon Theatre", "U.S. Cellular Coliseum", "Olympic Stadium", "Red Rocks Amphitheatre", "Peabody Auditorium", "John Paul Jones Arena", "Uptown Theater", "Ted Constant Convocation Center", "Target Field", "The Bell Auditorium", "McKale Center", "Smith Center for the Performing Arts", "MaxiparkArena", "Melbourne Multi Purpose Venue", "Alex G. Spanos Center", "Four Seasons Centre for the Performing Arts", "Robertson Stadium", "Nelson Mandela Bay Stadium", "Rangers Ballpark in Arlington", "Lawrence Joel Veterans Memorial Coliseum", "Germain Arena", "National Auditorium", "Hanns-Martin-Schleyer-Halle", "Robins Center", "Salvus-Stadion am Grevener Damm", "Rajamangala Stadium", "Rimrock Auto Arena at MetraPark", "Wicomico Youth and Civic Center", "Bloomfield Road", "Türk Telekom Arena", "DCU Center", "Welsh-Ryan Arena", "Cannon Center-Performing Arts", "State Theatre", "Kenan Memorial Stadium", "Notre Dame Stadium", "Thomas Wolfe Auditorium", "Tampa Stadium", "Norva Theatre", "Estadio José María Bértora", "Cow Palace", "Tatran Handball Arena", "Villa Park", "Verizon Wireless Amphitheatre", "Vicarage Road", "Gersten Pavilion", "Aviva Stadium", "Eden Park", "City of Manchester Stadium", "Maui Arts & Cultural Center", "LDS Conference Center", "Tokyo Dome", "Auditorio Banamex", "Arizona Stadium", "Williams Arena", "Vancouver Forum", "Nokia Theatre L.A. Live", "HMV Forum", "Stadio Renato Dall'Ara", "Reliant Stadium", "MetLife Stadium", "WVU Coliseum", "Johnny Unitas Stadium", "Huntington Avenue Grounds", "Lincoln Financial Field", "Bramall Lane", "Freedom Hall", "Princess of Wales Theatre", "Peter Mokaba Stadium", "Sandia Resort and Casino", "Ussishkin", "Apollo Theater", "Olympia Ice Center", "Academy of Music", "Rec Hall", "Marina Civic Center", "Perth Oval", "Thunder Bay Community Auditorium", "Washington Avenue Armory", "Mahalia Jackson Theater of the Performing Arts", "Swedbank Park", "PNC Arena", "Wolverhampton Civic Hall", "Estadio El Madrigal", "Niaz Stadium", "New York City Center", "Brooklyn Academy of Music", "EnergySolutions Arena", "Millennium Stadium", "De Grolsch Veste", "Stade Auguste Bonal", "Regent Theatre, Dunedin", "Auditorium-Orchestre National de Lyon", "EnergyAustralia Stadium", "Cole Field House", "Floyd Casey Stadium", "Teatro alla Scala", "Haas Pavilion", "Walt Disney Concert Hall", "Great American Ball Park", "St David's Hall", "K-Rock Centre", "Oakdale Theatre", "National Auditorium of Music", "Verizon Theatre at Grand Prairie", "Citi Field", "OlympiaWorld Innsbruck", "Rose Bowl", "Harbour Station", "Sydney Entertainment Centre", "Shoreline Amphitheatre", "Max-Schmeling-Halle", "Apollo Theater", "The Concert Hall in Aarhus", "McMahon Stadium", "Chacarita Juniors Stadium", "Liberty Bank Stadium", "Astana Arena", "Stade Vélodrome", "Camp Nou", "Hampton Coliseum", "Orpheum Theatre", "Falcon Stadium", "Point Theatre", "Fenway Park", "Stechert Arena", "Value City Arena at the Jerome Schottenstein Center", "Peden Stadium", "Edward Jones Dome", "Capitol Theatre", "Pellissier Building and Wiltern Theatre", "Amway Center", "Tulalip Resort Casino", "BankUnited Center", "König Pilsener Arena", "Vicente Calderón Stadium", "Javelina Stadium", "Comcast Arena", "XL Center", "Lord's Cricket Ground", "York Park", "O2 Academy Glasgow", "Tacoma Dome", "Krannert Center for the Performing Arts", "Chesapeake Energy Arena", "Hampton Convocation Center", "Ulster Performing Arts Center", "Bord Gáis Energy Theatre", "Marriott Center", "Joe Louis Arena", "Autzen Stadium", "Underhill Stadium", "Orpheum Theatre", "National Indoor Arena", "O2 World", "El Paso County Coliseum", "Hokkaido Prefectural Sports Center", "Városi Sportcsarnok", "World Arena, Colorado Springs", "László Papp Budapest Sports Arena", "Reynolds Coliseum", "Embassy Theatre", "Jones AT&T Stadium", "Sadler's Wells Theatre", "Molson Canadian Amphitheatre", "Auditorio Telmex", "Lotto Arena", "PPL Park", "Ed Mirvish Theatre", "Thomas & Mack Center", "Boleyn Ground", "Salem Civic Center", "New York Hippodrome", "Legion Field", "The Times Union Center", "Knoxville Civic Auditorium and Coliseum", "Consol Energy Center", "Reed Arena", "Hartwall Areena", "McCoy Stadium", "Central Park, Cowdenbeath", "Matthew Knight Arena", "Darrell K Royal–Texas Memorial Stadium", "Cardiff Arena", "The Fillmore Detroit", "Lansdowne Road", "Perth Arena", "Dominion Theatre", "Gold Coast Convention and Exhibition Centre", "William \"Dick\" Price Stadium", "Crystal Cathedral", "Curry Hicks Cage", "Ford Center", "Foxboro Stadium", "Lake Elsinore Diamond", "Coliseum Alfonso Pérez", "Fargodome", "Jon M. Huntsman Center", "Verizon Arena", "National Concert Hall, Dublin", "Auckland Civic Theatre", "Proctors", "Taft Theatre", "Stadio Olimpico di Torino", "Summum", "Sydney Cricket Ground", "Crisler Center", "Lahaina Civic Center", "Stade Marcel Picot", "Durham County Stadium", "Redbird Arena", "Rose Bowl", "BC Place", "Lucas Oil Stadium", "Kemper Arena", "Minskoff Theatre", "WACA Ground", "Hobby Center for the Performing Arts", "FedExField", "PNC Bank Arts Center", "Lynah Rink", "Tennessee Theatre", "Charline McCombs Empire Theatre", "Toyota Center", "Marlins Park", "Boston Garden", "Western Hall", "Barabati Stadium", "Whistler Olympic Park", "Princess Theatre, Torquay", "Dorton Arena", "Minute Maid Park", "The O2 Arena", "Ryan Center", "Ellis Park Stadium", "Toyota Center", "Goss Stadium at Coleman Field", "Save Mart Center", "Aberystwyth Arts Centre", "Family Arena", "Metropolitan Opera House", "ShoWare Center", "HR Commitment Arena", "Star Plaza Theatre", "Stranahan Theater", "Madison Square Garden", "Stadio Giovanni Zini", "Byrd Stadium", "The Elgin Theatre", "Stadio Renato Curi", "Amway Arena", "Ottawa Auditorium", "Tampa Bay Times Forum", "1stBank Center", "Reliant Astrodome", "New Road, Worcester", "Lyric Opera House", "Doak Field", "Nationals Park", "Metro Radio Arena", "HK Arena", "Birmingham Hippodrome", "BancorpSouth Arena", "Alumni Stadium", "Råsunda Stadium", "Bridgeforth Stadium and Zane Showker Field", "Cobo Center", "Consol Energy Center", "Wings Stadium", "Chester Fritz Auditorium", "Pantages Theatre", "Arena di Verona", "Lyric Theatre, Sydney", "Kauffman Stadium", "Comcast Center", "CFSB Center", "Brandt Centre", "Ebbets Field", "Calvin Gilmore Theater", "US Airways Center", "Agganis Arena", "BI-LO Center", "Estadio Nuevo Los Cármenes", "Saratoga Performing Arts Center", "Memorial Stadium", "Harris Theater", "Morris Performing Arts Center", "Regent Theatre, Melbourne", "Three Rivers Stadium", "Sullivan Arena", "Roundhouse", "State Theatre", "Charles E. Smith Athletic Center", "Ewood Park", "Spokane Veterans Memorial Arena", "Sonny Lubick Field at Hughes Stadium", "University of Phoenix Stadium", "Rialto Square Theatre", "Principal Park", "Whittemore Center", "Ajinomoto Stadium", "Holt Arena", "Bristol Hippodrome", "Richard E. Berry Educational Support Center", "Beacon Theatre, New York", "Estadio Marcelo Bielsa", "Ohio Stadium", "Tulane Stadium", "Utica Memorial Auditorium", "Izod Center", "Reno Events Center", "Citi Performing Arts Center", "Clark–LeClair Stadium", "Amman International Stadium", "Angel Stadium of Anaheim", "Fife Ice Arena", "Capitol Theatre, Sydney", "Ice Palace \"Ural Lightning\"", "Jack Trice Stadium", "De Montfort Hall", "North Charleston Coliseum", "Estadio Fortunato Bonelli", "Tannadice Park", "Golden Gate Theatre", "Campo de Fútbol de Vallecas", "Conte Forum", "Gaillard Municipal Auditorium", "Eisstadion Weißwasser", "MGM Grand Garden Arena", "McArthur Court", "Target Center", "Bill Snyder Family Football Stadium", "Matthews Arena", "Whistler Sliding Centre", "Bright House Networks Stadium", "Van Andel Arena", "The Time Warner Cable Arena", "Stadthalle Graz", "Redondo Beach Performing Arts Center", "AT&T Park", "Majestic Theater", "Shea's Performing Arts Center", "Canad Inns Stadium", "Metalist Oblast Sports Complex", "Bill Graham Civic Auditorium", "Kiel Auditorium", "Cameron Indoor Stadium", "Coronado Performing Arts Center", "Kress Events Center", "Cynthia Woods Mitchell Pavilion", "KeyArena", "Frederiksberghallen", "Canberra Stadium", "Expo Square Pavilion", "Knapp Center", "Elliott Hall of Music", "KC Stadium", "Estádio do Pacaembu", "Zellerbach Hall", "New Amsterdam Theatre", "Community Arts Center", "East End Park", "Estádio Olímpico João Havelange", "MassMutual Center", "De Doelen", "Palaran Stadium", "Munn Ice Arena", "Ponds Forge International Sports Centre", "Majestic Theatre", "Barrie Molson Centre", "Curb Event Center", "The Palace of Auburn Hills", "Chicago Stadium", "WesBanco Arena", "Stade du Moustoir", "FIU Stadium", "Wembley Arena", "Scotiabank Place", "Citizens Bank Park", "Fox Theatre", "Hanover Theatre for the Performing Arts", "Ullevi", "Gaiety Theatre, Dublin", "Estadio Racing Club", "Nuremberg Arena", "North Harbour Stadium", "Miller Park", "Bushnell Center for the Performing Arts", "The Pit", "Ricoh Arena" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000500, "question": "what venues are able to hold at least 1417 guests?", "answer": [ "Frost Arena", "Sun Bowl Stadium", "McCoy Stadium", "Charline McCombs Empire Theatre", "Miami Beach Convention Center", "Gachibowli Athletic Stadium", "Barrie Molson Centre", "Auditorium-Orchestre National de Lyon", "Notre Dame Stadium", "Hagan Arena", "HoHoKam Stadium", "Estádio José Alvalade", "Conte Forum", "Hershey Centre", "Gallagher-Iba Arena", "BankUnited Center", "Hubert H. Humphrey Metrodome", "Echo Arena Liverpool", "Pavilion Theatre", "HMV Forum", "Prince Edward Theatre", "Sydney Entertainment Centre", "Festival Hall", "Stan Sheriff Center", "Mizzou Arena", "Veterans Memorial Auditorium", "Palais des Sports", "PNC Bank Arts Center", "Durham County Stadium", "General Motors Centre", "Bobby Dodd Stadium", "Ottawa Convention Centre", "U.S. Cellular Coliseum", "The O2", "Jon M. Huntsman Center", "Theodoros Kolokotronis Stadium", "Rice-Eccles Stadium", "Pabellón Polideportivo Artaleku", "Edgbaston Cricket Ground", "Victoria Palace Theatre", "Family Arena", "Liacouras Center", "The Concert Hall in Aarhus", "Hard Rock Hotel and Casino", "Beacon Theatre, New York", "Old National Centre", "Olympia Bruno Coquatrix", "Expo Square Pavilion", "Sydney Opera House", "Aloha Stadium", "5th Avenue Theatre", "ARCO Arena I", "Kay Bailey Hutchison Convention Center", "Lloyd Noble Center", "North Shore Music Theatre", "Palaran Stadium", "Franklin Field", "Yankee Stadium", "Hammerstein Ballroom", "Sanford Center", "Jorgensen Center for the Performing Arts", "Municipal Auditorium", "Chavez Theatre", "Braly Municipal Stadium", "Estadio José Jorge Conte", "The Egg", "Star Plaza Theatre", "Warner Theatre", "Cajun Field", "Ted Constant Convocation Center", "Tad Smith Coliseum", "Stadio Antonio Bianco", "Rice Stadium", "Melching Field at Conrad Park", "Royal Melbourne Showgrounds", "Wicomico Youth and Civic Center", "Estádio Vila Capanema", "The Oval", "American Airlines Center", "Rhein-Neckar Arena", "Georgia Dome", "Lord's Cricket Ground", "Palais Omnisports de Paris-Bercy", "The Dome Leisure Centre", "Pete Maravich Assembly Center", "Stadthalle Hagen", "Convocation Center", "Bank of America Stadium", "Riverbend Music Center", "Hult Center for the Performing Arts", "Golden Gate Theatre", "Ice Palace \"Ural Lightning\"", "Morris Performing Arts Center", "Ethias Arena", "Estadi Ciutat de València", "Weserstadion", "Coliseum Alfonso Pérez", "Wells Fargo Center", "TCF Bank Stadium", "Achilles Rink", "Memorial Stadium", "Three Rivers Stadium", "Cameron Indoor Stadium", "Allen County War Memorial Coliseum", "New Orleans Arena", "Al-Aqsa Mosque", "Belmore Sports Ground", "Atletion", "Shanghai Stadium", "Grand Lake Theater", "Eisarena Salzburg", "Chicago Theatre", "Heinz Field", "Tonhalle", "Chase Field", "John F. Kennedy Stadium", "Fargodome", "MacInnes Student Ice Arena", "Peabody Opera House", "MGM Grand Garden Arena", "Wembley Arena", "Akoo Theatre at Rosemont", "Yankee Stadium", "Alabama Theatre", "W. L. Zorn Arena", "Stade Vélodrome", "Roberts Municipal Stadium", "Capitol Theatre", "Husky Stadium", "Ralph Engelstad Arena", "Lander's Center", "Gachibowli Indoor Stadium", "Germain Arena", "Palau Sant Jordi", "Consol Energy Center", "Mosaic Stadium at Taylor Field", "Frederiksberghallen", "State Theatre", "Lawrence Joel Veterans Memorial Coliseum", "Kemper Arena", "Peter Mokaba Stadium", "Florence Civic Center", "U.S. Cellular Center", "The Elgin Theatre", "Green Point Stadium", "Calvin Gilmore Theater", "Skelly Field at H. A. Chapman Stadium", "Nikon at Jones Beach Theater", "Saint Paul RiverCentre", "Pensacola Civic Center", "O2 Academy Liverpool", "Ford Field", "Kungliga tennishallen", "Rentschler Field", "Plymouth Pavilions", "Phoenix Municipal Stadium", "Matthew Knight Arena", "Murrayfield Ice Rink", "Count Basie Theatre", "Estádio do Bessa", "Crystal Cathedral", "Challenge Stadium", "Ottawa Auditorium", "Pioneer Center for the Performing Arts", "Clark–LeClair Stadium", "Alumni Stadium", "Memorial Stadium, Lincoln", "WesBanco Arena", "Fir Park", "Bridgestone Arena", "Nassau Veterans Memorial Coliseum", "Thebarton Theatre", "BayArena", "Old Trafford Cricket Ground", "Toyota Center", "Chiles Center", "Aggie Stadium", "Stanley Park Stadium", "AT&T Park", "Liberty Stadium", "Stadio Olimpico", "Princeton University Stadium", "Bobcat Stadium", "Welsh-Ryan Arena", "Luis Conde Arena", "The Louisville Palace", "National Aquatic Centre", "Vancouver Convention Centre", "Kyle Field", "DCU Center", "North Harbour Stadium", "Rugby Park", "Louis Brown Athletic Center", "Hartwall Areena", "Giants Stadium", "Beijing National Stadium", "War Memorial Stadium", "Sullivan Arena", "The Coronet", "Nationwide Arena", "Silverdome", "Symphony Hall", "Rupp Arena", "War Memorial Stadium", "Tilles Center for the Performing Arts", "The Centre", "Amway Arena", "Celtic Park", "Lawlor Events Center", "Estadio Cubierto Newell's Old Boys", "Hi Corbett Field", "PPL Park", "Wellmont Theatre", "Marin County Civic Center", "Tropicana Field", "Elland Road", "Coors Events Center", "U.S. Bank Arena", "Robins Center", "Birmingham–Jefferson Convention Complex", "Canad Inns Stadium", "Camp Nou", "Winter Garden Theatre", "Molineux Stadium", "Saoud bin Abdulrahman Stadium", "Vicarage Road", "Estadio Alberto J. Armando", "Candlestick Park", "Salem Civic Center", "Foro Sol", "Petco Park", "Montgomery Performing Arts Centre", "State Theatre", "Proctors", "El Paso County Coliseum", "Littlejohn Coliseum", "Paramount Theatre", "Owensboro Sports Center", "Concertgebouw, Amsterdam", "Edmund P. Joyce Center", "Edinburgh Festival Theatre", "Allen Event Center", "King's Theatre, Glasgow", "Camp Randall Stadium", "University at Buffalo Stadium", "Estádio do Maracanã", "Metalist Oblast Sports Complex", "Rose Bowl", "Olympia Ice Center", "GelreDome", "Sleep Train Amphitheatre", "Uptown Theatre", "Madejski Stadium", "Austin Convention Center", "St. Augustine Amphitheatre", "Luna Park, Buenos Aires", "Majestic Theatre", "Wortham Theater Center", "Wiener Stadthalle Hall D", "Coface Arena", "Sun National Bank Center", "Majestic Theatre", "Halifax Metro Centre", "Morrison Center", "Reser Stadium", "Bojangles' Coliseum", "Busch Stadium", "Polideportivo Islas Malvinas", "Estadio Tetelo Vargas", "Stabler Arena", "Saitama Super Arena", "Rabobank Arena", "Jack Trice Stadium", "JQH Arena", "Tad Gormley Stadium", "Majestic Theatre", "First Arena", "TD Bank Garden", "Valley View Casino Center", "TipsArena", "Asim Ferhatović Hase Stadium", "Johnny Unitas Stadium", "Reynolds Coliseum", "Buck Shaw Stadium", "Whittemore Center", "Williams-Brice Stadium", "Stade Francis-Le Blé", "East Fremantle Oval", "OlympiaWorld Innsbruck", "Dorton Arena", "Maverick Baseball Stadium", "Pauley Pavilion", "Fox Theatre", "National Hockey Stadium", "Arena at Gwinnett Center", "Wrigley Field", "Carter–Finley Stadium", "Mile High Stadium", "Scandinavium", "Palau d'Esports de Granollers", "Thompson–Boling Arena", "Coronado Performing Arts Center", "Beethovenhalle", "Packard Stadium", "Symphony Hall, Birmingham", "Shea Stadium", "Verizon Theatre at Grand Prairie", "Knapp Center", "Amway Center", "Verizon Arena", "Carrara Stadium", "Taco Bell Arena", "Kinnick Stadium", "Ladd Peebles Stadium", "Dunkin' Donuts Center", "Croke Park", "Columbiahalle", "Vines Center", "Donald W. Reynolds Razorback Stadium", "Cheltenham Racecourse", "TSB Bank Arena", "Sunderland Empire Theatre", "Ralph Wilson Stadium", "Spokane Veterans Memorial Arena", "Memorial Stadium", "Southampton Guildhall", "Indiana University Auditorium", "Madison Square Garden", "Grugahalle", "Hilton Coliseum", "Anaheim Convention Center", "Prospera Place", "Stamford Bridge", "Fife Ice Arena", "Tennessee Theatre", "The Muny", "Türk Telekom Arena", "Salt Lake Stadium", "Barclays Center", "Melbourne Multi Purpose Venue", "Maverik Center", "Foxwoods Theatre", "Lunt-Fontanne Theatre", "Jobing.com Arena", "Wolverhampton Civic Hall", "Frankfurter Volksbank Stadion", "The Palace of Auburn Hills", "Ibrox Stadium", "Imperial Theatre", "Target Field", "Fisher Field", "Summum", "Kezar Stadium", "Niaz Stadium", "Pellissier Building and Wiltern Theatre", "Arena Nova", "Cassell Coliseum", "Bangalore Football Stadium", "Apollo Theater", "Pantages Theatre", "Orpheum Theatre", "Kombank Arena", "Regent Theatre, Dunedin", "Tiger Stadium", "Joseph P. Riley, Jr. Park", "The Time Warner Cable Arena", "Harvard Stadium", "Landmark Theatre", "Empire, Leicester Square", "E Werk", "Ems-Hölle", "Carter Barron Amphitheatre", "Citi Field", "Minskoff Theatre", "Tuacahn", "Rogers Centre", "Villa Park", "FC Dallas Stadium", "Taft Theatre", "Richard E. Berry Educational Support Center", "Dodger Stadium", "Queen Elizabeth Theatre", "Teatro Colón, Buenos Aires", "Ponds Forge International Sports Centre", "Stade de la Route de Lorient", "Alerus Center", "Grand Ole Opry", "Independence Stadium", "O2 Academy Glasgow", "Phoenix Symphony Hall", "Olympic Stadium", "Ricoh Arena", "Zellerbach Hall", "San Diego Civic Theatre", "Marquis Theatre", "Vanderbilt Stadium", "Deltaplex Arena & Conference Center", "HR Commitment Arena", "Eden Park", "Red Rock Resort Spa and Casino", "Pepsi Center", "Manchester Arena", "Swedbank Park", "Fox Theatre", "Busch Memorial Stadium", "Hill 16", "Gersten Pavilion", "BB&T Field", "Durham Bulls Athletic Park", "Charles Koch Arena", "Royal Festival Hall", "Oslo Opera House", "Parc des Sports", "Emirates Stadium", "Wallace Wade Stadium", "Eisstadion Weißwasser", "Dowdy–Ficklen Stadium", "Royal Opera House, London", "Al Hirschfeld Theatre", "Grand Olympic Auditorium", "Drayton McLane Baseball Stadium at John H. Kobs Field", "London Coliseum", "Cedar Park Center", "Suncorp Stadium", "Gaillard Municipal Auditorium", "Estadio Monumental Antonio Vespucio Liberti", "EnergyAustralia Stadium", "Hampden Park", "Dow Event Center", "Vicente Calderón Stadium", "Lawson Arena", "Big Sandy Superstore Arena", "EnergySolutions Arena", "Mile One Centre", "Palace Theatre", "Floyd Casey Stadium", "Estadio Ciudad de La Plata", "Matthews Arena", "Brandt Centre", "Verizon Wireless Amphitheater", "Lipperlandhalle", "Holy Name Cathedral, Chicago", "Academy of Music", "Orleans Arena", "Estadio Julio Humberto Grondona", "Liberty Bowl Memorial Stadium", "The Joint", "UCF Arena", "Ohio Stadium", "Cardiff Arena", "Bowers Stadium", "Pavilion Theatre", "Canton Memorial Civic Center", "Sioux Falls Arena", "Motorpoint Arena Cardiff", "Newcastle Entertainment Centre", "Stranahan Theater", "Esplanade - Theatres on the Bay, Singapore", "Gold Coast Convention and Exhibition Centre", "McMahon Stadium", "London Palladium", "PNC Park", "Long Beach Convention and Entertainment Center", "Maples Pavilion", "Shoreline Amphitheatre", "Joe Louis Arena", "Alamodome", "Dvorana Mirza Delibašić", "Credicard Hall", "Estadio de La Cartuja", "Citizens Bank Park", "US Airways Center", "König Pilsener Arena", "Soccer City", "UIC Pavilion", "Adler Theatre", "Mage Solar Stadion", "Gaiety Theatre, Dublin", "McKale Center", "Paul E. Tsongas Center at UMass Lowell", "Lanxess Arena", "Thunder Bay Community Auditorium", "Balaídos", "Cam Henderson Center", "Stadio Giovanni Zini", "Brighton Centre", "Consol Energy Center", "Moses Mabhida Stadium", "Utica Memorial Auditorium", "Teatro alla Scala", "The Fillmore Detroit", "Safeco Field", "Goggin Ice Arena", "Palais Garnier", "Esprit Arena", "National Auditorium of Music", "City of Manchester Stadium", "Mohegan Sun Arena at Casey Plaza", "Stadio San Paolo", "Lane Stadium", "Estadio Nuevo José Zorrilla", "Estadi Olímpic Lluís Companys", "National Auditorium", "Liberty Bank Stadium", "Pennsylvania Convention Center", "Palestra", "Rajamangala Stadium", "Columbus Civic Center", "Adriatic Arena", "Massey Hall", "Cameron Stadium", "Cannon Center-Performing Arts", "AT&T Center", "The Forum", "Sports Ground, Woodbridge Road, Guildford", "Saban Theatre", "Dean Smith Center", "Stadthalle Graz", "Kohl Center", "Gayfield Park", "Kidd Brewer Stadium", "HK Arena", "Riverfront Stadium", "Victoria Theatre", "The Whiting", "Robinson Center, Little Rock", "Soldiers and Sailors Memorial Auditorium", "Stade de Gerland", "Central Park, Cowdenbeath", "Tiger Stadium", "Gerry Weber Stadion", "Love Street", "Palais Theatre", "BMO Harris Bank Center", "Best Buy Theater", "Charleston Civic Center", "Orpheum Theatre", "Colonial Life Arena", "Pride Park Stadium", "Salt River Fields at Talking Stick", "Anfield", "Shotwell Stadium", "Lakewood Church Central Campus", "Cowtown Coliseum", "Darrell K Royal–Texas Memorial Stadium", "Martin Stadium", "City National Grove of Anaheim", "Comerica Theatre", "Whistler Olympic Park", "Usher Hall, Edinburgh", "Campo de Fútbol de Vallecas", "Ninian Park", "Comcast Center", "Quicken Loans Arena", "Greensboro Coliseum Complex", "Alamo Stadium", "1st Mariner Arena", "Lotto Arena", "Bahrain National Stadium", "Mariucci Arena", "Baum Stadium", "Chicago Stadium", "Kauffman Stadium", "Fifth Third Arena", "Eastman Theatre", "Hampton Coliseum", "Winter Gardens, Blackpool", "Citizens Business Bank Arena", "Oracle Arena", "Scotiabank Place", "Carnie Smith Stadium", "Sun Life Stadium", "Andrew Jackson Hall", "Wembley Stadium", "Agganis Arena", "Congress Theater", "Broward Center for the Performing Arts", "Stade Sébastien Charléty", "Flens-Arena", "Dee Events Center", "Wang Theatre", "Independence Events Center", "Westpac Stadium", "The Shay", "Sports Authority Field at Mile High", "El Sadar Stadium", "Reed Arena", "Spartak Stadium", "Estádio do Dragão", "Sullivan Athletic Center", "Regent Theatre, Melbourne", "Daniel–Meyer Coliseum", "Hofheinz Pavilion", "Twickenham Stadium", "Stadio Olimpico di Torino", "Glücksgas Stadium", "Spreckels Theater", "Rose Garden", "Teatro degli Arcimboldi", "Víctor Jara Stadium", "Washington Avenue Armory", "Zenith Arena", "Olympic Stadium", "Wells Fargo Arena", "Majestic Theater", "Michigan Stadium", "Robert F. Kennedy Memorial Stadium", "Qualcomm Stadium", "Riviera Theatre", "Amsterdam Arena", "Michie Stadium", "Lake Elsinore Diamond", "Fenway Park", "Stade du Moustoir", "Knoxville Civic Auditorium and Coliseum", "Veterans Memorial Coliseum", "Glens Falls Civic Center", "Congress Theatre", "Kress Events Center", "Budweiser Gardens", "O2 World", "Loftus Versfeld Stadium", "High Point Solutions Stadium", "Richmond Olympic Oval", "Royal Agricultural Hall", "Savannah Civic Center", "Savoy Cinema", "Gigg Lane", "Roundhouse", "Sovereign Center", "Stade Marcel Picot", "Stadio Artemio Franchi", "Waldo Stadium", "Hollywood Bowl", "Reliant Stadium", "Embassy Theatre", "National Indoor Arena", "Mississippi Coliseum", "Kimmel Arena", "Crisler Center", "Saratoga Performing Arts Center", "Santiago Bernabéu Stadium", "Denver Coliseum", "Stadio Renato Dall'Ara", "Sprint Center", "Vancouver Forum", "Emens Auditorium, Ball State University", "Cynthia Woods Mitchell Pavilion", "Verizon Wireless Arena", "Preußenstadion", "Bud Walton Arena", "McKenzie Arena", "Stade de la Mosson", "Estadio Fortunato Bonelli", "Robina Stadium", "Turner Field", "Memorial Stadium, Clemson", "Gibson Amphitheatre", "Neyland Stadium", "Apollo Theater", "Stadio delle Alpi", "Adelaide Oval", "Rialto Square Theatre", "Westfalenstadion", "Beaver Stadium", "Canberra Stadium", "Save-On-Foods Memorial Centre", "Faliro Coastal Zone Olympic Complex", "Maple Leaf Gardens", "Kenan Memorial Stadium", "Fatorda Stadium", "Ajinomoto Stadium", "Norva Theatre", "Benteler Arena", "Commerzbank-Arena", "Yokohama Arena", "Auditorio Banamex", "Harry A. Gampel Pavilion", "Pan American Center", "Swedbank Stadion", "Városi Sportcsarnok", "Huntington Avenue Grounds", "Value City Arena at the Jerome Schottenstein Center", "Her Majesty's Theatre, Melbourne", "RiverCenter for the Performing Arts", "Meadow Park", "Faurot Field", "Medicine Hat Arena", "1stBank Center", "KFC Yum! Center", "Calihan Hall", "Tower Theater", "New Road, Worcester", "Molson Canadian Amphitheatre", "Charlotte Coliseum", "Paulson Stadium", "Charles E. Smith Athletic Center", "Hillsborough Stadium", "Comcast Arena", "Abe Lenstra Stadion", "Edward Jones Dome", "Alexandra Palace", "Comanche County Fairgrounds", "Sadler's Wells Theatre", "Magness Arena", "Bryce Jordan Center", "Assembly Hall", "Scott Stadium", "Le Grand Rex", "Craven Cottage", "Hofburg Palace", "Arsenal Stadium", "Estadio Benito Villamarín", "Dale F. Halton Arena", "Singapore Indoor Stadium", "Twickenham Stoop", "Philips Stadion", "University of Phoenix Stadium", "Sanford Stadium", "Olsen Field at Blue Bell Park", "Maui Arts & Cultural Center", "KeyArena", "Birmingham Hippodrome", "Angel Stadium of Anaheim", "Los Angeles Memorial Coliseum", "Grand Theatre, Leeds", "O2 World", "The O2 Arena", "Koning Willem II Stadion", "Subiaco Oval", "Ericsson Globe", "Reno Events Center", "Oakland-Alameda County Coliseum", "Beijing National Aquatics Center", "Boston Opera House", "Roy Wilkins Auditorium", "New Theatre Oxford", "Moody Coliseum", "Eden Gardens", "Lansdowne Road", "Estadio Marcelo Bielsa", "Hyde Park Picture House, Leeds", "Rogers Arena", "Romney Stadium", "Hanover Theatre for the Performing Arts", "BC Place", "Peace and Friendship Stadium", "Amman International Stadium", "Staples Center", "Stockholm Olympic Stadium", "Auditorium Parco della Musica", "Vaught–Hemingway Stadium", "Veltins-Arena", "The Valley", "Estadio El Madrigal", "La Romareda", "Cotton Bowl", "North Charleston Coliseum", "New Jersey Performing Arts Center", "LDS Conference Center", "Liverpool Empire Theatre", "Orpheum Theatre", "Lyceum Theatre", "Avery Fisher Hall", "Mahalia Jackson Theater of the Performing Arts", "Stanford Stadium", "Curry Hicks Cage", "Minute Maid Park", "Miller Outdoor Theatre", "Estadio Olímpico Andrés Quintana Roo", "Orpheum Theatre", "Perth Arena", "Verizon Wireless Amphitheatre", "Football Park", "Lincoln Financial Field", "Ferrell Center", "Jay Pritzker Pavilion", "The Broadway Theatre", "Walt Disney Concert Hall", "Osceola County Stadium", "Perth Oval", "Rec Hall", "Sony Centre for the Performing Arts", "Arena do Grêmio", "Popejoy Hall", "Lyric Opera House", "Oakdale Theatre", "Stade de France", "Apollo Victoria Theatre", "Stadio Artemio Franchi – Montepaschi Arena", "I Wireless Center", "Cadillac Palace Theatre", "Rexall Centre", "FAU Stadium", "Peden Stadium", "Von Braun Center", "New I-Mobile Stadium", "Viejas Arena", "Van Andel Arena", "Kitchener Memorial Auditorium Complex", "Fox Theater", "Kampa-Halle", "Agora Theatre and Ballroom", "Loftus Road", "MTS Centre", "Vector Arena", "Ahmanson Theatre", "Ikast-Brande Arena", "Alex Box Stadium/Skip Bertman Field", "Capitol Theatre", "Cypress Mountain Ski Area", "Ferguson Center for the Arts", "Bristol Hippodrome", "Jordan–Hare Stadium", "Kingfield Stadium", "Ashton Gate Stadium", "Qemal Stafa Stadium", "Portsmouth Guildhall", "Goss Stadium at Coleman Field", "Red Bull Arena", "Wells Fargo Arena", "Izod Center", "Western Springs Stadium", "Nelson W. Wolff Municipal Stadium", "Crystal Palace National Sports Centre", "Ivor Wynne Stadium", "BMO Harris Bradley Center", "Xcel Energy Center", "Four Seasons Centre for the Performing Arts", "Huish Park", "Nippon Budokan", "Jones AT&T Stadium", "Neil Simon Theatre", "Jeld-Wen Field", "Brisbane Entertainment Centre", "Barabati Stadium", "MaxiparkArena", "Ulster Performing Arts Center", "The Gabba", "O2 Arena", "Wagner Noel Performing Arts Center", "Cambria County War Memorial Arena", "Fratton Park", "Venue Cymru", "Bill Snyder Family Football Stadium", "Anoeta Stadium", "Elliott Hall of Music", "Roxy Theatre", "Kingsmeadow", "MDCC-Arena", "Hill Auditorium", "Frank Erwin Center", "Falcon Stadium", "Memorial Stadium", "Great American Ball Park", "Fillmore Auditorium", "FIU Stadium", "The Bell Auditorium", "Minneapolis Convention Center", "Royal Theatre Carré", "Wankhede Stadium", "Comédie-Française", "FirstEnergy Stadium", "State Theatre", "Docklands Stadium", "Stade Auguste Bonal", "Peterborough Memorial Centre", "Cedar Rapids Ice Arena", "Theater des Westens", "Bord Gáis Energy Theatre", "Marina Civic Center", "Mediolanum Forum", "Bloomfield Road", "Doak Campbell Stadium", "Pershing Center", "Charles C. Hughes Stadium", "UNI-Dome", "WACA Ground", "Dolby Theatre", "Palace Theatre", "Cajundome", "Princess Theatre, Melbourne", "John E. Worthen Arena", "Sydney Cricket Ground", "CenturyLink Center", "Pauley Pavilion", "Spiroudome", "Texas Stadium", "Sandia Resort and Casino", "Memorial Stadium", "Town Hall", "Cintas Center", "Susquehanna Bank Center", "Sleep Train Pavilion", "Wales Millennium Centre", "Chester Fritz Auditorium", "Laredo Energy Arena", "Yale Bowl", "Putra Indoor Stadium", "Beijing National Aquatics Center", "Covelli Centre", "Sleep Train Arena", "Ricoh Coliseum", "Stadium Municipal", "Tynecastle Stadium", "New York City Center", "Rod Laver Arena", "Estadio Ciudad de Santiago del Estero", "Goodman Stadium", "Mosaic Place", "M&T Bank Stadium", "St David's Hall", "Aggie Stadium", "Sacramento Convention Center Complex", "Cox Convention Center", "USF Sun Dome", "Shakespeare's Globe", "Estadio José María Bértora", "Volkswagen Arena", "MassMutual Center", "WVU Coliseum", "Tucson Convention Center", "Estadio Universitario", "Orpheum", "Enmore Theatre", "Reitz Arena", "Centre Court", "Glasgow Royal Concert Hall", "Tate Rink", "Miller Park", "The Centre In Vancouver for Performing Arts", "Pacific Coliseum", "Benedum Center", "William D. Mullins Memorial Center", "Commonwealth Stadium", "Mohegan Sun Arena", "The Bank of Kentucky Center", "Giant Center", "Ewood Park", "Gerald J. Ford Stadium", "Dom Sportova", "Kiel Auditorium", "Motorpoint Arena Sheffield", "Kitchener Memorial Auditorium", "San Francisco Airport Marriott Waterfront", "St Andrew's", "Cape Town Stadium", "De Montfort Hall", "Chacarita Juniors Stadium", "Autzen Stadium", "Pharr International Convention Center", "Winnipeg Arena", "Regent Theatre", "Detroit Opera House", "Abbotsford Entertainment & Sports Centre", "Moncton Coliseum", "Bob Devaney Sports Center", "Zénith d'Orléans", "Petersen Events Center", "Heartland Events Center", "Scottrade Center", "The Florida Citrus Bowl Stadium", "Radio City Music Hall", "Coleman Coliseum", "Javelina Stadium", "Benjamin and Marian Schuster Performing Arts Center", "Huntington Center", "Palladium Ballroom", "O'Connell Center", "Allstate Arena", "Goodison Park", "Creighton Orpheum Theater", "Le Transbordeur", "Stadion im. Tadeusza Ślusarskiego", "Rhodes Stadium", "Theatre Royal, Glasgow", "Auditorio Telmex", "Estádio da Luz", "Gaylord Family Oklahoma Memorial Stadium", "Gill Coliseum", "BMO Field", "Cow Palace", "Estadio Riazor", "Point Theatre", "Raleigh Convention Center", "Nippert Stadium", "Old Trafford", "Blue Cross Arena", "Palace Theatre, Melbourne", "Griffin Park", "Tokyo Dome", "KC Stadium", "Iberostar Stadium", "EverBank Field", "University of Dayton Arena", "XL Center", "Miami Orange Bowl", "Bob Carpenter Center", "Fox Theatre", "Redondo Beach Performing Arts Center", "Ottawa Civic Centre", "Stade du Hameau", "CFSB Center", "Progressive Field", "Resch Center", "Comcast Center", "Columbus Crew Stadium", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Haas Pavilion", "Thani bin Jassim Stadium", "Freedom Hall", "Wings Stadium", "Arena di Verona", "Morton H. Meyerson Symphony Center, Dallas", "Orange County Convention Center", "Spartan Stadium", "Doak Field", "Intrust Bank Arena", "Ussishkin", "Veterans Stadium", "McDiarmid Park", "CenturyLink Field", "Toyota Park", "Bill Graham Civic Auditorium", "BI-LO Center", "Mid-America Center", "Edinburgh Playhouse", "Theatre Royal, Drury Lane", "Show Me Center", "River Center Arena", "Palace Theatre, Manchester", "Max-Schmeling-Halle", "William \"Dick\" Price Stadium", "Stade Armand Cesari", "Nuremberg Arena", "Legion Field", "Braehead Arena", "Stadion Oberwerth", "Camelback Ranch", "Mitsubishi Electric Halle", "EWE Arena", "Bartow Arena", "Somerset Park", "Rexall Place", "Cowboys Stadium", "Sam Boyd Stadium", "Olympic Stadium", "The Lighthouse", "Memorial Gymnasium", "GCS Ballpark", "Sun Devil Stadium", "Estádio Olímpico João Havelange", "Alabama Theatre", "Honda Center", "Clyde Auditorium", "United Palace Theater", "Jacksonville Veterans Memorial Arena", "Kelly/Shorts Stadium", "London Astoria", "Sudbury Community Arena", "Rimrock Auto Arena at MetraPark", "Norfolk Scope Arena", "Granada Theater", "Spartan Stadium", "Daytona International Speedway", "Shrine Auditorium", "Sleuyter Arena", "Marlins Park", "HP Pavilion at San Jose", "Yakima SunDome", "Chrysler Hall", "Citi Performing Arts Center", "Scheels Arena", "Aviva Stadium", "Schermerhorn Symphony Center", "Mountaineer Field at Milan Puskar Stadium", "Stadio Ennio Tardini", "Hokkaido Prefectural Sports Center", "Jalan Besar Stadium", "Megasport Arena", "Verizon Center", "The Arches", "Millennium Stadium", "K-Rock Centre", "War Memorial Auditorium", "Ralph Engelstad Arena", "Palacio Vistalegre", "Stadio Renato Curi", "Towson Center", "Teatro di San Carlo, Naples", "Eriksdalshallen", "Astana Arena", "Marion Palace Theatre", "PNC Arena", "Peoria Civic Center", "Millerntor-Stadion", "Tacoma Dome", "Hampton Convocation Center", "Gigantium", "Tyson Events Center", "Los Angeles Theatre", "Reliant Astrodome", "The Helix", "State Theatre", "California Memorial Stadium", "Marina Bay Sands", "Lucas Oil Stadium", "Allphones Arena", "Anhalt Arena", "Lahaina Civic Center", "Galen Center", "Ryan Field", "Rio Tinto Stadium", "Britannia Stadium", "Stadio Alberto Braglia", "Kibbie Dome", "James A. Rhodes Arena", "Eastern Kentucky Expo Center", "Cobb Energy Performing Arts Centre", "Williams Arena", "Rittal Arena Wetzlar", "Allianz Stadium", "The Orbit Room", "Yost Ice Arena", "Churchill Downs", "Budweiser Events Center", "Bell Centre", "Cumberland County Crown Coliseum", "Boone Pickens Stadium", "Auckland Civic Theatre", "Newcastle City Hall", "U.S. Cellular Field", "New York Hippodrome", "Tampereen jäähalli", "Mackay Stadium", "The Music Hall", "Byrd Stadium", "Doug Mitchell Thunderbird Sports Centre", "Riverside Stadium", "AWD-Arena", "Hammersmith Palais", "PalaLottomatica", "Juventus Stadium", "Stadium of Light", "Ross–Ade Stadium", "Camille Chamoun Sports City Stadium", "Easter Road", "Zénith de Strasbourg", "INB Performing Arts Center", "FedExForum", "Capitol Theatre, Sydney", "Arrowhead Stadium", "Odyssey Arena", "Coors Field", "Amon G. Carter Stadium", "Bridgewater Hall, Manchester", "Hinkle Fieldhouse", "Cumberland County Civic Center", "Ford Center", "Gershwin Theatre", "AFAS Stadion", "Auburn Arena", "Duluth Entertainment Convention Center", "Winthrop Coliseum", "Velodrom", "Cricket Wireless Amphitheatre", "Foreman Field", "Brown Stadium", "Antarès", "San Siro Stadium", "Webster Bank Arena", "Stroh Center", "Sparkassen-Erzgebirgsstadion", "London Velopark", "Thomas Wolfe Auditorium", "Volleyball Sportiv Complex", "Civic Arena", "Palais des congrès de Paris", "Yubileyny Sports Palace", "Ellis Park Stadium", "David A. Straz Jr. Center for the Performing Arts", "KSU Convocation Center", "Reebok Stadium", "New World Stages", "Donald L. Tucker Center", "Tampa Stadium", "BB&T Center", "John Paul Jones Arena", "Ben Hill Griffin Stadium", "Olympic Stadium", "San Jose Center For The Performing Arts", "Cheney Stadium", "Los Angeles Memorial Sports Arena", "Paul Brown Stadium", "Rose Bowl", "Redbird Arena", "Teatro Real, Madrid", "Percival Molson Memorial Stadium", "National Stadium, Bukit Jalil", "Jim Patterson Stadium", "McArthur Court", "TD Waterhouse Stadium", "Save Mart Center", "New Wimbledon Theatre", "Target Center", "Pitt Stadium", "Arena Theatre", "Headingley Stadium", "Jenny Craig Pavilion", "Hallenstadion", "Wiener Musikverein", "Thomas & Mack Center", "Stockton Arena", "Warner Theatre", "Bramall Lane", "Centennial Concert Hall, Winnipeg", "York Park", "Carrier Dome", "Nutter Center", "Mestalla Stadium", "National Theatre", "Ullevi", "Compuware Arena", "Davis Wade Stadium", "The Times Union Center", "Lynah Rink", "National Arts Centre, Ottawa", "Bronco Stadium", "Estádio do Pacaembu", "Hanns-Martin-Schleyer-Halle", "Bankers Life Fieldhouse", "Centre In The Square", "Opéra Bastille", "Papa John's Cardinal Stadium", "FedExField", "Strahan Coliseum", "İzmir Atatürk Stadium", "Gatorade Garden City Complex", "Estadio Azteca", "Al-Hamadaniah Stadium", "Boston Garden", "Racquet Club of Memphis", "American Music Theatre", "Pittodrie Stadium", "Red Star Stadium", "Breslin Student Events Center", "Go Dau Stadium", "Råsunda Stadium", "Boardwalk Hall", "Comerica Park", "Smith Center for the Performing Arts", "Peabody Auditorium", "Ryan Center", "TD Ameritrade Park Omaha", "Royal Bafokeng Stadium", "Bethel Woods Center for the Arts", "Tatran Handball Arena", "Bryant–Denny Stadium", "Don Haskins Center", "Bellerive Oval", "ShoWare Center", "Nashville Municipal Auditorium", "Teatro dell'Opera di Roma", "Melbourne Cricket Ground", "Carlson Center", "Louise M. Davies Symphony Hall", "Palladium Theater", "BJK İnönü Stadium", "Arlene Schnitzer Concert Hall, Portland", "Osaka Dome", "St. James Theatre, Wellington", "Bass Performance Hall", "Stade Geoffroy-Guichard", "Lakefront Arena", "Broome County Veterans Memorial Arena", "Estadio de Béisbol Monterrey", "Conexus Arts Centre", "Elispace", "Alpine Valley Music Theatre", "ABB Arena Syd", "Donbass Arena", "Donau Arena", "St James' Park", "Ordway Center for the Performing Arts", "Nya Parken", "National Concert Hall, Dublin", "Winspear Opera House, Dallas", "Stechert Arena", "Tannadice Park", "Credit Union Centre", "Mercedes-Benz Superdome", "Mayo Civic Center", "Rialto Theatre", "Seminole Hard Rock Hotel and Casino Hollywood", "Lambeau Field", "László Papp Budapest Sports Arena", "Riverside Theater", "Waterfront Hall", "Falkirk Stadium", "Surprise Stadium", "White Hart Lane", "King Power Stadium", "Tulalip Resort Casino", "Town Toyota Center", "RCA Dome", "Miami Arena", "Event Center Arena", "Aberystwyth Arts Centre", "Alfond Arena", "Salvus-Stadion am Grevener Damm", "Gillette Stadium", "The Home Depot Center", "Five Flags Center", "Adelphi Theatre", "Underhill Stadium", "Raymond James Stadium", "Tokyo Dome City", "Metro Radio Arena", "Red Rocks Amphitheatre", "Stuart C. Siegel Center", "Ed Mirvish Theatre", "Holt Arena", "Oriole Park at Camden Yards", "Dahlberg Arena", "American Bank Center", "Tampa Bay Times Forum", "Bramlage Coliseum", "Cole Field House", "Ebbets Field", "Mackey Arena", "Krannert Center for the Performing Arts", "Manchester Opera House", "Harris Theater", "UFCU Disch–Falk Field", "Prudential Center", "State Farm Center", "Jiffy Lube Live", "The Den", "Allianz Arena", "Washington–Grizzly Stadium", "Sonny Lubick Field at Hughes Stadium", "The Lowry", "Arlington Stadium", "Androscoggin Bank Colisée", "Cleveland Stadium", "Swayze Field", "Fox Theater Pomona", "Sawyer Center", "National Ice Centre", "Soldier Field", "Cliffs Pavilion", "Community Arts Center", "Victoria Hall, Hanley", "Curb Event Center", "Stadion An der Alten Försterei", "United Spirit Arena", "The Sage Gateshead", "Hearst Greek Theatre", "Richmond Coliseum", "Vienna State Opera", "Allen Fieldhouse", "Sleeman Centre", "Sears Centre Arena", "Toyota Center", "SIU Arena", "LP Field", "Brooklyn Academy of Music", "Princess Theatre, Torquay", "Marriott Center", "LaVell Edwards Stadium", "First Niagara Center", "AT&T Performing Arts Center", "East End Park", "Estadio De Béisbol Héctor Espino", "Bushnell Center for the Performing Arts", "De Grolsch Veste", "Perth Concert Hall", "Foxboro Stadium", "Principal Park", "Cobo Center", "Metropolitan Opera House", "Patriot Center", "Stadium Australia", "D.C. Armory", "Lyric Theatre, Sydney", "The Hawthorns", "Smart Araneta Coliseum", "Durham Performing Arts Center", "Stadion der Freundschaft", "Nelson Mandela Bay Stadium", "Munn Ice Arena", "Salle Wilfrid-Pelletier, Montreal", "Manchester Central Convention Complex", "Chesapeake Energy Arena", "Celebrity Theatre", "DakotaDome", "Shea's Performing Arts Center", "U.S. Cellular Arena", "BOK Center", "Sheikh Khalifa International Stadium", "Admiralspalast", "Scotiabank Saddledome", "Carver–Hawkeye Arena", "World Arena, Colorado Springs", "Kauffman Center for the Performing Arts", "Dominion Theatre", "Cruzan Amphitheatre", "Orpheum Theatre", "Commonwealth Stadium", "Regent Theatre", "Kölner Philharmonie", "Vikings Stadium", "Penydarren Park", "The Pavilion", "Nokia Theatre L.A. Live", "Wolstein Center", "Philips Arena", "Methodist Central Hall Westminster", "Copps Coliseum", "Selhurst Park", "Deva Stadium", "Rangers Ballpark in Arlington", "Toyota Stadium", "Colston Hall", "Folsom Field", "Estadio Racing Club", "Futurist Theatre", "Robertson Stadium", "Bright House Networks Stadium", "Uptown Theater", "Air Canada Centre", "Şükrü Saracoğlu Stadium", "Worthington Arena", "Keller Auditorium", "Wembley Stadium", "Alex G. Spanos Center", "American Airlines Arena", "UNF Arena", "Princess of Wales Theatre", "Western Hall", "Viaero Event Center", "Firhill Stadium", "Arizona Stadium", "Aronoff Center", "Tulane Stadium", "Forrest Theatre", "The Pit", "BancorpSouth Arena", "New Amsterdam Theatre", "Harbour Station", "Chaifetz Arena", "MetLife Stadium", "De Doelen", "Hancock Stadium", "Oslo Spektrum", "Estadio Nuevo Los Cármenes", "CenturyLink Center Omaha", "AWD Hall", "Bondi Beach", "E. A. Diddle Arena", "Palace Theatre", "Lone Star Amphitheater", "Jazz at Lincoln Center", "Bridgeforth Stadium and Zane Showker Field", "Manchester Central Convention Complex", "ENMAX Centre", "Carnesecca Arena", "Nationals Park", "Boleyn Ground", "Whistler Sliding Centre", "Capitol Theatre", "Olympic Stadium Munich", "Hobby Center for the Performing Arts", "Cícero Pompeu de Toledo Stadium", "DTE Energy Music Theatre", "Centennial Stadium", "United Center", "Suheim Bin Hamad Stadium", "Roanoke Civic Center", "Eintracht-Stadion" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 118000600, "question": "which venues can seat at least 1417 people?", "answer": [ "Reno Events Center", "United Spirit Arena", "Deltaplex Arena & Conference Center", "Bob Carpenter Center", "Gaylord Family Oklahoma Memorial Stadium", "Dow Event Center", "Stechert Arena", "McCoy Stadium", "Saratoga Performing Arts Center", "Glasgow Royal Concert Hall", "Methodist Central Hall Westminster", "Yubileyny Sports Palace", "TSB Bank Arena", "Ford Field", "Esplanade - Theatres on the Bay, Singapore", "National Indoor Arena", "Gachibowli Athletic Stadium", "Allen Fieldhouse", "Stade Marcel Picot", "U.S. Cellular Coliseum", "Sleep Train Pavilion", "I Wireless Center", "Pavilion Theatre", "EverBank Field", "Edmund P. Joyce Center", "Ahmanson Theatre", "The O2 Arena", "Stadium Municipal", "Williams Arena", "Frederiksberghallen", "Commonwealth Stadium", "Wankhede Stadium", "Olympia Ice Center", "Paramount Theatre", "Salem Civic Center", "Shrine Auditorium", "CenturyLink Center Omaha", "Ohio Stadium", "Nelson Mandela Bay Stadium", "Manchester Arena", "Princess of Wales Theatre", "Sleuyter Arena", "E Werk", "Mahalia Jackson Theater of the Performing Arts", "Stadio Giovanni Zini", "Durham County Stadium", "Bristol Hippodrome", "Yale Bowl", "Mohegan Sun Arena at Casey Plaza", "Cumberland County Civic Center", "O2 Arena", "Estádio do Bessa", "FAU Stadium", "WesBanco Arena", "Imperial Theatre", "Kress Events Center", "Bridgeforth Stadium and Zane Showker Field", "Sleeman Centre", "Kinnick Stadium", "The Joint", "Foro Sol", "U.S. Cellular Arena", "Max-Schmeling-Halle", "Churchill Downs", "Wolverhampton Civic Hall", "New World Stages", "Yankee Stadium", "Stamford Bridge", "Stade du Moustoir", "Atletion", "Chicago Theatre", "Kingsmeadow", "Utica Memorial Auditorium", "Colston Hall", "Meadow Park", "Vancouver Forum", "Uptown Theater", "Roberts Municipal Stadium", "Heinz Field", "Ice Palace \"Ural Lightning\"", "Safeco Field", "Eisarena Salzburg", "Detroit Opera House", "Rimrock Auto Arena at MetraPark", "The Valley", "Estádio do Maracanã", "Elispace", "Comcast Center", "Mosaic Place", "Galen Center", "Tynecastle Stadium", "Bob Devaney Sports Center", "Benjamin and Marian Schuster Performing Arts Center", "Brighton Centre", "Foxboro Stadium", "The Centre In Vancouver for Performing Arts", "Fir Park", "Amway Arena", "American Airlines Center", "Jalan Besar Stadium", "Rentschler Field", "Tyson Events Center", "The Orbit Room", "Royal Festival Hall", "Cintas Center", "Papa John's Cardinal Stadium", "Gerry Weber Stadion", "Dorton Arena", "Daytona International Speedway", "Rhein-Neckar Arena", "McKenzie Arena", "Hollywood Bowl", "Donau Arena", "Twickenham Stoop", "Stadio delle Alpi", "Millerntor-Stadion", "Hearst Greek Theatre", "Elliott Hall of Music", "Bud Walton Arena", "Sparkassen-Erzgebirgsstadion", "Harry A. Gampel Pavilion", "Mizzou Arena", "Motorpoint Arena Sheffield", "Benedum Center", "Brooklyn Academy of Music", "Western Springs Stadium", "O'Connell Center", "1stBank Center", "Angel Stadium of Anaheim", "Symphony Hall, Birmingham", "Sunderland Empire Theatre", "Proctors", "Royal Melbourne Showgrounds", "Cox Convention Center", "FedExForum", "Ottawa Auditorium", "Jordan–Hare Stadium", "OlympiaWorld Innsbruck", "University of Phoenix Stadium", "Event Center Arena", "Olympic Stadium", "The Coronet", "Los Angeles Memorial Sports Arena", "Stadium of Light", "Worthington Arena", "Grand Lake Theater", "Orpheum", "Spartak Stadium", "Summum", "İzmir Atatürk Stadium", "Valley View Casino Center", "UIC Pavilion", "Thomas & Mack Center", "Haas Pavilion", "Dean Smith Center", "Theatre Royal, Glasgow", "Beijing National Stadium", "High Point Solutions Stadium", "The Helix", "Estadio Azteca", "Shoreline Amphitheatre", "Jones AT&T Stadium", "Calihan Hall", "Festival Hall", "Arena Nova", "North Harbour Stadium", "De Montfort Hall", "UCF Arena", "Falkirk Stadium", "London Velopark", "Red Rocks Amphitheatre", "Alaska Airlines Arena at Hec Edmundson Pavilion", "Harbour Station", "Allphones Arena", "Los Angeles Memorial Coliseum", "Perth Oval", "Strahan Coliseum", "Cadillac Palace Theatre", "Joseph P. Riley, Jr. Park", "Ajinomoto Stadium", "Empire, Leicester Square", "Goss Stadium at Coleman Field", "Red Star Stadium", "Ferguson Center for the Arts", "Regent Theatre", "Estadi Olímpic Lluís Companys", "Twickenham Stadium", "Verizon Center", "O2 World", "John Paul Jones Arena", "Camille Chamoun Sports City Stadium", "Kelly/Shorts Stadium", "Amsterdam Arena", "Jon M. Huntsman Center", "Petco Park", "Teatro Real, Madrid", "Maples Pavilion", "St Andrew's", "U.S. Cellular Center", "Fifth Third Arena", "Coors Events Center", "Boston Garden", "Shakespeare's Globe", "Congress Theater", "Reitz Arena", "London Astoria", "Verizon Arena", "Jobing.com Arena", "DakotaDome", "Roundhouse", "Aggie Stadium", "Olympic Stadium Munich", "New York Hippodrome", "KFC Yum! Center", "UFCU Disch–Falk Field", "Achilles Rink", "Consol Energy Center", "Dee Events Center", "London Coliseum", "Eintracht-Stadion", "Miami Beach Convention Center", "Massey Hall", "M&T Bank Stadium", "Wiener Stadthalle Hall D", "Lane Stadium", "Estadi Ciutat de València", "Mile High Stadium", "Singapore Indoor Stadium", "Nutter Center", "Kezar Stadium", "Abbotsford Entertainment & Sports Centre", "Comcast Arena", "Victoria Hall, Hanley", "Bramall Lane", "Murrayfield Ice Rink", "Cam Henderson Center", "Eastman Theatre", "Roxy Theatre", "William \"Dick\" Price Stadium", "Krannert Center for the Performing Arts", "Stade de Gerland", "Arsenal Stadium", "Weserstadion", "Lansdowne Road", "Pittodrie Stadium", "Estadio Racing Club", "Kibbie Dome", "Preußenstadion", "San Siro Stadium", "Cape Town Stadium", "Qualcomm Stadium", "Le Transbordeur", "Verizon Wireless Amphitheatre", "American Airlines Arena", "Chiles Center", "The Florida Citrus Bowl Stadium", "Bord Gáis Energy Theatre", "Love Street", "Budweiser Gardens", "TCF Bank Stadium", "Brown Stadium", "Redondo Beach Performing Arts Center", "Arena at Gwinnett Center", "Lincoln Financial Field", "Akoo Theatre at Rosemont", "Peter Mokaba Stadium", "Save Mart Center", "General Motors Centre", "Chrysler Hall", "Sports Authority Field at Mile High", "Hult Center for the Performing Arts", "Rogers Arena", "Villa Park", "Nelson W. Wolff Municipal Stadium", "Gold Coast Convention and Exhibition Centre", "State Theatre", "Bahrain National Stadium", "Wales Millennium Centre", "Chesapeake Energy Arena", "Kitchener Memorial Auditorium", "Laredo Energy Arena", "Von Braun Center", "Hi Corbett Field", "Canad Inns Stadium", "Newcastle City Hall", "New Jersey Performing Arts Center", "Kay Bailey Hutchison Convention Center", "Stade de la Mosson", "Princess Theatre, Melbourne", "EnergyAustralia Stadium", "Wellmont Theatre", "Tennessee Theatre", "Medicine Hat Arena", "Eisstadion Weißwasser", "Pan American Center", "Orpheum Theatre", "Niaz Stadium", "Victoria Palace Theatre", "Denver Coliseum", "Skelly Field at H. A. Chapman Stadium", "DTE Energy Music Theatre", "Citizens Business Bank Arena", "Sadler's Wells Theatre", "TipsArena", "Emirates Stadium", "Edward Jones Dome", "Ivor Wynne Stadium", "Osceola County Stadium", "Indiana University Auditorium", "Marin County Civic Center", "Her Majesty's Theatre, Melbourne", "Marriott Center", "Oriole Park at Camden Yards", "Saban Theatre", "Robertson Stadium", "Family Arena", "Fox Theater Pomona", "Flens-Arena", "Kimmel Arena", "Conexus Arts Centre", "Estádio Vila Capanema", "Eriksdalshallen", "Buck Shaw Stadium", "Phoenix Municipal Stadium", "San Diego Civic Theatre", "Fox Theater", "New Wimbledon Theatre", "Crystal Cathedral", "Gillette Stadium", "Austin Convention Center", "Dowdy–Ficklen Stadium", "Adler Theatre", "Mile One Centre", "The Pit", "Mosaic Stadium at Taylor Field", "World Arena, Colorado Springs", "Lord's Cricket Ground", "Rabobank Arena", "Target Center", "Frankfurter Volksbank Stadion", "Whistler Olympic Park", "Rangers Ballpark in Arlington", "Four Seasons Centre for the Performing Arts", "Estádio Olímpico João Havelange", "Memorial Stadium, Clemson", "Mackey Arena", "Stockholm Olympic Stadium", "Alabama Theatre", "Marquis Theatre", "Louis Brown Athletic Center", "Cricket Wireless Amphitheatre", "Bank of America Stadium", "Kenan Memorial Stadium", "San Jose Center For The Performing Arts", "Antarès", "Owensboro Sports Center", "Stroh Center", "Majestic Theatre", "Palace Theatre, Melbourne", "Blue Cross Arena", "BancorpSouth Arena", "Stadio Artemio Franchi – Montepaschi Arena", "Molineux Stadium", "Stade Francis-Le Blé", "Independence Events Center", "Liberty Bank Stadium", "Rialto Square Theatre", "Autzen Stadium", "Peoria Civic Center", "Save-On-Foods Memorial Centre", "Luis Conde Arena", "Palace Theatre", "Halifax Metro Centre", "Princeton University Stadium", "Hilton Coliseum", "Intrust Bank Arena", "Perth Arena", "Clyde Auditorium", "Symphony Hall", "Cajun Field", "Brandt Centre", "CenturyLink Center", "Red Bull Arena", "Point Theatre", "Pitt Stadium", "Yankee Stadium", "TD Ameritrade Park Omaha", "Walt Disney Concert Hall", "Hallenstadion", "Auditorium Parco della Musica", "Raymond James Stadium", "Coface Arena", "Hillsborough Stadium", "The Time Warner Cable Arena", "Soldier Field", "Dodger Stadium", "Boone Pickens Stadium", "First Arena", "The Arches", "Canberra Stadium", "Stade Geoffroy-Guichard", "Hampden Park", "Viaero Event Center", "RiverCenter for the Performing Arts", "Memorial Gymnasium", "Sleep Train Arena", "Ford Center", "Coronado Performing Arts Center", "Palaran Stadium", "Alex Box Stadium/Skip Bertman Field", "BOK Center", "Georgia Dome", "Marina Bay Sands", "O2 Academy Glasgow", "Breslin Student Events Center", "Matthews Arena", "Palestra", "Convocation Center", "John E. Worthen Arena", "Savoy Cinema", "Ricoh Arena", "KeyArena", "Lone Star Amphitheater", "Estadio De Béisbol Héctor Espino", "Stadium Australia", "Cole Field House", "Gallagher-Iba Arena", "Packard Stadium", "Palais Garnier", "Thebarton Theatre", "Elland Road", "BJK İnönü Stadium", "D.C. Armory", "Hammersmith Palais", "Stadion An der Alten Försterei", "Aberystwyth Arts Centre", "The Louisville Palace", "Calvin Gilmore Theater", "Lynah Rink", "Arrowhead Stadium", "Wells Fargo Arena", "Sullivan Arena", "Stan Sheriff Center", "Gersten Pavilion", "Hill Auditorium", "Wolstein Center", "John F. Kennedy Stadium", "Lanxess Arena", "Winspear Opera House, Dallas", "Veterans Stadium", "Aggie Stadium", "Enmore Theatre", "Cowboys Stadium", "Ems-Hölle", "Husky Stadium", "Izod Center", "Los Angeles Theatre", "St David's Hall", "Metalist Oblast Sports Complex", "Goodison Park", "BMO Harris Bank Center", "Pennsylvania Convention Center", "Alfond Arena", "Donbass Arena", "Soccer City", "Giant Center", "Bill Graham Civic Auditorium", "Coors Field", "Westpac Stadium", "Nya Parken", "Teatro di San Carlo, Naples", "Tampa Bay Times Forum", "UNI-Dome", "Futurist Theatre", "Embassy Theatre", "Seminole Hard Rock Hotel and Casino Hollywood", "Vaught–Hemingway Stadium", "Pabellón Polideportivo Artaleku", "Curry Hicks Cage", "Metro Radio Arena", "SIU Arena", "Sun Bowl Stadium", "Old Trafford", "Marlins Park", "FC Dallas Stadium", "Daniel–Meyer Coliseum", "Tampa Stadium", "Tacoma Dome", "BMO Harris Bradley Center", "Aviva Stadium", "Lambeau Field", "Sleep Train Amphitheatre", "Bellerive Oval", "London Palladium", "Bojangles' Coliseum", "DCU Center", "Nassau Veterans Memorial Coliseum", "Admiralspalast", "Ponds Forge International Sports Centre", "Faurot Field", "AT&T Park", "East Fremantle Oval", "Hinkle Fieldhouse", "Subiaco Oval", "Maple Leaf Gardens", "The Egg", "Goodman Stadium", "Nuremberg Arena", "E. A. Diddle Arena", "Target Field", "David A. Straz Jr. Center for the Performing Arts", "Rexall Place", "San Francisco Airport Marriott Waterfront", "Kölner Philharmonie", "Ewood Park", "Matthew Knight Arena", "Stade de France", "MTS Centre", "Ordway Center for the Performing Arts", "König Pilsener Arena", "Rogers Centre", "Chase Field", "Waldo Stadium", "Thomas Wolfe Auditorium", "Peace and Friendship Stadium", "Washington Avenue Armory", "Miller Park", "William D. Mullins Memorial Center", "Lawlor Events Center", "Carver–Hawkeye Arena", "Sonny Lubick Field at Hughes Stadium", "Paul Brown Stadium", "Sydney Opera House", "Carlson Center", "Philips Stadion", "US Airways Center", "Agora Theatre and Ballroom", "Welsh-Ryan Arena", "Independence Stadium", "Shea's Performing Arts Center", "Palais des congrès de Paris", "Westfalenstadion", "Miller Outdoor Theatre", "Celebrity Theatre", "Huntington Avenue Grounds", "Rittal Arena Wetzlar", "Ikast-Brande Arena", "Swedbank Stadion", "PPL Park", "MaxiparkArena", "Richmond Olympic Oval", "Spreckels Theater", "Broward Center for the Performing Arts", "Cruzan Amphitheatre", "Charles Koch Arena", "Firhill Stadium", "Wembley Stadium", "Clark–LeClair Stadium", "Frost Arena", "Wells Fargo Center", "Apollo Victoria Theatre", "Anoeta Stadium", "Stadio Antonio Bianco", "McArthur Court", "Rio Tinto Stadium", "Assembly Hall", "Patriot Center", "Royal Opera House, London", "Olympic Stadium", "The Oval", "Taco Bell Arena", "Roanoke Civic Center", "Sanford Stadium", "Palacio Vistalegre", "Wicomico Youth and Civic Center", "Littlejohn Coliseum", "RCA Dome", "Salvus-Stadion am Grevener Damm", "Auburn Arena", "Androscoggin Bank Colisée", "Landmark Theatre", "Mayo Civic Center", "Concertgebouw, Amsterdam", "Racquet Club of Memphis", "Salt Lake Stadium", "Verizon Wireless Amphitheater", "Greensboro Coliseum Complex", "Fatorda Stadium", "Chester Fritz Auditorium", "Pioneer Center for the Performing Arts", "Jay Pritzker Pavilion", "Sony Centre for the Performing Arts", "Pacific Coliseum", "Manchester Central Convention Complex", "Knoxville Civic Auditorium and Coliseum", "Town Toyota Center", "Avery Fisher Hall", "Congress Theatre", "Estádio José Alvalade", "Stabler Arena", "Riverside Stadium", "Doak Field", "Winthrop Coliseum", "Philips Arena", "Giants Stadium", "Dvorana Mirza Delibašić", "Palladium Ballroom", "Ottawa Civic Centre", "Conte Forum", "Town Hall", "Cow Palace", "Community Arts Center", "Hobby Center for the Performing Arts", "Regent Theatre, Melbourne", "Vicente Calderón Stadium", "Floyd Casey Stadium", "Barabati Stadium", "Şükrü Saracoğlu Stadium", "Gachibowli Indoor Stadium", "Robina Stadium", "Camp Nou", "National Hockey Stadium", "Uptown Theatre", "Selhurst Park", "Mediolanum Forum", "Croke Park", "Birmingham Hippodrome", "Princess Theatre, Torquay", "Cannon Center-Performing Arts", "XL Center", "Morris Performing Arts Center", "Michie Stadium", "LP Field", "Nikon at Jones Beach Theater", "Shanghai Stadium", "Headingley Stadium", "BMO Field", "TD Waterhouse Stadium", "Civic Arena", "Hard Rock Hotel and Casino", "Al-Hamadaniah Stadium", "Anaheim Convention Center", "Cameron Indoor Stadium", "Alex G. Spanos Center", "Regent Theatre", "Huntington Center", "Sanford Center", "Bill Snyder Family Football Stadium", "Martin Stadium", "Vector Arena", "Madejski Stadium", "Ryan Center", "Central Park, Cowdenbeath", "Fargodome", "Redbird Arena", "Robinson Center, Little Rock", "Foreman Field", "St. Augustine Amphitheatre", "Ninian Park", "University at Buffalo Stadium", "Gayfield Park", "Manchester Opera House", "Reliant Stadium", "Sydney Entertainment Centre", "Cumberland County Crown Coliseum", "Carnie Smith Stadium", "MetLife Stadium", "Echo Arena Liverpool", "Ellis Park Stadium", "Teatro degli Arcimboldi", "Don Haskins Center", "Pete Maravich Assembly Center", "Ottawa Convention Centre", "Peabody Opera House", "Duluth Entertainment Convention Center", "Capitol Theatre", "Knapp Center", "Charles E. Smith Athletic Center", "Comanche County Fairgrounds", "King's Theatre, Glasgow", "Richard E. Berry Educational Support Center", "Jack Trice Stadium", "Orange County Convention Center", "Fox Theatre", "Canton Memorial Civic Center", "Sears Centre Arena", "Edgbaston Cricket Ground", "Griffin Park", "Grand Olympic Auditorium", "KSU Convocation Center", "Stadio Renato Dall'Ara", "New I-Mobile Stadium", "Doug Mitchell Thunderbird Sports Centre", "Kauffman Center for the Performing Arts", "Ryan Field", "New Amsterdam Theatre", "Williams-Brice Stadium", "Kiel Auditorium", "Orpheum Theatre", "Allen County War Memorial Coliseum", "Maui Arts & Cultural Center", "Edinburgh Playhouse", "Scandinavium", "Comerica Park", "Estadio Universitario", "Lahaina Civic Center", "Fratton Park", "Winter Gardens, Blackpool", "Raleigh Convention Center", "Value City Arena at the Jerome Schottenstein Center", "Allen Event Center", "Harvard Stadium", "Rialto Theatre", "Dahlberg Arena", "Beijing National Aquatics Center", "Palace Theatre, Manchester", "Reynolds Coliseum", "Bloomfield Road", "Xcel Energy Center", "Türk Telekom Arena", "Warner Theatre", "Hofburg Palace", "Bass Performance Hall", "Yakima SunDome", "Toyota Park", "Estadio Nuevo Los Cármenes", "Charline McCombs Empire Theatre", "Loftus Road", "Red Rock Resort Spa and Casino", "WVU Coliseum", "Scott Stadium", "Pauley Pavilion", "Estadio Ciudad de La Plata", "Nippon Budokan", "Orpheum Theatre", "The Centre", "Fox Theatre", "El Sadar Stadium", "American Bank Center", "Yokohama Arena", "Royal Bafokeng Stadium", "Jenny Craig Pavilion", "Kidd Brewer Stadium", "Underhill Stadium", "Stanford Stadium", "Campo de Fútbol de Vallecas", "Asim Ferhatović Hase Stadium", "CenturyLink Field", "Eastern Kentucky Expo Center", "Dolby Theatre", "The Broadway Theatre", "Lyceum Theatre", "De Grolsch Veste", "Moses Mabhida Stadium", "Estadio Ciudad de Santiago del Estero", "St. James Theatre, Wellington", "EWE Arena", "Stade Vélodrome", "Estadio José María Bértora", "Carrara Stadium", "Radio City Music Hall", "ARCO Arena I", "Golden Gate Theatre", "Rupp Arena", "Adelphi Theatre", "Braly Municipal Stadium", "Millennium Stadium", "BB&T Center", "Estádio da Luz", "Sawyer Center", "Grugahalle", "Morton H. Meyerson Symphony Center, Dallas", "Theatre Royal, Drury Lane", "Copps Coliseum", "Petersen Events Center", "Cajundome", "Whittemore Center", "Cliffs Pavilion", "Bright House Networks Stadium", "Vicarage Road", "Alamodome", "Auditorio Telmex", "Charleston Civic Center", "Goggin Ice Arena", "Wings Stadium", "HoHoKam Stadium", "Melbourne Multi Purpose Venue", "Usher Hall, Edinburgh", "Pharr International Convention Center", "Liberty Stadium", "Beethovenhalle", "Washington–Grizzly Stadium", "Városi Sportcsarnok", "Oakdale Theatre", "Boston Opera House", "Byrd Stadium", "The Times Union Center", "Bobcat Stadium", "The Hawthorns", "Toyota Stadium", "Busch Memorial Stadium", "Dale F. Halton Arena", "Kombank Arena", "Wagner Noel Performing Arts Center", "Waterfront Hall", "Liberty Bowl Memorial Stadium", "Tad Smith Coliseum", "Peden Stadium", "Beaver Stadium", "Braehead Arena", "Carter Barron Amphitheatre", "Soldiers and Sailors Memorial Auditorium", "Academy of Music", "McMahon Stadium", "Lakewood Church Central Campus", "Cobo Center", "TD Bank Garden", "Gershwin Theatre", "Al Hirschfeld Theatre", "La Romareda", "Covelli Centre", "Tiger Stadium", "Citi Field", "Rugby Park", "Stadthalle Graz", "New Theatre Oxford", "Thompson–Boling Arena", "Coliseum Alfonso Pérez", "Tonhalle", "Bryant–Denny Stadium", "Spiroudome", "Frank Erwin Center", "Chaifetz Arena", "Tate Rink", "National Arts Centre, Ottawa", "Stadio Olimpico", "Gaiety Theatre, Dublin", "Minskoff Theatre", "Royal Theatre Carré", "Bridgewater Hall, Manchester", "Dunkin' Donuts Center", "Loftus Versfeld Stadium", "Sandia Resort and Casino", "War Memorial Stadium", "Wembley Arena", "Richmond Coliseum", "Swayze Field", "Hanns-Martin-Schleyer-Halle", "Columbiahalle", "Wells Fargo Arena", "Silverdome", "W. L. Zorn Arena", "Oslo Opera House", "Olympic Stadium", "Vancouver Convention Centre", "Great American Ball Park", "Drayton McLane Baseball Stadium at John H. Kobs Field", "Tad Gormley Stadium", "Smith Center for the Performing Arts", "Palace Theatre", "Råsunda Stadium", "AWD Hall", "Theodoros Kolokotronis Stadium", "Kemper Arena", "Gigantium", "State Theatre", "Pepsi Center", "Allstate Arena", "Olsen Field at Blue Bell Park", "Royal Agricultural Hall", "Melching Field at Conrad Park", "Mage Solar Stadion", "Legion Field", "The Lighthouse", "Reser Stadium", "Olympia Bruno Coquatrix", "Glens Falls Civic Center", "Shea Stadium", "Anhalt Arena", "Expo Square Pavilion", "Carnesecca Arena", "EnergySolutions Arena", "Stadion im. Tadeusza Ślusarskiego", "Hershey Centre", "Chacarita Juniors Stadium", "California Memorial Stadium", "Qemal Stafa Stadium", "Liacouras Center", "USF Sun Dome", "Pauley Pavilion", "HR Commitment Arena", "Riverside Theater", "Pensacola Civic Center", "Gaillard Municipal Auditorium", "AFAS Stadion", "Toyota Center", "Esprit Arena", "Parc des Sports", "Rexall Centre", "Reliant Astrodome", "Stadion der Freundschaft", "Rec Hall", "Nokia Theatre L.A. Live", "St James' Park", "Marion Palace Theatre", "O2 World", "The Sage Gateshead", "Morrison Center", "Mississippi Coliseum", "Andrew Jackson Hall", "Shotwell Stadium", "Osaka Dome", "INB Performing Arts Center", "Kingfield Stadium", "Zénith d'Orléans", "Winnipeg Arena", "Brisbane Entertainment Centre", "Wortham Theater Center", "JQH Arena", "Go Dau Stadium", "Percival Molson Memorial Stadium", "Kauffman Stadium", "National Aquatic Centre", "Ted Constant Convocation Center", "Rice-Eccles Stadium", "Peterborough Memorial Centre", "Tatran Handball Arena", "River Center Arena", "Freedom Hall", "HMV Forum", "Motorpoint Arena Cardiff", "Veterans Memorial Auditorium", "Cícero Pompeu de Toledo Stadium", "Al-Aqsa Mosque", "ABB Arena Syd", "The Dome Leisure Centre", "PNC Arena", "Tower Theater", "The Fillmore Detroit", "Glücksgas Stadium", "Sydney Cricket Ground", "Portsmouth Guildhall", "Santiago Bernabéu Stadium", "Alumni Stadium", "Maverick Baseball Stadium", "The Forum", "Estadio Monumental Antonio Vespucio Liberti", "Tokyo Dome", "Apollo Theater", "Peabody Auditorium", "Scotiabank Saddledome", "Nashville Municipal Auditorium", "BayArena", "Ed Mirvish Theatre", "Comédie-Française", "Lander's Center", "Scheels Arena", "Wang Theatre", "New Orleans Arena", "Nationwide Arena", "Newcastle Entertainment Centre", "Staples Center", "Megasport Arena", "Ralph Wilson Stadium", "Donald L. Tucker Center", "Citizens Bank Park", "AWD-Arena", "Charlotte Coliseum", "Odyssey Arena", "Jeld-Wen Field", "Estadio Tetelo Vargas", "Astana Arena", "Moody Coliseum", "Memorial Stadium", "Pellissier Building and Wiltern Theatre", "Cobb Energy Performing Arts Centre", "Lunt-Fontanne Theatre", "Comcast Center", "Robins Center", "FirstEnergy Stadium", "Notre Dame Stadium", "Huish Park", "Zenith Arena", "Ralph Engelstad Arena", "Lotto Arena", "Turner Field", "U.S. Bank Arena", "Swedbank Park", "Lloyd Noble Center", "War Memorial Auditorium", "Chavez Theatre", "Budweiser Events Center", "Volkswagen Arena", "Citi Performing Arts Center", "State Farm Center", "Memorial Stadium, Lincoln", "Estadio Olímpico Andrés Quintana Roo", "Minute Maid Park", "Palais des Sports", "Aloha Stadium", "Susquehanna Bank Center", "Oslo Spektrum", "Wallace Wade Stadium", "Count Basie Theatre", "Kitchener Memorial Auditorium Complex", "Hammerstein Ballroom", "Cypress Mountain Ski Area", "Hofheinz Pavilion", "Western Hall", "Popejoy Hall", "Fife Ice Arena", "Majestic Theater", "Birmingham–Jefferson Convention Complex", "Reebok Stadium", "McDiarmid Park", "Rose Bowl", "GCS Ballpark", "Arena do Grêmio", "Camelback Ranch", "Creighton Orpheum Theater", "Tropicana Field", "Germain Arena", "War Memorial Stadium", "Belmore Sports Ground", "Ethias Arena", "Palladium Theater", "Teatro Colón, Buenos Aires", "Orpheum Theatre", "Juventus Stadium", "Estadio Julio Humberto Grondona", "Big Sandy Superstore Arena", "Balaídos", "Schermerhorn Symphony Center", "Columbus Crew Stadium", "Arlington Stadium", "Celtic Park", "Lyric Theatre, Sydney", "Stockton Arena", "Stadio Olimpico di Torino", "The O2", "PalaLottomatica", "Sacramento Convention Center Complex", "Veterans Memorial Coliseum", "PNC Park", "Keller Auditorium", "Tokyo Dome City", "Cambria County War Memorial Arena", "The Den", "The Pavilion", "Alerus Center", "Theater des Westens", "Thani bin Jassim Stadium", "The Whiting", "White Hart Lane", "Candlestick Park", "Majestic Theatre", "Show Me Center", "Volleyball Sportiv Complex", "Tulane Stadium", "PNC Bank Arts Center", "Oracle Arena", "Polideportivo Islas Malvinas", "Verizon Wireless Arena", "Sports Ground, Woodbridge Road, Guildford", "Victoria Theatre", "Football Park", "Iberostar Stadium", "1st Mariner Arena", "Foxwoods Theatre", "Ullevi", "Joe Louis Arena", "Tucson Convention Center", "Tannadice Park", "Harris Theater", "Teatro alla Scala", "Britannia Stadium", "Eden Park", "Kungliga tennishallen", "Bartow Arena", "Zénith de Strasbourg", "Alabama Theatre", "Memorial Stadium", "Amway Center", "UNF Arena", "Carrier Dome", "Regent Theatre, Dunedin", "KC Stadium", "Gerald J. Ford Stadium", "Amon G. Carter Stadium", "Bryce Jordan Center", "Edinburgh Festival Theatre", "Hokkaido Prefectural Sports Center", "Granada Theater", "Faliro Coastal Zone Olympic Complex", "Donald W. Reynolds Razorback Stadium", "James A. Rhodes Arena", "Chicago Stadium", "Municipal Auditorium", "Alamo Stadium", "Cedar Park Center", "Salle Wilfrid-Pelletier, Montreal", "Viejas Arena", "Norva Theatre", "Hagan Arena", "Arena di Verona", "Nippert Stadium", "The Shay", "McKale Center", "Progressive Field", "Stadthalle Hagen", "Dom Sportova", "Saitama Super Arena", "Auckland Civic Theatre", "Vienna State Opera", "Centre In The Square", "Manchester Central Convention Complex", "Palau d'Esports de Granollers", "Ralph Engelstad Arena", "Bobby Dodd Stadium", "Memorial Stadium", "National Ice Centre", "Sioux Falls Arena", "Spartan Stadium", "Arlene Schnitzer Concert Hall, Portland", "AT&T Center", "Broome County Veterans Memorial Arena", "Lawson Arena", "Adelaide Oval", "Taft Theatre", "United Palace Theater", "Grand Ole Opry", "Kyle Field", "University of Dayton Arena", "The Palace of Auburn Hills", "Curb Event Center", "Zellerbach Hall", "Tilles Center for the Performing Arts", "Stade Armand Cesari", "Crystal Palace National Sports Centre", "The Bank of Kentucky Center", "Yost Ice Arena", "Arena Theatre", "York Park", "Estadio Alberto J. Armando", "CFSB Center", "Cassell Coliseum", "Easter Road", "Commonwealth Stadium", "Estadio José Jorge Conte", "GelreDome", "New Road, Worcester", "Norfolk Scope Arena", "The Gabba", "Savannah Civic Center", "Best Buy Theater", "Centennial Stadium", "Spokane Veterans Memorial Arena", "Stanley Park Stadium", "Perth Concert Hall", "Challenge Stadium", "Southampton Guildhall", "Penydarren Park", "Montgomery Performing Arts Centre", "Plymouth Pavilions", "Mariucci Arena", "Ericsson Globe", "HP Pavilion at San Jose", "American Music Theatre", "LaVell Edwards Stadium", "Cotton Bowl", "Metropolitan Opera House", "King Power Stadium", "Jorgensen Center for the Performing Arts", "Koning Willem II Stadion", "Cedar Rapids Ice Arena", "Bethel Woods Center for the Arts", "Capitol Theatre", "Ebbets Field", "Neyland Stadium", "Wembley Stadium", "Magness Arena", "Moncton Coliseum", "Mohegan Sun Arena", "Air Canada Centre", "Capitol Theatre, Sydney", "Beijing National Aquatics Center", "Saoud bin Abdulrahman Stadium", "Lipperlandhalle", "Holy Name Cathedral, Chicago", "Warner Theatre", "Capitol Theatre", "Eden Gardens", "Stadio Renato Curi", "Doak Campbell Stadium", "Orpheum Theatre", "Colonial Life Arena", "New York City Center", "Robert F. Kennedy Memorial Stadium", "Crisler Center", "Fenway Park", "Liverpool Empire Theatre", "Stadio San Paolo", "FIU Stadium", "Auditorio Banamex", "Five Flags Center", "Jacksonville Veterans Memorial Arena", "Teatro dell'Opera di Roma", "Tampereen jäähalli", "Stade Auguste Bonal", "Bramlage Coliseum", "Durham Performing Arts Center", "Surprise Stadium", "Webster Bank Arena", "Memorial Stadium", "Luna Park, Buenos Aires", "Rhodes Stadium", "Alexandra Palace", "Michigan Stadium", "Hubert H. Humphrey Metrodome", "Auditorium-Orchestre National de Lyon", "Tulalip Resort Casino", "WACA Ground", "Madison Square Garden", "Jiffy Lube Live", "FedExField", "Sheikh Khalifa International Stadium", "Sprint Center", "Stade Sébastien Charléty", "Centennial Concert Hall, Winnipeg", "Towson Center", "ShoWare Center", "Compuware Arena", "Allianz Stadium", "Florence Civic Center", "United Center", "BI-LO Center", "Rod Laver Arena", "Cardiff Arena", "Barrie Molson Centre", "ENMAX Centre", "The Concert Hall in Aarhus", "De Doelen", "5th Avenue Theatre", "Palais Theatre", "State Theatre", "MacInnes Student Ice Arena", "Bangalore Football Stadium", "Palais Omnisports de Paris-Bercy", "National Auditorium of Music", "North Charleston Coliseum", "Emens Auditorium, Ball State University", "Boleyn Ground", "Louise M. Davies Symphony Hall", "Ladd Peebles Stadium", "Green Point Stadium", "Texas Stadium", "Star Plaza Theatre", "Le Grand Rex", "Paul E. Tsongas Center at UMass Lowell", "Estádio do Pacaembu", "National Stadium, Bukit Jalil", "City National Grove of Anaheim", "Mercedes-Benz Superdome", "Deva Stadium", "Centre Court", "Allianz Arena", "Amman International Stadium", "Venue Cymru", "Fox Theatre", "Baum Stadium", "Tuacahn", "Agganis Arena", "Víctor Jara Stadium", "HK Arena", "Cameron Stadium", "Palau Sant Jordi", "Fillmore Auditorium", "Sun Life Stadium", "Cheney Stadium", "Anfield", "Davis Wade Stadium", "Marina Civic Center", "Cynthia Woods Mitchell Pavilion", "Pavilion Theatre", "Estádio do Dragão", "Stuart C. Siegel Center", "Franklin Field", "Folsom Field", "The Bell Auditorium", "Ben Hill Griffin Stadium", "K-Rock Centre", "Coleman Coliseum", "Consol Energy Center", "Riverfront Stadium", "Ferrell Center", "Stade de la Route de Lorient", "MassMutual Center", "Credit Union Centre", "Lake Elsinore Diamond", "Hartwall Areena", "Jim Patterson Stadium", "Falcon Stadium", "Somerset Park", "Dominion Theatre", "Scottrade Center", "Mid-America Center", "Ashton Gate Stadium", "State Theatre", "Prospera Place", "Camp Randall Stadium", "The Lowry", "Orleans Arena", "National Auditorium", "Old Trafford Cricket Ground", "Stadio Alberto Braglia", "Arizona Stadium", "Vines Center", "Oakland-Alameda County Coliseum", "Durham Bulls Athletic Park", "Veltins-Arena", "MDCC-Arena", "Rajamangala Stadium", "Opéra Bastille", "Javelina Stadium", "Ibrox Stadium", "Honda Center", "Lakefront Arena", "Wrigley Field", "Munn Ice Arena", "Miami Arena", "László Papp Budapest Sports Arena", "Pershing Center", "Estadio Benito Villamarín", "Cheltenham Racecourse", "Palace Theatre", "Ricoh Coliseum", "Stadion Oberwerth", "AT&T Performing Arts Center", "National Concert Hall, Dublin", "Mestalla Stadium", "Lucas Oil Stadium", "Van Andel Arena", "Estadio El Madrigal", "Johnny Unitas Stadium", "Roy Wilkins Auditorium", "Melbourne Cricket Ground", "Grand Theatre, Leeds", "Rose Garden", "Vanderbilt Stadium", "Craven Cottage", "Prudential Center", "Romney Stadium", "Riviera Theatre", "Gill Coliseum", "Mitsubishi Electric Halle", "Tiger Stadium", "Stadio Ennio Tardini", "Sullivan Athletic Center", "Verizon Theatre at Grand Prairie", "Estadio Marcelo Bielsa", "Heartland Events Center", "Paulson Stadium", "Estadio Fortunato Bonelli", "Spartan Stadium", "LDS Conference Center", "Salt River Fields at Talking Stick", "Carter–Finley Stadium", "Estadio Nuevo José Zorrilla", "Phoenix Symphony Hall", "Minneapolis Convention Center", "Long Beach Convention and Entertainment Center", "Old National Centre", "The Home Depot Center", "Docklands Stadium", "Gigg Lane", "Lyric Opera House", "Holt Arena", "Pride Park Stadium", "Sudbury Community Arena", "MGM Grand Garden Arena", "Velodrom", "Ussishkin", "Stranahan Theater", "O2 Academy Liverpool", "Commerzbank-Arena", "Gatorade Garden City Complex", "Bankers Life Fieldhouse", "Maverik Center", "Jazz at Lincoln Center", "BC Place", "Kohl Center", "Three Rivers Stadium", "Prince Edward Theatre", "Cleveland Stadium", "The Music Hall", "Benteler Arena", "Kampa-Halle", "Stade du Hameau", "Hancock Stadium", "Hyde Park Picture House, Leeds", "Bronco Stadium", "Estadio Riazor", "Reed Arena", "Sovereign Center", "Suheim Bin Hamad Stadium", "Suncorp Stadium", "Scotiabank Place", "Bushnell Center for the Performing Arts", "El Paso County Coliseum", "Boardwalk Hall", "Ulster Performing Arts Center", "Winter Garden Theatre", "Mackay Stadium", "City of Manchester Stadium", "Hampton Coliseum", "Molson Canadian Amphitheatre", "Abe Lenstra Stadion", "Bell Centre", "Charles C. Hughes Stadium", "Forrest Theatre", "Estadio de La Cartuja", "Comerica Theatre", "Vikings Stadium", "Sun National Bank Center", "Majestic Theatre", "Putra Indoor Stadium", "Ross–Ade Stadium", "Columbus Civic Center", "Pantages Theatre", "Resch Center", "Queen Elizabeth Theatre", "Barclays Center", "U.S. Cellular Field", "Toyota Center", "Bowers Stadium", "Thunder Bay Community Auditorium", "Hampton Convocation Center", "BankUnited Center", "Fisher Field", "Darrell K Royal–Texas Memorial Stadium", "Adriatic Arena", "Credicard Hall", "Sam Boyd Stadium", "Beacon Theatre, New York", "Gibson Amphitheatre", "Estadio de Béisbol Monterrey", "Stadio Artemio Franchi", "Rose Bowl", "Quicken Loans Arena", "Apollo Theater", "East End Park", "Nationals Park", "BB&T Field", "Bridgestone Arena", "Busch Stadium", "National Theatre", "Neil Simon Theatre", "Aronoff Center", "Saint Paul RiverCentre", "Bondi Beach", "Wiener Musikverein", "Miami Orange Bowl", "North Shore Music Theatre", "Olympic Stadium", "First Niagara Center", "Hanover Theatre for the Performing Arts", "Principal Park", "Lawrence Joel Veterans Memorial Coliseum", "Riverbend Music Center", "Sun Devil Stadium", "Mountaineer Field at Milan Puskar Stadium", "Alpine Valley Music Theatre", "Cowtown Coliseum", "The Elgin Theatre", "Smart Araneta Coliseum", "Rice Stadium", "Estadio Cubierto Newell's Old Boys", "Hill 16", "Whistler Sliding Centre", "The Muny" ], "function": ">=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 >= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 119000000, "question": "what are the energe units that are at least 4184.0 joules per unit?", "answer": [ "Kilowatt-hour", "Kilowatt hour", "Kilogram oil equivalent", "Tonne of oil equivalent", "Kiloton of TNT", "Barrel of oil equivalent", "Ton of TNT", "Kilocalorie", "Milliton of TNT", "Microton of TNT", "Megaton of TNT" ], "function": ">=", "commonness": -16.67998986500696, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.energy_unit", "class": "measurement_unit.energy_unit", "friendly_name": "Unit of Energy", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4184.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "4184.0", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.energy_unit.energy_in_joules", "friendly_name": "Energy in Joules" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.energy_unit . \nFILTER (?x1 >= 4184.0)\n?x0 :measurement_unit.energy_unit.energy_in_joules ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 119000100, "question": "find energe units that is no less than 4184.0 joules per unit.", "answer": [ "Kiloton of TNT", "Milliton of TNT", "Tonne of oil equivalent", "Ton of TNT", "Kilowatt hour", "Kilogram oil equivalent", "Kilowatt-hour", "Megaton of TNT", "Barrel of oil equivalent", "Microton of TNT", "Kilocalorie" ], "function": ">=", "commonness": -16.67998986500696, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.energy_unit", "class": "measurement_unit.energy_unit", "friendly_name": "Unit of Energy", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4184.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "4184.0", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.energy_unit.energy_in_joules", "friendly_name": "Energy in Joules" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.energy_unit . \nFILTER (?x1 >= 4184.0)\n?x0 :measurement_unit.energy_unit.energy_in_joules ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 119000200, "question": "list those units of energy with no smaller than 4184.0 joules per unit.", "answer": [ "Kilocalorie", "Kiloton of TNT", "Kilowatt-hour", "Milliton of TNT", "Megaton of TNT", "Kilogram oil equivalent", "Ton of TNT", "Barrel of oil equivalent", "Microton of TNT", "Tonne of oil equivalent", "Kilowatt hour" ], "function": ">=", "commonness": -16.67998986500696, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.energy_unit", "class": "measurement_unit.energy_unit", "friendly_name": "Unit of Energy", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "4184.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "4184.0", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.energy_unit.energy_in_joules", "friendly_name": "Energy in Joules" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.energy_unit . \nFILTER (?x1 >= 4184.0)\n?x0 :measurement_unit.energy_unit.energy_in_joules ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 120000000, "question": "i'm searching for rocket engines with a dry mass smaller than 1100.0 kg.", "answer": [ "RD-221", "RD-112", "RD-212 (D-41)", "RD-103M", "RD-510", "RD-169", "RD-222", "RD-250M", "RD-214", "Vinci", "RD-217U", "RD-108A", "RD-219U", "RD-100", "RD-107MM", "RD-107A", "RD-253", "RD-273", "RD-303", "RD-220", "S5.19", "RD-2", "RD-252", "RD-105", "RD-106", "RD-211", "RD-224D", "S5.92", "RD-262", "RD-1", "RD-113", "RD-302", "RD-109", "RD-250", "RD-119", "RD-268", "RD-219", "RD-3", "RD-263", "RD-101", "RD-133", "RD-250P", "RD-185", "RD-210", "RD-275", "RD-108MM", "RD-213 (D-13)", "RD-103", "RD-161", "RD-214F", "RD-502", "RD-114", "RD-117", "RD-301", "RD-280", "RD-118", "RL10", "RD-134", "RD-0146", "RD-1KhZ", "RD-214U" ], "function": "<=", "commonness": -17.601939640884925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_engine", "class": "spaceflight.rocket_engine", "friendly_name": "Rocket engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1100.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1100.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_engine.dry_mass", "friendly_name": "Dry mass" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket_engine . \nFILTER (?x1 <= 1100.0)\n?x0 :spaceflight.rocket_engine.dry_mass ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 120000100, "question": "the weight of what rocket engines is no more than 1100.0 kg when empty?", "answer": [ "RD-114", "RD-1", "RD-221", "RD-210", "RD-107A", "RD-103", "RD-112", "RD-185", "RD-263", "RD-219U", "RD-211", "RD-133", "RD-107MM", "RD-250P", "RD-214U", "RD-105", "RD-100", "RD-108A", "RD-219", "RD-3", "RD-1KhZ", "RD-262", "RD-224D", "RD-118", "RD-214F", "S5.92", "RD-303", "Vinci", "RD-2", "RD-301", "RD-119", "RD-250M", "RD-106", "RD-134", "RD-250", "RD-275", "RD-109", "RD-161", "RD-252", "RL10", "RD-108MM", "RD-101", "RD-212 (D-41)", "RD-302", "RD-214", "RD-103M", "RD-502", "RD-510", "RD-169", "RD-220", "RD-117", "RD-113", "RD-273", "S5.19", "RD-268", "RD-222", "RD-213 (D-13)", "RD-253", "RD-280", "RD-0146", "RD-217U" ], "function": "<=", "commonness": -17.601939640884925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_engine", "class": "spaceflight.rocket_engine", "friendly_name": "Rocket engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1100.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1100.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_engine.dry_mass", "friendly_name": "Dry mass" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket_engine . \nFILTER (?x1 <= 1100.0)\n?x0 :spaceflight.rocket_engine.dry_mass ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 120000200, "question": "find rocket engines with a dry mass no larger than 1100.0 kg.", "answer": [ "RD-510", "RD-133", "RD-108MM", "RD-185", "RD-250P", "RD-252", "RD-268", "RD-103", "RD-275", "RD-221", "Vinci", "RD-113", "RD-112", "RD-219", "RD-213 (D-13)", "RD-263", "RD-117", "RD-118", "RD-250", "RD-169", "RD-253", "RD-280", "RD-119", "S5.19", "RD-107A", "RD-211", "RD-109", "RD-222", "RD-212 (D-41)", "S5.92", "RL10", "RD-101", "RD-273", "RD-224D", "RD-220", "RD-502", "RD-303", "RD-107MM", "RD-105", "RD-134", "RD-250M", "RD-161", "RD-103M", "RD-114", "RD-219U", "RD-214", "RD-1", "RD-0146", "RD-2", "RD-217U", "RD-108A", "RD-262", "RD-214F", "RD-3", "RD-301", "RD-214U", "RD-106", "RD-100", "RD-210", "RD-302", "RD-1KhZ" ], "function": "<=", "commonness": -17.601939640884925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_engine", "class": "spaceflight.rocket_engine", "friendly_name": "Rocket engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1100.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1100.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_engine.dry_mass", "friendly_name": "Dry mass" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket_engine . \nFILTER (?x1 <= 1100.0)\n?x0 :spaceflight.rocket_engine.dry_mass ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 120000300, "question": "what rocket engines weigh at most 1100.0 kg when empty?", "answer": [ "RD-214F", "RD-303", "RD-214", "RD-100", "RD-105", "RD-113", "RD-119", "RD-108A", "RD-109", "Vinci", "RD-224D", "RD-101", "RD-161", "RD-214U", "RD-220", "RD-118", "RD-221", "RD-268", "RD-280", "RD-275", "RD-263", "RD-2", "RD-273", "RD-108MM", "RD-213 (D-13)", "RL10", "RD-510", "RD-3", "S5.19", "RD-103M", "RD-185", "RD-222", "RD-219U", "RD-301", "RD-1KhZ", "RD-212 (D-41)", "S5.92", "RD-250P", "RD-106", "RD-1", "RD-103", "RD-502", "RD-0146", "RD-211", "RD-117", "RD-112", "RD-210", "RD-252", "RD-217U", "RD-133", "RD-134", "RD-107A", "RD-250M", "RD-302", "RD-250", "RD-219", "RD-114", "RD-253", "RD-169", "RD-262", "RD-107MM" ], "function": "<=", "commonness": -17.601939640884925, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_engine", "class": "spaceflight.rocket_engine", "friendly_name": "Rocket engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1100.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1100.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_engine.dry_mass", "friendly_name": "Dry mass" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket_engine . \nFILTER (?x1 <= 1100.0)\n?x0 :spaceflight.rocket_engine.dry_mass ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 121000000, "question": "what are the venues that have a capacity at most 1417?", "answer": [ "Brooks Atkinson Theatre", "New Victoria Theatre", "Cactus Theater", "Paper Mill Playhouse", "Hartford Stage", "Diana Wortham Theatre", "Queen's Theatre", "Vicar Street", "Main Street Theater", "Walter Kerr Theatre", "St Martin's Theatre", "Lake Worth Playhouse", "Eden Court Theatre", "Punchline Comedy Club", "La Cigale", "Eugene O'Neill Theatre", "Bernard B. Jacobs Theatre", "Casino Regina", "James K. Polk Theater", "Sierra 2 Center for the Arts and Community", "The Eureka Theatre", "Donmar Warehouse", "Wyvern Theatre", "Hu Ke Lau", "State Theatre of Modesto", "Royal Court Theatre", "The Majestic Ventura Theater", "Minack Theatre", "The Blind Tiger", "Howard Theatre", "Aladdin Theater", "Alberta Rose Theatre", "Lyceum Theatre", "City Varieties Music Hall", "Boulder Theater", "The Cellars at Eastney", "August Wilson Theatre", "Joiners Arms", "Théâtre des Bouffes du Nord", "Drury Lane Theatre and Conference Center", "The Göteborg Opera", "Walnut Street Theatre", "Melbourne Recital Centre", "Live Theatre Company", "Symphony Space", "Norwich Playhouse", "The Garage", "Nandan", "Gramercy Theatre", "Westport Country Playhouse", "The Derngate Theatre", "Daryl Roth Theatre", "Wigmore Hall", "Glasgow Film Theatre", "Battersea Arts Centre", "Broadway Playhouse at Water Tower Place", "Screen Cinema", "Aldwych Theatre", "Fire Hall Theatre", "The Bacon Theatre, Cheltenham", "Alchemical Theatre Laboratory", "Arnolfini", "Melton Theatre", "John Golden Theatre", "Red Robinson Show Theatre", "The Miracle Theater", "Old Town Center for The Arts", "Royal Horseguards Hotel", "Olympia de Montreal", "The Hexagon", "Patronaat", "Gloria-Theater", "Congress Theatre", "Arts Court", "The Dairy Center for the Arts", "Royal Court Theatre, Liverpool", "Center Stage", "Dance Theater Workshop", "Neptune Theatre", "Wilshire Ebell Theatre", "Riverside Resort Hotel & Casino", "Stadium Building", "Fitzgerald Theater", "Glyndebourne", "Variety Playhouse", "West Yorkshire Playhouse", "Centerstage", "Mercury Theatre, Auckland", "Palace Theatre, London", "Mill Volvo Tyne Theatre", "Monte Carlo Resort and Casino", "Jack Couch Stadium", "The Rose Theater", "Carolina Theatre of Greensboro", "ImaginOn", "Arcata Theatre", "Langston Hughes Performing Arts Center", "Neptune Theatre", "Cabaret at Theater Square", "Aberystwyth Arts Centre", "Folino Theatre Center", "The Magnetic Field", "The Stephen Sondheim Theatre", "The Jane", "Riviera Theatre", "Byham Theater", "Theatre On the Square", "Opera House, Wellington", "The Orchard Theatre", "Grand Opera House, Belfast", "Doncaster Civic Theatre", "Fortune Theatre", "Hackney Empire", "Theater Wit", "Esther's Follies", "Lakewood Playhouse, theatre", "Nottingham Playhouse", "Stadsschouwburg Groningen", "Vaudeville Theatre", "Théâtre Lionel-Groulx", "Royal Lyceum Theatre", "Oxford Playhouse", "Young Vic", "International City Theatre", "BackStage Lounge", "TCL Chinese Theatre", "San Gabriel Mission Playhouse", "The Westcott Theater", "Snapple Theater Center", "Lantern Theatre", "Duke Energy Theatre", "The PSALM Salon", "Central Social Aid and Pleasure Club", "Friedrich-Ebert-Halle", "Oldham Coliseum Theatre", "Piccadilly Theatre", "Alley Theatre", "Teatro Regio", "Montgomery Theater", "Pocahontas County Opera House", "Linda Johnson Smith Soccer Stadium", "Khudozhestvenny Cinema", "Savoy Theatre", "Hungarian State Opera House", "Casino Théâtre Barrière de Toulouse", "Kent Stage", "The Black Box", "Geffen Playhouse", "Novellus Theater", "Milton Keynes Theatre", "The Royal Theatre", "Lexington Opera House", "Ambassador Cinema", "Du Burns Arena", "Cadogan Hall", "Chichester Festival Theatre", "Westchester Playhouse", "Theater Duisburg", "Barre Opera House", "Castro Theatre", "Octagon Theatre, Bolton", "Playhouse Theatre", "Film Forum", "Mayfair Theatre", "Dundas Castle", "The Scoop", "Novello Theatre", "Fortune Theatre, Dunedin", "Uptown Theatre", "Teatro Comunale di Bologna", "Teatro Sociale", "The Katharine Hepburn Cultural Arts Center", "Jazzhus Montmartre", "Lincoln Theatre", "Laura Pels Theatre", "The Address Dubai Mall", "New Alexandra Theatre", "Charles Theatre", "Komische Oper Berlin", "INTECH", "American Players Theatre", "John A. Ryan Arena", "Lyric Theatre", "Mercury Theater", "Theatre Asylum", "De Kleine Komedie", "Mayne Stage", "Tipitina's", "Die Wühlmäuse", "Richard Rodgers Theatre", "Swan Theatre", "Laurie Beechman Theatre", "Centrepointe Theatre", "The Playhouse, Weston-super-Mare", "Arcada Theater Building", "Rialto Theater", "George Street Playhouse", "Westhampton Beach Performing Arts Center", "Bardavon 1869 Opera House", "Hanford Fox Theater", "Joyce Theater", "Kirkland Performance Center", "Kassablanca Gleis1", "CSC Gazodobytchik", "Magic Bag", "Saalbau Neukölln", "Medicine Hat Athletic Park", "Long Wharf Theatre", "Flynn Center for the Performing Arts", "CounterPULSE", "Ambassadors Theatre London", "Unicorn Theatre", "The Winter Garden Theatre", "The Sugarmill", "Ridgefield Playhouse", "Troxy", "Imperial Theatre", "Emelin Theatre", "Olympia Theatre", "York Hall", "Haw River Ballroom", "Palace Theatre", "The Paramount Theatre", "C2G Music Hall", "Lost Theatre", "One Longfellow Square", "Peery's Egyptian Theater", "RADA Studios", "Cort Theatre", "Queensborough Performing Arts Center", "Rio Theatre", "Johnny D's Uptown Restaurant & Music Club", "His Majesty's Theatre, Perth", "Corn Exchange, Newbury", "Newberry Opera House", "The Spa, Bridlington", "Menier Chocolate Factory", "Varsity", "New Century Theatre", "Phoenix Concert Theatre", "Missouri Theatre Center for the Arts", "Kimmel Center for the Performing Arts", "The Opera House", "Citizens Theatre", "Tron Theatre", "Dix Hills Performing Arts Center", "Harold Pinter Theatre", "Broadhurst Theatre", "Dee and Charles Wyly Theatre", "Samuel J. Friedman Theatre", "Lyric Theatre, London", "The Donkey", "White Rock Theatre", "Triad Theater", "Palace Theatre, Westcliff-on-Sea", "Pabst Theater", "Shaw Theatre", "14th Street Playhouse", "Likio Agiou Athanasiou", "The Ritz Theater", "International House Philadelphia", "Grand Theatre, Blackpool", "Phoenix Theatre", "Grünspan Club", "Andrew Johnson Theater", "Tower Theatre", "Helen Hayes Theatre", "Stadsschouwburg Haarlem", "Birdland", "Sherman Theater", "Apollo Theater Chicago", "Hollywood Theatre", "Dance Mission Theater", "Vienna Volksoper", "Whitefire Theatre", "Baths Hall", "The Space", "Cutler Majestic Theatre", "Traverse Theatre", "Nederlander Theatre", "Le Divan du Monde", "Liberty Hall", "French Laundry", "Tremont Music Hall", "The Rapids Theatre", "Abbey Theatre", "Camden Palace", "Royal Shakespeare Company", "Konzerthalle Ulrichskirche", "Garrick Theatre", "Arts Theatre", "Capitol Theatre", "Sanders Theater", "Grand Guignol", "Lyceum Theatre", "Booth Theatre", "Acorn Theatre", "Almeida Theatre", "Alhambra", "McDonald Theatre", "Noël Coward Theatre", "State Farm Arena", "Wheeler Opera House", "Landis Theater", "Cambridge Theatre", "Actors Theatre of Louisville", "Buxton Opera House", "Suncoast Hotel and Casino", "West Side Theatre", "Capri Theatre", "Fox Event Center", "Crystal Ballroom", "Churchill Theatre", "Istana Budaya", "New Theatre, Cardiff", "Tarragon Theatre", "York Theatre", "Her Majesty's Theatre", "Brisbane Powerhouse", "Neighborhood Theatre", "Temple Nightclub", "Teatro Verdi", "Ford's Theatre National Historic Site", "John Bassett Theatre", "Park Theatre Cafe", "Richmond Theatre", "Pickwick Theatre", "Segerstrom Center for the Arts", "Brattle Theatre", "Circle in the Square Theatre", "Sellersville Theater 1894", "City Lights Theater Company of San Jose", "Salvage Vanguard Theater", "Le Petit Trianon Theatre", "Studio 54", "Irving Theater", "Sheldonian Theatre", "Mary G. Steiner Egyptian Theatre", "Long Beach Playhouse", "Theatre Royal, Brighton", "Orpheus Theatre and Convention Centre", "Carpenter Performing Arts Center", "Stadthalle Mülheim", "100 Club", "The Space", "Greenwich Theatre", "Whisky a Go Go", "Birch North Park Theatre", "Ethel Barrymore Theatre", "Oriental Theater", "Kaufman Astoria Studios", "Carr's Corner", "Wilton's Music Hall", "Headhunters", "Historische Stadthalle", "Birmingham Repertory Theatre", "The Albany", "Cork Opera House", "Grand Theatre, Swansea", "Jubilee Theatre", "City Theatre", "Koninklijke Schouwburg", "Birmingham Town Hall", "Hoxton Hall", "Fox Tucson Theatre", "Wyndham's Theatre", "Writers' Theatre", "Seaport Hotel and Seaport World Trade Center", "Théâtre Hector-Charland", "Trafalgar Studios", "Atlas Performing Arts Center", "Shaftesbury Theatre", "Peacock Theatre", "Sutter Creek Theatre", "Englert Theatre", "New Hazlett Theater", "Viper Alley", "Oper der Stadt Bonn", "Fox Theatre", "Melbourne Athenaeum", "Fox Theatre", "Orpheum Theater", "New London Theatre", "Belcourt Theatre", "Third Avenue Playhouse", "Earl Smith Strand Theatre", "The Lion Theatre", "Ale Emporium", "Gate Theatre", "Kentucky Theater", "Alban Arena", "Herbst Theatre", "Playhouse on Park", "Hudson Hotel", "Kirk Douglas Theatre", "Zeiterion Theatre", "El Rey Theatre", "Charleston Music Hall", "Ford's Theatre", "Tricycle Theatre", "Tarrytown Music Hall", "The Quad Resort and Casino", "Infinity Hall", "Lyric Theatre", "Central Theatre Box Office", "Bijou Theatre", "The Tivoli Theatre", "Wells Theatre", "CCT Park Street Theatre", "Lucille Lortel Theatre", "Manhattan Movement & Art Center", "Royal Exchange, Manchester", "Theatre Royal, Newcastle", "Blue Man Group Sharp Aquos Theatre", "Bearsville Theater", "City Recital Hall", "The End", "Gerald Schoenfeld Theatre", "Open Air Theatre, Regent's Park", "Stafford Centre", "Bradford Alhambra", "Actors Theatre of San Francisco", "Bankhead Theater", "The World Famous Nashville Palace", "Westside Theatre", "North Shore Center for the Performing Arts in Skokie", "Byrd Theatre", "Theatre Royal", "Gielgud Theatre", "Haymarket Theatre", "Palace Theatre", "Northern Stage, Newcastle upon Tyne", "Factory Theatre", "The Astor Theatre", "The Embassy Theatre", "The Old Vic", "Madlenianum Opera and Theatre", "The Fillmore", "Flying Monkey Movie House & Performance Center", "Imperial Theatre", "iO Theater", "Rooster T Feathers Comedy Club", "Northcott Theatre", "Cockpit Theatre, Marylebone", "Rickshaw Theatre", "Shalin Liu Performance Center", "Bloomsbury Theatre", "Arlington Music Hall", "Ulster Hall", "Liverpool Playhouse", "The Anvil, Basingstoke", "Roxy Theatre", "Victoria Theatre", "De Oosterpoort", "Edison Theatre", "The Wedgewood Rooms", "Le Trianon", "1st Stage Theater", "Rendezvous", "Assembly Hall Theatre, Tunbridge Wells", "Carolina Theatre", "Main Street Theater", "Webster Theater", "Curve", "Embassy Theatre, Wellington", "Everyman Palace Theatre", "Harrogate Theatre", "El Rey Theater", "Corona Theatre", "Kulturladen KFZ", "The Drum", "Tivoli Theatre", "Park Theatre", "7th Street Theatre", "Astor Cinema", "Gem Theatre", "LG Arts Center", "Somerville Theatre", "Woodland Opera House", "Theatre Royal, Bath", "Yvonne Arnaud Theatre", "The Tampa Theatre and Office Building", "Hull New Theatre", "Muffathalle", "Florida Strawberry Festival Grounds", "Watermill Theatre", "Broadway Performance Hall", "Mayo Performing Arts Center", "The Broadway Theatre of Pitman", "Stephen Joseph Theatre", "Hill Country Barbecue Market", "Le Trabendo", "The Underground", "The Vic Theatre", "Duke of York's Theatre", "High Point Theatre", "Soho Theatre", "Epsom Playhouse", "Theatre Royal, Windsor", "Crescent Theatre", "Savoy Theater", "Hampstead Theatre", "Attucks Theatre", "San Jose Repertory Theatre", "Apollo Theatre", "Trinity Repertory Company", "Weymouth Pavilion", "Belasco Theatre", "Firs Park", "Duchess Theatre", "Crucible Theatre", "Hen and Chickens Theatre", "Royal Theatre", "Grand Opera House", "The Strand", "Southern Theatre", "St. Luke's Theatre", "Princess Pavilion", "Old Red Lion Theatre", "Bridge View Center", "Carolina Inn", "Plaza Theater", "Leicester Square Theatre", "Weinberg Center for the Arts", "Omaha Community Playhouse", "Belgrade Theatre", "Tollhaus", "Lakewood Cultural Center", "Sheridan Opera House", "Tony Burger Center", "Hotel Astoria", "Theatre Royal, Bristol", "Criterion Theatre", "Prince of Wales Theatre", "Columbia City Theater", "Linbury Studio Theatre", "Santa Clarita Performing Arts Center at College of the Canyons", "Lincoln Theatre", "Portage Theater", "Orpheum Theatre", "Jefferson Theater", "TIPI am Kanzleramt", "Dollar Cinema", "Phoenix Theatre", "Ohio Theatre", "Pasadena Playhouse", "Colonial Theatre", "Rockwood Music Hall", "The Grove Theatre" ], "function": "<=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 <= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 121000100, "question": "find venues that can seat no more than 1417 people.", "answer": [ "Linbury Studio Theatre", "Donmar Warehouse", "Sutter Creek Theatre", "Theatre Royal, Bath", "Royal Court Theatre, Liverpool", "Eden Court Theatre", "Cockpit Theatre, Marylebone", "Northcott Theatre", "Teatro Comunale di Bologna", "Grünspan Club", "Lincoln Theatre", "Harrogate Theatre", "Stadthalle Mülheim", "Tony Burger Center", "Nottingham Playhouse", "Viper Alley", "Hungarian State Opera House", "The Underground", "The Strand", "Doncaster Civic Theatre", "New Alexandra Theatre", "Daryl Roth Theatre", "Circle in the Square Theatre", "Théâtre des Bouffes du Nord", "Palace Theatre", "Nederlander Theatre", "Hartford Stage", "Brooks Atkinson Theatre", "Varsity", "State Theatre of Modesto", "Royal Theatre", "Royal Court Theatre", "August Wilson Theatre", "Dix Hills Performing Arts Center", "Soho Theatre", "Aladdin Theater", "Birmingham Repertory Theatre", "Hoxton Hall", "Oldham Coliseum Theatre", "Chichester Festival Theatre", "Royal Horseguards Hotel", "Olympia de Montreal", "The Grove Theatre", "Wheeler Opera House", "City Varieties Music Hall", "Theatre On the Square", "The Quad Resort and Casino", "Herbst Theatre", "Atlas Performing Arts Center", "Churchill Theatre", "CounterPULSE", "John A. Ryan Arena", "Duke Energy Theatre", "Hill Country Barbecue Market", "Missouri Theatre Center for the Arts", "Alhambra", "Vienna Volksoper", "Centrepointe Theatre", "Main Street Theater", "Cort Theatre", "The Ritz Theater", "Somerville Theatre", "Kent Stage", "Milton Keynes Theatre", "The Anvil, Basingstoke", "Long Wharf Theatre", "Drury Lane Theatre and Conference Center", "Almeida Theatre", "Pabst Theater", "McDonald Theatre", "Du Burns Arena", "Arts Theatre", "Ulster Hall", "The Astor Theatre", "Gem Theatre", "The Eureka Theatre", "Trafalgar Studios", "Linda Johnson Smith Soccer Stadium", "Duke of York's Theatre", "Watermill Theatre", "Temple Nightclub", "Walter Kerr Theatre", "The Tampa Theatre and Office Building", "New Hazlett Theater", "Paper Mill Playhouse", "Firs Park", "Bridge View Center", "CSC Gazodobytchik", "Stadsschouwburg Haarlem", "Royal Lyceum Theatre", "Abbey Theatre", "Birch North Park Theatre", "Writers' Theatre", "Westport Country Playhouse", "Glasgow Film Theatre", "Melbourne Recital Centre", "Tarragon Theatre", "Gramercy Theatre", "Arts Court", "Stephen Joseph Theatre", "State Farm Arena", "Carr's Corner", "Arcata Theatre", "Dollar Cinema", "Magic Bag", "Monte Carlo Resort and Casino", "Hotel Astoria", "Centerstage", "The Spa, Bridlington", "City Lights Theater Company of San Jose", "Melton Theatre", "Bijou Theatre", "Sheldonian Theatre", "The Space", "Théâtre Lionel-Groulx", "Fortune Theatre, Dunedin", "Walnut Street Theatre", "Imperial Theatre", "Cactus Theater", "Park Theatre Cafe", "Lincoln Theatre", "The Donkey", "Grand Opera House", "Orpheum Theatre", "Bradford Alhambra", "Carolina Theatre of Greensboro", "The Space", "Corn Exchange, Newbury", "The Albany", "Mercury Theatre, Auckland", "Congress Theatre", "Broadhurst Theatre", "Minack Theatre", "Actors Theatre of San Francisco", "Rooster T Feathers Comedy Club", "Main Street Theater", "Corona Theatre", "Richmond Theatre", "Sanders Theater", "Screen Cinema", "Central Theatre Box Office", "RADA Studios", "Le Divan du Monde", "Landis Theater", "Gielgud Theatre", "Jazzhus Montmartre", "Shaftesbury Theatre", "Savoy Theatre", "Johnny D's Uptown Restaurant & Music Club", "Newberry Opera House", "Theatre Royal, Bristol", "Fire Hall Theatre", "City Recital Hall", "Rockwood Music Hall", "Kentucky Theater", "Ridgefield Playhouse", "100 Club", "Bearsville Theater", "The Orchard Theatre", "John Bassett Theatre", "Melbourne Athenaeum", "Theatre Royal, Windsor", "The Westcott Theater", "Wilton's Music Hall", "Birdland", "Hudson Hotel", "Center Stage", "Lyceum Theatre", "Dee and Charles Wyly Theatre", "Lexington Opera House", "Piccadilly Theatre", "Crescent Theatre", "Gate Theatre", "Open Air Theatre, Regent's Park", "Infinity Hall", "Acorn Theatre", "High Point Theatre", "New Theatre, Cardiff", "Die Wühlmäuse", "Battersea Arts Centre", "Bankhead Theater", "James K. Polk Theater", "John Golden Theatre", "Rendezvous", "Castro Theatre", "Saalbau Neukölln", "Flying Monkey Movie House & Performance Center", "The Katharine Hepburn Cultural Arts Center", "Langston Hughes Performing Arts Center", "14th Street Playhouse", "Mayfair Theatre", "Manhattan Movement & Art Center", "Queen's Theatre", "Alchemical Theatre Laboratory", "Kaufman Astoria Studios", "Wigmore Hall", "Alley Theatre", "Samuel J. Friedman Theatre", "Punchline Comedy Club", "Traverse Theatre", "Flynn Center for the Performing Arts", "Orpheum Theater", "Young Vic", "Cadogan Hall", "Tower Theatre", "Royal Shakespeare Company", "Andrew Johnson Theater", "Belgrade Theatre", "Central Social Aid and Pleasure Club", "York Hall", "Stadsschouwburg Groningen", "Brattle Theatre", "Neptune Theatre", "Plaza Theater", "The Blind Tiger", "Le Trianon", "Stafford Centre", "Duchess Theatre", "Actors Theatre of Louisville", "Blue Man Group Sharp Aquos Theatre", "Old Red Lion Theatre", "Triad Theater", "7th Street Theatre", "International City Theatre", "Khudozhestvenny Cinema", "Apollo Theatre", "Broadway Performance Hall", "Dance Mission Theater", "Lyric Theatre, London", "CCT Park Street Theatre", "Byrd Theatre", "Laura Pels Theatre", "West Yorkshire Playhouse", "Theatre Royal", "Phoenix Concert Theatre", "Jack Couch Stadium", "Film Forum", "Ethel Barrymore Theatre", "Eugene O'Neill Theatre", "La Cigale", "Hackney Empire", "The Black Box", "Belasco Theatre", "Le Trabendo", "Palace Theatre, Westcliff-on-Sea", "Yvonne Arnaud Theatre", "Playhouse on Park", "De Oosterpoort", "ImaginOn", "Buxton Opera House", "Her Majesty's Theatre", "Muffathalle", "Mary G. Steiner Egyptian Theatre", "Barre Opera House", "Lost Theatre", "Bernard B. Jacobs Theatre", "Noël Coward Theatre", "El Rey Theater", "Hu Ke Lau", "Montgomery Theater", "Grand Theatre, Blackpool", "Arcada Theater Building", "Fox Theatre", "Mayne Stage", "Queensborough Performing Arts Center", "The Rapids Theatre", "Attucks Theatre", "New London Theatre", "The Garage", "Tremont Music Hall", "Charleston Music Hall", "The Dairy Center for the Arts", "Symphony Space", "Englert Theatre", "Edison Theatre", "Theatre Royal, Brighton", "Tipitina's", "Dance Theater Workshop", "Medicine Hat Athletic Park", "Teatro Regio", "Westside Theatre", "Victoria Theatre", "Grand Opera House, Belfast", "West Side Theatre", "Neighborhood Theatre", "Koninklijke Schouwburg", "Irving Theater", "Emelin Theatre", "The Hexagon", "Phoenix Theatre", "Hull New Theatre", "Ford's Theatre National Historic Site", "LG Arts Center", "The End", "Factory Theatre", "Ambassador Cinema", "Novello Theatre", "Olympia Theatre", "The Derngate Theatre", "Aldwych Theatre", "Columbia City Theater", "Palace Theatre", "iO Theater", "The Majestic Ventura Theater", "Criterion Theatre", "The Scoop", "Theater Wit", "The Sugarmill", "Crystal Ballroom", "Peacock Theatre", "Whitefire Theatre", "Wyvern Theatre", "Hen and Chickens Theatre", "Arlington Music Hall", "Norwich Playhouse", "Patronaat", "Rickshaw Theatre", "Theatre Asylum", "Ambassadors Theatre London", "One Longfellow Square", "The Rose Theater", "Neptune Theatre", "The Winter Garden Theatre", "The Jane", "The Old Vic", "Wyndham's Theatre", "Kimmel Center for the Performing Arts", "Harold Pinter Theatre", "Imperial Theatre", "Apollo Theater Chicago", "Oper der Stadt Bonn", "Florida Strawberry Festival Grounds", "York Theatre", "Esther's Follies", "American Players Theatre", "Lyric Theatre", "Camden Palace", "Roxy Theatre", "Live Theatre Company", "Boulder Theater", "The Miracle Theater", "Dundas Castle", "Capitol Theatre", "Le Petit Trianon Theatre", "Playhouse Theatre", "New Victoria Theatre", "Crucible Theatre", "The Lion Theatre", "Joiners Arms", "Sherman Theater", "Hollywood Theatre", "Madlenianum Opera and Theatre", "Webster Theater", "Novellus Theater", "Princess Pavilion", "Weymouth Pavilion", "Alberta Rose Theatre", "Westhampton Beach Performing Arts Center", "Ohio Theatre", "Bloomsbury Theatre", "Menier Chocolate Factory", "Oriental Theater", "Booth Theatre", "The Royal Theatre", "Pocahontas County Opera House", "Mercury Theater", "Arnolfini", "Nandan", "Epsom Playhouse", "Liberty Hall", "Weinberg Center for the Arts", "Konzerthalle Ulrichskirche", "TIPI am Kanzleramt", "INTECH", "The Address Dubai Mall", "Hanford Fox Theater", "Studio 54", "Lakewood Cultural Center", "Greenwich Theatre", "Swan Theatre", "Gloria-Theater", "Teatro Verdi", "Fox Tucson Theatre", "Shalin Liu Performance Center", "Vaudeville Theatre", "Historische Stadthalle", "Garrick Theatre", "San Gabriel Mission Playhouse", "Orpheus Theatre and Convention Centre", "The Göteborg Opera", "Capri Theatre", "Santa Clarita Performing Arts Center at College of the Canyons", "The Bacon Theatre, Cheltenham", "Westchester Playhouse", "His Majesty's Theatre, Perth", "Lake Worth Playhouse", "Stadium Building", "Opera House, Wellington", "Leicester Square Theatre", "Mayo Performing Arts Center", "Headhunters", "White Rock Theatre", "Woodland Opera House", "Hampstead Theatre", "Broadway Playhouse at Water Tower Place", "Rialto Theater", "The Drum", "1st Stage Theater", "Lyric Theatre", "Red Robinson Show Theatre", "Long Beach Playhouse", "Variety Playhouse", "Whisky a Go Go", "De Kleine Komedie", "Embassy Theatre, Wellington", "Théâtre Hector-Charland", "St Martin's Theatre", "Liverpool Playhouse", "Trinity Repertory Company", "Carolina Theatre", "Tron Theatre", "The Magnetic Field", "Alban Arena", "Seaport Hotel and Seaport World Trade Center", "Wells Theatre", "Savoy Theater", "Park Theatre", "Omaha Community Playhouse", "Vicar Street", "Haymarket Theatre", "Citizens Theatre", "The Wedgewood Rooms", "Likio Agiou Athanasiou", "Grand Theatre, Swansea", "Folino Theatre Center", "Third Avenue Playhouse", "Lakewood Playhouse, theatre", "Richard Rodgers Theatre", "New Century Theatre", "Suncoast Hotel and Casino", "Belcourt Theatre", "Zeiterion Theatre", "Portage Theater", "Kulturladen KFZ", "Tivoli Theatre", "Troxy", "Uptown Theatre", "Howard Theatre", "Joyce Theater", "Octagon Theatre, Bolton", "Pasadena Playhouse", "Lucille Lortel Theatre", "Komische Oper Berlin", "Assembly Hall Theatre, Tunbridge Wells", "Northern Stage, Newcastle upon Tyne", "Istana Budaya", "Prince of Wales Theatre", "The Stephen Sondheim Theatre", "Old Town Center for The Arts", "Rio Theatre", "C2G Music Hall", "The Vic Theatre", "The Paramount Theatre", "Earl Smith Strand Theatre", "Diana Wortham Theatre", "Birmingham Town Hall", "Sellersville Theater 1894", "Wilshire Ebell Theatre", "Southern Theatre", "Phoenix Theatre", "Ford's Theatre", "Bardavon 1869 Opera House", "The World Famous Nashville Palace", "Glyndebourne", "Jubilee Theatre", "Kirkland Performance Center", "Theater Duisburg", "The Fillmore", "Laurie Beechman Theatre", "Lyceum Theatre", "North Shore Center for the Performing Arts in Skokie", "Friedrich-Ebert-Halle", "The Tivoli Theatre", "Peery's Egyptian Theater", "Tollhaus", "French Laundry", "Cambridge Theatre", "Snapple Theater Center", "Fox Event Center", "George Street Playhouse", "Cork Opera House", "Cutler Majestic Theatre", "Byham Theater", "TCL Chinese Theatre", "Fox Theatre", "Colonial Theatre", "International House Philadelphia", "Fortune Theatre", "Ale Emporium", "Pickwick Theatre", "Tricycle Theatre", "Grand Guignol", "BackStage Lounge", "The Cellars at Eastney", "The Opera House", "Aberystwyth Arts Centre", "San Jose Repertory Theatre", "Riverside Resort Hotel & Casino", "Sierra 2 Center for the Arts and Community", "Sheridan Opera House", "Astor Cinema", "Kassablanca Gleis1", "City Theatre", "Mill Volvo Tyne Theatre", "Jefferson Theater", "Charles Theatre", "Cabaret at Theater Square", "Casino Théâtre Barrière de Toulouse", "Everyman Palace Theatre", "The PSALM Salon", "St. Luke's Theatre", "Curve", "Geffen Playhouse", "Oxford Playhouse", "The Embassy Theatre", "Shaw Theatre", "Casino Regina", "Carolina Inn", "Fitzgerald Theater", "Lantern Theatre", "Salvage Vanguard Theater", "Segerstrom Center for the Arts", "El Rey Theatre", "Haw River Ballroom", "Carpenter Performing Arts Center", "Teatro Sociale", "Tarrytown Music Hall", "Royal Exchange, Manchester", "Unicorn Theatre", "Riviera Theatre", "Brisbane Powerhouse", "Kirk Douglas Theatre", "The Broadway Theatre of Pitman", "The Playhouse, Weston-super-Mare", "Theatre Royal, Newcastle", "Baths Hall", "Palace Theatre, London", "Gerald Schoenfeld Theatre", "Helen Hayes Theatre" ], "function": "<=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 <= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 121000200, "question": "find me venues that have a crowd capacity 1417 or less?", "answer": [ "Flying Monkey Movie House & Performance Center", "Théâtre Lionel-Groulx", "City Theatre", "French Laundry", "Abbey Theatre", "Theatre Royal, Bath", "Grand Theatre, Blackpool", "Grand Opera House", "High Point Theatre", "The Jane", "Epsom Playhouse", "Milton Keynes Theatre", "Le Divan du Monde", "State Theatre of Modesto", "St. Luke's Theatre", "Aldwych Theatre", "Firs Park", "Royal Theatre", "Istana Budaya", "Rialto Theater", "Arcata Theatre", "Teatro Sociale", "Likio Agiou Athanasiou", "Royal Court Theatre, Liverpool", "The Albany", "The Lion Theatre", "Lyric Theatre", "Olympia Theatre", "Patronaat", "Teatro Comunale di Bologna", "Leicester Square Theatre", "Jack Couch Stadium", "Muffathalle", "Fortune Theatre", "iO Theater", "Richmond Theatre", "Trinity Repertory Company", "The Orchard Theatre", "Tricycle Theatre", "Birmingham Repertory Theatre", "Troxy", "The Address Dubai Mall", "Grand Guignol", "Pocahontas County Opera House", "Birch North Park Theatre", "Third Avenue Playhouse", "Fire Hall Theatre", "Crucible Theatre", "CCT Park Street Theatre", "Varsity", "Boulder Theater", "Belasco Theatre", "Tower Theatre", "The Strand", "Melton Theatre", "The Hexagon", "Park Theatre Cafe", "Phoenix Theatre", "Theater Duisburg", "Konzerthalle Ulrichskirche", "Norwich Playhouse", "Wheeler Opera House", "Vaudeville Theatre", "Theatre Royal, Bristol", "Lyceum Theatre", "Arcada Theater Building", "The Rapids Theatre", "Live Theatre Company", "The Underground", "Her Majesty's Theatre", "Lyceum Theatre", "Sutter Creek Theatre", "Westport Country Playhouse", "Neptune Theatre", "Dance Mission Theater", "Sierra 2 Center for the Arts and Community", "Alban Arena", "Royal Lyceum Theatre", "Salvage Vanguard Theater", "Duke Energy Theatre", "Ambassador Cinema", "New Theatre, Cardiff", "Headhunters", "The Miracle Theater", "Blue Man Group Sharp Aquos Theatre", "The Royal Theatre", "Old Town Center for The Arts", "Shaftesbury Theatre", "Diana Wortham Theatre", "Doncaster Civic Theatre", "Folino Theatre Center", "Zeiterion Theatre", "Bijou Theatre", "Stephen Joseph Theatre", "Grand Opera House, Belfast", "Nottingham Playhouse", "Lakewood Playhouse, theatre", "Shaw Theatre", "Cork Opera House", "North Shore Center for the Performing Arts in Skokie", "Lyric Theatre, London", "The Derngate Theatre", "Rendezvous", "Triad Theater", "Film Forum", "Stadsschouwburg Haarlem", "Casino Théâtre Barrière de Toulouse", "Rooster T Feathers Comedy Club", "Oldham Coliseum Theatre", "Royal Horseguards Hotel", "Brattle Theatre", "Orpheum Theatre", "Ale Emporium", "Florida Strawberry Festival Grounds", "Ridgefield Playhouse", "Savoy Theater", "Cactus Theater", "Harold Pinter Theatre", "Cadogan Hall", "Vienna Volksoper", "Cockpit Theatre, Marylebone", "Playhouse Theatre", "Park Theatre", "Hanford Fox Theater", "Johnny D's Uptown Restaurant & Music Club", "Uptown Theatre", "New Victoria Theatre", "TIPI am Kanzleramt", "Everyman Palace Theatre", "Old Red Lion Theatre", "7th Street Theatre", "C2G Music Hall", "Screen Cinema", "Pabst Theater", "Circle in the Square Theatre", "The Paramount Theatre", "American Players Theatre", "The Scoop", "Factory Theatre", "Hudson Hotel", "Theatre Royal", "Royal Court Theatre", "Charles Theatre", "Duchess Theatre", "Trafalgar Studios", "The Garage", "John A. Ryan Arena", "Whitefire Theatre", "Royal Shakespeare Company", "Lincoln Theatre", "The Tivoli Theatre", "Walter Kerr Theatre", "Astor Cinema", "The Astor Theatre", "Lucille Lortel Theatre", "Fox Event Center", "Carolina Theatre", "Hartford Stage", "Central Social Aid and Pleasure Club", "Stadium Building", "Novello Theatre", "Belgrade Theatre", "The Cellars at Eastney", "Westhampton Beach Performing Arts Center", "New Hazlett Theater", "Ohio Theatre", "Santa Clarita Performing Arts Center at College of the Canyons", "Battersea Arts Centre", "Tony Burger Center", "Aberystwyth Arts Centre", "Sherman Theater", "Joyce Theater", "Main Street Theater", "Palace Theatre", "Northcott Theatre", "Jazzhus Montmartre", "Eden Court Theatre", "Westchester Playhouse", "The Embassy Theatre", "Walnut Street Theatre", "Main Street Theater", "The Space", "The Wedgewood Rooms", "Kassablanca Gleis1", "Young Vic", "Herbst Theatre", "Mayne Stage", "Kentucky Theater", "Tremont Music Hall", "Buxton Opera House", "Peery's Egyptian Theater", "Capitol Theatre", "George Street Playhouse", "Octagon Theatre, Bolton", "Hampstead Theatre", "Palace Theatre", "Alhambra", "Curve", "The Broadway Theatre of Pitman", "Carr's Corner", "Menier Chocolate Factory", "Olympia de Montreal", "Citizens Theatre", "Oriental Theater", "Unicorn Theatre", "The Quad Resort and Casino", "Magic Bag", "The Stephen Sondheim Theatre", "100 Club", "Central Theatre Box Office", "Esther's Follies", "Charleston Music Hall", "The Sugarmill", "The Winter Garden Theatre", "The Spa, Bridlington", "Mayfair Theatre", "Kimmel Center for the Performing Arts", "Medicine Hat Athletic Park", "Red Robinson Show Theatre", "Weinberg Center for the Arts", "New London Theatre", "Northern Stage, Newcastle upon Tyne", "Le Petit Trianon Theatre", "Haw River Ballroom", "Le Trianon", "New Alexandra Theatre", "Savoy Theatre", "The Old Vic", "John Bassett Theatre", "Noël Coward Theatre", "Montgomery Theater", "Bankhead Theater", "The Opera House", "White Rock Theatre", "Vicar Street", "Gloria-Theater", "TCL Chinese Theatre", "Melbourne Athenaeum", "RADA Studios", "El Rey Theatre", "The Katharine Hepburn Cultural Arts Center", "Punchline Comedy Club", "Madlenianum Opera and Theatre", "Arts Theatre", "Flynn Center for the Performing Arts", "The Black Box", "Donmar Warehouse", "New Century Theatre", "Columbia City Theater", "Fitzgerald Theater", "Centrepointe Theatre", "Sanders Theater", "Ford's Theatre", "Mary G. Steiner Egyptian Theatre", "Geffen Playhouse", "Landis Theater", "Komische Oper Berlin", "Wyvern Theatre", "Assembly Hall Theatre, Tunbridge Wells", "Grünspan Club", "Nederlander Theatre", "Wilshire Ebell Theatre", "Joiners Arms", "Dance Theater Workshop", "Langston Hughes Performing Arts Center", "Wells Theatre", "Oper der Stadt Bonn", "Wyndham's Theatre", "Capri Theatre", "The Anvil, Basingstoke", "Sheridan Opera House", "Missouri Theatre Center for the Arts", "Bradford Alhambra", "Daryl Roth Theatre", "San Gabriel Mission Playhouse", "Alchemical Theatre Laboratory", "La Cigale", "Tarragon Theatre", "The Westcott Theater", "Omaha Community Playhouse", "Corn Exchange, Newbury", "Drury Lane Theatre and Conference Center", "Englert Theatre", "Fox Tucson Theatre", "Minack Theatre", "Kirk Douglas Theatre", "Booth Theatre", "Pasadena Playhouse", "Roxy Theatre", "Lantern Theatre", "Birmingham Town Hall", "Seaport Hotel and Seaport World Trade Center", "Shalin Liu Performance Center", "Apollo Theater Chicago", "Glasgow Film Theatre", "Westside Theatre", "Woodland Opera House", "Oxford Playhouse", "His Majesty's Theatre, Perth", "Stadthalle Mülheim", "Dollar Cinema", "The World Famous Nashville Palace", "State Farm Arena", "Teatro Verdi", "Portage Theater", "Earl Smith Strand Theatre", "Andrew Johnson Theater", "Barre Opera House", "INTECH", "Aladdin Theater", "CSC Gazodobytchik", "CounterPULSE", "Palace Theatre, Westcliff-on-Sea", "Bloomsbury Theatre", "The Donkey", "Newberry Opera House", "Dundas Castle", "The Magnetic Field", "Prince of Wales Theatre", "Bearsville Theater", "Laura Pels Theatre", "Neptune Theatre", "Cutler Majestic Theatre", "The Drum", "Congress Theatre", "Baths Hall", "Haymarket Theatre", "Traverse Theatre", "Southern Theatre", "Paper Mill Playhouse", "Byrd Theatre", "The Ritz Theater", "Eugene O'Neill Theatre", "Birdland", "Garrick Theatre", "Yvonne Arnaud Theatre", "Tron Theatre", "Gem Theatre", "Princess Pavilion", "Mercury Theater", "The Bacon Theatre, Cheltenham", "Churchill Theatre", "Broadway Performance Hall", "Theatre Royal, Brighton", "BackStage Lounge", "Le Trabendo", "Corona Theatre", "Playhouse on Park", "Crescent Theatre", "Watermill Theatre", "Wigmore Hall", "The Eureka Theatre", "Kaufman Astoria Studios", "Orpheum Theater", "Imperial Theatre", "The Rose Theater", "Byham Theater", "Saalbau Neukölln", "Hackney Empire", "Alley Theatre", "Weymouth Pavilion", "Historische Stadthalle", "Palace Theatre, London", "The Dairy Center for the Arts", "Theatre On the Square", "Wilton's Music Hall", "De Kleine Komedie", "Teatro Regio", "Riviera Theatre", "Rio Theatre", "August Wilson Theatre", "West Side Theatre", "Almeida Theatre", "Ulster Hall", "Colonial Theatre", "Peacock Theatre", "Arts Court", "Gielgud Theatre", "Attucks Theatre", "Lincoln Theatre", "Hollywood Theatre", "City Lights Theater Company of San Jose", "Riverside Resort Hotel & Casino", "Embassy Theatre, Wellington", "The Space", "Lake Worth Playhouse", "Bridge View Center", "Casino Regina", "Stafford Centre", "Gramercy Theatre", "Linbury Studio Theatre", "Fox Theatre", "Howard Theatre", "Lyric Theatre", "Dee and Charles Wyly Theatre", "The Majestic Ventura Theater", "Brooks Atkinson Theatre", "Imperial Theatre", "Tarrytown Music Hall", "Pickwick Theatre", "San Jose Repertory Theatre", "Plaza Theater", "Acorn Theatre", "Cabaret at Theater Square", "Duke of York's Theatre", "Novellus Theater", "Webster Theater", "Apollo Theatre", "Long Beach Playhouse", "Melbourne Recital Centre", "Crystal Ballroom", "Long Wharf Theatre", "Symphony Space", "The Tampa Theatre and Office Building", "Piccadilly Theatre", "Kulturladen KFZ", "The End", "International House Philadelphia", "Samuel J. Friedman Theatre", "Kirkland Performance Center", "Monte Carlo Resort and Casino", "Emelin Theatre", "Lakewood Cultural Center", "Opera House, Wellington", "Greenwich Theatre", "York Theatre", "Laurie Beechman Theatre", "Victoria Theatre", "Hull New Theatre", "LG Arts Center", "Centerstage", "Actors Theatre of San Francisco", "Tivoli Theatre", "Grand Theatre, Swansea", "Mercury Theatre, Auckland", "The Vic Theatre", "St Martin's Theatre", "The Playhouse, Weston-super-Mare", "Theater Wit", "Lost Theatre", "Neighborhood Theatre", "Carolina Theatre of Greensboro", "Arlington Music Hall", "York Hall", "The Göteborg Opera", "Liberty Hall", "Temple Nightclub", "Orpheus Theatre and Convention Centre", "Whisky a Go Go", "Queen's Theatre", "Hen and Chickens Theatre", "Mayo Performing Arts Center", "Bernard B. Jacobs Theatre", "Manhattan Movement & Art Center", "Bardavon 1869 Opera House", "Phoenix Concert Theatre", "McDonald Theatre", "Stadsschouwburg Groningen", "Koninklijke Schouwburg", "Khudozhestvenny Cinema", "Irving Theater", "Open Air Theatre, Regent's Park", "Theatre Royal, Windsor", "Ambassadors Theatre London", "Dix Hills Performing Arts Center", "Gate Theatre", "Variety Playhouse", "Segerstrom Center for the Arts", "Edison Theatre", "Royal Exchange, Manchester", "Theatre Royal, Newcastle", "The Fillmore", "Sellersville Theater 1894", "Hungarian State Opera House", "Gerald Schoenfeld Theatre", "Lexington Opera House", "Broadway Playhouse at Water Tower Place", "City Recital Hall", "Phoenix Theatre", "Du Burns Arena", "John Golden Theatre", "The Blind Tiger", "Brisbane Powerhouse", "Helen Hayes Theatre", "Liverpool Playhouse", "Hu Ke Lau", "Jubilee Theatre", "Queensborough Performing Arts Center", "Cambridge Theatre", "De Oosterpoort", "Harrogate Theatre", "Alberta Rose Theatre", "Cort Theatre", "Snapple Theater Center", "Arnolfini", "Nandan", "1st Stage Theater", "Somerville Theatre", "Carpenter Performing Arts Center", "Chichester Festival Theatre", "James K. Polk Theater", "Linda Johnson Smith Soccer Stadium", "Carolina Inn", "El Rey Theater", "Ford's Theatre National Historic Site", "Center Stage", "Sheldonian Theatre", "Atlas Performing Arts Center", "Ethel Barrymore Theatre", "Rockwood Music Hall", "Fox Theatre", "Criterion Theatre", "Richard Rodgers Theatre", "14th Street Playhouse", "Kent Stage", "Belcourt Theatre", "Suncoast Hotel and Casino", "Hill Country Barbecue Market", "Mill Volvo Tyne Theatre", "City Varieties Music Hall", "Jefferson Theater", "Camden Palace", "Fortune Theatre, Dunedin", "The PSALM Salon", "Studio 54", "Castro Theatre", "Rickshaw Theatre", "Theatre Asylum", "Hotel Astoria", "Swan Theatre", "Soho Theatre", "Viper Alley", "Actors Theatre of Louisville", "Writers' Theatre", "West Yorkshire Playhouse", "Friedrich-Ebert-Halle", "Glyndebourne", "Hoxton Hall", "Théâtre des Bouffes du Nord", "One Longfellow Square", "International City Theatre", "Infinity Hall", "Die Wühlmäuse", "The Grove Theatre", "Tollhaus", "Broadhurst Theatre", "Tipitina's", "ImaginOn", "Théâtre Hector-Charland" ], "function": "<=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 <= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 121000300, "question": "which venues have a maximum capacity no larger than 1417?", "answer": [ "The Tivoli Theatre", "Stadium Building", "Blue Man Group Sharp Aquos Theatre", "The Paramount Theatre", "Long Beach Playhouse", "The Strand", "Vicar Street", "Alley Theatre", "Donmar Warehouse", "Carr's Corner", "Grand Opera House, Belfast", "The Old Vic", "Khudozhestvenny Cinema", "Manhattan Movement & Art Center", "City Theatre", "Kent Stage", "Medicine Hat Athletic Park", "Temple Nightclub", "Oriental Theater", "Teatro Comunale di Bologna", "Wigmore Hall", "Kulturladen KFZ", "Koninklijke Schouwburg", "Theatre Royal, Bristol", "Ale Emporium", "The Fillmore", "Theatre Asylum", "Melton Theatre", "Trafalgar Studios", "Nederlander Theatre", "Patronaat", "Theatre Royal, Bath", "Belcourt Theatre", "Istana Budaya", "Headhunters", "Theatre Royal", "George Street Playhouse", "Wyndham's Theatre", "The Westcott Theater", "Novellus Theater", "Arts Court", "Capitol Theatre", "Lakewood Playhouse, theatre", "Fortune Theatre", "Olympia de Montreal", "De Oosterpoort", "Alberta Rose Theatre", "Helen Hayes Theatre", "1st Stage Theater", "Historische Stadthalle", "Harrogate Theatre", "Englert Theatre", "August Wilson Theatre", "Segerstrom Center for the Arts", "Cort Theatre", "Wells Theatre", "Long Wharf Theatre", "Minack Theatre", "Glasgow Film Theatre", "Dee and Charles Wyly Theatre", "Théâtre Lionel-Groulx", "Gloria-Theater", "Westside Theatre", "Orpheum Theater", "Opera House, Wellington", "Sierra 2 Center for the Arts and Community", "Circle in the Square Theatre", "Prince of Wales Theatre", "Oper der Stadt Bonn", "Garrick Theatre", "Kassablanca Gleis1", "Newberry Opera House", "Le Trabendo", "New Victoria Theatre", "Columbia City Theater", "Liverpool Playhouse", "Hungarian State Opera House", "Tower Theatre", "Ambassador Cinema", "Lincoln Theatre", "Grünspan Club", "Sellersville Theater 1894", "Joyce Theater", "Webster Theater", "Arcata Theatre", "Laura Pels Theatre", "Yvonne Arnaud Theatre", "City Varieties Music Hall", "Hull New Theatre", "One Longfellow Square", "Lyric Theatre, London", "Royal Lyceum Theatre", "Brooks Atkinson Theatre", "Mayne Stage", "Earl Smith Strand Theatre", "Charleston Music Hall", "Everyman Palace Theatre", "Duke Energy Theatre", "Bankhead Theater", "Doncaster Civic Theatre", "Carpenter Performing Arts Center", "Fox Theatre", "St Martin's Theatre", "Tricycle Theatre", "Theater Wit", "The Dairy Center for the Arts", "Tarrytown Music Hall", "Melbourne Athenaeum", "Geffen Playhouse", "Lyceum Theatre", "The PSALM Salon", "Duke of York's Theatre", "Open Air Theatre, Regent's Park", "Princess Pavilion", "Traverse Theatre", "Omaha Community Playhouse", "Apollo Theatre", "San Jose Repertory Theatre", "El Rey Theater", "Teatro Sociale", "TIPI am Kanzleramt", "Neptune Theatre", "Saalbau Neukölln", "Folino Theatre Center", "Dix Hills Performing Arts Center", "The Hexagon", "Bijou Theatre", "Peery's Egyptian Theater", "The Eureka Theatre", "Grand Opera House", "Sheridan Opera House", "Vaudeville Theatre", "Westhampton Beach Performing Arts Center", "Uptown Theatre", "TCL Chinese Theatre", "Aladdin Theater", "Studio 54", "Edison Theatre", "Cutler Majestic Theatre", "CounterPULSE", "ImaginOn", "Astor Cinema", "Sanders Theater", "Hackney Empire", "Lincoln Theatre", "Bernard B. Jacobs Theatre", "Brisbane Powerhouse", "The Grove Theatre", "The Magnetic Field", "Crystal Ballroom", "Lyric Theatre", "Actors Theatre of Louisville", "Chichester Festival Theatre", "Tron Theatre", "Hotel Astoria", "Muffathalle", "The Underground", "Cork Opera House", "Ulster Hall", "Piccadilly Theatre", "Noël Coward Theatre", "Unicorn Theatre", "Hoxton Hall", "Corona Theatre", "RADA Studios", "Esther's Follies", "St. Luke's Theatre", "Lexington Opera House", "C2G Music Hall", "Jubilee Theatre", "New Century Theatre", "Riviera Theatre", "Camden Palace", "The Scoop", "Rio Theatre", "Hen and Chickens Theatre", "John Golden Theatre", "Cambridge Theatre", "Old Town Center for The Arts", "Andrew Johnson Theater", "Birmingham Repertory Theatre", "Mayfair Theatre", "Southern Theatre", "Stafford Centre", "Lyceum Theatre", "Theatre Royal, Newcastle", "Broadway Playhouse at Water Tower Place", "York Theatre", "Aberystwyth Arts Centre", "LG Arts Center", "Eden Court Theatre", "Phoenix Theatre", "State Farm Arena", "Actors Theatre of San Francisco", "Le Divan du Monde", "Liberty Hall", "The Sugarmill", "Mill Volvo Tyne Theatre", "Booth Theatre", "Churchill Theatre", "Shalin Liu Performance Center", "Walnut Street Theatre", "The Cellars at Eastney", "Symphony Space", "New Hazlett Theater", "Kaufman Astoria Studios", "The End", "Stadthalle Mülheim", "Theatre Royal, Brighton", "Plaza Theater", "Riverside Resort Hotel & Casino", "Shaftesbury Theatre", "The Winter Garden Theatre", "Whisky a Go Go", "Corn Exchange, Newbury", "The Playhouse, Weston-super-Mare", "Palace Theatre, London", "Theater Duisburg", "Broadway Performance Hall", "Whitefire Theatre", "Belasco Theatre", "Landis Theater", "The Embassy Theatre", "Watermill Theatre", "Théâtre Hector-Charland", "Leicester Square Theatre", "Imperial Theatre", "West Side Theatre", "Charles Theatre", "Drury Lane Theatre and Conference Center", "Lyric Theatre", "Byrd Theatre", "Acorn Theatre", "Neighborhood Theatre", "Gielgud Theatre", "iO Theater", "Gramercy Theatre", "Ambassadors Theatre London", "Richard Rodgers Theatre", "Gerald Schoenfeld Theatre", "Harold Pinter Theatre", "The Space", "Pasadena Playhouse", "Fitzgerald Theater", "Atlas Performing Arts Center", "Embassy Theatre, Wellington", "Missouri Theatre Center for the Arts", "Le Petit Trianon Theatre", "Portage Theater", "Fox Event Center", "Fox Theatre", "The Opera House", "Wilton's Music Hall", "Castro Theatre", "Linbury Studio Theatre", "Milton Keynes Theatre", "The Anvil, Basingstoke", "Fortune Theatre, Dunedin", "Crescent Theatre", "Nandan", "The World Famous Nashville Palace", "Lake Worth Playhouse", "The Vic Theatre", "Hollywood Theatre", "York Hall", "The Garage", "Phoenix Theatre", "The Lion Theatre", "Royal Horseguards Hotel", "Buxton Opera House", "Soho Theatre", "Oldham Coliseum Theatre", "Cadogan Hall", "His Majesty's Theatre, Perth", "Troxy", "Flynn Center for the Performing Arts", "Varsity", "Carolina Inn", "North Shore Center for the Performing Arts in Skokie", "New Theatre, Cardiff", "Le Trianon", "Pocahontas County Opera House", "Arnolfini", "Gate Theatre", "Somerville Theatre", "Abbey Theatre", "Novello Theatre", "High Point Theatre", "The Derngate Theatre", "Trinity Repertory Company", "Mercury Theater", "The Albany", "Irving Theater", "The Stephen Sondheim Theatre", "Emelin Theatre", "Dundas Castle", "Kentucky Theater", "Battersea Arts Centre", "Westchester Playhouse", "Langston Hughes Performing Arts Center", "Ohio Theatre", "100 Club", "Jack Couch Stadium", "Red Robinson Show Theatre", "Greenwich Theatre", "Kirk Douglas Theatre", "Sherman Theater", "Cockpit Theatre, Marylebone", "Octagon Theatre, Bolton", "Fox Tucson Theatre", "Tipitina's", "Menier Chocolate Factory", "Stephen Joseph Theatre", "Grand Theatre, Swansea", "Madlenianum Opera and Theatre", "Palace Theatre", "Jefferson Theater", "Teatro Regio", "Writers' Theatre", "The Wedgewood Rooms", "Theatre On the Square", "Park Theatre Cafe", "Triad Theater", "The Space", "Sutter Creek Theatre", "Orpheum Theatre", "Arts Theatre", "El Rey Theatre", "Punchline Comedy Club", "Ford's Theatre", "14th Street Playhouse", "Mercury Theatre, Auckland", "Shaw Theatre", "Pabst Theater", "Fire Hall Theatre", "Herbst Theatre", "Lost Theatre", "The Jane", "Kimmel Center for the Performing Arts", "Linda Johnson Smith Soccer Stadium", "The Broadway Theatre of Pitman", "Tremont Music Hall", "Royal Court Theatre", "The Miracle Theater", "Peacock Theatre", "White Rock Theatre", "Phoenix Concert Theatre", "The Majestic Ventura Theater", "Teatro Verdi", "Viper Alley", "Zeiterion Theatre", "Byham Theater", "Santa Clarita Performing Arts Center at College of the Canyons", "The Orchard Theatre", "Screen Cinema", "Infinity Hall", "Bloomsbury Theatre", "Belgrade Theatre", "Lakewood Cultural Center", "Birdland", "Victoria Theatre", "Her Majesty's Theatre", "American Players Theatre", "Aldwych Theatre", "City Recital Hall", "Daryl Roth Theatre", "Old Red Lion Theatre", "Mary G. Steiner Egyptian Theatre", "Pickwick Theatre", "Cabaret at Theater Square", "The Katharine Hepburn Cultural Arts Center", "Jazzhus Montmartre", "Swan Theatre", "Tivoli Theatre", "Rialto Theater", "West Yorkshire Playhouse", "Dollar Cinema", "City Lights Theater Company of San Jose", "Flying Monkey Movie House & Performance Center", "Magic Bag", "Oxford Playhouse", "The Drum", "Bardavon 1869 Opera House", "Haw River Ballroom", "Tarragon Theatre", "Centrepointe Theatre", "The Blind Tiger", "Wheeler Opera House", "Wilshire Ebell Theatre", "Roxy Theatre", "Paper Mill Playhouse", "Vienna Volksoper", "CSC Gazodobytchik", "Friedrich-Ebert-Halle", "The Black Box", "Crucible Theatre", "Hanford Fox Theater", "The Göteborg Opera", "Richmond Theatre", "Congress Theatre", "Palace Theatre, Westcliff-on-Sea", "Baths Hall", "Grand Guignol", "Northern Stage, Newcastle upon Tyne", "French Laundry", "Woodland Opera House", "Criterion Theatre", "John Bassett Theatre", "Stadsschouwburg Haarlem", "Cactus Theater", "Bradford Alhambra", "Alchemical Theatre Laboratory", "Hill Country Barbecue Market", "INTECH", "Royal Court Theatre, Liverpool", "Samuel J. Friedman Theatre", "James K. Polk Theater", "Lantern Theatre", "Théâtre des Bouffes du Nord", "CCT Park Street Theatre", "Salvage Vanguard Theater", "The Royal Theatre", "Grand Theatre, Blackpool", "Brattle Theatre", "Savoy Theatre", "Factory Theatre", "International City Theatre", "Palace Theatre", "New London Theatre", "Casino Théâtre Barrière de Toulouse", "De Kleine Komedie", "Centerstage", "Likio Agiou Athanasiou", "Weinberg Center for the Arts", "Birch North Park Theatre", "Gem Theatre", "Northcott Theatre", "Melbourne Recital Centre", "Konzerthalle Ulrichskirche", "Hampstead Theatre", "Assembly Hall Theatre, Tunbridge Wells", "Olympia Theatre", "Nottingham Playhouse", "Third Avenue Playhouse", "Bearsville Theater", "The Ritz Theater", "Casino Regina", "Royal Exchange, Manchester", "Colonial Theatre", "The Tampa Theatre and Office Building", "Young Vic", "Neptune Theatre", "Howard Theatre", "Kirkland Performance Center", "Capri Theatre", "Royal Theatre", "Boulder Theater", "Royal Shakespeare Company", "Norwich Playhouse", "The Astor Theatre", "Variety Playhouse", "Playhouse on Park", "Carolina Theatre", "7th Street Theatre", "Die Wühlmäuse", "Walter Kerr Theatre", "Snapple Theater Center", "Mayo Performing Arts Center", "Hudson Hotel", "Hartford Stage", "Laurie Beechman Theatre", "Theatre Royal, Windsor", "Dance Theater Workshop", "New Alexandra Theatre", "Imperial Theatre", "Monte Carlo Resort and Casino", "Rooster T Feathers Comedy Club", "Citizens Theatre", "Arlington Music Hall", "State Theatre of Modesto", "The Donkey", "Central Theatre Box Office", "Duchess Theatre", "Attucks Theatre", "Dance Mission Theater", "Suncoast Hotel and Casino", "Curve", "Ethel Barrymore Theatre", "BackStage Lounge", "The Rapids Theatre", "Seaport Hotel and Seaport World Trade Center", "Central Social Aid and Pleasure Club", "Arcada Theater Building", "Alban Arena", "Joiners Arms", "Rickshaw Theatre", "Main Street Theater", "La Cigale", "Eugene O'Neill Theatre", "The Address Dubai Mall", "The Quad Resort and Casino", "Queensborough Performing Arts Center", "Lucille Lortel Theatre", "Main Street Theater", "International House Philadelphia", "Live Theatre Company", "Center Stage", "McDonald Theatre", "Orpheus Theatre and Convention Centre", "John A. Ryan Arena", "San Gabriel Mission Playhouse", "Film Forum", "Hu Ke Lau", "Broadhurst Theatre", "Diana Wortham Theatre", "The Rose Theater", "Westport Country Playhouse", "Du Burns Arena", "Weymouth Pavilion", "Johnny D's Uptown Restaurant & Music Club", "Glyndebourne", "Birmingham Town Hall", "Sheldonian Theatre", "Florida Strawberry Festival Grounds", "The Spa, Bridlington", "Playhouse Theatre", "Rendezvous", "Bridge View Center", "Haymarket Theatre", "Tony Burger Center", "Tollhaus", "Wyvern Theatre", "Barre Opera House", "Almeida Theatre", "Savoy Theater", "Firs Park", "Carolina Theatre of Greensboro", "Apollo Theater Chicago", "Montgomery Theater", "Rockwood Music Hall", "Ford's Theatre National Historic Site", "The Bacon Theatre, Cheltenham", "Stadsschouwburg Groningen", "Epsom Playhouse", "Ridgefield Playhouse", "Park Theatre", "Komische Oper Berlin", "Queen's Theatre", "Alhambra" ], "function": "<=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 <= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 121000400, "question": "what venues allow at most 1417 people?", "answer": [ "The Albany", "Film Forum", "City Varieties Music Hall", "Long Wharf Theatre", "The Hexagon", "Center Stage", "Bardavon 1869 Opera House", "Tarrytown Music Hall", "Hotel Astoria", "The Donkey", "Sierra 2 Center for the Arts and Community", "Firs Park", "Dance Mission Theater", "Fox Theatre", "Cort Theatre", "Unicorn Theatre", "Walnut Street Theatre", "Ridgefield Playhouse", "Monte Carlo Resort and Casino", "Bloomsbury Theatre", "Kent Stage", "Medicine Hat Athletic Park", "Yvonne Arnaud Theatre", "Liverpool Playhouse", "Live Theatre Company", "Theatre Royal", "His Majesty's Theatre, Perth", "Centrepointe Theatre", "Oper der Stadt Bonn", "Hanford Fox Theater", "Le Trianon", "Westchester Playhouse", "International City Theatre", "Folino Theatre Center", "Actors Theatre of Louisville", "Epsom Playhouse", "Oldham Coliseum Theatre", "West Yorkshire Playhouse", "Dix Hills Performing Arts Center", "Gem Theatre", "Lincoln Theatre", "The Grove Theatre", "Carolina Inn", "The Old Vic", "Theatre Royal, Bristol", "Tricycle Theatre", "Octagon Theatre, Bolton", "Mayfair Theatre", "The Tivoli Theatre", "Stephen Joseph Theatre", "Charleston Music Hall", "Arcada Theater Building", "Woodland Opera House", "Grand Guignol", "Stadsschouwburg Haarlem", "Bradford Alhambra", "The Westcott Theater", "Queen's Theatre", "Peery's Egyptian Theater", "Lexington Opera House", "Arts Court", "Landis Theater", "Southern Theatre", "Shaftesbury Theatre", "Weymouth Pavilion", "Kimmel Center for the Performing Arts", "Grand Opera House, Belfast", "Actors Theatre of San Francisco", "Olympia de Montreal", "Birdland", "Jazzhus Montmartre", "Booth Theatre", "Studio 54", "Teatro Comunale di Bologna", "Oriental Theater", "Neighborhood Theatre", "Royal Court Theatre, Liverpool", "Garrick Theatre", "Patronaat", "Soho Theatre", "Shaw Theatre", "Glasgow Film Theatre", "Battersea Arts Centre", "The Scoop", "Sutter Creek Theatre", "Broadhurst Theatre", "Belcourt Theatre", "Assembly Hall Theatre, Tunbridge Wells", "CounterPULSE", "The Rapids Theatre", "Riverside Resort Hotel & Casino", "Gielgud Theatre", "Palace Theatre", "Richmond Theatre", "Alberta Rose Theatre", "Santa Clarita Performing Arts Center at College of the Canyons", "Dance Theater Workshop", "State Theatre of Modesto", "Royal Exchange, Manchester", "Apollo Theater Chicago", "Northcott Theatre", "City Lights Theater Company of San Jose", "Dollar Cinema", "Gerald Schoenfeld Theatre", "Novello Theatre", "Madlenianum Opera and Theatre", "El Rey Theater", "Arcata Theatre", "Neptune Theatre", "Ethel Barrymore Theatre", "Royal Horseguards Hotel", "Bernard B. Jacobs Theatre", "Théâtre des Bouffes du Nord", "Her Majesty's Theatre", "Central Social Aid and Pleasure Club", "1st Stage Theater", "The Astor Theatre", "Royal Lyceum Theatre", "Birmingham Repertory Theatre", "Istana Budaya", "Zeiterion Theatre", "14th Street Playhouse", "Princess Pavilion", "The Bacon Theatre, Cheltenham", "Stadium Building", "Hu Ke Lau", "Teatro Verdi", "Hoxton Hall", "Fox Tucson Theatre", "Cutler Majestic Theatre", "Carolina Theatre of Greensboro", "Central Theatre Box Office", "Mayo Performing Arts Center", "Lincoln Theatre", "Casino Théâtre Barrière de Toulouse", "Long Beach Playhouse", "The Jane", "7th Street Theatre", "Criterion Theatre", "Tipitina's", "Ambassadors Theatre London", "Northern Stage, Newcastle upon Tyne", "Acorn Theatre", "Saalbau Neukölln", "Factory Theatre", "Crucible Theatre", "Stafford Centre", "The Broadway Theatre of Pitman", "Haymarket Theatre", "Brisbane Powerhouse", "Viper Alley", "Pasadena Playhouse", "New Century Theatre", "Byham Theater", "Queensborough Performing Arts Center", "Imperial Theatre", "The Majestic Ventura Theater", "Missouri Theatre Center for the Arts", "Ulster Hall", "John A. Ryan Arena", "The Katharine Hepburn Cultural Arts Center", "The Ritz Theater", "The Orchard Theatre", "Vicar Street", "The Quad Resort and Casino", "Colonial Theatre", "Laura Pels Theatre", "Troxy", "The Derngate Theatre", "St Martin's Theatre", "Blue Man Group Sharp Aquos Theatre", "Whitefire Theatre", "Hill Country Barbecue Market", "Hampstead Theatre", "CSC Gazodobytchik", "Haw River Ballroom", "Flying Monkey Movie House & Performance Center", "Konzerthalle Ulrichskirche", "John Bassett Theatre", "The Magnetic Field", "Capri Theatre", "Jack Couch Stadium", "De Kleine Komedie", "Weinberg Center for the Arts", "Ambassador Cinema", "Richard Rodgers Theatre", "Teatro Regio", "Edison Theatre", "Wells Theatre", "Circle in the Square Theatre", "Theater Duisburg", "Tron Theatre", "Open Air Theatre, Regent's Park", "Laurie Beechman Theatre", "Doncaster Civic Theatre", "Park Theatre", "Phoenix Theatre", "Ale Emporium", "Theatre Royal, Newcastle", "Opera House, Wellington", "The Tampa Theatre and Office Building", "Writers' Theatre", "Duke Energy Theatre", "French Laundry", "Glyndebourne", "Apollo Theatre", "The End", "The Wedgewood Rooms", "Churchill Theatre", "Segerstrom Center for the Arts", "Brattle Theatre", "Piccadilly Theatre", "Geffen Playhouse", "Snapple Theater Center", "Lucille Lortel Theatre", "Dee and Charles Wyly Theatre", "Sanders Theater", "Komische Oper Berlin", "Pocahontas County Opera House", "Hungarian State Opera House", "The Paramount Theatre", "Milton Keynes Theatre", "Young Vic", "Pickwick Theatre", "Arts Theatre", "New Alexandra Theatre", "Headhunters", "Temple Nightclub", "Carr's Corner", "Le Divan du Monde", "Friedrich-Ebert-Halle", "Jubilee Theatre", "Stadsschouwburg Groningen", "Astor Cinema", "Hen and Chickens Theatre", "Fox Theatre", "Abbey Theatre", "The Anvil, Basingstoke", "Theatre Royal, Bath", "Dundas Castle", "New Victoria Theatre", "Montgomery Theater", "Grand Theatre, Swansea", "Castro Theatre", "Trafalgar Studios", "York Theatre", "Noël Coward Theatre", "The Lion Theatre", "Corn Exchange, Newbury", "The Stephen Sondheim Theatre", "Lyceum Theatre", "Lantern Theatre", "Harold Pinter Theatre", "Pabst Theater", "The Blind Tiger", "Charles Theatre", "The Drum", "Third Avenue Playhouse", "Sellersville Theater 1894", "Tremont Music Hall", "Theatre Royal, Windsor", "Attucks Theatre", "TCL Chinese Theatre", "White Rock Theatre", "One Longfellow Square", "Peacock Theatre", "York Hall", "Kirk Douglas Theatre", "Kentucky Theater", "Lakewood Cultural Center", "Tony Burger Center", "Uptown Theatre", "Carpenter Performing Arts Center", "Alchemical Theatre Laboratory", "Oxford Playhouse", "The Miracle Theater", "Howard Theatre", "Teatro Sociale", "Florida Strawberry Festival Grounds", "Tollhaus", "City Recital Hall", "Mill Volvo Tyne Theatre", "Earl Smith Strand Theatre", "Johnny D's Uptown Restaurant & Music Club", "Andrew Johnson Theater", "Webster Theater", "Nandan", "Bridge View Center", "Crescent Theatre", "Omaha Community Playhouse", "The Address Dubai Mall", "Samuel J. Friedman Theatre", "Fox Event Center", "Esther's Follies", "Kaufman Astoria Studios", "Mercury Theater", "The Opera House", "The Cellars at Eastney", "LG Arts Center", "Centerstage", "Wyvern Theatre", "Liberty Hall", "Rockwood Music Hall", "The PSALM Salon", "Buxton Opera House", "Nederlander Theatre", "Columbia City Theater", "Grand Opera House", "Shalin Liu Performance Center", "Royal Court Theatre", "Langston Hughes Performing Arts Center", "Capitol Theatre", "Mary G. Steiner Egyptian Theatre", "George Street Playhouse", "McDonald Theatre", "Lyric Theatre, London", "Arnolfini", "Le Trabendo", "Traverse Theatre", "Walter Kerr Theatre", "Everyman Palace Theatre", "Gloria-Theater", "Orpheus Theatre and Convention Centre", "Belasco Theatre", "Phoenix Concert Theatre", "Camden Palace", "Cambridge Theatre", "Théâtre Lionel-Groulx", "August Wilson Theatre", "Boulder Theater", "Théâtre Hector-Charland", "Jefferson Theater", "Westhampton Beach Performing Arts Center", "Theatre Royal, Brighton", "Baths Hall", "Cadogan Hall", "Congress Theatre", "Palace Theatre, London", "The Space", "Belgrade Theatre", "Olympia Theatre", "Eden Court Theatre", "Fortune Theatre, Dunedin", "Bankhead Theater", "Broadway Playhouse at Water Tower Place", "Novellus Theater", "Grand Theatre, Blackpool", "Daryl Roth Theatre", "De Oosterpoort", "Hull New Theatre", "New Hazlett Theater", "Lake Worth Playhouse", "Orpheum Theater", "Tivoli Theatre", "Phoenix Theatre", "Main Street Theater", "Theatre Asylum", "Cactus Theater", "The Strand", "Orpheum Theatre", "The World Famous Nashville Palace", "Barre Opera House", "CCT Park Street Theatre", "Magic Bag", "State Farm Arena", "Tower Theatre", "Casino Regina", "iO Theater", "Donmar Warehouse", "Main Street Theater", "Harrogate Theatre", "Chichester Festival Theatre", "Byrd Theatre", "Neptune Theatre", "Fire Hall Theatre", "Park Theatre Cafe", "Mayne Stage", "Joyce Theater", "Palace Theatre, Westcliff-on-Sea", "Trinity Repertory Company", "Lost Theatre", "Gate Theatre", "The Göteborg Opera", "The Sugarmill", "Minack Theatre", "Englert Theatre", "Kulturladen KFZ", "International House Philadelphia", "Hartford Stage", "Kirkland Performance Center", "Wilton's Music Hall", "Alley Theatre", "New Theatre, Cardiff", "James K. Polk Theater", "Ford's Theatre", "Muffathalle", "Paper Mill Playhouse", "Die Wühlmäuse", "BackStage Lounge", "The Fillmore", "American Players Theatre", "Leicester Square Theatre", "Birmingham Town Hall", "Variety Playhouse", "Gramercy Theatre", "ImaginOn", "Greenwich Theatre", "Cork Opera House", "Sheridan Opera House", "Emelin Theatre", "Sheldonian Theatre", "Menier Chocolate Factory", "Fortune Theatre", "Cockpit Theatre, Marylebone", "Eugene O'Neill Theatre", "Symphony Space", "Drury Lane Theatre and Conference Center", "The Garage", "Victoria Theatre", "Nottingham Playhouse", "St. Luke's Theatre", "Watermill Theatre", "Duke of York's Theatre", "Embassy Theatre, Wellington", "Stadthalle Mülheim", "Wyndham's Theatre", "Grünspan Club", "Portage Theater", "Playhouse on Park", "Wheeler Opera House", "Tarragon Theatre", "Khudozhestvenny Cinema", "Screen Cinema", "Aladdin Theater", "The Underground", "Playhouse Theatre", "Broadway Performance Hall", "Roxy Theatre", "Koninklijke Schouwburg", "The Eureka Theatre", "Likio Agiou Athanasiou", "Melbourne Athenaeum", "Vaudeville Theatre", "Punchline Comedy Club", "Kassablanca Gleis1", "Aberystwyth Arts Centre", "City Theatre", "Lakewood Playhouse, theatre", "Curve", "Rendezvous", "Crystal Ballroom", "Bearsville Theater", "The Dairy Center for the Arts", "John Golden Theatre", "Wigmore Hall", "The Black Box", "Almeida Theatre", "Carolina Theatre", "Du Burns Arena", "Suncoast Hotel and Casino", "Salvage Vanguard Theater", "The Vic Theatre", "The Rose Theater", "Corona Theatre", "Diana Wortham Theatre", "Royal Shakespeare Company", "Whisky a Go Go", "El Rey Theatre", "High Point Theatre", "Herbst Theatre", "San Jose Repertory Theatre", "The Winter Garden Theatre", "Hackney Empire", "Flynn Center for the Performing Arts", "TIPI am Kanzleramt", "Westport Country Playhouse", "Cabaret at Theater Square", "Royal Theatre", "Irving Theater", "C2G Music Hall", "Seaport Hotel and Seaport World Trade Center", "Alhambra", "The Embassy Theatre", "New London Theatre", "Sherman Theater", "INTECH", "Melbourne Recital Centre", "Old Red Lion Theatre", "The Space", "Rio Theatre", "Wilshire Ebell Theatre", "Theater Wit", "Plaza Theater", "Manhattan Movement & Art Center", "Vienna Volksoper", "Lyric Theatre", "San Gabriel Mission Playhouse", "Swan Theatre", "Joiners Arms", "100 Club", "Theatre On the Square", "Helen Hayes Theatre", "Savoy Theatre", "Melton Theatre", "West Side Theatre", "Birch North Park Theatre", "Ohio Theatre", "Alban Arena", "Le Petit Trianon Theatre", "Mercury Theatre, Auckland", "North Shore Center for the Performing Arts in Skokie", "Citizens Theatre", "Fitzgerald Theater", "Somerville Theatre", "Arlington Music Hall", "Historische Stadthalle", "Atlas Performing Arts Center", "Ford's Theatre National Historic Site", "Linda Johnson Smith Soccer Stadium", "Hollywood Theatre", "Red Robinson Show Theatre", "Palace Theatre", "Westside Theatre", "Varsity", "Linbury Studio Theatre", "The Royal Theatre", "Old Town Center for The Arts", "RADA Studios", "Duchess Theatre", "Prince of Wales Theatre", "Bijou Theatre", "Hudson Hotel", "Savoy Theater", "Riviera Theatre", "Rickshaw Theatre", "Imperial Theatre", "Rooster T Feathers Comedy Club", "La Cigale", "Brooks Atkinson Theatre", "Lyceum Theatre", "Lyric Theatre", "Infinity Hall", "The Spa, Bridlington", "Newberry Opera House", "The Playhouse, Weston-super-Mare", "Rialto Theater", "Aldwych Theatre", "Norwich Playhouse", "Triad Theater" ], "function": "<=", "commonness": -13.143543406313972, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.venue", "class": "architecture.venue", "friendly_name": "Venue", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1417^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "1417", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.venue . \nFILTER (?x1 <= 1417)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 122000000, "question": "list volume units greater or equal to 0.00727373 meters cubed.", "answer": [ "Gallon (Scots)", "Peck (US)", "Cubic mile", "Beer barrel (UK)", "Bushel (Imperial)", "Cubic metre", "Peck (Imperial)", "Oil barrel", "Beer barrel (US)", "Cubic kilometer", "Hectoliter", "Cubic foot", "Bushel (US)" ], "function": ">=", "commonness": -16.920730397689574, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.volume_unit", "class": "measurement_unit.volume_unit", "friendly_name": "Unit Of Volume", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "0.00727373^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "0.00727373", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.volume_unit.volume_in_cubic_meters", "friendly_name": "Volume In Cubic Meters" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.volume_unit . \nFILTER (?x1 >= 0.00727373)\n?x0 :measurement_unit.volume_unit.volume_in_cubic_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 122000100, "question": "what are the volume units that equals at least 0.00727373 cubic meters?", "answer": [ "Cubic mile", "Peck (Imperial)", "Beer barrel (UK)", "Gallon (Scots)", "Peck (US)", "Bushel (US)", "Cubic metre", "Cubic foot", "Bushel (Imperial)", "Cubic kilometer", "Oil barrel", "Hectoliter", "Beer barrel (US)" ], "function": ">=", "commonness": -16.920730397689574, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.volume_unit", "class": "measurement_unit.volume_unit", "friendly_name": "Unit Of Volume", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "0.00727373^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "0.00727373", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.volume_unit.volume_in_cubic_meters", "friendly_name": "Volume In Cubic Meters" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.volume_unit . \nFILTER (?x1 >= 0.00727373)\n?x0 :measurement_unit.volume_unit.volume_in_cubic_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 122000200, "question": "what volume units are no less than 0.00727373 cubic meters per unit?", "answer": [ "Gallon (Scots)", "Cubic kilometer", "Bushel (US)", "Bushel (Imperial)", "Beer barrel (UK)", "Oil barrel", "Peck (US)", "Beer barrel (US)", "Hectoliter", "Cubic mile", "Cubic foot", "Peck (Imperial)", "Cubic metre" ], "function": ">=", "commonness": -16.920730397689574, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.volume_unit", "class": "measurement_unit.volume_unit", "friendly_name": "Unit Of Volume", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "0.00727373^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "0.00727373", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.volume_unit.volume_in_cubic_meters", "friendly_name": "Volume In Cubic Meters" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.volume_unit . \nFILTER (?x1 >= 0.00727373)\n?x0 :measurement_unit.volume_unit.volume_in_cubic_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 122000300, "question": "what units of volume are no less than 0.00727373 cubic meters per unit?", "answer": [ "Peck (Imperial)", "Bushel (US)", "Cubic foot", "Beer barrel (UK)", "Bushel (Imperial)", "Hectoliter", "Cubic mile", "Cubic metre", "Cubic kilometer", "Beer barrel (US)", "Oil barrel", "Gallon (Scots)", "Peck (US)" ], "function": ">=", "commonness": -16.920730397689574, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "measurement_unit.volume_unit", "class": "measurement_unit.volume_unit", "friendly_name": "Unit Of Volume", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "0.00727373^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "0.00727373", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "measurement_unit.volume_unit.volume_in_cubic_meters", "friendly_name": "Volume In Cubic Meters" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :measurement_unit.volume_unit . \nFILTER (?x1 >= 0.00727373)\n?x0 :measurement_unit.volume_unit.volume_in_cubic_meters ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 123000000, "question": "find cricket bowling paces no faster than 97 km/h.", "answer": [ "Medium Slow", "Slow" ], "function": "<=", "commonness": -20.403989141389708, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_bowling_pace", "class": "cricket.cricket_bowling_pace", "friendly_name": "Cricket Bowling Pace", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "97^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "97", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "cricket.cricket_bowling_pace.max_speed_kmph", "friendly_name": "Max Speed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :cricket.cricket_bowling_pace . \nFILTER (?x1 <= 97)\n?x0 :cricket.cricket_bowling_pace.max_speed_kmph ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 123000100, "question": "what cricket bowling paces have their max speed at most 97 km/h?", "answer": [ "Slow", "Medium Slow" ], "function": "<=", "commonness": -20.403989141389708, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_bowling_pace", "class": "cricket.cricket_bowling_pace", "friendly_name": "Cricket Bowling Pace", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "97^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "97", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "cricket.cricket_bowling_pace.max_speed_kmph", "friendly_name": "Max Speed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :cricket.cricket_bowling_pace . \nFILTER (?x1 <= 97)\n?x0 :cricket.cricket_bowling_pace.max_speed_kmph ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 123000200, "question": "which cricket bowling paces are slower than 97 km/h?", "answer": [ "Slow", "Medium Slow" ], "function": "<=", "commonness": -20.403989141389708, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_bowling_pace", "class": "cricket.cricket_bowling_pace", "friendly_name": "Cricket Bowling Pace", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "97^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "97", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "cricket.cricket_bowling_pace.max_speed_kmph", "friendly_name": "Max Speed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :cricket.cricket_bowling_pace . \nFILTER (?x1 <= 97)\n?x0 :cricket.cricket_bowling_pace.max_speed_kmph ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 123000300, "question": "search for cricket bowling paces with a maximum speed of 97 km an hour.", "answer": [ "Medium Slow", "Slow" ], "function": "<=", "commonness": -20.403989141389708, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "cricket.cricket_bowling_pace", "class": "cricket.cricket_bowling_pace", "friendly_name": "Cricket Bowling Pace", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "97^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "97", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "cricket.cricket_bowling_pace.max_speed_kmph", "friendly_name": "Max Speed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :cricket.cricket_bowling_pace . \nFILTER (?x1 <= 97)\n?x0 :cricket.cricket_bowling_pace.max_speed_kmph ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 124000000, "question": "find rockets with more than 2 stages.", "answer": [ "Vanguard", "Europa", "Dnepr launch vehicle", "Minotaur", "Atlas II", "Geosynchronous Satellite Launch Vehicle", "Long March 3B", "Jupiter-C", "Long March 3", "Black Arrow", "Saturn V", "Diamant", "Ariane 4", "Juno I", "Saturn C-8", "VLS-1", "Polar Satellite Launch Vehicle", "Taurus", "N1" ], "function": ">", "commonness": -16.603348596136406, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "2", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket.number_of_stages", "friendly_name": "Number Of Stages" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket . \nFILTER (?x1 > 2)\n?x0 :spaceflight.rocket.number_of_stages ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 124000100, "question": "what rocks have more than 2 stages?", "answer": [ "Ariane 4", "Minotaur", "Taurus", "N1", "Geosynchronous Satellite Launch Vehicle", "Black Arrow", "Saturn V", "Dnepr launch vehicle", "VLS-1", "Long March 3B", "Europa", "Atlas II", "Juno I", "Saturn C-8", "Jupiter-C", "Long March 3", "Polar Satellite Launch Vehicle", "Vanguard", "Diamant" ], "function": ">", "commonness": -16.603348596136406, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "2", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket.number_of_stages", "friendly_name": "Number Of Stages" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket . \nFILTER (?x1 > 2)\n?x0 :spaceflight.rocket.number_of_stages ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 124000200, "question": "search for all rockets consisting of more than 2 stages.", "answer": [ "Vanguard", "Long March 3B", "Black Arrow", "Ariane 4", "Polar Satellite Launch Vehicle", "Taurus", "VLS-1", "Atlas II", "Saturn C-8", "Long March 3", "Dnepr launch vehicle", "N1", "Jupiter-C", "Diamant", "Saturn V", "Geosynchronous Satellite Launch Vehicle", "Europa", "Minotaur", "Juno I" ], "function": ">", "commonness": -16.603348596136406, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "2", "question_node": 0, "function": ">" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket.number_of_stages", "friendly_name": "Number Of Stages" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.rocket . \nFILTER (?x1 > 2)\n?x0 :spaceflight.rocket.number_of_stages ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 125000000, "question": "find aircrafts with a cargo capacity of at least 6.4 square meters.", "answer": [ "Gulfstream G500", "Gulfstream G550", "Boeing 767-200", "Airbus A380" ], "function": ">=", "commonness": -16.864900172826232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.aircraft_model", "class": "aviation.aircraft_model", "friendly_name": "Aircraft model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.aircraft_model.cargo_capacity", "friendly_name": "Cargo Capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.aircraft_model . \nFILTER (?x1 >= 6.4)\n?x0 :aviation.aircraft_model.cargo_capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 125000100, "question": "which aircraft have a minimum cargo capacity of 6.4 square meters?", "answer": [ "Gulfstream G550", "Airbus A380", "Gulfstream G500", "Boeing 767-200" ], "function": ">=", "commonness": -16.864900172826232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.aircraft_model", "class": "aviation.aircraft_model", "friendly_name": "Aircraft model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.aircraft_model.cargo_capacity", "friendly_name": "Cargo Capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.aircraft_model . \nFILTER (?x1 >= 6.4)\n?x0 :aviation.aircraft_model.cargo_capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 125000200, "question": "which aircraft possess a cargo of 6.4 square meters or larger?", "answer": [ "Gulfstream G550", "Airbus A380", "Boeing 767-200", "Gulfstream G500" ], "function": ">=", "commonness": -16.864900172826232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.aircraft_model", "class": "aviation.aircraft_model", "friendly_name": "Aircraft model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.aircraft_model.cargo_capacity", "friendly_name": "Cargo Capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.aircraft_model . \nFILTER (?x1 >= 6.4)\n?x0 :aviation.aircraft_model.cargo_capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 125000300, "question": "which airplanes have at least 6.4 square meters in cargo capacity?", "answer": [ "Airbus A380", "Boeing 767-200", "Gulfstream G500", "Gulfstream G550" ], "function": ">=", "commonness": -16.864900172826232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.aircraft_model", "class": "aviation.aircraft_model", "friendly_name": "Aircraft model", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.4^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.4", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.aircraft_model.cargo_capacity", "friendly_name": "Cargo Capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.aircraft_model . \nFILTER (?x1 >= 6.4)\n?x0 :aviation.aircraft_model.cargo_capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000000, "question": "how many locks does the panama canal have?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "Panama Canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000001, "question": "how many locks does the panama channel have?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama channel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000002, "question": "how many locks does the panama ship canal have?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama ship canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000100, "question": "in the panama canal how many locks are there?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "Panama Canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000101, "question": "in the panama channel how many locks are there?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama channel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000102, "question": "in the panama ship canal how many locks are there?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama ship canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000200, "question": "how many locks are there in the panama canal?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "Panama Canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000201, "question": "how many locks are there in the panama channel?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama channel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000202, "question": "how many locks are there in the panama ship canal?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama ship canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000300, "question": "tell me the number of locks of the panama canal.", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "Panama Canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000301, "question": "tell me the number of locks of the panama channel.", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama channel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000302, "question": "tell me the number of locks of the panama ship canal.", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama ship canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000400, "question": "the panama canal contains how many different canal locks?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "Panama Canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000401, "question": "the panama channel contains how many different canal locks?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama channel", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 126000402, "question": "the panama ship canal contains how many different canal locks?", "answer": [ "3" ], "function": "count", "commonness": -18.049431392764877, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.engineering.canal_lock", "class": "base.engineering.canal_lock", "friendly_name": "Canal Lock", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.panama_canal", "class": "base.engineering.canal", "friendly_name": "panama ship canal", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.engineering.canal.locks", "friendly_name": "Locks" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.engineering.canal_lock . \nVALUES ?x1 { :en.panama_canal } \n?x1 :base.engineering.canal.locks ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 127000000, "question": "which tropical cyclone seasons have less than 12 major storms?", "answer": [ "1879 Atlantic hurricane season", "1903 Atlantic hurricane season", "1910 Atlantic hurricane season", "1912 Atlantic hurricane season", "1957 Atlantic hurricane season", "1877 Atlantic hurricane season", "1876 Atlantic hurricane season", "1899 Atlantic hurricane season", "1908 Atlantic hurricane season", "1905 Atlantic hurricane season", "1934 Atlantic hurricane season", "1958 Atlantic hurricane season", "1992 Atlantic hurricane season", "1935 Atlantic hurricane season", "1896 Atlantic hurricane season", "1875 Atlantic hurricane season", "1891 Atlantic hurricane season", "2005 Atlantic hurricane season" ], "function": "<", "commonness": -18.461893577025045, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_season", "class": "meteorology.tropical_cyclone_season", "friendly_name": "Tropical cyclone season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "12", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone_season.major_storms", "friendly_name": "Major storms (cat. 3 or higher)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone_season . \nFILTER (?x1 < 12)\n?x0 :meteorology.tropical_cyclone_season.major_storms ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 127000100, "question": "in which seasons of tropical cyclone are there less than 12 major storms?", "answer": [ "1958 Atlantic hurricane season", "1934 Atlantic hurricane season", "1903 Atlantic hurricane season", "1908 Atlantic hurricane season", "1992 Atlantic hurricane season", "1877 Atlantic hurricane season", "2005 Atlantic hurricane season", "1876 Atlantic hurricane season", "1935 Atlantic hurricane season", "1910 Atlantic hurricane season", "1891 Atlantic hurricane season", "1912 Atlantic hurricane season", "1899 Atlantic hurricane season", "1905 Atlantic hurricane season", "1957 Atlantic hurricane season", "1879 Atlantic hurricane season", "1896 Atlantic hurricane season", "1875 Atlantic hurricane season" ], "function": "<", "commonness": -18.461893577025045, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_season", "class": "meteorology.tropical_cyclone_season", "friendly_name": "Tropical cyclone season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "12", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone_season.major_storms", "friendly_name": "Major storms (cat. 3 or higher)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone_season . \nFILTER (?x1 < 12)\n?x0 :meteorology.tropical_cyclone_season.major_storms ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 127000200, "question": "what are the tropical cyclone seasons that have less than 12 major storms?", "answer": [ "1891 Atlantic hurricane season", "1958 Atlantic hurricane season", "1905 Atlantic hurricane season", "1903 Atlantic hurricane season", "1957 Atlantic hurricane season", "1899 Atlantic hurricane season", "1912 Atlantic hurricane season", "1910 Atlantic hurricane season", "1875 Atlantic hurricane season", "1877 Atlantic hurricane season", "1896 Atlantic hurricane season", "1879 Atlantic hurricane season", "1908 Atlantic hurricane season", "2005 Atlantic hurricane season", "1935 Atlantic hurricane season", "1934 Atlantic hurricane season", "1876 Atlantic hurricane season", "1992 Atlantic hurricane season" ], "function": "<", "commonness": -18.461893577025045, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_season", "class": "meteorology.tropical_cyclone_season", "friendly_name": "Tropical cyclone season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "12", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone_season.major_storms", "friendly_name": "Major storms (cat. 3 or higher)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone_season . \nFILTER (?x1 < 12)\n?x0 :meteorology.tropical_cyclone_season.major_storms ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 127000300, "question": "which seasons of tropical cyclones have fewer than 12 major storms?", "answer": [ "1891 Atlantic hurricane season", "1899 Atlantic hurricane season", "1957 Atlantic hurricane season", "1908 Atlantic hurricane season", "1896 Atlantic hurricane season", "1958 Atlantic hurricane season", "1879 Atlantic hurricane season", "1935 Atlantic hurricane season", "2005 Atlantic hurricane season", "1910 Atlantic hurricane season", "1912 Atlantic hurricane season", "1877 Atlantic hurricane season", "1934 Atlantic hurricane season", "1905 Atlantic hurricane season", "1876 Atlantic hurricane season", "1903 Atlantic hurricane season", "1875 Atlantic hurricane season", "1992 Atlantic hurricane season" ], "function": "<", "commonness": -18.461893577025045, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_season", "class": "meteorology.tropical_cyclone_season", "friendly_name": "Tropical cyclone season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "12", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone_season.major_storms", "friendly_name": "Major storms (cat. 3 or higher)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone_season . \nFILTER (?x1 < 12)\n?x0 :meteorology.tropical_cyclone_season.major_storms ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 127000400, "question": "less than 12 major storms occurred in which tropical cyclone seasons?", "answer": [ "1891 Atlantic hurricane season", "1903 Atlantic hurricane season", "1899 Atlantic hurricane season", "1992 Atlantic hurricane season", "1958 Atlantic hurricane season", "1935 Atlantic hurricane season", "2005 Atlantic hurricane season", "1877 Atlantic hurricane season", "1876 Atlantic hurricane season", "1879 Atlantic hurricane season", "1910 Atlantic hurricane season", "1905 Atlantic hurricane season", "1934 Atlantic hurricane season", "1957 Atlantic hurricane season", "1908 Atlantic hurricane season", "1875 Atlantic hurricane season", "1896 Atlantic hurricane season", "1912 Atlantic hurricane season" ], "function": "<", "commonness": -18.461893577025045, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone_season", "class": "meteorology.tropical_cyclone_season", "friendly_name": "Tropical cyclone season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "12", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone_season.major_storms", "friendly_name": "Major storms (cat. 3 or higher)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone_season . \nFILTER (?x1 < 12)\n?x0 :meteorology.tropical_cyclone_season.major_storms ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 128000000, "question": "which cameras support f 5.2?", "answer": [ "Canon PowerShot A460", "Casio Exilim EX-S770", "Casio Exilim EX-S600d", "Nikon Coolpix S610", "Canon Powershot A580", "Casio Exilim EX-Z700", "Olympus FE-280", "Samsung L830", "Olympus FE-20", "Panasonic Lumix DMC-FX50", "Kodak EasyShare V1233", "Casio Exilim EX-Z85", "Sony Cyber-shot DSC-W170", "Canon PowerShot TX1", "Samsung S860", "Casio Exilim EX-Z300", "Nikon Coolpix S710", "Canon PowerShot A550", "HP Photosmart R937", "Samsung L74 Wide", "Casio Exilim EX-Z70", "Sony Cyber-shot DSC-W90", "Canon Powershot A590 IS", "Canon PowerShot SD950 IS", "Panasonic Lumix DMC-FX33", "Olympus FE-370", "Sony Cyber-shot DSC-W80", "Olympus FE-190", "Casio Exilim EX-Z200", "Sony Cyber-shot DSC-W110", "Sony Cyber-shot DSC-H10", "Olympus Stylus 760", "Samsung NV40", "Samsung TL34HD", "Nikon Coolpix L6", "Samsung L310W", "Sony Cyber-shot DSC-W150", "Sony Cyber-shot DSC-T700", "Canon PowerShot SD40", "Fujifilm FinePix F480 Zoom", "Pentax Optio T20", "Canon PowerShot SD880 IS", "Casio Exilim EX-Z80", "Fujifilm FinePix S5700 Zoom", "Olympus FE-270", "Casio Exilim EX-Z1050", "Samsung L210", "Pentax Optio M50", "Nikon Coolpix S210", "Casio Exilim EX-Z9", "Casio Exilim EX-V7", "Samsung L100", "Fujifilm FinePix S100fs", "Canon Powershot A1000 IS", "Casio Exilim EX-Z100", "Pentax Optio E50", "Fujifilm FinePix A610", "Nikon Coolpix S700", "Olympus FE-230", "Pentax Optio E60", "Panasonic Lumix DMC-FX37", "Casio Exilim EX-Z77", "Kodak EasyShare V1273", "Leica C-LUX 2", "HP Photosmart R742", "Pentax Optio A20", "Nikon Coolpix S560", "Casio Exilim EX-Z1200 SR", "Samsung NV30", "Sony Cyber-shot DSC-T300", "Panasonic LUMIX DMC-LZ8", "Nikon Coolpix P50", "Nikon Coolpix L11", "Olympus FE-290", "Kodak EasyShare M853", "Pentax Optio A30", "Leica C-LUX 3", "Nikon Coolpix P5100", "Canon Powershot SX1 IS", "Olympus FE-340", "Canon Powershot SX10 IS", "Sony Cyber-shot DSC-W120", "Sony Cyber-shot DSC-W130", "Samsung L77", "Kodak EasyShare V1073", "Panasonic LUMIX DMC-LZ10", "Olympus FE-180", "Kodak EasyShare M873", "Canon Powershot A470", "Samsung NV24HD", "Kodak EasyShare M1093 IS", "Canon PowerShot SD800 IS", "Nikon Coolpix P6000", "Ricoh GR Digital II", "Kodak EasyShare V1253", "Sony Cyber-shot DSC-W300", "Pentax Optio M40", "Casio Exilim EX-Z250", "Ricoh Caplio R7", "Sony Cyber-shot DSC-T10", "Panasonic Lumix DMC-FX07", "Panasonic Lumix DMC-FX55", "Canon PowerShot SD850 IS", "Olympus FE-360", "HP Photosmart R837", "Nikon Coolpix L10", "Panasonic Lumix DMC-FX500", "Samsung S1070", "Nikon Coolpix L14", "Casio Exilim EX-V8", "Pentax Optio M20", "Olympus Stylus 1020", "Kodak EasyShare Z1015 IS", "Sony Cyber-shot DSC-T77", "Sony Cyber-shot DSC-N2", "Fujifilm FinePix A920", "Kodak EasyShare M1033", "Pentax Optio M30", "Fujifilm FinePix J10", "Canon PowerShot SD870 IS", "Samsung L730", "Ricoh G600", "Kodak EasyShare M753", "Panasonic LUMIX DMC-FS5", "Panasonic LUMIX DMC-FX35", "Canon PowerShot A570 IS", "Nikon Coolpix S550", "Pentax Optio V10", "Fujifilm FinePix J150W", "Nikon Coolpix P5000", "Pentax Optio M60", "Olympus FE-210", "Pentax Optio V20", "Casio Exilim EX-S880", "Canon Powershot A2000 IS", "Pentax Optio E40", "Casio Exilim EX-Z75", "Nikon Coolpix S520", "Fujifilm FinePix S2000HD", "Fujifilm FinePix J50", "Olympus FE-170", "Nikon Coolpix S610c", "Casio Exilim EX-S10", "Pentax Optio A40", "Canon Powershot E1", "Fujifilm FinePix J110W", "Kodak EasyShare M1073 IS", "Sony Cyber-shot DSC-S750", "Samsung S760", "Sony Cyber-shot DSC-W35", "Samsung L110", "Panasonic Lumix DMC-FX100", "Sony Cyber-shot DSC-S780", "Canon PowerShot SD890 IS", "Samsung L201", "Olympus Stylus 1010", "Pentax Optio S7", "Fujifilm FinePix A820", "Panasonic Lumix DMC-FX150", "Nikon Coolpix S600", "Sony Cyber-shot DSC-T50", "Sony Cyber-shot DSC-W55", "Olympus FE-350", "Ricoh Caplio R10", "Sony Cyber-shot DSC-W200", "Pentax Optio T30", "Kodak EasyShare M893 IS", "Canon PowerShot A560", "Pentax Optio W60", "Fujifilm FinePix A900", "Canon PowerShot SD990 IS", "Panasonic LUMIX DMC-FS20", "Panasonic Lumix DMC-FX30", "Nikon Coolpix S200", "Ricoh Caplio R8" ], "function": ">=", "commonness": -15.524251820648686, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.digitalcameras.digital_camera", "class": "base.digitalcameras.digital_camera", "friendly_name": "Digital Camera", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "5.2^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "5.2", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.digitalcameras.digital_camera.max_f_number", "friendly_name": "Maximum F-Number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.digitalcameras.digital_camera . \nFILTER (?x1 >= 5.2)\n?x0 :base.digitalcameras.digital_camera.max_f_number ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 128000100, "question": "are there any digital cameras with the maximum aperture reaching 5.2?", "answer": [ "Pentax Optio S7", "Ricoh Caplio R7", "HP Photosmart R742", "Samsung L730", "Samsung NV40", "Sony Cyber-shot DSC-W55", "Sony Cyber-shot DSC-T10", "Sony Cyber-shot DSC-W90", "Nikon Coolpix L14", "Olympus FE-360", "Samsung NV24HD", "Leica C-LUX 2", "Fujifilm FinePix J150W", "Nikon Coolpix P5000", "Panasonic Lumix DMC-FX150", "Sony Cyber-shot DSC-N2", "Pentax Optio V10", "Panasonic Lumix DMC-FX37", "Olympus FE-270", "Nikon Coolpix S560", "Canon PowerShot SD880 IS", "Olympus FE-180", "Sony Cyber-shot DSC-T50", "Olympus Stylus 760", "Nikon Coolpix S550", "Kodak EasyShare M1033", "Canon Powershot E1", "Nikon Coolpix P6000", "HP Photosmart R837", "Olympus FE-350", "Samsung S1070", "Kodak EasyShare Z1015 IS", "Pentax Optio T30", "Sony Cyber-shot DSC-W110", "Casio Exilim EX-V8", "Pentax Optio M50", "Canon PowerShot SD890 IS", "Fujifilm FinePix J50", "Panasonic Lumix DMC-FX07", "Casio Exilim EX-Z1200 SR", "Samsung L100", "Olympus FE-280", "Samsung L830", "Casio Exilim EX-Z100", "Nikon Coolpix S210", "Nikon Coolpix L6", "Nikon Coolpix S700", "Pentax Optio E40", "Nikon Coolpix S710", "Sony Cyber-shot DSC-S780", "Sony Cyber-shot DSC-W130", "Olympus Stylus 1020", "Pentax Optio E50", "Leica C-LUX 3", "Canon PowerShot A460", "Canon PowerShot SD800 IS", "Casio Exilim EX-S600d", "Samsung NV30", "Casio Exilim EX-Z700", "Sony Cyber-shot DSC-T700", "Panasonic LUMIX DMC-LZ10", "Olympus FE-20", "Pentax Optio A20", "Canon Powershot A580", "Sony Cyber-shot DSC-T77", "Samsung S760", "Fujifilm FinePix A820", "Canon PowerShot SD850 IS", "Nikon Coolpix S610c", "Casio Exilim EX-Z77", "Pentax Optio T20", "Canon PowerShot A560", "Panasonic Lumix DMC-FX100", "Casio Exilim EX-Z70", "Panasonic Lumix DMC-FX55", "Canon PowerShot SD40", "Samsung L210", "Sony Cyber-shot DSC-H10", "Fujifilm FinePix J10", "Panasonic LUMIX DMC-FS20", "Canon Powershot A1000 IS", "Olympus FE-190", "Sony Cyber-shot DSC-W200", "Kodak EasyShare V1073", "Nikon Coolpix S200", "Casio Exilim EX-S10", "Casio Exilim EX-Z1050", "Nikon Coolpix S600", "Olympus FE-340", "Samsung TL34HD", "Canon Powershot A590 IS", "Olympus FE-370", "Pentax Optio M60", "Sony Cyber-shot DSC-W150", "Panasonic LUMIX DMC-LZ8", "Casio Exilim EX-Z80", "Sony Cyber-shot DSC-W170", "Canon PowerShot A570 IS", "Canon PowerShot A550", "Kodak EasyShare M1073 IS", "Casio Exilim EX-S770", "Kodak EasyShare M753", "Ricoh Caplio R10", "Casio Exilim EX-S880", "Fujifilm FinePix S2000HD", "Canon PowerShot SD990 IS", "Kodak EasyShare M1093 IS", "Ricoh G600", "Sony Cyber-shot DSC-W300", "Pentax Optio M40", "Sony Cyber-shot DSC-W35", "Nikon Coolpix P50", "Pentax Optio V20", "Casio Exilim EX-Z200", "Canon PowerShot TX1", "Fujifilm FinePix S5700 Zoom", "Nikon Coolpix L10", "Panasonic Lumix DMC-FX33", "Sony Cyber-shot DSC-S750", "Pentax Optio A40", "Panasonic LUMIX DMC-FX35", "Casio Exilim EX-V7", "Fujifilm FinePix A920", "Canon Powershot SX10 IS", "Casio Exilim EX-Z250", "Fujifilm FinePix J110W", "Panasonic Lumix DMC-FX30", "Olympus FE-290", "Fujifilm FinePix F480 Zoom", "HP Photosmart R937", "Olympus FE-230", "Samsung S860", "Pentax Optio E60", "Kodak EasyShare M893 IS", "Samsung L201", "Kodak EasyShare V1233", "Pentax Optio W60", "Canon Powershot SX1 IS", "Sony Cyber-shot DSC-W120", "Casio Exilim EX-Z75", "Samsung L310W", "Casio Exilim EX-Z85", "Panasonic Lumix DMC-FX500", "Olympus Stylus 1010", "Kodak EasyShare V1253", "Samsung L77", "Pentax Optio A30", "Nikon Coolpix P5100", "Fujifilm FinePix A610", "Nikon Coolpix S520", "Pentax Optio M20", "Sony Cyber-shot DSC-T300", "Olympus FE-210", "Ricoh Caplio R8", "Canon PowerShot SD950 IS", "Pentax Optio M30", "Samsung L110", "Samsung L74 Wide", "Casio Exilim EX-Z9", "Olympus FE-170", "Casio Exilim EX-Z300", "Sony Cyber-shot DSC-W80", "Fujifilm FinePix S100fs", "Fujifilm FinePix A900", "Canon Powershot A470", "Panasonic LUMIX DMC-FS5", "Kodak EasyShare V1273", "Kodak EasyShare M873", "Nikon Coolpix L11", "Canon Powershot A2000 IS", "Ricoh GR Digital II", "Kodak EasyShare M853", "Panasonic Lumix DMC-FX50", "Nikon Coolpix S610", "Canon PowerShot SD870 IS" ], "function": ">=", "commonness": -15.524251820648686, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.digitalcameras.digital_camera", "class": "base.digitalcameras.digital_camera", "friendly_name": "Digital Camera", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "5.2^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "5.2", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.digitalcameras.digital_camera.max_f_number", "friendly_name": "Maximum F-Number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.digitalcameras.digital_camera . \nFILTER (?x1 >= 5.2)\n?x0 :base.digitalcameras.digital_camera.max_f_number ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 128000200, "question": "which digital cameras provide an f-number of at least 5.2?", "answer": [ "Samsung L100", "Kodak EasyShare V1073", "Nikon Coolpix S610", "Canon PowerShot SD890 IS", "Casio Exilim EX-S600d", "Ricoh GR Digital II", "Pentax Optio M50", "Fujifilm FinePix J150W", "Casio Exilim EX-Z80", "Canon PowerShot A460", "Panasonic Lumix DMC-FX07", "Sony Cyber-shot DSC-T50", "Samsung NV40", "Pentax Optio V10", "Canon Powershot SX1 IS", "Canon PowerShot A550", "Canon PowerShot SD850 IS", "Olympus FE-370", "Olympus FE-280", "Kodak EasyShare M753", "Sony Cyber-shot DSC-N2", "Panasonic Lumix DMC-FX55", "Panasonic Lumix DMC-FX150", "Fujifilm FinePix S2000HD", "Casio Exilim EX-Z250", "Ricoh Caplio R8", "Fujifilm FinePix A920", "Kodak EasyShare Z1015 IS", "Pentax Optio T20", "Panasonic LUMIX DMC-FS5", "Sony Cyber-shot DSC-T10", "Canon Powershot A470", "Panasonic Lumix DMC-FX37", "Sony Cyber-shot DSC-W170", "Nikon Coolpix S210", "Nikon Coolpix S710", "Samsung L74 Wide", "Samsung L830", "Kodak EasyShare V1253", "Samsung L201", "Leica C-LUX 2", "Nikon Coolpix L11", "Casio Exilim EX-S770", "Sony Cyber-shot DSC-S780", "Nikon Coolpix S520", "Sony Cyber-shot DSC-H10", "Pentax Optio A20", "Casio Exilim EX-V7", "Kodak EasyShare M1073 IS", "Canon Powershot SX10 IS", "Olympus FE-360", "Canon Powershot A580", "Pentax Optio M40", "Pentax Optio M30", "Samsung S860", "Samsung L210", "Sony Cyber-shot DSC-T700", "Sony Cyber-shot DSC-W110", "Samsung L110", "Fujifilm FinePix A610", "Samsung L730", "Sony Cyber-shot DSC-W35", "Panasonic LUMIX DMC-FX35", "Fujifilm FinePix A820", "Olympus FE-20", "Canon PowerShot SD990 IS", "Casio Exilim EX-Z75", "Fujifilm FinePix S5700 Zoom", "Casio Exilim EX-Z1200 SR", "Panasonic LUMIX DMC-LZ8", "Kodak EasyShare M873", "Canon PowerShot SD870 IS", "Samsung NV30", "HP Photosmart R937", "Canon PowerShot A570 IS", "Casio Exilim EX-V8", "Panasonic Lumix DMC-FX500", "Pentax Optio A40", "Olympus FE-350", "Samsung S760", "Olympus FE-270", "Sony Cyber-shot DSC-T77", "Canon PowerShot A560", "Olympus FE-170", "Olympus FE-340", "Pentax Optio A30", "Canon PowerShot SD880 IS", "Panasonic LUMIX DMC-FS20", "Ricoh Caplio R10", "Olympus FE-290", "Nikon Coolpix S610c", "Sony Cyber-shot DSC-W300", "Olympus Stylus 760", "Fujifilm FinePix A900", "Nikon Coolpix S200", "Kodak EasyShare V1273", "Kodak EasyShare V1233", "Sony Cyber-shot DSC-S750", "Olympus Stylus 1010", "Canon Powershot A2000 IS", "Casio Exilim EX-Z300", "Sony Cyber-shot DSC-T300", "Canon PowerShot SD950 IS", "Panasonic Lumix DMC-FX30", "Nikon Coolpix S600", "Canon PowerShot SD800 IS", "HP Photosmart R837", "Canon PowerShot TX1", "Pentax Optio W60", "Canon Powershot E1", "Olympus FE-180", "Fujifilm FinePix S100fs", "Sony Cyber-shot DSC-W55", "Fujifilm FinePix J110W", "Fujifilm FinePix F480 Zoom", "Kodak EasyShare M1093 IS", "Samsung S1070", "Nikon Coolpix P6000", "Sony Cyber-shot DSC-W200", "Kodak EasyShare M1033", "Samsung L77", "Olympus FE-230", "Pentax Optio S7", "Casio Exilim EX-Z70", "Sony Cyber-shot DSC-W80", "Casio Exilim EX-Z100", "Casio Exilim EX-Z200", "Samsung TL34HD", "Nikon Coolpix S560", "Sony Cyber-shot DSC-W120", "Canon Powershot A590 IS", "HP Photosmart R742", "Ricoh G600", "Samsung NV24HD", "Canon Powershot A1000 IS", "Sony Cyber-shot DSC-W90", "Sony Cyber-shot DSC-W150", "Nikon Coolpix L10", "Panasonic LUMIX DMC-LZ10", "Pentax Optio M60", "Canon PowerShot SD40", "Panasonic Lumix DMC-FX50", "Pentax Optio E40", "Casio Exilim EX-Z77", "Nikon Coolpix L6", "Fujifilm FinePix J50", "Pentax Optio M20", "Fujifilm FinePix J10", "Sony Cyber-shot DSC-W130", "Nikon Coolpix L14", "Pentax Optio E60", "Pentax Optio E50", "Olympus FE-210", "Nikon Coolpix P5100", "Ricoh Caplio R7", "Kodak EasyShare M893 IS", "Leica C-LUX 3", "Olympus FE-190", "Casio Exilim EX-Z700", "Panasonic Lumix DMC-FX33", "Pentax Optio V20", "Nikon Coolpix P5000", "Panasonic Lumix DMC-FX100", "Kodak EasyShare M853", "Nikon Coolpix S550", "Nikon Coolpix P50", "Casio Exilim EX-Z85", "Olympus Stylus 1020", "Nikon Coolpix S700", "Samsung L310W", "Casio Exilim EX-Z9", "Pentax Optio T30", "Casio Exilim EX-S10", "Casio Exilim EX-S880", "Casio Exilim EX-Z1050" ], "function": ">=", "commonness": -15.524251820648686, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.digitalcameras.digital_camera", "class": "base.digitalcameras.digital_camera", "friendly_name": "Digital Camera", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "5.2^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "5.2", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.digitalcameras.digital_camera.max_f_number", "friendly_name": "Maximum F-Number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.digitalcameras.digital_camera . \nFILTER (?x1 >= 5.2)\n?x0 :base.digitalcameras.digital_camera.max_f_number ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 128000300, "question": "which digital cameras have an maximum aperture of at least 5.2?", "answer": [ "Samsung TL34HD", "Canon PowerShot A560", "Ricoh G600", "Nikon Coolpix L6", "Panasonic Lumix DMC-FX55", "Kodak EasyShare M753", "Sony Cyber-shot DSC-W55", "Fujifilm FinePix S100fs", "Pentax Optio M40", "Samsung NV24HD", "Panasonic Lumix DMC-FX37", "Kodak EasyShare M893 IS", "Casio Exilim EX-Z70", "Canon Powershot A590 IS", "Samsung NV40", "Panasonic Lumix DMC-FX100", "HP Photosmart R837", "Canon PowerShot A570 IS", "Fujifilm FinePix S2000HD", "Samsung L110", "Nikon Coolpix S700", "Fujifilm FinePix F480 Zoom", "Pentax Optio S7", "Casio Exilim EX-Z9", "Fujifilm FinePix A820", "Nikon Coolpix P50", "Olympus FE-290", "Sony Cyber-shot DSC-W200", "Canon Powershot E1", "Casio Exilim EX-Z80", "Pentax Optio E40", "Sony Cyber-shot DSC-W35", "Samsung S860", "Olympus Stylus 1010", "Pentax Optio M30", "Sony Cyber-shot DSC-T77", "Kodak EasyShare V1273", "Olympus Stylus 1020", "Nikon Coolpix L11", "Casio Exilim EX-Z250", "HP Photosmart R742", "Canon PowerShot SD890 IS", "Olympus FE-280", "Pentax Optio E50", "Samsung L201", "Nikon Coolpix S550", "Olympus Stylus 760", "Nikon Coolpix S560", "Sony Cyber-shot DSC-S780", "Nikon Coolpix S610c", "Canon Powershot A580", "Casio Exilim EX-Z77", "Canon PowerShot TX1", "Panasonic LUMIX DMC-FS20", "Panasonic Lumix DMC-FX500", "Kodak EasyShare M1093 IS", "Canon PowerShot SD990 IS", "Fujifilm FinePix J10", "Casio Exilim EX-V7", "Panasonic Lumix DMC-FX30", "Nikon Coolpix L14", "Olympus FE-210", "Olympus FE-190", "Sony Cyber-shot DSC-W130", "Casio Exilim EX-Z85", "Canon PowerShot SD850 IS", "Pentax Optio E60", "Sony Cyber-shot DSC-W300", "Pentax Optio M50", "Panasonic Lumix DMC-FX50", "Fujifilm FinePix A900", "Casio Exilim EX-V8", "Leica C-LUX 3", "Kodak EasyShare V1073", "Sony Cyber-shot DSC-W170", "Panasonic LUMIX DMC-FX35", "Canon PowerShot SD950 IS", "Casio Exilim EX-Z200", "Canon Powershot A2000 IS", "Kodak EasyShare V1233", "Fujifilm FinePix J110W", "Casio Exilim EX-Z1200 SR", "Olympus FE-270", "Casio Exilim EX-Z75", "Olympus FE-20", "Fujifilm FinePix J150W", "Pentax Optio T30", "Sony Cyber-shot DSC-H10", "Sony Cyber-shot DSC-T50", "Sony Cyber-shot DSC-N2", "Casio Exilim EX-S770", "Canon PowerShot A550", "Nikon Coolpix S210", "Pentax Optio V10", "Fujifilm FinePix S5700 Zoom", "Panasonic LUMIX DMC-LZ8", "Fujifilm FinePix A610", "Panasonic Lumix DMC-FX07", "Nikon Coolpix L10", "Samsung L210", "Pentax Optio A30", "Sony Cyber-shot DSC-W90", "Samsung L74 Wide", "Sony Cyber-shot DSC-W150", "Sony Cyber-shot DSC-S750", "Ricoh GR Digital II", "Canon Powershot A1000 IS", "Samsung L310W", "Kodak EasyShare M1073 IS", "Canon PowerShot A460", "Samsung L830", "Pentax Optio M60", "Olympus FE-370", "Casio Exilim EX-S10", "Panasonic LUMIX DMC-FS5", "Sony Cyber-shot DSC-T10", "Casio Exilim EX-Z700", "Olympus FE-170", "Canon PowerShot SD800 IS", "Kodak EasyShare M853", "Nikon Coolpix P5100", "Canon PowerShot SD870 IS", "Canon PowerShot SD880 IS", "Samsung L100", "Samsung L730", "Ricoh Caplio R8", "Nikon Coolpix S520", "Olympus FE-230", "Casio Exilim EX-S600d", "Panasonic Lumix DMC-FX33", "Pentax Optio M20", "Panasonic Lumix DMC-FX150", "Canon PowerShot SD40", "Casio Exilim EX-S880", "Sony Cyber-shot DSC-T700", "Pentax Optio A40", "Pentax Optio A20", "Ricoh Caplio R7", "Pentax Optio V20", "Olympus FE-340", "Olympus FE-360", "Fujifilm FinePix A920", "Casio Exilim EX-Z1050", "Samsung S1070", "Pentax Optio W60", "Kodak EasyShare Z1015 IS", "Nikon Coolpix S200", "Canon Powershot A470", "Sony Cyber-shot DSC-T300", "Sony Cyber-shot DSC-W80", "Samsung NV30", "Nikon Coolpix P5000", "Casio Exilim EX-Z300", "Sony Cyber-shot DSC-W120", "Olympus FE-350", "Casio Exilim EX-Z100", "Fujifilm FinePix J50", "Leica C-LUX 2", "HP Photosmart R937", "Kodak EasyShare V1253", "Canon Powershot SX10 IS", "Olympus FE-180", "Nikon Coolpix S710", "Nikon Coolpix S610", "Panasonic LUMIX DMC-LZ10", "Kodak EasyShare M1033", "Canon Powershot SX1 IS", "Samsung S760", "Ricoh Caplio R10", "Nikon Coolpix S600", "Pentax Optio T20", "Kodak EasyShare M873", "Samsung L77", "Sony Cyber-shot DSC-W110", "Nikon Coolpix P6000" ], "function": ">=", "commonness": -15.524251820648686, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.digitalcameras.digital_camera", "class": "base.digitalcameras.digital_camera", "friendly_name": "Digital Camera", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "5.2^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "5.2", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.digitalcameras.digital_camera.max_f_number", "friendly_name": "Maximum F-Number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.digitalcameras.digital_camera . \nFILTER (?x1 >= 5.2)\n?x0 :base.digitalcameras.digital_camera.max_f_number ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 129000000, "question": "find biopropellant rocket engines with a diameter no larger than 1.85 m.", "answer": [ "RD-101", "RD-214U", "RD-250M", "RD-214F", "RD-253F", "RD-103", "RD-503", "RD-222", "RD-200", "RD-250P", "S5.19", "RD-253", "RD-103M", "RD-213 (D-13)", "RD-161P", "RD-134", "RD-210", "RD-109", "RD-268", "S5.92", "RD-512", "RD-1", "RD-106", "RD-114", "RD-110", "RD-105", "RD-107A", "RD-2", "RD-119", "RD-117", "RD-301", "RD-280", "RD-211", "RD-303", "RD-263", "RD-220", "RD-161", "RD-212 (D-41)", "RD-273", "RD-511", "RD-250", "RD-510", "RD-214", "RD-302", "Rocketdyne RS-27A", "RD-169", "RL10", "RD-120K", "RD-502", "RD-100", "RD-112", "RD-191", "RD-133", "RD-1KhZ", "RD-182", "RD-350", "RD-275", "RD-107", "RD-118" ], "function": "<=", "commonness": -17.64384904839814, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.bipropellant_rocket_engine", "class": "spaceflight.bipropellant_rocket_engine", 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"spaceflight.rocket_engine.diameter", "friendly_name": "Diameter" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.bipropellant_rocket_engine . \nFILTER (?x1 <= 1.85)\n?x0 :spaceflight.rocket_engine.diameter ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 129000200, "question": "which biopropellance rocket engines have a diameter of 1.85 meters or less?", "answer": [ "RD-107", "RD-350", "RD-107A", "RD-211", "RD-212 (D-41)", "RD-301", "RD-120K", "S5.19", "RD-114", "RD-191", "RD-106", "RD-268", "RD-214F", "RD-511", "RD-119", "RD-263", "RD-253F", "RD-169", "RD-250P", "RD-1KhZ", "RD-222", "RD-275", "RD-105", "RD-250M", "Rocketdyne RS-27A", "RD-510", "RD-503", "RD-134", "RD-200", "RD-133", "RD-161P", "RD-302", "RD-213 (D-13)", "RD-214", "RD-101", "RD-118", "RD-214U", "RD-109", "RD-103M", "RL10", "RD-112", "RD-502", "RD-280", "RD-512", "RD-110", "RD-250", "RD-2", "RD-103", "RD-161", "RD-210", "RD-182", "RD-303", "RD-253", "RD-117", "RD-220", "RD-273", "S5.92", "RD-100", "RD-1" ], "function": "<=", "commonness": -17.64384904839814, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.bipropellant_rocket_engine", "class": "spaceflight.bipropellant_rocket_engine", "friendly_name": "Bipropellant rocket engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "1.85^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "1.85", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_engine.diameter", "friendly_name": "Diameter" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :spaceflight.bipropellant_rocket_engine . \nFILTER (?x1 <= 1.85)\n?x0 :spaceflight.rocket_engine.diameter ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 129000300, "question": "what engines for biopropellant rockets are no longer than 1.85 m?", "answer": [ "RD-110", "RD-301", "RD-280", "RD-212 (D-41)", "RD-118", "RD-1", "RD-161P", "RD-105", "RD-2", "RD-503", "RD-211", "RD-109", "RD-250", "RD-273", "RD-200", "RD-103", "RD-253F", "RD-250M", "RD-268", "RD-275", "Rocketdyne RS-27A", "S5.92", "RD-119", "RD-106", "RD-213 (D-13)", "RD-120K", "RD-214F", "RD-100", "RD-103M", "RD-222", "RD-107", "RD-169", "RD-512", "RD-133", "RD-182", "RD-303", "RD-220", "RD-101", "RD-107A", "RD-210", "S5.19", "RD-510", "RD-112", "RD-161", "RD-253", "RD-134", "RD-214", "RD-114", "RD-511", "RD-302", "RD-117", "RD-263", "RL10", "RD-350", "RD-1KhZ", "RD-502", "RD-250P", "RD-214U", "RD-191" ], "function": "<=", "commonness": -17.64384904839814, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.bipropellant_rocket_engine", "class": "spaceflight.bipropellant_rocket_engine", 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"medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "Bat", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000001, "question": "bats acts as a disease vector for how many diseases?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": 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"function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "chiroptera", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000200, "question": "bats can spread how many diseases?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": "medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "Bat", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000201, "question": "batss can spread how many diseases?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": "medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "bats", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000202, "question": "chiropteras can spread how many diseases?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": "medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "chiroptera", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000300, "question": "how many infectious diseases are carried by bat?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": "medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": "medicine.vector_of_disease", "friendly_name": "Bat", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.vector_of_disease.disease", "friendly_name": "Disease(s)" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :medicine.infectious_disease . \nVALUES ?x1 { :en.bat } \n?x1 :medicine.vector_of_disease.disease ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 130000301, "question": "how many infectious diseases are carried by bats?", "answer": [ "2" ], "function": "count", "commonness": -15.511404288060435, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.infectious_disease", "class": "medicine.infectious_disease", "friendly_name": "Infectious Disease", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.bat", "class": 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], "edges": [ { "start": 1, "end": 0, "relation": "music.composer.compositions", "friendly_name": "Works Composed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.composition . \nVALUES ?x1 { :en.britney_spears } \n?x1 :music.composer.compositions ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 131000502, "question": "brit has produced how many works?", "answer": [ "6" ], "function": "count", "commonness": -11.2678746151692, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.composition", "class": "music.composition", "friendly_name": "Composition", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.britney_spears", "class": "music.composer", "friendly_name": "brit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.composer.compositions", "friendly_name": "Works Composed" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.composition . \nVALUES ?x1 { :en.britney_spears } \n?x1 :music.composer.compositions ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 132000000, "question": "what are engines for automobiles with lower than 160.0 pound-feet of torque?", "answer": [ "In-Line 3-Cylinder", "Honda 1.8L 4 Cylinder 110 hp 106 ft-lbs CNG", "Honda 1.0L 3 cylinders VTEC 65hp 65 torque", "Honda 1.5L 4 Cylinder 122hp 128lb-ft Hybrid", "Lexus 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Honda 1.7L 4 cylinder VTEC 127hp 114torque", "Toyota 2.4L 4 Cylinder 192 hp 138 ft-lbs. Hybrid", "Toyota 1.5L 4 Cylinder 106 hp 103 ft-lbs", "Smart 1.0L 3 Cylinder 71 hp 68 ft-lbs", "Honda 2.2L 4 cylinder VTEC 195hp 156 torque", "Honda 1.3L 4 Cylinder 110chp 123 ft-lbs Hybrid", "Mercury 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Ford 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Honda 1.6L 4 Cylinder 115hp 110 torque", "Toyota 1.8L 4 Cylinder 134 hp 105 ft-lbs Hybrid", "Mazda 2.5L 4 Cylinder 153 hp 136 ft-lbs Hybrid", "Honda 2.2L 4 cylinder 130hp 139 torque", "Ford 2.3L 4 Cylinder 155hp 124 ft-lbs Hybrid", "Ford 2.0L 4 cylinder 130 hp 129 ft-lbs", "Kia 2.0L 4 Cylinder 138 hp 136 ft-lbs", "Hyundai 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Lincoln 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Mazda 1.5L 4 Cylinder 100 hp 98 ft-lbs", "Ford 2.3L 4 Cylinder 160hp 156 ft-lbs", "Mazda 2L 4 Cylinder 163 hp 140 ft-lbs", "Volkswagen 2.0L 4 Cylinder 115 hp 125 ft-lbs", "Honda 1.0L 3 cylinders VTEC 73hp 79 torque", "Pontiac 2.4L 4 Cylinder 164 hp 156 ft-lbs", "Ford 1.6L 4 Cylinder 120 hp 112 ft-lbs", "Honda 1.0 3 cylinders 71hp 89 torque", "Mercury 2.3L 4 cylinder 133 hp 124 ft-lbs Hybrid", "Honda 1.8L 4 Cylinder 113 hp 109 ft-lbs CNG", "Kia 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Honda 1.3L 4 Cylinder 98hp 123ft-lbs Hybrid", "Ford 2.0L 4 Cylinder 136 hp 133 ft-lbs", "Mazda 2L 4 Cylinder 166hp 140 ft-lbs", "Honda 1.5L 4 Cylinder 117 hp 106 ft-lbs", "Kia 2.0L 4 Cylinder 164 hp 148 ft-lbs", "Hyundai 1.6L 4 cylinder 110hp 106 ft-lbs", "Honda 1.6L 4 cylinder VTEC 160hp 111 torque", "Hyundai 2.0L 4 cylinder", "Honda 1.4L 4 cylinder VTEC 93hp 105 torque", "Suzuki 2.0L 4 Cylinder 148 hp 140 ft-lbs", "Chevrolet 1.6L 4 Cylinder 108 hp 105 ft-lbs", "Honda 1.7L 4 cylinder 117 hp 111torque VTEC", "Jeep 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Ford 2.0L 4 Cylinder 132hp 133 ft-lbs", "Toyota 2.4L 4 Cylinder 147 hp 138 ft-lbs. Hybrid", "Suzuki 1.6L 4 Cylinder Regular", "Hyundai 2.0L 4 cylinder 132hp 133 torque", "Honda 1.0L 3 cylinders 67 hp 66 torque", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Dodge 1.8L 4 Cylinder 148 hp 125 ft-lbs", "Hyundai 1.8L 4 Cylinder 145 hp 130 ft-lbs", "Mazda 1.3L R2 212 hp 159 ft-lbs", "Mazda 2.0L 4 Cylinder 167 hp 158 ft-lbs", "Ford 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Lexus 1.8L 4 Cylinder 134 hp 142 ft-lbs Hybrid", "Mitsubishi 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Honda 2.2L 4 cylinder 145hp 147 torque", "Mazda 2.3L 4 Cylinder 153 hp 152 ft-lb", "Honda 1.6L 4 cylinder VTEC 115hp 104 torque", "Honda 1.5L 4 Cylinder 109 hp 105 ft-lbs", "Pontiac 1.6L 4 Cylinder 106 hp 105 ft-lbs", "Honda 1L 3 Cylinder 65 HP 65 Torque", "Suzuki 2.0L 4 Cylinder 127 hp 131 ft-lbs", "Ford 2.3L 4 cylinder 153hp 152 ft-lbs", "Toyota 1.8L 4 Cylinder 132 hp 128 ft-lbs.", "Ford 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Honda 2.0L 4 cylinder 197hp 139ft-lbs", "Lotus 1.8L 4 Cylinder 189 hp 133 ft-lbs", "MINI 1.6L 4 Cylinder 118 hp 114 ft-lbs", "Honda 2.0L 4 cylinder 160hp 132torque", "Hyundai 2.0L 4 cylinder 140hp 136 ft-lbs", "Mazda 2.0L 4 Cylinder 158 hp 140 ft-lbs", "Honda 1.7L 4 cylinder 113hp 109 torque", "Kia 2.0L 4 Cylinder 142 hp 137 ft-lbs", "Mazda 2.0L 4 Cylinder 155 hp 148 lb-ft", "Honda 2.1L 4 Cylinder 200hp 156torque", "Honda 1.6L 4 cylinder 106hp 103 torque", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs FFV", "Hyundai 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 151hp 154 ft-lbs", "Nissan 1.8L 4 Cylinder 122 hp 127 ft-lbs", "Honda 1.0L 3-Cylinder 73hp 79torque", "Honda 2.3L 4 cylinder 150hp 152 torque", "Toyota 1.5L 4 Cylinder 110 hp 82 ft-lbs. Hybrid", "Smart 1L 3 Cylinder 70 hp 68 ft-lbs", "Honda 2.2L4 cyclinder140hp 145 torque", "Mazda 1.3L R2 232 hp 159 ft-lbs", "Ford 2.0L 4 Cylinder 136 hp 128 ft-lbs", "Straight-4", "Honda 2.0L 4 cylinder 146hp 133torque", "Mercury 2.3L 4 cylinder 153hp 152 ft-lbs", "Honda 1.7L 4 cylinder 100hp 98torque VTEC", "Honda 1.8L 4 Cylinder 140hp 128 ft-lbs", "Mercury 2.3L 4 cylinder 160 hp 156 ft-lbs", "Honda 0.95L 3 Cylinder 67hp 66torque", "Honda 2.0L 4 cylinder 126hp 133 torque", "MINI 1.6L 4 Cylinder 115 hp 111 ft-lbs", "Honda 2.2L 4 cylinder VTEC 190hp 156 torque", "Nissan 2.0L 4 cylinder 135 hp 142 ft-lbs", "Mazda 2.3L 4 Cylinder 156 hp 150 ft-lbs", "1.3 2 Cylinder 212 hp 159 ft-lb", "Chevrolet 2.4L 4 Cylinder 170 hp 158 ft-lbs FFV", "Mazda 2.3L 4 Cylinder 153 hp 148 ft-lbs", "Honda 2.3L 4 Cylinder 135hp 145 torque", "Toyota 1.8L 4 Cylinder 98 hp 105 ft-lbs Hybrid", "Mazda 2.3L 4 Cylinder 143 hp 154 ft-lb", "Honda 1.5L 4 Cylinder 110 hp 127 ft-lbs Hybrid", "Kia 1.6L 4 Cylinder 122 hp 115 ft-lbs", "Chevrolet 1.6L 4 Cylinder 106hp 105 ft-lbs", "Mercury 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Mitsubishi 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Honda 1.6L 4 cylinder Natural Gas 110hp 96torque", "Mini 1.6L 4 Cylinder 121 hp 114 ft-lbs", "Hyundai 1.8L 4 Cylinder 148 hp 131 ft-lbs", "Honda 1.6L 4 Cylinder 117hp 111 torque", "Honda 1.6L 4 Cylinder 127hp 114 torque", "Lotus 1.8L 4 Cylinder 218 hp 156 ft-lbs S-charged", "Kia 1.6L 4 Cylinder 110 hp 107 ft-lbs", "Pontiac 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Ford 2.3L 4 Cylinder 143 hp 154 ft-lbs", "Mercury 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Saturn 2.2L 4 cylinder 144 hp 149 ft-lbs", "Pontiac 1.6L 4 Cylinder", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Pontiac 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Hyundai 2.0L 4 Cylinder 165 hp 146 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 148 hp 146 ft-lbs", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs PZEV", "Honda 1.4L 4 cylinder VTEC 85hp 87 torque", "Nissan 1.6L 4 Cylinder 107 hp 111 ft-lbs", "Scion 1.8L 4 Cylinder 128 hp 125 ft-lbs.", "Chevrolet 1.8L 4 Cylinder 138 hp 123 ft-lbs", "Hyundai 2.0L 4 cylinder 138 hp 136 ft-lbs", "Saturn 2.4L 4 cylinder 164 hp 159 ft-lbs Hybrid", "Lotus 1.8L 4 Cylinder 190 hp 138 ft-lbs", "Subaru 2.2L 4 Cylinder Regular", "Chevrolet 2.2L 4 Cylinder 149 hp 152 ft-lbs", "Chevrolet 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Chevrolet 1.8L 4 Cylinder 138 hp 125 ft-lbs", "Mazda 2.3L 4 Cylinder 156 hp 154 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Pontiac 1.8L 4 Cylinder 132 hp 128 ft-lbs", "Suzuki 2.0L 4 Cylinder 143 hp 136 ft-lbs", "Honda 1.7L 4 cylinder 115hp 110torque", "Kia 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Chevrolet 2.4L 4 Cylinder 164 hp 159 ft-lbs Hybrid", "Chevrolet 1.6L 4 Cylinder 103 hp 107 ft-lbs", "Suzuki 2.0L 4 Cylinder 150 hp 140 ft-lbs", "Ford 2.3L 4 Cylinder 133hp 124 ft-lbs Hybrid", "Scion 1.3L 4 Cylinder 94hp 89ft-lbs", "Nissan 1.6L 4 Cylinder 109 hp 107 ft-lbs", "Saturn 1.8L 4 cylinder 138 hp 125 ft-lbs", "Ford 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Honda 2.0L 4 cylinder 240hp 153torque", "Suzuki 2.3L 4 Cylinder Regular", "Kia 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Kia 2.0L 4 Cylinder 132 hp 133 ft-lbs", "Chevrolet 1.4L 4 Cylinder 138 hp 148 ft-lbs Turbo", "Honda 2.0L 4 Cyinder 197 hp 139 ft-lbs", "Chevrolet 2.2L 4 Cylinder 144 hp 155 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 123 lb-ft Hybrid", "Lotus 1.8L 4 Cylinder 217 hp 155 ft-lbs", "Volkswagen 2L 4Cylinder 115hp 122torque", "Kia 2.0L 4 Cylinder 156 hp 144 ft-lbs", "Dodge 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Honda 1.6L 4 cylinder VTEC 127hp 107 torque", "Toyota 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Honda 1.0L 3 cylinders VTEC 67hp 66 torque", "Hyundai 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Honda 1.9L 4 Cylinder 240hp 153torque", "Mitsubishi 2.0L 4 Cylinder 143 hp 143 ft-lbs", "Mazda 2.3L 4 Cylinder 133 hp 124 ft-lb Hybrid", "Nissan 2.0L 4 cylinder 140 hp 147 ft-lbs", "Mazda 2.0L 4 Cylinder 167 hp 140 ft-lbs", "Pontiac 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Nissan 1.8L 4 cylinder 122 hp 127 ft-lbs", "Mitsubishi 2.4L 4 Cylinder 155 hp 157 ft-lbs", "Mazda 2.0L 4 Cylinder 148 hp 135 ft-lbs", "Smart 1.0L 3 Cylinder 70 hp 68 ft-lbs", "Honda 1.4L 4 cylinder VTEC 93hp 116 torque", "Ford 2.0L 4 Cylinder 160 hp 146 ft-lbs", "Toyota 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Toyota 2.4L 4 Cylinder 155 hp 158 ft-lbs", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Chevrolet 1.8L 4 Cylinder 136 hp 123 ft-lbs", "Mazda 2L 4 Cylinder 148Hp 135 ft-lbs", "Suzuki 2.3L 4 Cylinder 155 hp 152 ft-lbs" ], "function": "<", "commonness": -15.469558894770003, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine", "class": "automotive.engine", "friendly_name": "Engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine.torque_ft_lbs", "friendly_name": "Torque" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :automotive.engine . \nFILTER (?x1 < 160.0)\n?x0 :automotive.engine.torque_ft_lbs ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 132000100, "question": "which automobile engines have less than 160.0 lb/ft of torque?", "answer": [ "Honda 1.0L 3 cylinders VTEC 67hp 66 torque", "Saturn 2.4L 4 cylinder 164 hp 159 ft-lbs Hybrid", "Honda 1.4L 4 cylinder VTEC 93hp 116 torque", "Ford 2.0L 4 Cylinder 132hp 133 ft-lbs", "Ford 2.0L 4 Cylinder 160 hp 146 ft-lbs", "Honda 2.0L 4 cylinder 197hp 139ft-lbs", "Mercury 2.3L 4 cylinder 133 hp 124 ft-lbs Hybrid", "Volkswagen 2.0L 4 Cylinder 115 hp 125 ft-lbs", "Honda 1L 3 Cylinder 65 HP 65 Torque", "Ford 2.3L 4 Cylinder 160hp 156 ft-lbs", "Mercury 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Mazda 2L 4 Cylinder 163 hp 140 ft-lbs", "Mazda 2.0L 4 Cylinder 167 hp 158 ft-lbs", "Toyota 1.8L 4 Cylinder 134 hp 105 ft-lbs Hybrid", "Kia 2.0L 4 Cylinder 132 hp 133 ft-lbs", "Chevrolet 2.2L 4 Cylinder 144 hp 155 ft-lbs", "Mazda 2L 4 Cylinder 148Hp 135 ft-lbs", "Mazda 2.3L 4 Cylinder 133 hp 124 ft-lb Hybrid", "Honda 2.2L 4 cylinder 145hp 147 torque", "Honda 0.95L 3 Cylinder 67hp 66torque", "Nissan 1.6L 4 Cylinder 107 hp 111 ft-lbs", "Honda 2.3L 4 Cylinder 135hp 145 torque", "Chevrolet 2.4L 4 Cylinder 164 hp 159 ft-lbs Hybrid", "Hyundai 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs FFV", "Chevrolet 1.6L 4 Cylinder 106hp 105 ft-lbs", "Hyundai 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Nissan 2.0L 4 cylinder 140 hp 147 ft-lbs", "Dodge 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Kia 2.0L 4 Cylinder 164 hp 148 ft-lbs", "Hyundai 1.8L 4 Cylinder 148 hp 131 ft-lbs", "Lotus 1.8L 4 Cylinder 217 hp 155 ft-lbs", "Suzuki 2.0L 4 Cylinder 127 hp 131 ft-lbs", "Ford 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Mazda 2.0L 4 Cylinder 158 hp 140 ft-lbs", "Honda 2.2L4 cyclinder140hp 145 torque", "MINI 1.6L 4 Cylinder 115 hp 111 ft-lbs", "Smart 1.0L 3 Cylinder 70 hp 68 ft-lbs", "Ford 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Mercury 2.3L 4 cylinder 160 hp 156 ft-lbs", "Honda 1.0 3 cylinders 71hp 89 torque", "Lexus 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Mercury 2.3L 4 cylinder 153hp 152 ft-lbs", "Mazda 2.0L 4 Cylinder 155 hp 148 lb-ft", "Lexus 1.8L 4 Cylinder 134 hp 142 ft-lbs Hybrid", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs PZEV", "Saturn 2.2L 4 cylinder 144 hp 149 ft-lbs", "1.3 2 Cylinder 212 hp 159 ft-lb", "Pontiac 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Kia 1.6L 4 Cylinder 122 hp 115 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Mazda 2.3L 4 Cylinder 153 hp 152 ft-lb", "Honda 1.8L 4 Cylinder 113 hp 109 ft-lbs CNG", "Honda 1.9L 4 Cylinder 240hp 153torque", "Honda 1.7L 4 cylinder 115hp 110torque", "Lotus 1.8L 4 Cylinder 218 hp 156 ft-lbs S-charged", "Honda 2.2L 4 cylinder VTEC 190hp 156 torque", "Scion 1.8L 4 Cylinder 128 hp 125 ft-lbs.", "Suzuki 1.6L 4 Cylinder Regular", "Honda 1.6L 4 cylinder Natural Gas 110hp 96torque", "Honda 1.5L 4 Cylinder 109 hp 105 ft-lbs", "Hyundai 2.0L 4 cylinder 138 hp 136 ft-lbs", "Mitsubishi 2.4L 4 Cylinder 155 hp 157 ft-lbs", "Honda 1.6L 4 cylinder VTEC 115hp 104 torque", "Honda 1.8L 4 Cylinder 140hp 128 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 123 lb-ft Hybrid", "Kia 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Pontiac 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Ford 2.0L 4 Cylinder 136 hp 128 ft-lbs", "Chevrolet 1.6L 4 Cylinder 108 hp 105 ft-lbs", "Honda 2.0L 4 cylinder 160hp 132torque", "Toyota 1.5L 4 Cylinder 110 hp 82 ft-lbs. Hybrid", "Ford 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Honda 1.6L 4 cylinder 106hp 103 torque", "Ford 2.0L 4 Cylinder 136 hp 133 ft-lbs", "Honda 1.0L 3 cylinders VTEC 73hp 79 torque", "Ford 2.3L 4 cylinder 153hp 152 ft-lbs", "Chevrolet 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Toyota 2.4L 4 Cylinder 192 hp 138 ft-lbs. Hybrid", "Pontiac 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Lincoln 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Hyundai 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Toyota 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Hyundai 2.0L 4 cylinder 140hp 136 ft-lbs", "Chevrolet 1.4L 4 Cylinder 138 hp 148 ft-lbs Turbo", "Honda 1.7L 4 cylinder VTEC 127hp 114torque", "Honda 1.8L 4 Cylinder 110 hp 106 ft-lbs CNG", "Honda 1.5L 4 Cylinder 117 hp 106 ft-lbs", "Dodge 1.8L 4 Cylinder 148 hp 125 ft-lbs", "Smart 1L 3 Cylinder 70 hp 68 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 148 hp 146 ft-lbs", "Honda 2.2L 4 cylinder VTEC 195hp 156 torque", "Mazda 2.5L 4 Cylinder 153 hp 136 ft-lbs Hybrid", "Smart 1.0L 3 Cylinder 71 hp 68 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 143 hp 143 ft-lbs", "Honda 1.6L 4 cylinder VTEC 160hp 111 torque", "Honda 2.2L 4 cylinder 130hp 139 torque", "Straight-4", "Honda 1.0L 3 cylinders VTEC 65hp 65 torque", "Saturn 1.8L 4 cylinder 138 hp 125 ft-lbs", "Volkswagen 2L 4Cylinder 115hp 122torque", "Nissan 2.0L 4 cylinder 135 hp 142 ft-lbs", "Honda 1.4L 4 cylinder VTEC 85hp 87 torque", "Chevrolet 2.2L 4 Cylinder 149 hp 152 ft-lbs", "Honda 2.3L 4 cylinder 150hp 152 torque", "Mazda 2.3L 4 Cylinder 156 hp 154 ft-lbs", "Mazda 1.3L R2 232 hp 159 ft-lbs", "Hyundai 2.0L 4 cylinder 132hp 133 torque", "Honda 1.5L 4 Cylinder 110 hp 127 ft-lbs Hybrid", "Subaru 2.2L 4 Cylinder Regular", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Hyundai 2.0L 4 cylinder", "Mazda 2.3L 4 Cylinder 156 hp 150 ft-lbs", "Kia 2.0L 4 Cylinder 156 hp 144 ft-lbs", "Ford 2.3L 4 Cylinder 155hp 124 ft-lbs Hybrid", "Mercury 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Honda 1.0L 3-Cylinder 73hp 79torque", "Nissan 1.8L 4 Cylinder 122 hp 127 ft-lbs", "Ford 2.3L 4 Cylinder 133hp 124 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 143 hp 154 ft-lbs", "Honda 1.4L 4 cylinder VTEC 93hp 105 torque", "Toyota 2.4L 4 Cylinder 155 hp 158 ft-lbs", "Honda 1.6L 4 Cylinder 117hp 111 torque", "Honda 2.0L 4 cylinder 126hp 133 torque", "Kia 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "In-Line 3-Cylinder", "Pontiac 1.6L 4 Cylinder 106 hp 105 ft-lbs", "Chevrolet 1.8L 4 Cylinder 138 hp 123 ft-lbs", "Kia 2.0L 4 Cylinder 138 hp 136 ft-lbs", "Chevrolet 1.8L 4 Cylinder 136 hp 123 ft-lbs", "Suzuki 2.0L 4 Cylinder 150 hp 140 ft-lbs", "Hyundai 1.8L 4 Cylinder 145 hp 130 ft-lbs", "Toyota 1.8L 4 Cylinder 132 hp 128 ft-lbs.", "Honda 2.1L 4 Cylinder 200hp 156torque", "MINI 1.6L 4 Cylinder 118 hp 114 ft-lbs", "Mercury 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Mitsubishi 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 128lb-ft Hybrid", "Suzuki 2.3L 4 Cylinder 155 hp 152 ft-lbs", "Honda 2.0L 4 Cyinder 197 hp 139 ft-lbs", "Honda 2.0L 4 cylinder 146hp 133torque", "Scion 1.3L 4 Cylinder 94hp 89ft-lbs", "Honda 1.6L 4 Cylinder 115hp 110 torque", "Pontiac 1.6L 4 Cylinder", "Mazda 2.3L 4 Cylinder 143 hp 154 ft-lb", "Ford 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Hyundai 2.0L 4 Cylinder 165 hp 146 ft-lbs", "Toyota 1.8L 4 Cylinder 98 hp 105 ft-lbs Hybrid", "Lotus 1.8L 4 Cylinder 190 hp 138 ft-lbs", "Kia 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Honda 1.0L 3 cylinders 67 hp 66 torque", "Lotus 1.8L 4 Cylinder 189 hp 133 ft-lbs", "Pontiac 2.4L 4 Cylinder 164 hp 156 ft-lbs", "Nissan 1.8L 4 cylinder 122 hp 127 ft-lbs", "Kia 2.0L 4 Cylinder 142 hp 137 ft-lbs", "Mazda 1.5L 4 Cylinder 100 hp 98 ft-lbs", "Mazda 2L 4 Cylinder 166hp 140 ft-lbs", "Mini 1.6L 4 Cylinder 121 hp 114 ft-lbs", "Suzuki 2.0L 4 Cylinder 143 hp 136 ft-lbs", "Mazda 1.3L R2 212 hp 159 ft-lbs", "Toyota 2.4L 4 Cylinder 147 hp 138 ft-lbs. Hybrid", "Ford 1.6L 4 Cylinder 120 hp 112 ft-lbs", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Chevrolet 1.8L 4 Cylinder 138 hp 125 ft-lbs", "Honda 1.3L 4 Cylinder 98hp 123ft-lbs Hybrid", "Chevrolet 2.4L 4 Cylinder 170 hp 158 ft-lbs FFV", "Honda 1.7L 4 cylinder 100hp 98torque VTEC", "Mazda 2.0L 4 Cylinder 148 hp 135 ft-lbs", "Nissan 1.6L 4 Cylinder 109 hp 107 ft-lbs", "Honda 1.6L 4 Cylinder 127hp 114 torque", "Kia 1.6L 4 Cylinder 110 hp 107 ft-lbs", "Honda 1.7L 4 cylinder 117 hp 111torque VTEC", "Hyundai 1.6L 4 cylinder 110hp 106 ft-lbs", "Ford 2.0L 4 cylinder 130 hp 129 ft-lbs", "Jeep 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Suzuki 2.3L 4 Cylinder Regular", "Mazda 2.0L 4 Cylinder 167 hp 140 ft-lbs", "Honda 1.3L 4 Cylinder 110chp 123 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 151hp 154 ft-lbs", "Honda 1.6L 4 cylinder VTEC 127hp 107 torque", "Honda 1.7L 4 cylinder 113hp 109 torque", "Honda 2.0L 4 cylinder 240hp 153torque", "Toyota 1.5L 4 Cylinder 106 hp 103 ft-lbs", "Pontiac 1.8L 4 Cylinder 132 hp 128 ft-lbs", "Chevrolet 1.6L 4 Cylinder 103 hp 107 ft-lbs", "Suzuki 2.0L 4 Cylinder 148 hp 140 ft-lbs", "Toyota 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Mazda 2.3L 4 Cylinder 153 hp 148 ft-lbs" ], "function": "<", "commonness": -15.469558894770003, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine", "class": "automotive.engine", "friendly_name": "Engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine.torque_ft_lbs", "friendly_name": "Torque" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :automotive.engine . \nFILTER (?x1 < 160.0)\n?x0 :automotive.engine.torque_ft_lbs ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 132000200, "question": "give me automobile engines with less than 160.0 pound-feet of torque.", "answer": [ "Chevrolet 2.4L 4 Cylinder 170 hp 158 ft-lbs FFV", "Pontiac 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Honda 1.4L 4 cylinder VTEC 93hp 105 torque", "Honda 1.7L 4 cylinder 113hp 109 torque", "Suzuki 2.0L 4 Cylinder 127 hp 131 ft-lbs", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs FFV", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Pontiac 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Mazda 2.3L 4 Cylinder 143 hp 154 ft-lb", "Chevrolet 1.8L 4 Cylinder 136 hp 123 ft-lbs", "Mercury 2.3L 4 cylinder 153hp 152 ft-lbs", "Mitsubishi 2.4L 4 Cylinder 155 hp 157 ft-lbs", "Honda 2.0L 4 cylinder 126hp 133 torque", "Scion 1.8L 4 Cylinder 128 hp 125 ft-lbs.", "Lotus 1.8L 4 Cylinder 190 hp 138 ft-lbs", "MINI 1.6L 4 Cylinder 118 hp 114 ft-lbs", "Mazda 2.5L 4 Cylinder 153 hp 136 ft-lbs Hybrid", "Pontiac 1.6L 4 Cylinder 106 hp 105 ft-lbs", "Honda 2.0L 4 cylinder 240hp 153torque", "Honda 1.6L 4 cylinder VTEC 127hp 107 torque", "Toyota 2.4L 4 Cylinder 192 hp 138 ft-lbs. Hybrid", "Mazda 1.3L R2 212 hp 159 ft-lbs", "Ford 2.0L 4 cylinder 130 hp 129 ft-lbs", "Honda 2.2L4 cyclinder140hp 145 torque", "Mercury 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Kia 1.6L 4 Cylinder 122 hp 115 ft-lbs", "Honda 1.7L 4 cylinder 117 hp 111torque VTEC", "Pontiac 2.4L 4 Cylinder 164 hp 156 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Honda 1.6L 4 Cylinder 127hp 114 torque", "MINI 1.6L 4 Cylinder 115 hp 111 ft-lbs", "Mazda 2.3L 4 Cylinder 156 hp 154 ft-lbs", "Honda 1.7L 4 cylinder 100hp 98torque VTEC", "Volkswagen 2L 4Cylinder 115hp 122torque", "Honda 1.3L 4 Cylinder 110chp 123 ft-lbs Hybrid", "Honda 1.8L 4 Cylinder 110 hp 106 ft-lbs CNG", "Mercury 2.3L 4 cylinder 160 hp 156 ft-lbs", "Honda 2.0L 4 cylinder 160hp 132torque", "Volkswagen 2.0L 4 Cylinder 115 hp 125 ft-lbs", "Suzuki 1.6L 4 Cylinder Regular", "Mitsubishi 2.0L 4 Cylinder 143 hp 143 ft-lbs", "Honda 2.0L 4 cylinder 197hp 139ft-lbs", "Hyundai 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Mazda 2.3L 4 Cylinder 153 hp 148 ft-lbs", "Kia 2.0L 4 Cylinder 138 hp 136 ft-lbs", "Chevrolet 1.4L 4 Cylinder 138 hp 148 ft-lbs Turbo", "Honda 1.6L 4 cylinder Natural Gas 110hp 96torque", "Chevrolet 2.4L 4 Cylinder 164 hp 159 ft-lbs Hybrid", "Toyota 2.4L 4 Cylinder 147 hp 138 ft-lbs. Hybrid", "Pontiac 1.6L 4 Cylinder", "Chevrolet 1.6L 4 Cylinder 103 hp 107 ft-lbs", "Honda 1.0 3 cylinders 71hp 89 torque", "Mazda 2.0L 4 Cylinder 167 hp 140 ft-lbs", "Kia 2.0L 4 Cylinder 156 hp 144 ft-lbs", "Nissan 2.0L 4 cylinder 135 hp 142 ft-lbs", "Mercury 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 160hp 156 ft-lbs", "Ford 2.3L 4 Cylinder 133hp 124 ft-lbs Hybrid", "Mazda 2.0L 4 Cylinder 155 hp 148 lb-ft", "Honda 1.5L 4 Cylinder 110 hp 127 ft-lbs Hybrid", "Honda 1.9L 4 Cylinder 240hp 153torque", "Dodge 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Toyota 1.8L 4 Cylinder 132 hp 128 ft-lbs.", "Mini 1.6L 4 Cylinder 121 hp 114 ft-lbs", "Hyundai 1.8L 4 Cylinder 145 hp 130 ft-lbs", "Ford 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 155hp 124 ft-lbs Hybrid", "Honda 2.2L 4 cylinder 145hp 147 torque", "Mazda 2.3L 4 Cylinder 156 hp 150 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Lincoln 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Mazda 2L 4 Cylinder 166hp 140 ft-lbs", "Honda 1.6L 4 cylinder VTEC 160hp 111 torque", "Dodge 1.8L 4 Cylinder 148 hp 125 ft-lbs", "Honda 2.1L 4 Cylinder 200hp 156torque", "Ford 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Ford 2.0L 4 Cylinder 136 hp 133 ft-lbs", "Smart 1.0L 3 Cylinder 70 hp 68 ft-lbs", "Honda 2.0L 4 Cyinder 197 hp 139 ft-lbs", "Honda 1.5L 4 Cylinder 117 hp 106 ft-lbs", "Suzuki 2.0L 4 Cylinder 150 hp 140 ft-lbs", "Hyundai 2.0L 4 cylinder 132hp 133 torque", "Chevrolet 2.2L 4 Cylinder 144 hp 155 ft-lbs", "Honda 1.0L 3 cylinders 67 hp 66 torque", "Mercury 2.3L 4 cylinder 133 hp 124 ft-lbs Hybrid", "Saturn 2.2L 4 cylinder 144 hp 149 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 128lb-ft Hybrid", "Mazda 2.3L 4 Cylinder 133 hp 124 ft-lb Hybrid", "Hyundai 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Honda 1.0L 3 cylinders VTEC 73hp 79 torque", "Ford 2.0L 4 Cylinder 160 hp 146 ft-lbs", "Mazda 2L 4 Cylinder 163 hp 140 ft-lbs", "Chevrolet 1.8L 4 Cylinder 138 hp 123 ft-lbs", "Toyota 1.8L 4 Cylinder 98 hp 105 ft-lbs Hybrid", "Toyota 2.4L 4 Cylinder 155 hp 158 ft-lbs", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs PZEV", "Suzuki 2.0L 4 Cylinder 143 hp 136 ft-lbs", "Mazda 2.0L 4 Cylinder 148 hp 135 ft-lbs", "Honda 1.7L 4 cylinder 115hp 110torque", "Honda 1.6L 4 Cylinder 117hp 111 torque", "Honda 1.0L 3 cylinders VTEC 67hp 66 torque", "Toyota 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Honda 2.2L 4 cylinder VTEC 190hp 156 torque", "Honda 1.6L 4 cylinder VTEC 115hp 104 torque", "Ford 1.6L 4 Cylinder 120 hp 112 ft-lbs", "Suzuki 2.3L 4 Cylinder Regular", "Ford 2.3L 4 Cylinder 143 hp 154 ft-lbs", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Lexus 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Kia 2.0L 4 Cylinder 142 hp 137 ft-lbs", "Hyundai 2.0L 4 cylinder 140hp 136 ft-lbs", "Subaru 2.2L 4 Cylinder Regular", "Honda 1.8L 4 Cylinder 113 hp 109 ft-lbs CNG", "Chevrolet 1.8L 4 Cylinder 138 hp 125 ft-lbs", "Ford 2.0L 4 Cylinder 136 hp 128 ft-lbs", "Chevrolet 1.6L 4 Cylinder 106hp 105 ft-lbs", "Lexus 1.8L 4 Cylinder 134 hp 142 ft-lbs Hybrid", "Saturn 1.8L 4 cylinder 138 hp 125 ft-lbs", "Lotus 1.8L 4 Cylinder 189 hp 133 ft-lbs", "Honda 2.0L 4 cylinder 146hp 133torque", "Toyota 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Honda 1.7L 4 cylinder VTEC 127hp 114torque", "Nissan 1.6L 4 Cylinder 107 hp 111 ft-lbs", "Honda 1.0L 3 cylinders VTEC 65hp 65 torque", "Hyundai 1.8L 4 Cylinder 148 hp 131 ft-lbs", "Honda 2.3L 4 Cylinder 135hp 145 torque", "Mitsubishi 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Jeep 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Honda 1.4L 4 cylinder VTEC 93hp 116 torque", "In-Line 3-Cylinder", "Chevrolet 1.6L 4 Cylinder 108 hp 105 ft-lbs", "Kia 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Honda 1.3L 4 Cylinder 98hp 123ft-lbs Hybrid", "Pontiac 1.8L 4 Cylinder 132 hp 128 ft-lbs", "Nissan 2.0L 4 cylinder 140 hp 147 ft-lbs", "1.3 2 Cylinder 212 hp 159 ft-lb", "Nissan 1.6L 4 Cylinder 109 hp 107 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Toyota 1.5L 4 Cylinder 110 hp 82 ft-lbs. Hybrid", "Hyundai 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Honda 2.2L 4 cylinder VTEC 195hp 156 torque", "Mazda 1.5L 4 Cylinder 100 hp 98 ft-lbs", "Suzuki 2.3L 4 Cylinder 155 hp 152 ft-lbs", "Honda 1.6L 4 Cylinder 115hp 110 torque", "Chevrolet 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Ford 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Hyundai 1.6L 4 cylinder 110hp 106 ft-lbs", "Kia 1.6L 4 Cylinder 110 hp 107 ft-lbs", "Mazda 2.3L 4 Cylinder 153 hp 152 ft-lb", "Straight-4", "Honda 1.6L 4 cylinder 106hp 103 torque", "Honda 2.2L 4 cylinder 130hp 139 torque", "Pontiac 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Mazda 1.3L R2 232 hp 159 ft-lbs", "Mazda 2L 4 Cylinder 148Hp 135 ft-lbs", "Saturn 2.4L 4 cylinder 164 hp 159 ft-lbs Hybrid", "Toyota 1.8L 4 Cylinder 134 hp 105 ft-lbs Hybrid", "Honda 1.0L 3-Cylinder 73hp 79torque", "Hyundai 2.0L 4 Cylinder 165 hp 146 ft-lbs", "Ford 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Mercury 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Mitsubishi 2.0L 4 Cylinder 148 hp 146 ft-lbs", "Kia 2.0L 4 Cylinder 132 hp 133 ft-lbs", "Suzuki 2.0L 4 Cylinder 148 hp 140 ft-lbs", "Hyundai 2.0L 4 cylinder 138 hp 136 ft-lbs", "Ford 2.3L 4 Cylinder 151hp 154 ft-lbs", "Smart 1L 3 Cylinder 70 hp 68 ft-lbs", "Honda 2.3L 4 cylinder 150hp 152 torque", "Ford 2.0L 4 Cylinder 132hp 133 ft-lbs", "Lotus 1.8L 4 Cylinder 217 hp 155 ft-lbs", "Scion 1.3L 4 Cylinder 94hp 89ft-lbs", "Nissan 1.8L 4 cylinder 122 hp 127 ft-lbs", "Lotus 1.8L 4 Cylinder 218 hp 156 ft-lbs S-charged", "Honda 1.4L 4 cylinder VTEC 85hp 87 torque", "Kia 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Smart 1.0L 3 Cylinder 71 hp 68 ft-lbs", "Mazda 2.0L 4 Cylinder 158 hp 140 ft-lbs", "Honda 1L 3 Cylinder 65 HP 65 Torque", "Honda 1.5L 4 Cylinder 122hp 123 lb-ft Hybrid", "Honda 1.5L 4 Cylinder 109 hp 105 ft-lbs", "Kia 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Honda 1.8L 4 Cylinder 140hp 128 ft-lbs", "Chevrolet 2.2L 4 Cylinder 149 hp 152 ft-lbs", "Ford 2.3L 4 cylinder 153hp 152 ft-lbs", "Mazda 2.0L 4 Cylinder 167 hp 158 ft-lbs", "Toyota 1.5L 4 Cylinder 106 hp 103 ft-lbs", "Kia 2.0L 4 Cylinder 164 hp 148 ft-lbs", "Nissan 1.8L 4 Cylinder 122 hp 127 ft-lbs", "Honda 0.95L 3 Cylinder 67hp 66torque", "Hyundai 2.0L 4 cylinder" ], "function": "<", "commonness": -15.469558894770003, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine", "class": "automotive.engine", "friendly_name": "Engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine.torque_ft_lbs", "friendly_name": "Torque" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :automotive.engine . \nFILTER (?x1 < 160.0)\n?x0 :automotive.engine.torque_ft_lbs ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 132000300, "question": "list automobile engines with 160.0 pound-feet of torque or less", "answer": [ "Chevrolet 1.8L 4 Cylinder 138 hp 123 ft-lbs", "Ford 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Chevrolet 1.4L 4 Cylinder 138 hp 148 ft-lbs Turbo", "Kia 1.6L 4 Cylinder 110 hp 107 ft-lbs", "Honda 1.4L 4 cylinder VTEC 93hp 105 torque", "Mitsubishi 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Honda 1.9L 4 Cylinder 240hp 153torque", "Ford 2.3L 4 Cylinder 155hp 124 ft-lbs Hybrid", "Chevrolet 2.2L 4 Cylinder 149 hp 152 ft-lbs", "Chevrolet 1.8L 4 Cylinder 136 hp 123 ft-lbs", "Chevrolet 2.4L 4 Cylinder 170 hp 158 ft-lbs FFV", "Honda 1.5L 4 Cylinder 117 hp 106 ft-lbs", "Nissan 2.0L 4 cylinder 140 hp 147 ft-lbs", "Pontiac 1.6L 4 Cylinder", "Mitsubishi 2.0L 4 Cylinder 143 hp 143 ft-lbs", "Suzuki 2.0L 4 Cylinder 143 hp 136 ft-lbs", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Ford 2.0L 4 Cylinder 160 hp 146 ft-lbs", "Honda 1.7L 4 cylinder VTEC 127hp 114torque", "Suzuki 2.0L 4 Cylinder 148 hp 140 ft-lbs", "Chevrolet 2.2L 4 Cylinder 144 hp 155 ft-lbs", "Lotus 1.8L 4 Cylinder 217 hp 155 ft-lbs", "Ford 2.0L 4 Cylinder 136 hp 133 ft-lbs", "Honda 2.0L 4 cylinder 240hp 153torque", "Mitsubishi 2.0L 4 Cylinder 148 hp 146 ft-lbs", "Scion 1.8L 4 Cylinder 128 hp 125 ft-lbs.", "Nissan 1.8L 4 Cylinder 122 hp 127 ft-lbs", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Hyundai 2.4L 4 Cylinder 160 hp 157 ft-lbs", "Kia 2.0L 4 Cylinder 132 hp 133 ft-lbs", "Ford 2.3L 4 cylinder 153hp 152 ft-lbs", "Pontiac 2.4L 4 Cylinder 164 hp 156 ft-lbs", "Mazda 2.0L 4 Cylinder 167 hp 158 ft-lbs", "Saturn 2.2L 4 cylinder 144 hp 149 ft-lbs", "Pontiac 1.8L 4 Cylinder 132 hp 128 ft-lbs", "Honda 2.0L 4 Cyinder 197 hp 139 ft-lbs", "Mazda 2L 4 Cylinder 166hp 140 ft-lbs", "Toyota 2.4L 4 Cylinder 155 hp 158 ft-lbs", "Ford 2.3L 4 Cylinder 151hp 154 ft-lbs", "Honda 1.0L 3 cylinders VTEC 73hp 79 torque", "Nissan 1.6L 4 Cylinder 109 hp 107 ft-lbs", "Honda 1.0L 3-Cylinder 73hp 79torque", "Ford 2.0L 4 Cylinder 136 hp 128 ft-lbs", "Mazda 1.3L R2 212 hp 159 ft-lbs", "Honda 2.2L 4 cylinder 130hp 139 torque", "Toyota 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Hyundai 2.0L 4 cylinder 140hp 136 ft-lbs", "Toyota 1.8L 4 Cylinder 134 hp 105 ft-lbs Hybrid", "Mazda 2.3L 4 Cylinder 153 hp 152 ft-lb", "Mazda 2.0L 4 Cylinder 167 hp 140 ft-lbs", "Honda 1.6L 4 cylinder VTEC 160hp 111 torque", "Honda 1.3L 4 Cylinder 110chp 123 ft-lbs Hybrid", "Smart 1L 3 Cylinder 70 hp 68 ft-lbs", "Honda 1.7L 4 cylinder 117 hp 111torque VTEC", "Honda 1.4L 4 cylinder VTEC 85hp 87 torque", "Honda 1.4L 4 cylinder VTEC 93hp 116 torque", "Kia 2.0L 4 Cylinder 164 hp 148 ft-lbs", "Kia 2.0L 4 Cylinder 156 hp 144 ft-lbs", "Toyota 2.4L 4 Cylinder 147 hp 138 ft-lbs. Hybrid", "Hyundai 2.0L 4 Cylinder 165 hp 146 ft-lbs", "Hyundai 2.0L 4 cylinder", "MINI 1.6L 4 Cylinder 118 hp 114 ft-lbs", "Honda 1.0L 3 cylinders VTEC 67hp 66 torque", "Honda 1.6L 4 cylinder Natural Gas 110hp 96torque", "Mercury 2.3L 4 cylinder 133 hp 124 ft-lbs Hybrid", "Mazda 2L 4 Cylinder 148Hp 135 ft-lbs", "Toyota 2.4L 4 Cylinder 192 hp 138 ft-lbs. Hybrid", "Suzuki 2.0L 4 Cylinder 127 hp 131 ft-lbs", "Honda 2.3L 4 cylinder 150hp 152 torque", "Volkswagen 2L 4Cylinder 115hp 122torque", "Mercury 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "In-Line 3-Cylinder", "Hyundai 1.8L 4 Cylinder 145 hp 130 ft-lbs", "Subaru 2.2L 4 Cylinder Regular", "Pontiac 1.8L 4 Cylinder 126 hp 122 ft-lbs", "Chevrolet 2.4L 4 Cylinder 164 hp 159 ft-lbs Hybrid", "Toyota 1.8L 4 Cylinder 132 hp 128 ft-lbs.", "Lotus 1.8L 4 Cylinder 189 hp 133 ft-lbs", "Honda 2.3L 4 Cylinder 135hp 145 torque", "Mazda 2.3L 4 Cylinder 156 hp 150 ft-lbs", "Jeep 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Ford 2.0L 4 Cylinder 132hp 133 ft-lbs", "Dodge 2.0L 4 Cylinder 158 hp 141 ft-lbs", "Honda 2.1L 4 Cylinder 200hp 156torque", "Honda 1.5L 4 Cylinder 110 hp 127 ft-lbs Hybrid", "Mazda 2.3L 4 Cylinder 143 hp 154 ft-lb", "Mazda 2.3L 4 Cylinder 156 hp 154 ft-lbs", "Suzuki 1.6L 4 Cylinder Regular", "Mazda 2.0L 4 Cylinder 158 hp 140 ft-lbs", "Mazda 1.3L R2 232 hp 159 ft-lbs", "Mazda 2.3L 4 Cylinder 133 hp 124 ft-lb Hybrid", "Honda 1.6L 4 cylinder 106hp 103 torque", "Ford 2.3L 4 Cylinder 160hp 156 ft-lbs", "Smart 1.0L 3 Cylinder 70 hp 68 ft-lbs", "Lexus 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "1.3 2 Cylinder 212 hp 159 ft-lb", "Scion 1.3L 4 Cylinder 94hp 89ft-lbs", "Honda 0.95L 3 Cylinder 67hp 66torque", "Honda 2.0L 4 cylinder 197hp 139ft-lbs", "Saturn 1.8L 4 cylinder 138 hp 125 ft-lbs", "Mitsubishi 2.4L 4 Cylinder 155 hp 157 ft-lbs", "Lincoln 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Honda 2.2L4 cyclinder140hp 145 torque", "Pontiac 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Honda 1.7L 4 cylinder 100hp 98torque VTEC", "Honda 1L 3 Cylinder 65 HP 65 Torque", "Honda 1.8L 4 Cylinder 140hp 128 ft-lbs", "Pontiac 2.2L 4 Cylinder 155 hp 150 ft-lbs", "Ford 2.3L 4 Cylinder 143 hp 154 ft-lbs", "Suzuki 2.3L 4 Cylinder 155 hp 152 ft-lbs", "Chevrolet 2.2L 4 Cylinder 148 hp 152 ft-lbs", "Lotus 1.8L 4 Cylinder 218 hp 156 ft-lbs S-charged", "Mazda 1.5L 4 Cylinder 100 hp 98 ft-lbs", "Hyundai 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs PZEV", "Hyundai 2.0L 4 cylinder 138 hp 136 ft-lbs", "Ford 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Honda 2.2L 4 cylinder VTEC 190hp 156 torque", "Chevrolet 1.6L 4 Cylinder 106hp 105 ft-lbs", "Honda 1.8L 4 Cylinder 110 hp 106 ft-lbs CNG", "Mercury 2.5L 4 cylinder 153hp 136 ft-lbs Hybrid", "Honda 1.6L 4 Cylinder 115hp 110 torque", "Kia 1.6L 4 Cylinder 122 hp 115 ft-lbs", "Toyota 2.4L 4 Cylinder 187 hp 138 ft-lbs Hybrid", "Mazda 2.0L 4 Cylinder 148 hp 135 ft-lbs", "Honda 1.3L 4 Cylinder 98hp 123ft-lbs Hybrid", "Honda 1.0L 3 cylinders 67 hp 66 torque", "Mini 1.6L 4 Cylinder 121 hp 114 ft-lbs", "Suzuki 2.0L 4 Cylinder 150 hp 140 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 123 lb-ft Hybrid", "Toyota 1.5L 4 Cylinder 110 hp 82 ft-lbs. Hybrid", "Honda 2.0L 4 cylinder 160hp 132torque", "Hyundai 2.0L 4 cylinder 132hp 133 torque", "Pontiac 1.6L 4 Cylinder 106 hp 105 ft-lbs", "Honda 1.6L 4 cylinder VTEC 115hp 104 torque", "Chevrolet 2.2L 4 Cylinder 155 hp 150 ft-lbs FFV", "Mitsubishi 2.0L 4 Cylinder 152 hp 146 ft-lbs", "Ford 2.5L 4 Cylinder 156 hp 136 ft-lbs Hybrid", "Saturn 2.4L 4 cylinder 164 hp 159 ft-lbs Hybrid", "Mitsubishi 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Kia 2.4L 4 Cylinder 166 hp 154 ft-lbs Hybrid", "Honda 1.0 3 cylinders 71hp 89 torque", "Mercury 2.3L 4 cylinder 153hp 152 ft-lbs", "Toyota 1.8L 4 Cylinder 98 hp 105 ft-lbs Hybrid", "Mercury 2.3L 4 cylinder 160 hp 156 ft-lbs", "Honda 1.5L 4 Cylinder 122hp 128lb-ft Hybrid", "Honda 1.5L 4 Cylinder 109 hp 105 ft-lbs", "Hyundai 1.8L 4 Cylinder 148 hp 131 ft-lbs", "Honda 1.7L 4 cylinder 113hp 109 torque", "Dodge 1.8L 4 Cylinder 148 hp 125 ft-lbs", "Toyota 1.5L 4 Cylinder 106 hp 103 ft-lbs", "MINI 1.6L 4 Cylinder 115 hp 111 ft-lbs", "Honda 1.6L 4 Cylinder 117hp 111 torque", "Honda 1.0L 3 cylinders VTEC 65hp 65 torque", "Mazda 2.0L 4 Cylinder 155 hp 148 lb-ft", "Chevrolet 1.8L 4 Cylinder 138 hp 125 ft-lbs", "Mazda 2.3L 4 Cylinder 153 hp 148 ft-lbs", "Honda 1.6L 4 Cylinder 127hp 114 torque", "Ford 1.6L 4 Cylinder 120 hp 112 ft-lbs", "Honda 2.0L 4 cylinder 126hp 133 torque", "Lexus 1.8L 4 Cylinder 134 hp 142 ft-lbs Hybrid", "Lotus 1.8L 4 Cylinder 190 hp 138 ft-lbs", "Mazda 2L 4 Cylinder 163 hp 140 ft-lbs", "Kia 2.0L 4 Cylinder 140 hp 136 ft-lbs", "Chevrolet 1.6L 4 Cylinder 103 hp 107 ft-lbs", "Nissan 1.6L 4 Cylinder 107 hp 111 ft-lbs", "Honda 2.0L 4 cylinder 146hp 133torque", "Chevrolet 1.6L 4 Cylinder 108 hp 105 ft-lbs", "Honda 1.7L 4 cylinder 115hp 110torque", "Ford 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Smart 1.0L 3 Cylinder 71 hp 68 ft-lbs", "Volkswagen 2.0L 4 Cylinder 115 hp 125 ft-lbs", "Straight-4", "Honda 2.2L 4 cylinder VTEC 195hp 156 torque", "Kia 2.0L 4 Cylinder 142 hp 137 ft-lbs", "Nissan 1.8L 4 cylinder 122 hp 127 ft-lbs", "Subaru 2.0L 4 Cylinder 148 hp 145 ft-lbs", "Hyundai 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Mercury 2.5L 4 Cylinder 177 hp 136 ft-lbs Hybrid", "Ford 2.3L 4 Cylinder 133hp 124 ft-lbs Hybrid", "Honda 1.8L 4 Cylinder 113 hp 109 ft-lbs CNG", "Nissan 2.0L 4 cylinder 135 hp 142 ft-lbs", "Kia 1.6L 4 Cylinder 138 hp 123 ft-lbs", "Honda 2.2L 4 cylinder 145hp 147 torque", "Hyundai 1.6L 4 cylinder 110hp 106 ft-lbs", "Suzuki 2.3L 4 Cylinder Regular", "Ford 2.0L 4 cylinder 130 hp 129 ft-lbs", "Mazda 2.5L 4 Cylinder 153 hp 136 ft-lbs Hybrid", "Kia 2.0L 4 Cylinder 138 hp 136 ft-lbs", "Honda 1.6L 4 cylinder VTEC 127hp 107 torque" ], "function": "<", "commonness": -15.469558894770003, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.engine", "class": "automotive.engine", "friendly_name": "Engine", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "automotive.engine.torque_ft_lbs", "friendly_name": "Torque" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :automotive.engine . \nFILTER (?x1 < 160.0)\n?x0 :automotive.engine.torque_ft_lbs ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 133000000, "question": "which elements take 6.8281 ev or more to remove the first electron?", "answer": [ "Bromine", "Radon", "Lead", "Gold", "Antimony", "Iridium", "Polonium", "Tin", "Astatine", "Hydrogen", "Beryllium", "Silicon", "Iodine", "Palladium", "Krypton", "Zinc", "Tantalum", "Titanium", "Rhenium", "Sulfur", "Neon", "Iron", "Carbon", "Ruthenium", "Platinum", "Argon", "Tungsten", "Cobalt", "Oxygen", "Arsenic", "Selenium", "Chlorine", "Silver", "Fluorine", "Cadmium", "Mercury", "Phosphorus", "Molybdenum", "Manganese", "Nitrogen", "Rhodium", "Germanium", "Osmium", "Boron", "Copper", "Technetium", "Tellurium", "Xenon", "Bismuth", "Magnesium", "Helium", "Nickel" ], "function": ">=", "commonness": -15.146760603120509, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.8281^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.8281", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_element.ionization_energy", "friendly_name": "Ionization Energy" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.chemical_element . \nFILTER (?x1 >= 6.8281)\n?x0 :chemistry.chemical_element.ionization_energy ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 133000100, "question": "the ionization energy of which elements are at least 6.8281 ev?", "answer": [ "Neon", "Krypton", "Selenium", "Boron", "Iron", "Iodine", "Germanium", "Hydrogen", "Antimony", "Cobalt", "Fluorine", "Helium", "Gold", "Nickel", "Platinum", "Cadmium", "Chlorine", "Silver", "Zinc", "Phosphorus", "Radon", "Rhodium", "Tin", "Osmium", "Tantalum", "Arsenic", "Bismuth", "Ruthenium", "Magnesium", "Rhenium", "Iridium", "Silicon", "Sulfur", "Manganese", "Lead", "Argon", "Molybdenum", "Astatine", "Technetium", "Mercury", "Palladium", "Titanium", "Oxygen", "Tellurium", "Bromine", "Tungsten", "Copper", "Carbon", "Xenon", "Nitrogen", "Beryllium", "Polonium" ], "function": ">=", "commonness": -15.146760603120509, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.8281^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.8281", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_element.ionization_energy", "friendly_name": "Ionization Energy" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.chemical_element . \nFILTER (?x1 >= 6.8281)\n?x0 :chemistry.chemical_element.ionization_energy ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 133000200, "question": "which elements have an ionization energy higher than or equal to 6.8281 ev?", "answer": [ "Astatine", "Tin", "Mercury", "Phosphorus", "Neon", "Oxygen", "Polonium", "Gold", "Silver", "Boron", "Germanium", "Bromine", "Fluorine", "Iridium", "Rhenium", "Cadmium", "Nickel", "Technetium", "Rhodium", "Iodine", "Titanium", "Lead", "Nitrogen", "Argon", "Radon", "Tungsten", "Tellurium", "Antimony", "Tantalum", "Hydrogen", "Zinc", "Beryllium", "Manganese", "Copper", "Silicon", "Cobalt", "Platinum", "Osmium", "Xenon", "Selenium", "Chlorine", "Carbon", "Krypton", "Ruthenium", "Helium", "Palladium", "Sulfur", "Arsenic", "Molybdenum", "Bismuth", "Iron", "Magnesium" ], "function": ">=", "commonness": -15.146760603120509, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "6.8281^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "6.8281", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.chemical_element.ionization_energy", "friendly_name": "Ionization Energy" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.chemical_element . \nFILTER (?x1 >= 6.8281)\n?x0 :chemistry.chemical_element.ionization_energy ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 134000000, "question": "find all exoplanets with an maximum absolute magnitude of 12.629.", "answer": [ "1914 Hartbeespoortdam", "7483 Sekitakakazu", "4981 Sinyavskaya", "3933 Portugal", "3157 Novikov", "1484 Postrema", "1073 Gellivara", "7176 Kuniji", "3369 Freuchen", "2132 Zhukov", "392 Wilhelmina", "7950 Berezov", "12 Victoria", "4056 Timwarner", "197 Arete", "14206 Sehnal", "5889 Mickiewicz", "3264 Bounty", "23383 Schedios", "5382 McKay", "10809 Majsterrojr", "4457 van Gogh", "4426 Roerich", "3614 Tumilty", "9090 Chirotenmondai", "2043 Ortutay", "5435 Kameoka", "12868 Onken", "384 Burdigala", "1723 Klemola", "3675 Kemstach", "454 Mathesis", "2882 Tedesco", "3346 Gerla", "76 Freia", "3830 Trelleborg", "782 Montefiore", "5546 Salavat", "15499 Cloyd", "20898 Fountainhills", "2215 Sichuan", "4454 Kumiko", "360 Carlova", "6287 Lenham", "13018 Geoffjames", "5403 Takachiho", "6220 Stepanmakarov", "7152 Euneus", "5306 Fangfen", "22227 Polyxenos", "5405 Neverland", "55701 Ukalegon", "8787 Ignatenko", "3025 Higson", "1692 Subbotina", "13220 Kashiwagura", "3342 Fivesparks", "1085 Amaryllis", "14342 Iglika", "372 Palma", "1036 Ganymed", "5221 Fabribudweis", "4140 Branham", "3958 Komendantov", "149 Medusa", "4152 Weber", "1250 Galanthus", "8181 Rossini", "4672 Takuboku", "4192 Breysacher", "(120178) 2003 OP32", "7322 Lavrentina", "4526 Konko", "26858 Misterrogers", "1369 Ostanina", "2371 Dimitrov", "7124 Glinos", "6750 Katgert", "1354 Botha", "11933 Himuka", "17314 Aisakos", "3425 Hurukawa", "1268 Libya", "(84719) 2002 VR128", "4176 Sudek", "2078 Nanking", "6349 Acapulco", "3622 Ilinsky", "13860 Neely", "3228 Pire", "817 Annika", "2465 Wilson", "5714 Krasinsky", "8374 Horohata", "2685 Masursky", "702 Alauda", "1551 Argelander", "1616 Filipoff", "2805 Kalle", "2509 Chukotka", "5521 Morpurgo", "1998 WW31", "1292 Luce", "1703 Barry", "2004 XR190", "4196 Shuya", "4243 Nankivell", "4301 Boyden", "3329 Golay", "1457 Ankara", "447 Valentine", "6345 Hideo", "415 Palatia", "2124 Nissen", "21587 Christopynn", "1415 Malautra", "1350 Rosselia", "3987 Wujek", "1701 Okavango", "4261 Gekko", "346 Hermentaria", "7291 Hyakutake", "4846 Tuthmosis", "591 Irmgard", "3568 ASCII", "3176 Paolicchi", "5696 Ibsen", "2105 Gudy", "4557 Mika", "1674 Groeneveld", "1349 Bechuana", "3525 Paul", "4348 Poulydamas", "2573 Hannu Olavi", "5962 Shikokutenkyo", "7815 Dolon", "4085 Weir", "1462 Zamenhof", "1000 Piazzia", "1583 Antilochus", "2218 Wotho", "221 Eos", "4539 Miyagino", "2543 Machado", "1596 Itzigsohn", "3662 Dezhnev", "2144 Marietta", "1352 Wawel", "6931 Kenzaburo", "4422 Jarre", "1648 Shajna", "4259 McCoy", "7278 Shtokolov", "1784 Benguella", "1447 Utra", "604 Tekmessa", "1753 Mieke", "3961 Arthurcox", "4711 Kathy", "7037 Davidlean", "1793 Zoya", "3768 Monroe", "2749 Walterhorn", "1722 Goffin", "8316 Wolkenstein", "4615 Zinner", "1463 Nordenmarkia", "6371 Heinlein", "5609 Stroncone", "2765 Dinant", "7592 Takinemachi", "4856 Seaborg", "44 Nysa", "6645 Arcetri", "2141 Simferopol", "3523 Arina", "9117 Aude", "3693 Barringer", "10331 Peterbluhm", "516 Amherstia", "3910 Liszt", "2732 Witt", "3709 Polypoites", "2649 Oongaq", "132 Aethra", "5466 Makibi", "2837 Griboedov", "4752 Myron", "12395 Richnelson", "5367 Sollenberger", "1868 Thersites", "3127 Bagration", "311 Claudia", "4867 Polites", "4559 Strauss", "309 Fraternitas", "52 Europa", "1553 Bauersfelda", "87 Sylvia", "1416 Renauxa", "1172 Äneas", "1328 Devota", "189 Phthia", "5219 Zemka", "32 Pomona", "14612 Irtish", "773 Irmintraud", "371 Bohemia", "1383 Limburgia", "4460 Bihoro", "1091 Spiraea", "(35671) 1998 SN165", "1083 Salvia", "2669 Shostakovich", "1411 Brauna", "288 Glauke", "404 Arsinoë", "18568 Thuillot", "4118 Sveta", "2137 Priscilla", "5886 Rutger", "276 Adelheid", "(19308) 1996 TO66", "2520 Novorossijsk", "2252 CERGA", "145 Adeona", "1668 Hanna", "1008 La Paz", "5147 Maruyama", "5446 Heyler", "1208 Troilus", "2013 Tucapel", "55676 Klythios", "6500 Kodaira", "951 Gaspra", "5709 Tamyeunleung", "425 Cornelia", "3885 Bogorodskij", "1118 Hanskya", "5817 Robertfrazer", "3409 Abramov", "6937 Valadon", "2459 Spellmann", "3019 Kulin", "3902 Yoritomo", "5474 Gingasen", "6188 Robertpepin", "(182294) 2001 KU76", "1578 Kirkwood", "2894 Kakhovka", "1419 Danzig", "3407 Jimmysimms", "12284 Pohl", "3992 Wagner", "3438 Inarradas", "2563 Boyarchuk", "1226 Golia", "2612 Kathryn", "4860 Gubbio", "1528 Conrada", "4201 Orosz", "1791 Patsayev", "299 Thora", "3930 Vasilev", "7305 Ossakajusto", "2147 Kharadze", "2191 Uppsala", "5129 Groom", "3557 Sokolsky", "431 Nephele", "2378 Pannekoek", "1543 Bourgeois", "1295 Deflotte", "3663 Tisserand", "2226 Cunitza", "255 Oppavia", "3198 Wallonia", "1890 Konoshenkova", "3117 Niepce", "4502 Elizabethann", "5017 Tenchi", "2277 Moreau", "2718 Handley", "2729 Urumqi", "490 Veritas", "6372 Walker", "2687 Tortali", "369 Aëria", "1112 Polonia", "1485 Isa", "168 Sibylla", "2291 Kevo", "1995 GJ", "30P/Reinmuth", "1201 Strenua", "2095 Parsifal", "6389 Ogawa", "4588 Wislicenus", "1072 Malva", "103 Hera", "5852 Nanette", "5041 Theotes", "3860 Plovdiv", "5 Astraea", "1206 Numerowia", "1093 Freda", "4423 Golden", "4677 Hiroshi", "7766 Jododaira", "4427 Burnashev", "1617 Alschmitt", "2707 Ueferji", "22177 Saotome", "2122 Pyatiletka", "700 Auravictrix", "411 Xanthe", "60558 Echeclus", "185 Eunike", "12214 Miroshnikov", "5523 Luminet", "218 Bianca", "4006 Sandler", "5450 Sokrates", "3544 Borodino", "2052 Tamriko", "5106 Mortensen", "2956 Yeomans", "2186 Keldysh", "1482 Sebastiana", "6193 Manabe", "5186 Donalu", "8145 Valujki", "4258 Ryazanov", "11151 Oodaigahara", "3276 Porta Coeli", "1658 Innes", "655 Briseïs", "4833 Meges", "1210 Morosovia", "157 Dejanira", "26 Proserpina", "1581 Abanderada", "3937 Bretagnon", "24587 Kapaneus", "1483 Hakoila", "3661 Dolmatovskij", "195 Eurykleia", "2962 Otto", "4673 Bortle", "6908 Kunimoto", "1077 Campanula", "2905 Plaskett", "1220 Crocus", "3308 Ferreri", "984 Gretia", "68 Leto", "419 Aurelia", "2369 Chekhov", "6518 Vernon", "7911 Carlpilcher", "3189 Penza", "390 Alma", "2860 Pasacentennium", "2001 QF298", "4571 Grumiaux", "409 Aspasia", "2774 Tenojoki", "3219 Komaki", "19 Fortuna", "5497 Sararussell", "9829 Murillo", "6030 Zolensky", "2611 Boyce", "1337 Gerarda", "292 Ludovica", "1238 Predappia", "2260 Neoptolemus", "4758 Hermitage", "10143 Kamogawa", "4151 Alanhale", "3935 Toatenmongakkai", "10426 Charlierouse", "3729 Yangzhou", "8410 Hiroakiohno", "(225088) 2007 OR10", "1025 Riema", "1582 Martir", "2759 Idomeneus", "6570 Tomohiro", "44P/Reinmuth", "2752 Wu Chien-Shiung", "1683 Castafiore", "1918 Aiguillon", "2791 Paradise", "1143 Odysseus", "4664 Hanner", "2091 Sampo", "3250 Martebo", "4840 Otaynang", "2616 Lesya", "1999 LE31", "234 Barbara", "2880 Nihondaira", "19913 Aigyptios", "3066 McFadden", "1815 Beethoven", "6462 Myougi", "12658 Peiraios", "198 Ampella", "1541 Estonia", "6532 Scarfe", "4068 Menestheus", "2850 Mozhaiskij", "3793 Leonteus", "10888 Yamatano-orochi", "4756 Asaramas", "30724 Peterburgtrista", "2787 Tovarishch", "1410 Margret", "1086 Nata", "1057 Wanda", "10007 Malytheatre", "379 Huenna", "395 Delia", "1372 Haremari", "5613 Donskoj", "3645 Fabini", "3039 Yangel", "2951 Perepadin", "4126 Mashu", "6839 Ozenuma", "9092 Nanyang", "7331 Balindblad", "737 Arequipa", "1469 Linzia", "12279 Laon", "2767 Takenouchi", "8128 Nicomachus", "345 Tercidina", "5919 Patrickmartin", "1742 Schaifers", "2264 Sabrina", "58534 Logos", "4326 McNally", "581 Tauntonia", "4106 Nada", "2136 Jugta", "4813 Terebizh", "8814 Rosseven", "5519 Lellouch", "3501 Olegiya", "1603 Neva", "6042 Cheshirecat", "30704 Phegeus", "2116 Mtskheta", "1777 Gehrels", "6465 Zvezdotchet", "3132 Landgraf", "166 Rhodope", "5072 Hioki", "9083 Ramboehm", "18228 Hyperenor", "7198 Montelupo", "4195 Esambaev", "2890 Vilyujsk", "3063 Makhaon", "3423 Slouka", "4182 Mount Locke", "435 Ella", "3136 Anshan", "4719 Burnaby", "6941 Dalgarno", "1770 Schlesinger", "11249 Etna", "4315 Pronik", "(3708) 1974 FV1", "1334 Lundmarka", "2426 Simonov", "291 Alice", "4484 Sif", "212 Medea", "319 Leona", "2415 Ganesa", "2559 Svoboda", "33800 Gross", "1265 Schweikarda", "(229762) 2007 UK126", "5652 Amphimachus", "2743 Chengdu", "8661 Ratzinger", "6838 Okuda", "38 Leda", "3866 Langley", "3208 Lunn", "13010 Germantitov", "5928 Pindarus", "13772 Livius", "4041 Miyamotoyohko", "20 Massalia", "1358 Gaika", "3444 Stepanian", "6351 Neumann", "6720 Gifu", "1110 Jaroslawa", "3451 Mentor", "34993 Euaimon", "3916 Maeva", "2797 Teucer", "271 Penthesilea", "4224 Susa", "6472 Rosema", "3310 Patsy", "6997 Laomedon", "1510 Charlois", "1375 Alfreda", "26761 Stromboli", "1872 Helenos", "27 Euterpe", "5105 Westerhout", "3532 Tracie", "382 Dodona", "2000 Herschel", "1243 Pamela", "2400 Derevskaya", "1813 Imhotep", "287 Nephthys", "4836 Medon", "6576 Kievtech", "4187 Shulnazaria", "3419 Guth", "9670 Magni", "10582 Harumi", "5488 Kiyosato", "3704 Gaoshiqi", "5139 Rumoi", "6677 Renoir", "1595 Tanga", "(148209) 2000 CR105", "2255 Qinghai", "2891 McGetchin", "2950 Rousseau", "20000 Varuna", "1962 Dunant", "664 Judith", "233 Asterope", "3877 Braes", "1285 Julietta", "8048 Andrle", "3156 Ellington", "4896 Tomoegozen", "426 Hippo", "344 Desiderata", "6024 Ochanomizu", "2647 Sova", "2723 Gorshkov", "1731 Smuts", "5447 Lallement", "245 Vera", "4050 Mebailey", "296 Phaëtusa", "3120 Dangrania", "2315 Czechoslovakia", "1059 Mussorgskia", "8391 Kring", "5654 Terni", "3482 Lesnaya", "7270 Punkin", "279 Thule", "13808 Davewilliams", "12003 Hideosugai", "3581 Alvarez", "8962 Noctua", "3341 Hartmann", "7530 Mizusawa", "1649 Fabre", "772 Tanete", "3078 Horrocks", "(308933) 2006 SQ372", "3911 Otomo", "1987 Kaplan", "8387 Fujimori", "15969 Charlesgreen", "10653 Witsen", "4453 Bornholm", "13387 Irus", "1725 CrAO", "154 Bertha", "3426 Seki", "6214 Mikhailgrinev", "7106 Kondakov", "429 Lotis", "1252 Celestia", "40 Harmonia", "4175 Billbaum", "2205 Glinka", "3828 Hoshino", "19081 Mravinskij", "126 Velleda", "1428 Mombasa", "1761 Edmondson", "1403 Idelsonia", "1058 Grubba", "2224 Tucson", "123 Brunhild", "1687 Glarona", "3134 Kostinsky", "6346 Syukumeguri", "4696 Arpigny", "3585 Goshirakawa", "1527 Malmquista", "3055 Annapavlova", "5145 Pholus", "420 Bertholda", "2237 Melnikov", "1969 Alain", "3319 Kibi", "6354 Vangelis", "5885 Apeldoorn", "2292 Seili", "238 Hypatia", "4412 Chephren", "5130 Ilioneus", "10793 Quito", "4115 Peternorton", "2839 Annette", "3598 Saucier", "7205 Sadanori", "82 Alkmene", "2209 Tianjin", "872 Holda", "5433 Kairen", "1871 Astyanax", "4438 Sykes", "4485 Radonezhskij", "2594 Acamas", "5623 Iwamori", "926 Imhilde", "7314 Pevsner", "4952 Kibeshigemaro", "2336 Xinjiang", "5183 Robyn", "359 Georgia", "1409 Isko", "6410 Fujiwara", "124 Alkeste", "4226 Damiaan", "1828 Kashirina", "222 Lucia", "322 Phaeo", "3032 Evans", "3754 Kathleen", "473 Nolli", "1671 Chaika", "8204 Takabatake", "4124 Herriot", "1857 Parchomenko", "1539 Borrelly", "3803 Tuchkova", "4004 List'ev", "14274 Landstreet", "2526 Alisary", "1851 Lacroute", "3599 Basov", "282 Clorinde", "4462 Vaughan", "4708 Polydoros", "2550 Houssay", "(47171) 1999 TC36", "3148 Grechko", "(85627) 1998 HP151", "867 Kovacia", "5576 Albanese", "1260 Walhalla", "1611 Beyer", "5161 Wightman", "37519 Amphios", "8205 Van Dijck", "513 Centesima", "2308 Schilt", "30705 Idaios", "4075 Sviridov", "300 Geraldina", "467 Laura", "10293 Pribina", "1719 Jens", "2035 Stearns", "1194 Aletta", "1251 Hedera", "8889 Mockturtle", "26763 Peirithoos", "2003 QX113", "3712 Kraft", "3687 Dzus", "3118 Claytonsmith", "213 Lilaea", "1318 Nerina", "1398 Donnera", "3618 Kuprin", "14315 Ogawamachi", "30708 Echepolos", "8045 Kamiyama", "15913 Telemachus", "1758 Naantali", "5296 Friedrich", "6139 Naomi", "4955 Gold", "7066 Nessus", "6175 Cori", "2654 Ristenpart", "4685 Karetnikov", "3207 Spinrad", "81 Terpsichore", "290 Bruna", "4717 Kaneko", "2827 Vellamo", "278 Paulina", "99 Dike", "1585 Union", "6300 Hosamu", "294 Felicia", "3832 Shapiro", "2185 Guangdong", "3396 Muazzez", "2801 Huygens", "328 Gudrun", "3760 Poutanen", "250 Bettina", "4566 Chaokuangpiu", "733 Mocia", "2819 Ensor", "9430 Erichthonios", "5385 Kamenka", "269 Justitia", "2985 Shakespeare", "3445 Pinson", "5329 Decaro", "768 Struveana", "2412 Wil", "2834 Christy Carol", "2118 Flagstaff", "4107 Rufino", "8712 Suzuko", "7167 Laupheim", "342 Endymion", "6619 Kolya", "1807 Slovakia", "216 Kleopatra", "4293 Masumi", "1642 Hill", "10583 Kanetugu", "3845 Neyachenko", "4501 Eurypylos", "5638 Deikoon", "1957 Angara", "3637 O'Meara", "2251 Tikhov", "1254 Erfordia", "3195 Fedchenko", "1332 Marconia", "444 Gyptis", "2717 Tellervo", "2214 Carol", "3913 Chemin", "1707 Chantal", "9818 Eurymachos", "5505 Rundetårn", "1396 Outeniqua", "1732 Heike", "3689 Yeates", "4976 Choukyongchol", "1875 Neruda", "1084 Tamariwa", "3946 Shor", "1869 Philoctetes", "2696 Magion", "4834 Thoas", "6723 Chrisclark", "1998 Titius", "12649 Ascanios", "3045 Alois", "4045 Lowengrub", "5439 Couturier", "9609 Ponomarevalya", "14420 Massey", "352 Gisela", "5959 Shaklan", "421 Zähringia", "3508 Pasternak", "4119 Miles", "2001 QR322", "5104 Skripnichenko", "7857 Lagerros", "148 Gallia", "5242 Kenreimonin", "552 Sigelinde", "6924 Fukui", "4284 Kaho", "4337 Arecibo", "169 Zelia", "241 Germania", "2352 Kurchatov", "244 Sita", "183 Istria", "3139 Shantou", "4624 Stefani", "21555 Levary", "3736 Rokoske", "5800 Pollock", "10370 Hylonome", "5595 Roth", "7718 Desnoux", "1320 Impala", "5775 Inuyama", "4853 Marielukac", "200 Dynamene", "2006 Polonskaya", "6001 Thales", "5317 Verolacqua", "2022 West", "3904 Honda", "186 Celuta", "563 Suleika", "1351 Uzbekistania", "1490 Limpopo", "23 Thalia", "6916 Lewispearce", "6068 Brandenburg", "6820 Buil", "5492 Thoma", "809 Lundia", "1219 Britta", "2068 Dangreen", "3983 Sakiko", "31020 Skarupa", "1907 Rudneva", "6362 Tunis", "442 Eichsfeldia", "34 Circe", "7536 Fahrenheit", "4766 Malin", "12439 Okasaki", "5244 Amphilochos", "6353 Semper", "7994 Bethellen", "1697 Koskenniemi", "2088 Sahlia", "3210 Lupishko", "8294 Takayuki", "5780 Lafontaine", "3128 Obruchev", "15551 Paddock", "239 Adrastea", "5662 Wendycalvin", "11943 Davidhartley", "1641 Tana", "2489 Suvorov", "2104 Toronto", "1108 Demeter", "61 Danaë", "3242 Bakhchisaraj", "64 Angelina", "225 Henrietta", "4722 Agelaos", "17184 Carlrogers", "7 Iris", "3766 Junepatterson", "5182 Bray", "1589 Fanatica", "8284 Cranach", "5468 Hamatonbetsu", "340 Eduarda", "3811 Karma", "3116 Goodricke", "377 Campania", "7414 Bosch", "1956 Artek", "1607 Mavis", "(52747) 1998 HM151", "1229 Tilia", "2715 Mielikki", "3099 Hergenrother", "1030 Vitja", "293 Brasilia", "4078 Polakis", "6979 Shigefumi", "2521 Heidi", "10316 Williamturner", "2240 Tsai", "3564 Talthybius", "4499 Davidallen", "257 Silesia", "5140 Kida", "3796 Lene", "175 Andromache", "5170 Sissons", "337 Devosa", "6071 Sakitama", "111 Ate", "804 Hispania", "2929 Harris", "1984 Fedynskij", "15621 Erikhovland", "217 Eudora", "1445 Konkolya", "2140 Kemerovo", "1064 Aethusa", "18114 Rosenbush", "4461 Sayama", "(145452) 2005 RN43", "4379 Snelling", "6628 Dondelia", "1432 Ethiopia", "6784 Bogatikov", "2601 Bologna", "3415 Danby", "(91133) 1998 HK151", "1381 Danubia", "368 Haidea", "3357 Tolstikov", "49 Pales", "6606 Makino", "25302 Niim", "5698 Nolde", "3469 Bulgakov", "4845 Tsubetsu", "3787 Aivazovskij", "1625 The NORC", "1895 Larink", "5839 GOI", "2757 Crisser", "286 Iclea", "3162 Nostalgia", "3300 McGlasson", "6639 Marchis", "1904 Massevitch", "2852 Declercq", "2274 Ehrsson", "1395 Aribeda", "4598 Coradini", "2015 Kachuevskaya", "5035 Swift", "4702 Berounka", "5785 Fulton", "596 Scheila", "18278 Drymas", "610 Valeska", "18365 Shimomoto", "5012 Eurymedon", "1276 Ucclia", "12352 Jepejacobsen", "280 Philia", "2391 Tomita", "2416 Sharonov", "8564 Anomalocaris", "141 Lumen", "1104 Syringa", "3871 Reiz", "3906 Chao", "4471 Graculus", "485 Genua", "4880 Tovstonogov", "3115 Baily", "5837 Hedin", "10711 Pskov", "6031 Ryokan", "10262 Samoilov", "5225 Loral", "3907 Kilmartin", "266 Aline", "3631 Sigyn", "2090 Mizuho", "11004 Stenmark", "5014 Gorchakov", "2730 Barks", "3799 Novgorod", "10864 Yamagatashi", "11514 Tsunenaga", "265 Anna", "4153 Roburnham", "1360 Tarka", "3315 Chant", "3497 Innanen", "(145453) 2005 RR43", "1745 Ferguson", "79 Eurynome", "1071 Brita", "8551 Daitarabochi", "4558 Janesick", "3224 Irkutsk", "1571 Cesco", "1222 Tina", "159 Aemilia", "14789 GAISH", "4543 Phoinix", "13096 Tigris", "6424 Ando", "1311 Knopfia", "8 Flora", "142 Polana", "2636 Lassell", "1197 Rhodesia", "5122 Mucha", "3164 Prast", "5809 Kulibin", "4103 Chahine", "3515 Jindra", "2986 Mrinalini", "5406 Jonjoseph", "483 Seppina", "9661 Hohmann", "5637 Gyas", "2908 Shimoyama", "417 Suevia", "3177 Chillicothe", "78 Diana", "8498 Ufa", "2659 Millis", "4166 Pontryagin", "3829 Gunma", "1353 Maartje", "1654 Bojeva", "2181 Fogelin", "7469 Krikalev", "3202 Graff", "1858 Lobachevsk", "31824 Elatus", "15663 Periphas", "4771 Hayashi", "7061 Pieri", "6408 Saijo", "2361 Gogol", "7906 Melanchton", "1910 Mikhailov", "2439 Ulugbek", "1106 Cydonia", "1775 Zimmerwald", "41 Daphne", "10386 Romulus", "4163 Saaremaa", "4607 Seilandfarm", "1816 Liberia", "1253 Frisia", "2169 Taiwan", "2194 Arpola", "4402 Tsunemori", "501 Urhixidur", "3852 Glennford", "2506 Pirogov", "1117 Reginita", "5629 Kuwana", "258 Tyche", "9449 Petrbondy", "11020 Orwell", "1094 Siberia", "1119 Euboea", "2163 Korczak", "5483 Cherkashin", "5133 Phillipadams", "(119070) 2001 KP77", "5157 Hindemith", "2958 Arpetito", "6701 Warhol", "7192 Cieletespace", "5204 Herakleitos", "2524 Budovicium", "1680 Per Brahe", "4077 Asuka", "2302 Florya", "6077 Messner", "1342 Brabantia", "1317 Silvretta", "32720 Simoeisios", "5254 Ulysses", "2511 Patterson", "3724 Annenskij", "3761 Romanskaya", "2433 Sootiyo", "2003 LA7", "4349 Tibúrcio", "4091 Lowe", "8104 Kumamori", "8059 Deliyannis", "6770 Fugate", "1379 Lomonosowa", "14664 Vandervelden", "6998 Tithonus", "2796 Kron", "227 Philosophia", "6400 Georgealexander", "11107 Hakkoda", "3241 Yeshuhua", "5325 Silver", "4891 Blaga", "1384 Kniertje", "1639 Bower", "1213 Algeria", "5293 Bentengahama", "3821 Sonet", "Linus", "5198 Fongyunwah", "7193 Yamaoka", "1659 Punkaharju", "12657 Bonch-Bruevich", "(60608) 2000 EE173", "1772 Gagarin", "111P/Helin–Roman–Crockett", "6156 Dall", "857 Glasenappia", "208 Lacrimosa", "3007 Reaves", "2244 Tesla", "2911 Miahelena", "2490 Bussolini", "852 Wladilena", "55678 Lampos", "2248 Kanda", "4313 Bouchet", "362 Havnia", "830 Petropolitana", "2310 Olshaniya", "3874 Stuart", "1456 Saldanha", "5520 Natori", "3154 Grant", "3925 Tret'yakov", "1413 Roucarie", "147 Protogeneia", "3843 OISCA", "11509 Thersilochos", "2498 Tsesevich", "2117 Danmark", "1491 Balduinus", "537 Pauly", "446 Aeternitas", "2699 Kalinin", "7611 Hashitatsu", "16466 Piyashiriyama", "2331 Parvulesco", "1954 Kukarkin", "6463 Isoda", "32532 Thereus", "43 Ariadne", "8397 Chiakitanaka", "307 Nike", "5470 Kurtlindstrom", "275 Sapientia", "1576 Fabiola", "2325 Chernykh", "4622 Solovjova", "5401 Minamioda", "4676 Uedaseiji", "1902 Shaposhnikov", "4530 Smoluchowski", "1522 Kokkola", "12766 Paschen", "5232 Jordaens", "5704 Schumacher", "7113 Ostapbender", "75 Eurydike", "3406 Omsk", "3995 Sakaino", "8538 Gammelmaja", "3686 Antoku", "7770 Siljan", "3363 Bowen", "23355 Elephenor", "740 Cantabia", "8400 Tomizo", "5539 Limporyen", "1347 Patria", "13463 Antiphos", "1217 Maximiliana", "3923 Radzievskij", "4052 Crovisier", "1562 Gondolatsch", "3453 Dostoevsky", "588 Achilles", "5771 Somerville", "7797 Morita", "1405 Sibelius", "9193 Geoffreycopland", "4357 Korinthos", "3011 Chongqing", "4730 Xingmingzhou", "3262 Miune", "3785 Kitami", "3505 Byrd", "433 Eros", "2979 Murmansk", "146 Lucina", "1109 Tata", "2107 Ilmari", "2566 Kirghizia", "1913 Sekanina", "2254 Requiem", "5213 Takahashi", "1325 Inanda", "3380 Awaji", "5436 Eumelos", "3334 Somov", "2146 Stentor", "133 Cyrene", "134 Sophrosyne", "(82075) 2000 YW134", "1508 Kemi", "2346 Lilio", "6155 Yokosugano", "2176 Donar", "1681 Steinmetz", "7616 Sadako", "2551 Decabrina", "2895 Memnon", "4874 Burke", "10217 Richardcook", "2338 Bokhan", "2328 Robeson", "Remus", "4366 Venikagan", "1309 Hyperborea", "28 Bellona", "5670 Rosstaylor", "3522 Becker", "1326 Losaka", "1095 Tulipa", "6364 Casarini", "10811 Lau", "2667 Oikawa", "53311 Deucalion", "7359 Messier", "11017 Billputnam", "2474 Ruby", "3305 Ceadams", "4748 Tokiwagozen", "2920 Automedon", "1177 Gonnessia", "12753 Povenmire", "4455 Ruriko", "3632 Grachevka", "14791 Atreus", "2530 Shipka", "4770 Lane", "3431 Nakano", "316 Goberta", "357 Ninina", "194 Prokne", "3476 Dongguan", "1631 Kopff", "3037 Alku", "1570 Brunonia", "21128 Chapuis", "2856 Röser", "223 Rosa", "1227 Geranium", "388 Charybdis", "2848 ASP", "3567 Alvema", "1363 Herberta", "305 Gordonia", "45 Eugenia", "4353 Onizaki", "3558 Shishkin", "6560 Pravdo", "3094 Chukokkala", "616 Elly", "2304 Slavia", "3835 Korolenko", "1283 Komsomolia", "4211 Rosniblett", "617 Patroclus", "317 Roxane", "15 Eunomia", "14316 Higashichichibu", "5858 Borovitskia", "254 Augusta", "11 Parthenope", "9562 Memling", "4597 Consolmagno", "1082 Pirola", "229 Adelinda", "1735 ITA", "6439 Tirol", "4804 Pasteur", "264 Libussa", "1244 Deira", "6356 Tairov", "5036 Tuttle", "1926 Demiddelaer", "1854 Skvortsov", "2404 Antarctica", "331 Etheridgea", "3197 Weissman", "5023 Agapenor", "5372 Bikki", "3970 Herran", "206 Hersilia", "1225 Ariane", "7650 Kaname", "4344 Buxtehude", "5028 Halaesus", "863 Benkoela", "4914 Pardina", "5778 Jurafrance", "3844 Lujiaxi", "1501 Baade", "7756 Scientia", "2569 Madeline", "3088 Jinxiuzhonghua", "1523 Pieksämäki", "22503 Thalpius", "74 Galatea", "4826 Wilhelms", "4679 Sybil", "2250 Stalingrad", "7602 Yidaeam", "463 Lola", "2220 Hicks", "2203 van Rhijn", "6953 Davepierce", "1504 Lappeenranta", "6124 Mecklenburg", "13184 Augeias", "2760 Kacha", "1802 Zhang Heng", "12742 Delisle", "10555 Tagaharue", "3167 Babcock", "5966 Tomeko", "397 Vienna", "1655 Comas Solà", "6574 Gvishiani", "2502 Nummela", "3062 Wren", "6210 Hyunseop", "1635 Bohrmann", "2111 Tselina", "13859 Fredtreasure", "1891 Gondola", "16035 Sasandford", "3254 Bus", "1808 Bellerophon", "22199 Klonios", "2515 Gansu", "3399 Kobzon", "2918 Salazar", "2541 Edebono", "21586 Pourkaviani", "2183 Neufang", "1866 Sisyphus", "110 Lydia", "8578 Shojikato", "27736 Ekaterinburg", "1376 Michelle", "2396 Kochi", "Romulus", "3151 Talbot", "3609 Liloketai", "249 Ilse", "46 Hestia", "6557 Yokonomura", "117 Lomia", "3641 Williams Bay", "3601 Velikhov", "4642 Murchie", "2724 Orlov", "2309 Mr. Spock", "3290 Azabu", "3071 Nesterov", "1886 Lowell", "335 Roberta", "2106 Hugo", "2458 Veniakaverin", "6778 Tosamakoto", "13815 Furuya", "13181 Peneleos", "1795 Woltjer", "3790 Raywilson", "8175 Boerhaave", "1343 Nicole", "1442 Corvina", "12291 Gohnaumann", "2046 Leningrad", "8295 Toshifukushima", "5149 Leibniz", "5196 Bustelli", "1840 Hus", "1215 Boyer", "7308 Hattori", "7342 Uchinoura", "1783 Albitskij", "2948 Amosov", "73 Klytia", "139 Juewa", "2159 Kukkamäki", "2307 Garuda", "6783 Gulyaev", "12052 Aretaon", "32569 Deming", "8150 Kaluga", "119 Althaea", "4745 Nancymarie", "9155 Verkhodanov", "8041 Masumoto", "5288 Nankichi", "32726 Chromios", "1711 Sandrine", "5316 Filatov", "(15875) 1996 TP66", "3252 Johnny", "2847 Parvati", "2295 Matusovskij", "5838 Hamsun", "3243 Skytel", "1121 Natascha", "3280 Grétry", "3296 Bosque Alegre", "1598 Paloque", "4061 Martelli", "8234 Nobeoka", "6326 Idamiyoshi", "4074 Sharkov", "3021 Lucubratio", "3509 Sanshui", "5526 Kenzo", "4645 Tentaikojo", "5101 Akhmerov", "9297 Marchuk", "7142 Spinoza", "3214 Makarenko", "4131 Stasik", "4893 Seitter", "353 Ruperto-Carola", "5936 Khadzhinov", "4162 SAF", "2134 Dennispalm", "16528 Terakado", "3020 Naudts", "2957 Tatsuo", "165 Loreley", "2306 Bauschinger", "155 Scylla", "1618 Dawn", "5413 Smyslov", "4808 Ballaero", "2002 Euler", "3540 Protesilaos", "2225 Serkowski", "5042 Colpa", "2413 van de Hulst", "42 Isis", "3028 Zhangguoxi", "2180 Marjaleena", "201 Penelope", "5832 Martaprincipe", "3432 Kobuchizawa", "10265 Gunnarsson", "6880 Hayamiyu", "178 Belisana", "1629 Pecker", "2776 Baikal", "3901 Nanjingdaxue", "(131696) 2001 XT254", "2430 Bruce Helin", "1368 Numidia", "3194 Dorsey", "9845 Okamuraosamu", "1660 Wood", "69 Hesperia", "6644 Jugaku", "5013 Suzhousanzhong", "3065 Sarahill", "4365 Ivanova", "4105 Tsia", "893 Leopoldina", "9694 Lycomedes", "5032 Conradhirsh", "3324 Avsyuk", "4447 Kirov", "1797 Schaumasse", "137 Meliboea", "3960 Chaliubieju", "5794 Irmina", "9180 Samsagan", "1667 Pels", "8835 Annona", "1832 Mrkos", "4191 Assesse", "12896 Geoffroy", "199 Byblis", "18263 Anchialos", "1078 Mentha", "3041 Webb", "1605 Milankovitch", "2394 Nadeev", "6665 Kagawa", "1506 Xosa", "380 Fiducia", "1647 Menelaus", "10306 Pagnol", "2562 Chaliapin", "270 Anahita", "11552 Boucolion", "5411 Liia", "4522 Britastra", "1877 Marsden", "22 Kalliope", "338 Budrosa", "6373 Stern", "5299 Bittesini", "2646 Abetti", "5955 Khromchenko", "2469 Tadjikistan", "6255 Kuma", "65590 Archeptolemos", "4316 Babinkova", "2471 Ultrajectum", "84 Klio", "1806 Derice", "5117 Mokotoyama", "6590 Barolo", "1669 Dagmar", "21 Lutetia", "1312 Vassar", "272 Antonia", "10043 Janegann", "1678 Hveen", "2054 Gawain", "6971 Omogokei", "2523 Ryba", "1521 Seinäjoki", "5461 Autumn", "4086 Podalirius", "665 Sabine", "4079 Britten", "4110 Keats", "3277 Aaronson", "11739 Baton Rouge", "1386 Storeria", "2884 Reddish", "7119 Hiera", "3418 Izvekov", "4421 Kayor", "4827 Dares", "3965 Konopleva", "3186 Manuilova", "459 Signe", "2142 Landau", "5484 Inoda", "89 Julia", "7543 Prylis", "1080 Orchis", "4424 Arkhipova", "1968 Mehltretter", "1738 Oosterhoff", "171 Ophelia", "2355 Nei Monggol", "2463 Sterpin", "65489 Ceto", "4407 Taihaku", "1234 Elyna", "(230965) 2004 XA192", "2010 Chebyshev", "6996 Alvensleben", "8502 Bauhaus", "7496 Miroslavholub", "407 Arachne", "3303 Merta", "4681 Ermak", "11554 Asios", "1231 Auricula", "3089 Oujianquan", "1261 Legia", "4350 Shibecha", "542 Susanna", "3967 Shekhtelia", "5824 Inagaki", "2020 Ukko", "12235 Imranakperov", "1894 Haffner", "2003 UZ413", "4930 Rephiltim", "6169 Sashakrot", "4907 Zoser", "1212 Francette", "2290 Helffrich", "6553 Seehaus", "7290 Johnrather", "5632 Ingelehmann", "468 Lina", "1191 Alfaterna", "4863 Yasutani", "5833 Peterson", "5815 Shinsengumi", "1075 Helina", "6402 Holstein", "3161 Beadell", "6390 Hirabayashi", "12242 Koon", "2533 Fechtig", "1406 Komppa", "6025 Naotosato", "1081 Reseda", "4665 Muinonen", "10664 Phemios", "3158 Anga", "1214 Richilde", "3873 Roddy", "3947 Swedenborg", "13482 Igorfedorov", "1560 Strattonia", "2041 Lancelot", "4725 Milone", "(24978) 1998 HJ151", "378 Holmia", "1327 Namaqua", "106 Dione", "(42301) 2001 UR163", "1786 Raahe", "23382 Epistrophos", "3184 Raab", "3638 Davis", "71 Niobe", "13488 Savanov", "3909 Gladys", "6710 Apostel", "1400 Tirela", "4266 Waltari", "2681 Ostrovskij", "256 Walpurga", "16915 Bredthauer", "4352 Kyoto", "2452 Lyot", "7636 Comba", "3365 Recogne", "1716 Peter", "1389 Onnie", "5923 Liedeke", "6398 Timhunter", "12972 Eumaios", "3335 Quanzhou", "196 Philomela", "5197 Rottmann", "5399 Awa", "3924 Birch", "423 Diotima", "3642 Frieden", "4054 Turnov", "5081 Sanguin", "3561 Devine", "2666 Gramme", "5759 Zoshchenko", "7481 San Marcello", "6989 Hoshinosato", "2236 Austrasia", "6524 Baalke", "177 Irma", "2358 Bahner", "14424 Laval", "1989 Tatry", "3129 Bonestell", "6890 Savinykh", "2320 Blarney", "6830 Johnbackus", "54598 Bienor", "3485 Barucci", "5457 Queen's", "8660 Sano", "1373 Cincinnati", "2695 Christabel", "2262 Mitidika", "5502 Brashear", "4158 Santini", "5281 Lindstrom", "2725 David Bender", "3090 Tjossem", "1190 Pelagia", "6260 Kelsey", "1277 Dolores", "1287 Lorcia", "12444 Prothoon", "4271 Novosibirsk", "6129 Demokritos", "4547 Massachusetts", "1888 Zu Chong-Zhi", "2822 Sacajawea", "1209 Pumma", "21652 Vasishtha", "1519 Kajaani", "7750 McEwen", "1232 Cortusa", "1186 Turnera", "1101 Clematis", "(303775) 2005 QU182", "2401 Aehlita", "3383 Koyama", "391 Ingeborg", "8501 Wachholz", "2319 Aristides", "2615 Saito", "6697 Celentano", "858 El Djezaïr", "65 Cybele", "8086 Peterthomas", "6057 Robbia", "2755 Avicenna", "4317 Garibaldi", "373 Melusina", "1211 Bressole", "5957 Irina", "6775 Giorgini", "8804 Eliason", "6832 Kawabata", "2332 Kalm", "3035 Chambers", "4418 Fredfranklin", "8550 Hesiodos", "1557 Roehla", "2027 Shen Guo", "2032 Ethel", "172 Baucis", "1102 Pepita", "5090 Wyeth", "3780 Maury", "2038 Bistro", "5972 Harryatkinson", "1246 Chaka", "2270 Yazhi", "7468 Anfimov", "5088 Tancredi", "3196 Maklaj", "1880 McCrosky", "8156 Tsukada", "2152 Hannibal", "5330 Senrikyu", "3542 Tanjiazhen", "2008 Konstitutsiya", "1937 Locarno", "2555 Thomas", "47 Aglaja", "3518 Florena", "304 Olga", "5187 Domon", "1390 Abastumani", "1715 Salli", "5416 Estremadoyro", "5651 Traversa", "2494 Inge", "2005 Hencke", "4260 Yanai", "3439 Lebofsky", "4393 Dawe", "6366 Rainerwieler", "(174567) 2003 MW12", "30698 Hippokoon", "1881 Shao", "5445 Williwaw", "23318 Salvadorsanchez", "324 Bamberga", "6869 Funada", "6670 Wallach", "5208 Royer", "190 Ismene", "6166 Univsima", "5419 Benua", "120347 Salacia", "4167 Riemann", "1330 Spiridonia", "3468 Urgenta", "3620 Platonov", "1255 Schilowa", "4138 Kalchas", "17 Thetis", "3093 Bergholz", "5283 Pyrrhus", "8813 Leviathan", "4580 Child", "1782 Schneller", "8496 Jandlsmith", "2056 Nancy", "2963 Chen Jiageng", "2630 Hermod", "2650 Elinor", "7214 Anticlus", "2499 Brunk", "(120132) 2003 FY128", "1548 Palomaa", "2354 Lavrov", "5591 Koyo", "441 Bathilde", "1993 RP", "8225 Emerson", "12104 Chesley", "1233 Kobresia", "4410 Kamuimintara", "453 Tea", "2903 Zhuhai", "6910 Ikeguchi", "(119068) 2001 KC77", "4837 Bickerton", "1333 Cevenola", "381 Myrrha", "329 Svea", "7443 Tsumura", "1826 Miller", "998 Bodea", "3141 Buchar", "1188 Gothlandia", "4431 Holeungholee", "1288 Santa", "3876 Quaide", "6036 Weinberg", "10148 Shirase", "1993 Guacolda", "6422 Akagi", "7210 Darius", "3044 Saltykov", "4848 Tutenchamun", "6464 Kaburaki", "2269 Efremiana", "3812 Lidaksum", "3506 French", "220 Stephania", "4073 Ruianzhongxue", "6786 Doudantsutsuji", "1612 Hirose", "3560 Chenqian", "39 Laetitia", "356 Liguria", "3230 Vampilov", "4222 Nancita", "413 Edburga", "4174 Pikulia", "405 Thia", "4870 Shcherban'", "6340 Kathmandu", "4658 Gavrilov", "3024 Hainan", "2898 Neuvo", "4741 Leskov", "1199 Geldonia", "2653 Principia", "3747 Belinskij", "5947 Bonnie", "(248835) 2006 SX368", "6355 Univermoscow", "4399 Ashizuri", "1346 Gotha", "5825 Rakuyou", "7923 Chyba", "7778 Markrobinson", "9306 Pittosporum", "4902 Thessandrus", "418 Alemannia", "2051 Chang", "4263 Abashiri", "192 Nausikaa", "2904 Millman", "1584 Fuji", "5289 Niemela", "243 Ida", "3510 Veeder", "5084 Gnedin", "3955 Bruckner", "11528 Mie", "3894 Williamcooke", "102 Miriam", "2425 Shenzhen", "1833 Shmakova", "437 Rhodia", "3801 Thrasymedes", "4013 Ogiria", "325 Heidelberga", "2381 Landi", "1726 Hoffmeister", "3615 Safronov", "10478 Alsabti", "1357 Khama", "1170 Siva", "1069 Planckia", "14669 Beletic", "4716 Urey", "4873 Fukaya", "3939 Huruhata", "2207 Antenor", "4007 Euryalos", "973 Aralia", "7217 Dacke", "1665 Gaby", "262 Valda", "2600 Lumme", "12973 Melanthios", "1280 Baillauda", "410 Chloris", "8184 Luderic", "260 Huberta", "1574 Meyer", "1499 Pori", "4466 Abai", "19034 Santorini", "(145451) 2005 RM43", "1495 Helsinki", "5976 Kalatajean", "5303 Parijskij", "15631 Dellorusso", "3804 Drunina", "1537 Transylvania", "8000 Isaac Newton", "4058 Cecilgreen", "14702 Benclark", "3606 Pohjola", "2445 Blazhko", "1892 Lucienne", "4768 Hartley", "2249 Yamamoto", "2172 Plavsk", "1087 Arabis", "396 Aeolia", "6866 Kukai", "3328 Interposita", "2697 Albina", "2115 Irakli", "7596 Yumi", "7581 Yudovich", "4292 Aoba", "4980 Magomaev", "153 Hilda", "(202421) 2005 UQ513", "42403 Andraimon", "1099 Figneria", "366 Vincentina", "5301 Novobranets", "4844 Matsuyama", "1193 Africa", "17351 Pheidippos", "2003 Harding", "5772 Johnlambert", "448 Natalie", "2158 Tietjen", "3049 Kuzbass", "3420 Standish", "2466 Golson", "3957 Sugie", "472 Roma", "452 Hamiltonia", "9817 Thersander", "2288 Karolinum", "2964 Jaschek", "4903 Ichikawa", "3405 Daiwensai", "8431 Haseda", "2477 Biryukov", "3896 Pordenone", "474 Prudentia", "3779 Kieffer", "1694 Kaiser", "350 Ornamenta", "3608 Kataev", "1452 Hunnia", "2271 Kiso", "5151 Weerstra", "3625 Fracastoro", "2138 Swissair", "3914 Kotogahama", "312 Pierretta", "393 Lampetia", "5114 Yezo", "3012 Minsk", "4235 Tatishchev", "4332 Milton", "(20161) 1996 TR66", "27396 Shuji", "3713 Pieters", "3750 Ilizarov", "4616 Batalov", "284 Amalia", "2219 Mannucci", "5567 Durisen", "2448 Sholokhov", "944 Hidalgo", "5628 Preussen", "1594 Danjon", "33 Polyhymnia", "2468 Repin", "4343 Tetsuya", "318 Magdalena", "32222 Charlesvest", "2959 Scholl", "4568 Menkaure", "1239 Queteleta", "1830 Pogson", "321 Florentina", "2627 Churyumov", "1819 Laputa", "2177 Oliver", "6306 Nishimura", "2761 Eddington", "5024 Bechmann", "2155 Wodan", "(9970) 1992 ST1", "85 Io", "1002 Olbersia", "136 Austria", "4156 Okadanaboru", "88 Thisbe", "2901 Bagehot", "173 Ino", "187 Lamberta", "4210 Isobelthompson", "18871 Grauer", "1107 Lictoria", "2574 Ladoga", "1097 Vicia", "1096 Reunerta", "3222 Liller", "6583 Destinn", "4718 Araki", "2344 Xizang", "5176 Yoichi", "704 Interamnia", "3660 Lazarev", "3502 Huangpu", "3240 Laocoon", "3274 Maillen", "3794 Sthenelos", "5644 Maureenbell", "1487 Boda", "334 Chicago", "5374 Hokutosei", "1734 Zhongolovich", "2655 Guangxi", "3191 Svanetia", "8057 Hofmannsthal", "6475 Refugium", "4420 Alandreev", "2157 Ashbrook", "2810 Lev Tolstoj", "2945 Zanstra", "11785 Migaic", "4916 Brumberg", "7905 Juzoitami", "5944 Utesov", "4250 Perun", "3125 Hay", "41488 Sindbad", "6604 Ilias", "247 Eukrate", "20952 Tydeus", "1986 Plaut", "2408 Astapovich", "1599 Giomus", "1114 Lorraine", "11147 Delmas", "538 Friederike", "4529 Webern", "4327 Ries", "6794 Masuisakura", "60 Echo", "2832 Lada", "1256 Normannia", "6392 Takashimizuno", "162 Laurentia", "2674 Pandarus", "2301 Whitford", "140 Siwa", "3617 Eicher", "6729 Emiko", "1613 Smiley", "3580 Avery", "4345 Rachmaninoff", "4122 Ferrari", "1690 Mayrhofer", "2722 Abalakin", "2179 Platzeck", "29 Amphitrite", "1841 Masaryk", "5624 Shirley", "2145 Blaauw", "51 Nemausa", "2305 King", "2263 Shaanxi", "3082 Dzhalil", "24603 Mekistheus", "13093 Wolfgangpauli", "5274 Degewij", "2365 Interkosmos", "1183 Jutta", "5118 Elnapoul", "13365 Tenzinyama", "2040 Chalonge", "1817 Katanga", "2066 Palala", "2688 Halley", "202 Chryseïs", "13146 Yuriko", "333 Badenia", "4093 Bennett", "4000 Hipparchus", "901 Brunsia", "6153 Hershey", "1624 Rabe", "330 Adalberta", "8983 Rayakazakova", "4014 Heizman", "2679 Kittisvaara", "1062 Ljuba", "6075 Zajtsev", "3514 Hooke", "5021 Krylania", "440 Theodora", "853 Nansenia", "376 Geometria", "(86047) 1999 OY3", "50 Virginia", "3898 Curlewis", "2931 Mayakovsky", "2016 Heinemann", "6383 Tokushima", "471 Papagena", "13915 Yalow", "1200 Imperatrix", "4057 Demophon", "4244 Zakharchenko", "1089 Tama", "14994 Uppenkamp", "7110 Johnpearse", "450 Brigitta", "4958 Wellnitz", "1322 Coppernicus", "48300 Kronk", "894 Erda", "228 Agathe", "3440 Stampfer", "424 Gratia", "2982 Muriel", "4419 Allancook", "1302 Werra", "4865 Sor", "2109 Dhotel", "6052 Junichi", "131 Vala", "101 Helena", "4409 Kissling", "1284 Latvia", "3597 Kakkuri", "10025 Rauer", "4575 Broman", "268 Adorea", "4805 Asteropaios", "2728 Yatskiv", "7392 Kowalski", "15939 Fessenden", "2455 Somville", "4969 Lawrence", "1392 Pierre", "2326 Tololo", "9549 Akplatonov", "2742 Gibson", "3985 Raybatson", "16449 Kigoyama", "4209 Briggs", "4967 Glia", "2089 Cetacea", "1438 Wendeline", "16 Psyche", "2019 van Albada", "3330 Gantrisch", "3246 Bidstrup", "18745 San Pedro", "6980 Kyusakamoto", "1936 Lugano", "7253 Nara", "5711 Eneev", "2678 Aavasaksa", "6403 Steverin", "2349 Kurchenko", "267 Tirza", "3791 Marci", "336 Lacadiera", "5256 Farquhar", "7476 Ogilsbie", "3556 Lixiaohua", "55702 Thymoitos", "2835 Ryoma", "90 Antiope", "1026 Ingrid", "13436 Enid", "(126154) 2001 YH140", "1378 Leonce", "4540 Oriani", "2045 Peking", "6375 Fredharris", "7300 Yoshisada", "8537 Billochbull", "1187 Afra", "400 Ducrosa", "1948 Kampala", "4059 Balder", "6079 Gerokurat", "26355 Grueber", "2578 Saint-Exupéry", "631 Philippina", "248 Lameia", "401 Ottilia", "2864 Soderblom", "4325 Guest", "263 Dresda", "4973 Showa", "91 Aegina", "2525 O'Steen", "5805 Glasgow", "66652 Borasisi", "2297 Daghestan", "8500 Hori", "3705 Hotellasilla", "5555 Wimberly", "1477 Bonsdorffia", "383 Janina", "3584 Aisha", "4088 Baggesen", "6136 Gryphon", "12561 Howard", "1074 Beljawskya", "285 Regina", "6026 Xenophanes", "3499 Hoppe", "1838 Ursa", "7269 Alprokhorov", "1572 Posnania", "2816 Pien", "5067 Occidental", "4159 Freeman", "3577 Putilin", "1940 Whipple", "2296 Kugultinov", "1628 Strobel", "150 Nuwa", "1176 Lucidor", "1248 Jugurtha", "5687 Yamamotoshinobu", "2534 Houzeau", "8934 Nishimurajun", "6879 Hyogo", "72 Feronia", "5692 Shirao", "1549 Mikko", "2193 Jackson", "1672 Gezelle", "4193 Salanave", "4234 Evtushenko", "14446 Kinkowan", "2053 Nuki", "1397 Umtata", "8906 Yano", "4613 Mamoru", "(144897) 2004 UX10", "3008 Nojiri", "1340 Yvette", "846 Lipperta", "4683 Veratar", "2632 Guizhou", "1493 Sigrid", "3683 Baumann", "1067 Lunaria", "1319 Disa", "4754 Panthoos", "1898 Cowell", "2863 Ben Mayer", "4649 Sumoto", "3285 Ruth Wolfe", "1930 Lucifer", "320 Katharina", "4306 Dunaevskij", "5422 Hodgkin", "10234 Sixtygarden", "470 Kilia", "2475 Semenov", "8329 Speckman", "1293 Sonja", "12442 Beltramemass", "6535 Archipenko", "3273 Drukar", "2851 Harbin", "1393 Sofala", "3726 Johnadams", "1361 Leuschneria", "176 Iduna", "1839 Ragazza", "289 Nenetta", "10637 Heimlich", "13123 Tyson", "2293 Guernica", "6247 Amanogawa", "2702 Batrakov", "56 Melete", "1963 Bezovec", "17859 Galinaryabova", "1586 Thiele", "2528 Mohler", "4036 Whitehouse", "3106 Morabito", "2353 Alva", "5154 Leonov", "1614 Goldschmidt", "625 Xenia", "2460 Mitlincoln", "4609 Pizarro", "3140 Stellafane", "1196 Sheba", "1749 Telamon", "2324 Janice", "1878 Hughes", "1240 Centenaria", "(90568) 2004 GV9", "2121 Sevastopol", "2875 Lagerkvist", "8405 Asbolus", "16358 Plesetsk", "4448 Phildavis", "109 Felicitas", "4707 Khryses", "4975 Dohmoto", "4215 Kamo", "5361 Goncharov", "48373 Gorgythion", "5831 Dizzy", "2595 Gudiachvili", "1870 Glaukos", "5922 Shouichi", "2188 Orlenok", "1650 Heckmann", "3367 Alex", "4963 Kanroku", "2833 Radishchev", "252 Clementina", "1973 Colocolo", "5971 Tickell", "184 Dejopeja", "1090 Sumida", "2892 Filipenko", "1479 Inkeri", "7735 Scorzelli", "1638 Ruanda", "2781 Kleczek", "295 Theresia", "7353 Kazuya", "4100 Sumiko", "4417 Lecar", "4714 Toyohiro", "4892 Chrispollas", "361 Bononia", "5006 Teller", "5572 Bliskunov", "80 Sappho", "6678 Seurat", "10388 Zhuguangya", "207 Hedda", "7499 L'Aquila", "5136 Baggaley", "4135 Svetlanov", "1066 Lobelia", "1835 Gajdariya", "54 Alexandra", "3155 Lee", "224 Oceana", "1961 Dufour", "1609 Brenda", "(184212) 2004 PB112", "4446 Carolyn", "5942 Denzilrobert", "2988 Korhonen", "1776 Kuiper", "1098 Hakone", "1800 Aguilar", "2421 Nininger", "3460 Ashkova", "4381 Uenohara", "13739 Nancyworden", "15417 Babylon", "21602 Ialmenus", "3596 Meriones", "436 Patricia", "5091 Isakovskij", "298 Baptistina", "(15760) 1992 QB1", "4405 Otava", "6309 Elsschot", "3174 Alcock", "36 Atalante", "122 Gerda", "10886 Mitsuroohba", "3479 Malaparte", "2976 Lautaro", "4430 Govorukhin", "1587 Kahrstedt", "17855 Geffert", "3317 Paris", "203 Pompeja", "5875 Kuga", "1315 Bronislawa", "3348 Pokryshkin", "1630 Milet", "4389 Durbin", "97 Klotho", "5337 Aoki", "129 Antigone", "3054 Strugatskia", "1364 Safara", "297 Caecilia", "3823 Yorii", "11787 Baumanka", "24701 Elyu-Ene", "11314 Charcot", "2009 Voloshina", "1588 Descamisada", "1111 Reinmuthia", "6613 Williamcarl", "5255 Johnsophie", "1645 Waterfield", "4584 Akan", "9021 Fagus", "1999 Hirayama", "593 Titania", "443 Photographica", "4828 Misenus", "5458 Aizman", "3767 DiMaggio", "6302 Tengukogen", "240 Vanadis", "2005 CB79", "1912 Anubis", "193 Ambrosia", "3899 Wichterle", "1606 Jekhovsky", "4592 Alkissia", "5070 Arai", "100 Hekate", "1679 Nevanlinna", "3391 Sinon", "7446 Hadrianus", "6722 Bunichi", "2443 Tomeileen", "4346 Whitney", "5304 Bazhenov", "1420 Radcliffe", "4687 Brunsandrej", "375 Ursula", "29869 Chiarabarbara", "5074 Goetzoertel", "5547 Acadiau", "6359 Dubinin", "1748 Mauderli", "6983 Komatsusakyo", "5068 Cragg", "2428 Kamenyar", "302 Clarissa", "387 Aquitania", "1700 Zvezdara", "1382 Gerti", "210 Isabella", "5314 Wilkickia", "1189 Terentia", "7736 Nizhnij Novgorod", "2057 Rosemary", "8380 Tooting", "2711 Aleksandrov", "15258 Alfilipenko", "104 Klymene", "3516 Rusheva", "5284 Orsilocus", "428 Monachia", "3223 Forsius", "10142 Sakka", "1068 Nofretete", "10654 Bontekoe", "6173 Jimwestphal", "19848 Yeungchuchiu", "1429 Pemba", "1070 Tunica", "3447 Burckhalter", "2453 Wabash", "127 Johanna", "5840 Raybrown", "2657 Bashkiria", "5126 Achaemenides", "2570 Porphyro", "1673 van Houten", "6191 Eades", "5661 Hildebrand", "4101 Ruikou", "5071 Schoenmaker", "2622 Bolzano", "5565 Ukyounodaibu", "(26375) 1999 DE9", "3809 Amici", "55576 Amycus", "720 Bohlinia", "27922 Mascheroni", "2311 El Leoncito", "14338 Shibakoukan", "2808 Belgrano", "1592 Mathieu", "2492 Kutuzov", "116 Sirona", "37 Fides", "2004 Lexell", "5677 Aberdonia", "6459 Hidesan", "2587 Gardner", "3034 Climenhaga", "589 Croatia", "4164 Shilov", "3143 Genecampbell", "2007 McCuskey", "(136120) 2003 LG7", "7528 Huskvarna", "2618 Coonabarabran", "10353 Momotaro", "3666 Holman", "6113 Tsap", "4997 Ksana", "191 Kolga", "9859 Van Lierde", "5798 Burnett", "13039 Awashima", "209 Dido", "3347 Konstantin", "11251 Icarion", "2617 Jiangxi", "10222 Klotz", "7320 Potter", "2522 Triglav", "4832 Palinurus", "1489 Attila", "3150 Tosa", "3095 Omarkhayyam", "4207 Chernova", "488 Kreusa", "1540 Kevola", "1173 Anchises", "2634 James Bradley", "434 Hungaria", "3358 Anikushin", "3816 Chugainov", "1882 Rauma", "58 Concordia", "253 Mathilde", "1737 Severny", "1663 van den Bos", "31 Euphrosyne", "2167 Erin", "3588 Kirik", "2294 Andronikov", "2913 Horta", "2103 Laverna", "8573 Ivanka", "1946 Walraven", "310 Margarita", "2983 Poltava", "2769 Mendeleev", "3647 Dermott", "3774 Megumi", "2861 Lambrecht", "58096 Oineus", "339 Dorothea", "4516 Pugovkin", "15092 Beegees", "326 Tamara", "9712 Nauplius", "5059 Saroma", "2153 Akiyama", "(26181) 1996 GQ21", "1423 Jose", "394 Arduina", "3016 Meuse", "3621 Curtis", "1561 Fricke", "6337 Shiota", "1512 Oulu", "5295 Masayo", "1329 Eliane", "Makemake", "4657 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Robertfranz", "3730 Hurban", "1122 Neith", "4831 Baldwin", "1804 Chebotarev", "2208 Pushkin", "4308 Magarach", "11911 Angel", "8443 Svecica", "3966 Cherednichenko", "1202 Marina", "1929 Kollaa", "2014 Vasilevskis", "2519 Annagerman", "1805 Dirikis", "5043 Zadornov", "7143 Haramura", "3543 Ningbo", "13 Egeria", "6174 Polybius", "4931 Tomsk", "2505 Hebei", "235 Carolina", "11668 Balios", "2501 Lohja", "1774 Kulikov", "2375 Radek", "93 Minerva", "7046 Reshetnev", "6683 Karachentsov", "83 Beatrix", "365 Corduba", "1796 Riga", "138 Tolosa", "6006 Anaximandros", "389 Industria", "2621 Goto", "21062 Iasky", "6000 United Nations", "2928 Epstein", "55 Pandora", "7067 Kiyose", "2417 McVittie", "6938 Soniaterk", "2836 Sobolev", "1941 Wild", "2379 Heiskanen", "19721 Wray", "3526 Jeffbell", "10257 Garecynthia", "4940 Polenov", "15147 Siegfried", "5134 Ebilson", "2692 Chkalov", "2969 Mikula", "14989 Tutte", "1401 Lavonne", "8866 Tanegashima", "4127 Kyogoku", "5231 Verne", "3883 Verbano", "1699 Honkasalo", "4998 Kabashima", "8130 Seeberg", "62 Erato", "3332 Raksha", "4779 Whitley", "281 Lucretia", "1271 Isergina", "2741 Valdivia", "1443 Ruppina", "5039 Rosenkavalier", "2245 Hekatostos", "7728 Giblin", "13441 Janmerlin", "2436 Hatshepsut", "(55637) 2002 UX25", "57 Mnemosyne", "1927 Suvanto", "5902 Talima", "1879 Broederstroom", "5162 Piemonte", "4511 Rembrandt", "6321 Namuratakao", "4291 Kodaihasu", "261 Prymno", "17445 Avatcha", "3442 Yashin", "1568 Aisleen", "6911 Nancygreen", "4170 Semmelweis", "5027 Androgeos", "4619 Polyakhova" ], "function": "<=", "commonness": -12.763596851037466, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.star_system_body", "class": "astronomy.star_system_body", "friendly_name": "Star system body", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12.629^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "12.629", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "astronomy.star_system_body.absolute_magnitude", "friendly_name": "Absolute magnitude" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :astronomy.star_system_body . \nFILTER (?x1 <= 12.629)\n?x0 :astronomy.star_system_body.absolute_magnitude ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 134000100, "question": "what are the celestial bodies with at most 12.629 absolute magnitude?", "answer": [ "5290 Langevin", "1571 Cesco", "3176 Paolicchi", "11552 Boucolion", "2369 Chekhov", "2149 Schwambraniya", "180 Garumna", "5511 Cloanthus", "6655 Nagahama", "8059 Deliyannis", "283 Emma", "3781 Dufek", "4110 Keats", "1655 Comas Solà", "7536 Fahrenheit", "53311 Deucalion", "2819 Ensor", "6683 Karachentsov", "2522 Triglav", "2697 Albina", "424 Gratia", "262 Valda", "6042 Cheshirecat", "3726 Johnadams", "1487 Boda", "5824 Inagaki", "4981 Sinyavskaya", "2979 Murmansk", "6220 Stepanmakarov", "1369 Ostanina", "3007 Reaves", "3457 Arnenordheim", "271 Penthesilea", "3143 Genecampbell", "5088 Tancredi", "147 Protogeneia", "5406 Jonjoseph", "2679 Kittisvaara", "779 Nina", "11652 Johnbrownlee", "369 Aëria", "7210 Darius", "1030 Vitja", "12291 Gohnaumann", "1583 Antilochus", "3787 Aivazovskij", "11911 Angel", "1464 Armisticia", "2117 Danmark", "8182 Akita", "5447 Lallement", "8086 Peterthomas", "8661 Ratzinger", "1204 Renzia", "4658 Gavrilov", "3442 Yashin", "1347 Patria", "110 Lydia", "341 California", "2681 Ostrovskij", "3580 Avery", "4746 Doi", "75 Eurydike", "1576 Fabiola", "2006 QH181", "3161 Beadell", "2931 Mayakovsky", "7775 Taiko", "3689 Yeates", "3290 Azabu", "2647 Sova", "1700 Zvezdara", "8582 Kazuhisa", "2416 Sharonov", "15231 Ehdita", "343 Ostara", "3761 Romanskaya", "7290 Johnrather", "1829 Dawson", "5204 Herakleitos", "241 Germania", "7754 Gopalan", "1551 Argelander", "4139 Ul'yanin", "1095 Tulipa", "3724 Annenskij", "1253 Frisia", "3768 Monroe", "8057 Hofmannsthal", "2260 Neoptolemus", "4235 Tatishchev", "6938 Soniaterk", "1624 Rabe", "2303 Retsina", "6445 Bellmore", "1962 Dunant", "4616 Batalov", "1491 Balduinus", "3575 Anyuta", "6972 Helvetius", "4210 Isobelthompson", "6351 Neumann", "7145 Linzexu", "2603 Taylor", "12235 Imranakperov", "1998 WW31", "2179 Platzeck", "2231 Durrell", "6106 Stoss", "1531 Hartmut", "1961 Dufour", "2138 Swissair", "1777 Gehrels", "1483 Hakoila", "2622 Bolzano", "447 Valentine", "1085 Amaryllis", "8204 Takabatake", "2894 Kakhovka", "2502 Nummela", "31 Euphrosyne", "1543 Bourgeois", "20961 Arkesilaos", "973 Aralia", "1617 Alschmitt", "366 Vincentina", "4058 Cecilgreen", "(4035) 1986 WD", "(85627) 1998 HP151", "1261 Legia", "664 Judith", "19721 Wray", "1256 Normannia", "1291 Phryne", "5885 Apeldoorn", "7331 Balindblad", "3129 Bonestell", "1572 Posnania", "3638 Davis", "6531 Subashiri", "2274 Ehrsson", "1723 Klemola", "589 Croatia", "3150 Tosa", "3937 Bretagnon", "4635 Rimbaud", "3747 Belinskij", "29869 Chiarabarbara", "1315 Bronislawa", "17859 Galinaryabova", "2207 Antenor", "3856 Lutskij", "1172 Äneas", "3158 Anga", "8813 Leviathan", "5890 Carlsberg", "4215 Kamo", "2103 Laverna", "32222 Charlesvest", "(174567) 2003 MW12", "471 Papagena", "1082 Pirola", "(148209) 2000 CR105", "2904 Millman", "5072 Hioki", "1880 McCrosky", "6990 Toya", "2674 Pandarus", "7906 Melanchton", "6175 Cori", "275 Sapientia", "1625 The NORC", "7142 Spinoza", "7110 Johnpearse", "12238 Actor", "(90568) 2004 GV9", "10583 Kanetugu", "2459 Spellmann", "3095 Omarkhayyam", "1193 Africa", "3132 Landgraf", "1939 Loretta", "2520 Novorossijsk", "4156 Okadanaboru", "357 Ninina", "4223 Shikoku", "5213 Takahashi", "246 Asporina", "2761 Eddington", "9175 Graun", "1903 Adzhimushkaj", "24603 Mekistheus", "8197 Mizunohiroshi", "2718 Handley", "1072 Malva", "1493 Sigrid", "894 Erda", "1540 Kevola", "1813 Imhotep", "303 Josephina", "3197 Weissman", "1986 Plaut", "1958 Chandra", "2985 Shakespeare", "4889 Praetorius", "2118 Flagstaff", "2304 Slavia", "4085 Weir", "1226 Golia", "5017 Tenchi", "1008 La Paz", "1973 Colocolo", "13463 Antiphos", "9090 Chirotenmondai", "2760 Kacha", "3207 Spinrad", "1074 Beljawskya", "360 Carlova", "3544 Borodino", "8915 Sawaishujiro", "3227 Hasegawa", "26763 Peirithoos", "1286 Banachiewicza", "8156 Tsukada", "2852 Declercq", "4997 Ksana", "5117 Mokotoyama", "7481 San Marcello", "2003 LA7", "9549 Akplatonov", "6786 Doudantsutsuji", "5151 Weerstra", "6794 Masuisakura", "52 Europa", "4446 Carolyn", "14989 Tutte", "2326 Tololo", "4181 Kivi", "66 Maja", "1847 Stobbe", "2594 Acamas", "(15760) 1992 QB1", "3518 Florena", "22203 Prothoenor", "149 Medusa", "42 Isis", "2003 QX113", "5234 Sechenov", "26057 Ankaios", "4093 Bennett", "3261 Tvardovskij", "7027 Toshihanda", "7253 Nara", "9544 Scottbirney", "6191 Eades", "386 Siegena", "3078 Horrocks", "6783 Gulyaev", "2533 Fechtig", "4836 Medon", "5832 Martaprincipe", "4353 Onizaki", "3036 Krat", "3156 Ellington", "4316 Babinkova", "216 Kleopatra", "3545 Gaffey", "186 Celuta", "1456 Saldanha", "4104 Alu", "6996 Alvensleben", "893 Leopoldina", "1559 Kustaanheimo", "2396 Kochi", "4863 Yasutani", "9021 Fagus", "306 Unitas", "1295 Deflotte", "1266 Tone", "1371 Resi", "4337 Arecibo", "804 Hispania", "1653 Yakhontovia", "1409 Isko", "3010 Ushakov", "5242 Kenreimonin", "1432 Ethiopia", "1210 Morosovia", "1058 Grubba", "2631 Zhejiang", "3208 Lunn", "13062 Podarkes", "1537 Transylvania", "4430 Govorukhin", "10608 Mameta", "1209 Pumma", "10654 Bontekoe", "6199 Yoshiokayayoi", "8330 Fitzroy", "2743 Chengdu", "2856 Röser", "5942 Denzilrobert", "1794 Finsen", "10582 Harumi", "2319 Aristides", "5458 Aizman", "5167 Joeharms", "3234 Hergiani", "3222 Liller", "1970 Sumeria", "6971 Omogokei", "30698 Hippokoon", "37519 Amphios", "9083 Ramboehm", "3346 Gerla", "14917 Taco", "128 Nemesis", "287 Nephthys", "4158 Santini", "1073 Gellivara", "1561 Fricke", "155 Scylla", "2476 Andersen", "2307 Garuda", "3791 Marci", "2181 Fogelin", "1425 Tuorla", "4367 Meech", "1000 Piazzia", "1975 Pikelner", "926 Imhilde", "3939 Huruhata", "6644 Jugaku", "3626 Ohsaki", "2060 Chiron", "4558 Janesick", "13387 Irus", "224 Oceana", "310 Margarita", "6249 Jennifer", "1930 Lucifer", "4597 Consolmagno", "5118 Elnapoul", "10331 Peterbluhm", "5196 Bustelli", "17351 Pheidippos", "359 Georgia", "7735 Scorzelli", "2759 Idomeneus", "6136 Gryphon", "5382 McKay", "10386 Romulus", "3794 Sthenelos", "10672 Kostyukova", "425 Cornelia", "2376 Martynov", "6604 Ilias", "5185 Alerossi", "381 Myrrha", "1083 Salvia", "1398 Donnera", "12868 Onken", "5809 Kulibin", "3170 Dzhanibekov", "1313 Berna", "256 Walpurga", "129 Antigone", "1952 Hesburgh", "1345 Potomac", "162 Laurentia", "1715 Salli", "361 Bononia", "3330 Gantrisch", "4431 Holeungholee", "1817 Katanga", "6827 Wombat", "6773 Kellaway", "179 Klytaemnestra", "3369 Freuchen", "29 Amphitrite", "912 Maritima", "16439 Yamehoshinokawa", "45 Eugenia", "2268 Szmytowna", "383 Janina", "5572 Bliskunov", "6385 Martindavid", "148 Gallia", "5547 Acadiau", "2753 Duncan", "21586 Pourkaviani", "2749 Walterhorn", "1358 Gaika", "772 Tanete", "3970 Herran", "3992 Wagner", "(131696) 2001 XT254", "(19308) 1996 TO66", "4959 Niinoama", "406 Erna", "12742 Delisle", "2987 Sarabhai", "4096 Kushiro", "2218 Wotho", "7217 Dacke", "6071 Sakitama", "6710 Apostel", "5957 Irina", "1353 Maartje", "5183 Robyn", "1097 Vicia", "4407 Taihaku", "11514 Tsunenaga", "5042 Colpa", "998 Bodea", "3045 Alois", "3280 Grétry", "2155 Wodan", "3178 Yoshitsune", "9845 Okamuraosamu", "2003 UZ413", "14612 Irtish", "1553 Bauersfelda", "5374 Hokutosei", "1783 Albitskij", "5858 Borovitskia", "445 Edna", "441 Bathilde", "95 Arethusa", "100 Hekate", "1892 Lucienne", "2557 Putnam", "4207 Chernova", "7176 Kuniji", "1761 Edmondson", "387 Aquitania", "858 El Djezaïr", "5411 Liia", "8500 Hori", "3082 Dzhalil", "401 Ottilia", "1808 Bellerophon", "10478 Alsabti", "3670 Northcott", "2890 Vilyujsk", "1069 Planckia", "32726 Chromios", "3451 Mentor", "84 Klio", "12714 Alkimos", "4907 Zoser", "6607 Matsushima", "3035 Chambers", "2255 Qinghai", "1382 Gerti", "7446 Hadrianus", "1868 Thersites", "4497 Taguchi", "3903 Kliment Ohridski", "4542 Mossotti", "89 Julia", "21128 Chapuis", "2005 TN74", "5900 Jensen", "4124 Herriot", "435 Ella", "1438 Wendeline", "1376 Michelle", "5652 Amphimachus", "30 Urania", "217 Eudora", "4717 Kaneko", "2850 Mozhaiskij", "11004 Stenmark", "2988 Korhonen", "7192 Cieletespace", "4068 Menestheus", "2950 Rousseau", "2172 Plavsk", "3106 Morabito", "1322 Coppernicus", "1574 Meyer", "6309 Elsschot", "351 Yrsa", "345 Tercidina", "3645 Fabini", "2365 Interkosmos", "1057 Wanda", "2453 Wabash", "6701 Warhol", "4622 Solovjova", "631 Philippina", "4084 Hollis", "11 Parthenope", "2226 Cunitza", "138 Tolosa", "4201 Orosz", "6838 Okuda", "4725 Milone", "4584 Akan", "3962 Valyaev", "3210 Lupishko", "4902 Thessandrus", "6697 Celentano", "3482 Lesnaya", "402 Chloë", "4685 Karetnikov", "4962 Vecherka", "152 Atala", "6349 Acapulco", "1112 Polonia", "1489 Attila", "(52747) 1998 HM151", "54598 Bienor", "428 Monachia", "67 Asia", "2214 Carol", "6075 Zajtsev", "8660 Sano", "9092 Nanyang", "4644 Oumu", "4284 Kaho", "385 Ilmatar", "9661 Hohmann", "4714 Toyohiro", "3916 Maeva", "6557 Yokonomura", "5497 Sararussell", "2088 Sahlia", "474 Prudentia", "1059 Mussorgskia", "1098 Hakone", "294 Felicia", "3570 Wuyeesun", "247 Eukrate", "3174 Alcock", "6983 Komatsusakyo", "2616 Lesya", "11151 Oodaigahara", "1833 Shmakova", "4645 Tentaikojo", "4344 Buxtehude", "3469 Bulgakov", "9612 Belgorod", "1722 Goffin", "1385 Gelria", "1619 Ueta", "4196 Shuya", "817 Annika", "2519 Annagerman", "5186 Donalu", "5221 Fabribudweis", "81 Terpsichore", "3702 Trubetskaya", "56 Melete", "6031 Ryokan", "2008 KV42", "21 Lutetia", "2460 Mitlincoln", "483 Seppina", "3516 Rusheva", "6143 Pythagoras", "177 Irma", "1716 Peter", "20952 Tydeus", "5285 Krethon", "171 Ophelia", "527 Euryanthe", "2185 Guangdong", "7061 Pieri", "459 Signe", "1570 Brunonia", "411 Xanthe", "3514 Hooke", "3223 Forsius", "8400 Tomizo", "12973 Melanthios", "6398 Timhunter", "7206 Shiki", "1957 Angara", "288 Glauke", "1384 Kniertje", "2421 Nininger", "1267 Geertruida", "1206 Numerowia", "2136 Jugta", "6535 Archipenko", "4230 van den Bergh", "1647 Menelaus", "16144 Korsten", "305 Gordonia", "1393 Sofala", "2776 Baikal", "1599 Giomus", "3189 Penza", "209 Dido", "5023 Agapenor", "4348 Poulydamas", "5067 Occidental", "1622 Chacornac", "2737 Kotka", "4182 Mount Locke", "3990 Heimdal", "3907 Kilmartin", "124 Alkeste", "4138 Kalchas", "41 Daphne", "2504 Gaviola", "901 Brunsia", "4157 Izu", "8041 Masumoto", "6719 Gallaj", "8501 Wachholz", "5041 Theotes", "1092 Lilium", "55 Pandora", "6001 Thales", "1356 Nyanza", "1293 Sonja", "1644 Rafita", "263 Dresda", "4103 Chahine", "8045 Kamiyama", "3983 Sakiko", "228 Agathe", "12896 Geoffroy", "109 Felicitas", "2908 Shimoyama", "4523 MIT", "5931 Zhvanetskij", "3901 Nanjingdaxue", "12561 Howard", "4317 Garibaldi", "8721 AMOS", "1832 Mrkos", "1802 Zhang Heng", "4649 Sumoto", "5092 Manara", "3924 Birch", "2730 Barks", "3011 Chongqing", "4840 Otaynang", "1502 Arenda", "630 Euphemia", "4075 Sviridov", "4679 Sybil", "12284 Pohl", "9180 Samsagan", "4874 Burke", "188 Menippe", "146 Lucina", "2630 Hermod", "10025 Rauer", "210 Isabella", "(145451) 2005 RM43", "115 Thyra", "3012 Minsk", "2393 Suzuki", "9306 Pittosporum", "2499 Brunk", "4418 Fredfranklin", "11321 Tosimatumoto", "1568 Aisleen", "2636 Lassell", "8184 Luderic", "3632 Grachevka", "356 Liguria", "13 Egeria", "8062 Okhotsymskij", "267 Tirza", "5120 Bitias", "5594 Jimmiller", "1998 Titius", "2567 Elba", "2918 Salazar", "6886 Grote", "8891 Irokawa", "2107 Ilmari", "5154 Leonov", "2525 O'Steen", "7611 Hashitatsu", "269 Justitia", "3675 Kemstach", "316 Goberta", "1860 Barbarossa", "2667 Oikawa", "520 Franziska", "2445 Blazhko", "312 Pierretta", "6025 Naotosato", "3981 Stodola", "1688 Wilkens", "3127 Bagration", "3001 Michelangelo", "3065 Sarahill", "7778 Markrobinson", "2277 Moreau", "1956 Artek", "259 Aletheia", "6372 Walker", "3184 Raab", "1093 Freda", "2104 Toronto", "3843 OISCA", "7487 Toshitanaka", "52975 Cyllarus", "14420 Massey", "1396 Outeniqua", "12583 Buckjean", "3845 Neyachenko", "3977 Maxine", "6908 Kunimoto", "15003 Midori", "1901 Moravia", "2224 Tucson", "2177 Oliver", "2000 Herschel", "8284 Cranach", "14338 Shibakoukan", "2194 Arpola", "1592 Mathieu", "4209 Briggs", "3793 Leonteus", "4575 Broman", "(136120) 2003 LG7", "1469 Linzia", "2159 Kukkamäki", "15939 Fessenden", "(230965) 2004 XA192", "5422 Hodgkin", "538 Friederike", "846 Lipperta", "446 Aeternitas", "2563 Boyarchuk", "2067 Aksnes", "2180 Marjaleena", "4779 Whitley", "1621 Druzhba", "1614 Goldschmidt", "4711 Kathy", "2546 Libitina", "2501 Lohja", "9430 Erichthonios", "2796 Kron", "11787 Baumanka", "5466 Makibi", "2969 Mikula", "5488 Kiyosato", "4619 Polyakhova", "2898 Neuvo", "13739 Nancyworden", "4315 Pronik", "5419 Benua", "3061 Cook", "(119070) 2001 KP77", "4712 Iwaizumi", "5293 Bentengahama", "443 Photographica", "2002 Euler", "2312 Duboshin", "3020 Naudts", "9193 Geoffreycopland", "1024 Hale", "371 Bohemia", "15512 Snyder", "733 Mocia", "4159 Freeman", "(303775) 2005 QU182", "2592 Hunan", "2627 Churyumov", "7476 Ogilsbie", "5138 Gyoda", "265 Anna", "1173 Anchises", "6306 Nishimura", "30P/Reinmuth", "3026 Sarastro", "6575 Slavov", "3501 Olegiya", "13220 Kashiwagura", "5839 GOI", "163 Erigone", "1290 Albertine", "2219 Mannucci", "1103 Sequoia", "3093 Bergholz", "6879 Hyogo", "2958 Arpetito", "5661 Hildebrand", "3623 Chaplin", "1404 Ajax", "2291 Kevo", "2700 Baikonur", "28 Bellona", "5709 Tamyeunleung", "127 Johanna", "2158 Tietjen", "3224 Irkutsk", "2769 Mendeleev", "4722 Agelaos", "2490 Bussolini", "419 Aurelia", "8000 Isaac Newton", "1665 Gaby", "14994 Uppenkamp", "16358 Plesetsk", "4170 Semmelweis", "223 Rosa", "321 Florentina", "2695 Christabel", "1416 Renauxa", "1842 Hynek", "1420 Radcliffe", "1648 Shajna", "2014 Vasilevskis", "5132 Maynard", "3686 Antoku", "5289 Niemela", "5145 Pholus", "4892 Chrispollas", "3565 Ojima", "8225 Emerson", "4151 Alanhale", "3335 Quanzhou", "3961 Arthurcox", "1411 Brauna", "2007 NC7", "1361 Leuschneria", "374 Burgundia", "5435 Kameoka", "4539 Miyagino", "481 Emita", "1002 Olbersia", "3468 Urgenta", "1908 Pobeda", "3597 Kakkuri", "3285 Ruth Wolfe", "5576 Albanese", "5225 Loral", "203 Pompeja", "3861 Lorenz", "5286 Haruomukai", "2543 Machado", "(120178) 2003 OP32", "5923 Liedeke", "809 Lundia", "1597 Laugier", "3044 Saltykov", "6524 Baalke", "3958 Komendantov", "2723 Gorshkov", "53 Kalypso", "5039 Rosenkavalier", "2320 Blarney", "7214 Anticlus", "1408 Trusanda", "6583 Destinn", "1229 Tilia", "3128 Obruchev", "5445 Williwaw", "3419 Guth", "3277 Aaronson", "44P/Reinmuth", "1675 Simonida", "3439 Lebofsky", "2091 Sampo", "101 Helena", "5662 Wendycalvin", "3966 Cherednichenko", "5091 Isakovskij", "1616 Filipoff", "48 Doris", "3252 Johnny", "412 Elisabetha", "13005 Stankonyukhov", "300 Geraldina", "6237 Chikushi", "1177 Gonnessia", "1697 Koskenniemi", "248 Lameia", "1104 Syringa", "6129 Demokritos", "193 Ambrosia", "164 Eva", "3713 Pieters", "2673 Lossignol", "2494 Inge", "118 Peitho", "13039 Awashima", "7923 Chyba", "2837 Griboedov", "5115 Frimout", "2511 Patterson", "4821 Bianucci", "12242 Koon", "6375 Fredharris", "1390 Abastumani", "1419 Danzig", "5775 Inuyama", "5061 McIntosh", "2645 Daphne Plane", "2111 Tselina", "6373 Stern", "15913 Telemachus", "6499 Michiko", "4716 Urey", "34 Circe", "5785 Fulton", "3896 Pordenone", "1569 Evita", "372 Palma", "2357 Phereclos", "4580 Child", "5433 Kairen", "272 Antonia", "376 Geometria", "2400 Derevskaya", "214 Aschera", "(15874) 1996 TL66", "8145 Valujki", "4438 Sykes", "4559 Strauss", "4952 Kibeshigemaro", "(86047) 1999 OY3", "5299 Bittesini", "1111 Reinmuthia", "375 Ursula", "4088 Baggesen", "2223 Sarpedon", "285 Regina", "473 Nolli", "1504 Lappeenranta", "1281 Jeanne", "7215 Gerhard", "2962 Otto", "1807 Slovakia", "1736 Floirac", "1630 Milet", "3772 Piaf", "5520 Natori", "5457 Queen's", "5546 Salavat", "4014 Heizman", "7 Iris", "5438 Lorre", "1086 Nata", "1745 Ferguson", "4453 Bornholm", "1088 Mitaka", "175 Andromache", "229 Adelinda", "1936 Lugano", "181 Eucharis", "3162 Nostalgia", "5592 Oshima", "2920 Automedon", "13917 Correggia", "1867 Deiphobus", "4687 Brunsandrej", "5800 Pollock", "370 Modestia", "2860 Pasacentennium", "10412 Tsukuyomi", "7928 Bijaoui", "97 Klotho", "6068 Brandenburg", "344 Desiderata", "8397 Chiakitanaka", "3960 Chaliubieju", "4382 Stravinsky", "7756 Scientia", "4741 Leskov", "408 Fama", "10257 Garecynthia", "(26181) 1996 GQ21", "4013 Ogiria", "1332 Marconia", "1578 Kirkwood", "1541 Estonia", "6475 Refugium", "2025 Nortia", "6989 Hoshinosato", "185 Eunike", "7067 Kiyose", "4451 Grieve", "7469 Krikalev", "1719 Jens", "7950 Berezov", "6639 Marchis", "5542 Moffatt", "1025 Riema", "2939 Coconino", "7392 Kowalski", "3479 Malaparte", "293 Brasilia", "2097 Galle", "Romulus", "5632 Ingelehmann", "11509 Thersilochos", "(202421) 2005 UQ513", "1888 Zu Chong-Zhi", "470 Kilia", "3683 Baumann", "4426 Roerich", "6472 Rosema", "51 Nemausa", "3746 Heyuan", "158 Koronis", "2884 Reddish", "2929 Harris", "1254 Erfordia", "5032 Conradhirsh", "4346 Whitney", "1547 Nele", "2137 Priscilla", "2498 Tsesevich", "6 Hebe", "(65407) 2002 RP120", "102 Miriam", "2439 Ulugbek", "10116 Robertfranz", "1521 Seinäjoki", "1679 Nevanlinna", "62 Erato", "20947 Polyneikes", "3367 Alex", "2336 Xinjiang", "191 Kolga", "8550 Hesiodos", "6553 Seehaus", "2717 Tellervo", "4457 van Gogh", "1094 Siberia", "137 Meliboea", "2451 Dollfus", "2595 Gudiachvili", "542 Susanna", "5994 Yakubovich", "207 Hedda", "4747 Jujo", "3447 Burckhalter", "7750 McEwen", "9713 Oceax", "304 Olga", "55701 Ukalegon", "85030 Admetos", "2470 Agematsu", "1071 Brita", "4976 Choukyongchol", "6432 Temirkanov", "2190 Coubertin", "1108 Demeter", "7300 Yoshisada", "3649 Guillermina", "4041 Miyamotoyohko", "5367 Sollenberger", "12 Victoria", "4342 Freud", "3911 Otomo", "281 Lucretia", "8391 Kring", "2 Pallas", "2810 Lev Tolstoj", "7342 Uchinoura", "4345 Rachmaninoff", "5294 Onnetoh", "5147 Maruyama", "2471 Ultrajectum", "5750 Kandatai", "4271 Novosibirsk", "6072 Hooghoudt", "5157 Hindemith", "4126 Mashu", "3910 Liszt", "4592 Alkissia", "1118 Hanskya", "14902 Miyairi", "187 Lamberta", "1840 Hus", "869 Mellena", "3760 Poutanen", "3063 Makhaon", "1989 Tatry", "4051 Hatanaka", "2001 QR322", "5889 Mickiewicz", "85 Io", "2152 Hannibal", "2192 Pyatigoriya", "3396 Muazzez", "8374 Horohata", "439 Ohio", "46 Hestia", "2526 Alisary", "7528 Huskvarna", "5133 Phillipadams", "8133 Takanochoei", "(35671) 1998 SN165", "120 Lachesis", "11314 Charcot", "6260 Kelsey", "7270 Punkin", "2413 van de Hulst", "337 Devosa", "237 Coelestina", "8983 Rayakazakova", "2310 Olshaniya", "4060 Deipylos", "2386 Nikonov", "773 Irmintraud", "3809 Amici", "532 Herculina", "15499 Cloyd", "3995 Sakaino", "3312 Pedersen", "3932 Edshay", "700 Auravictrix", "6832 Kawabata", "13146 Yuriko", "140 Siwa", "1875 Neruda", "6124 Mecklenburg", "3727 Maxhell", "17492 Hippasos", "33 Polyhymnia", "3213 Smolensk", "10217 Richardcook", "11739 Baton Rouge", "1255 Schilowa", "1658 Innes", "6371 Heinlein", "1786 Raahe", "4543 Phoinix", "3606 Pohjola", "2711 Aleksandrov", "2001 QF298", "2797 Teucer", "3560 Chenqian", "2004 XR190", "3642 Frieden", "4598 Coradini", "3024 Hainan", "2560 Siegma", "4828 Misenus", "7131 Longtom", "5197 Rottmann", "1508 Kemi", "2330 Ontake", "1529 Oterma", "8205 Van Dijck", "1207 Ostenia", "4447 Kirov", "1937 Locarno", "1522 Kokkola", "4369 Seifert", "2305 King", "1678 Hveen", "3700 Geowilliams", "2007 JH43", "3601 Velikhov", "8380 Tooting", "26984 Fernand-Roland", "2492 Kutuzov", "4677 Hiroshi", "4751 Alicemanning", "4449 Sobinov", "9712 Nauplius", "6645 Arcetri", "5155 Denisyuk", "7119 Hiera", "8747 Asahi", "1499 Pori", "156 Xanthippe", "952 Caia", "11668 Balios", "1421 Esperanto", "327 Columbia", "82 Alkmene", "1738 Oosterhoff", "2371 Dimitrov", "190 Ismene", "5595 Roth", "1395 Aribeda", "416 Vaticana", "1828 Kashirina", "3734 Waland", "4402 Tsunemori", "2715 Mielikki", "3866 Langley", "91 Aegina", "105 Artemis", "3328 Interposita", "(87269) 2000 OO67", "21062 Iasky", "9205 Eddywally", "2851 Harbin", "3406 Omsk", "1587 Kahrstedt", "3873 Roddy", "86 Semele", "1268 Libya", "1950 Wempe", "3341 Hartmann", "5074 Goetzoertel", "1351 Uzbekistania", "4162 SAF", "5697 Arrhenius", "1363 Herberta", "328 Gudrun", "5619 Shair", "1217 Maximiliana", "6153 Hershey", "1886 Lowell", "(182294) 2001 KU76", "55678 Lampos", "4766 Malin", "6104 Takao", "3228 Pire", "73 Klytia", "1400 Tirela", "16154 Dabramo", "157 Dejanira", "1081 Reseda", "8175 Boerhaave", "15427 Shabas", "1225 Ariane", "3230 Vampilov", "403 Cyane", "55676 Klythios", "380 Fiducia", "1309 Hyperborea", "5198 Fongyunwah", "3933 Portugal", "5966 Tomeko", "3062 Wren", "5182 Bray", "3377 Lodewijk", "7308 Hattori", "1252 Celestia", "(24978) 1998 HJ151", "1913 Sekanina", "7674 Kasuga", "15147 Siegfried", "151 Abundantia", "3115 Baily", "8316 Wolkenstein", "7363 Esquibel", "2913 Horta", "4424 Arkhipova", "8866 Tanegashima", "1830 Pogson", "23030 Jimkennedy", "3445 Pinson", "6026 Xenophanes", "1848 Delvaux", "11887 Echemmon", "2578 Saint-Exupéry", "4119 Miles", "16466 Piyashiriyama", "8241 Agrius", "5281 Lindstrom", "1690 Mayrhofer", "2302 Florya", "150 Nuwa", "1070 Tunica", "5769 Michard", "16 Psyche", "1773 Rumpelstilz", "14664 Vandervelden", "4526 Konko", "32569 Deming", "3754 Kathleen", "65590 Archeptolemos", "4708 Polydoros", "5405 Neverland", "1176 Lucidor", "125 Liberatrix", "2234 Schmadel", "1945 Wesselink", "1804 Chebotarev", "1239 Queteleta", "3296 Bosque Alegre", "4664 Hanner", "4226 Damiaan", "4410 Kamuimintara", "32720 Simoeisios", "8787 Ignatenko", "1096 Reunerta", "2463 Sterpin", "5483 Cherkashin", "6750 Katgert", "1359 Prieska", "1977 Shura", "4832 Palinurus", "8410 Hiroakiohno", "18268 Dardanos", "413 Edburga", "1872 Helenos", "2996 Bowman", "7692 Edhenderson", "1845 Helewalda", "8934 Nishimurajun", "2729 Urumqi", "3368 Duncombe", "49036 Pelion", "2612 Kathryn", "5161 Wightman", "8150 Kaluga", "6770 Fugate", "2474 Ruby", "154 Bertha", "13808 Davewilliams", "6997 Laomedon", "954 Li", "15417 Babylon", "2521 Heidi", "7607 Billmerline", "1687 Glarona", "4361 Nezhdanova", "13224 Takamatsuda", "367 Amicitia", "15969 Charlesgreen", "2292 Seili", "2349 Kurchenko", "1191 Alfaterna", "1557 Roehla", "1418 Fayeta", "2686 Linda Susan", "1287 Lorcia", "302 Clarissa", "1366 Piccolo", "2808 Belgrano", "5105 Westerhout", "1512 Oulu", "141 Lumen", "4352 Kyoto", "6984 Lewiscarroll", "1878 Hughes", "5416 Estremadoyro", "8321 Akim", "3303 Merta", "2356 Hirons", "2551 Decabrina", "2027 Shen Guo", "243 Ida", "7152 Euneus", "335 Roberta", "7193 Yamaoka", "6340 Kathmandu", "1459 Magnya", "7139 Tsubokawa", "2294 Andronikov", "3317 Paris", "2725 David Bender", "6423 Harunasan", "4452 Ullacharles", "6572 Carson", "3334 Somov", "2315 Czechoslovakia", "616 Elly", "4511 Rembrandt", "6910 Ikeguchi", "299 Thora", "27396 Shuji", "3316 Herzberg", "2239 Paracelsus", "5955 Khromchenko", "2407 Haug", "68 Leto", "2617 Jiangxi", "2669 Shostakovich", "26858 Misterrogers", "57 Mnemosyne", "2433 Sootiyo", "2684 Douglas", "30724 Peterburgtrista", "436 Patricia", "(3708) 1974 FV1", "5439 Couturier", "4557 Mika", "5959 Shaklan", "43 Ariadne", "2220 Hicks", "3080 Moisseiev", "10809 Majsterrojr", "10885 Horimasato", "3678 Mongmanwai", "1548 Palomaa", "2250 Stalingrad", "5301 Novobranets", "4192 Breysacher", "3812 Lidaksum", "4946 Askalaphus", "2425 Shenzhen", "49 Pales", "15631 Dellorusso", "18745 San Pedro", "1904 Massevitch", "5875 Kuga", "5231 Verne", "6228 Yonezawa", "2364 Seillier", "3179 Beruti", "2976 Lautaro", "2051 Chang", "358 Apollonia", "1196 Sheba", "4665 Muinonen", "83 Beatrix", "2978 Roudebush", "1877 Marsden", "6670 Wallach", "4285 Hulkower", "3712 Kraft", "7581 Yudovich", "12649 Ascanios", "3909 Gladys", "440 Theodora", "3534 Sax", "8814 Rosseven", "1579 Herrick", "468 Lina", "7378 Herbertpalme", "(55636) 2002 TX300", "4805 Asteropaios", "111P/Helin–Roman–Crockett", "167 Urda", "8048 Andrle", "13482 Igorfedorov", "7314 Pevsner", "295 Theresia", "1594 Danjon", "6389 Ogawa", "1841 Masaryk", "3126 Davydov", "1586 Thiele", "3955 Bruckner", "1730 Marceline", "6665 Kagawa", "4505 Okamura", "2004 Lexell", "9297 Marchuk", "7718 Desnoux", "5028 Halaesus", "5624 Shirley", "7113 Ostapbender", "1691 Oort", "3906 Chao", "3883 Verbano", "2600 Lumme", "1458 Mineura", "(82075) 2000 YW134", "5249 Giza", "2010 Chebyshev", "2134 Dennispalm", "1635 Bohrmann", "3019 Kulin", "407 Arachne", "18568 Thuillot", "9067 Katsuno", "1772 Gagarin", "8340 Mumma", "5303 Parijskij", "3423 Slouka", "1969 Alain", "2690 Ristiina", "1436 Salonta", "3471 Amelin", "3248 Farinella", "1222 Tina", "6643 Morikubo", "278 Paulina", "9670 Magni", "393 Lampetia", "6354 Vangelis", "3276 Porta Coeli", "2677 Joan", "3625 Fracastoro", "2787 Tovarishch", "400 Ducrosa", "3436 Ibadinov", "6193 Manabe", "373 Melusina", "282 Clorinde", "3930 Vasilev", "1457 Ankara", "10234 Sixtygarden", "1294 Antwerpia", "1588 Descamisada", "7269 Alprokhorov", "10727 Akitsushima", "5852 Nanette", "3405 Daiwensai", "6924 Fukui", "38628 Huya", "1056 Azalea", "2008 Konstitutsiya", "1405 Sibelius", "1413 Roucarie", "4657 Lopez", "2562 Chaliapin", "9633 Cotur", "5454 Kojiki", "12352 Jepejacobsen", "4266 Waltari", "4502 Elizabethann", "579 Sidonia", "6955 Ekaterina", "6358 Chertok", "3041 Webb", "3297 Hong Kong", "3497 Innanen", "2381 Landi", "6821 Ranevskaya", "4141 Nintanlena", "4903 Ichikawa", "1228 Scabiosa", "1202 Marina", "1292 Luce", "3776 Vartiovuori", "4194 Sweitzer", "3021 Lucubratio", "3164 Prast", "6346 Syukumeguri", "200 Dynamene", "2241 Alcathous", "2963 Chen Jiageng", "194 Prokne", "1064 Aethusa", "72 Feronia", "5033 Mistral", "4569 Baerbel", "2678 Aavasaksa", "398 Admete", "1667 Pels", "4860 Gubbio", "2405 Welch", "624 Hektor", "5526 Kenzo", "4305 Clapton", "2742 Gibson", "7736 Nizhnij Novgorod", "6890 Savinykh", "433 Eros", "4046 Swain", "3319 Kibi", "2269 Efremiana", "4393 Dawe", "4208 Kiselev", "3585 Goshirakawa", "431 Nephele", "2153 Akiyama", "3608 Kataev", "2295 Matusovskij", "5759 Zoshchenko", "2209 Tianjin", "2452 Lyot", "5519 Lellouch", "1753 Mieke", "119 Althaea", "4313 Bouchet", "261 Prymno", "1995 GJ", "6214 Mikhailgrinev", "1368 Numidia", "3915 Fukushima", "252 Clementina", "4969 Lawrence", "1201 Strenua", "1495 Helsinki", "1078 Mentha", "7429 Hoshikawa", "430 Hybris", "379 Huenna", "5083 Irinara", "30705 Idaios", "18365 Shimomoto", "5521 Morpurgo", "22503 Thalpius", "2108 Otto Schmidt", "3391 Sinon", "1642 Hill", "195 Eurykleia", "3432 Kobuchizawa", "1445 Konkolya", "2983 Poltava", "1984 Fedynskij", "5215 Tsurui", "2658 Gingerich", "6420 Riheijyaya", "4357 Korinthos", "88 Thisbe", "3332 Raksha", "3663 Tisserand", "2090 Mizuho", "139 Juewa", "3877 Braes", "2848 ASP", "5296 Friedrich", "4306 Dunaevskij", "429 Lotis", "853 Nansenia", "1960 Guisan", "30708 Echepolos", "1995 SN55", "3134 Kostinsky", "11107 Hakkoda", "4191 Assesse", "3509 Sanshui", "2869 Nepryadva", "2875 Lagerkvist", "4258 Ryazanov", "391 Ingeborg", "6173 Jimwestphal", "5698 Nolde", "2290 Helffrich", "7082 La Serena", "537 Pauly", "5134 Ebilson", "892 Seeligeria", "3540 Protesilaos", "2951 Perepadin", "1462 Zamenhof", "3568 ASCII", "1121 Natascha", "5629 Kuwana", "4100 Sumiko", "13436 Enid", "1100 Arnica", "2309 Mr. Spock", "2932 Kempchinsky", "5677 Aberdonia", "6174 Polybius", "3196 Maklaj", "3415 Danby", "4419 Allancook", "2493 Elmer", "4420 Alandreev", "4803 Birkle", "13093 Wolfgangpauli", "13010 Germantitov", "1248 Jugurtha", "1748 Mauderli", "7628 Evgenifedorov", "2559 Svoboda", "1686 De Sitter", "3071 Nesterov", "4521 Akimov", "24701 Elyu-Ene", "2805 Kalle", "6656 Yokota", "6518 Vernon", "6051 Anaximenes", "3790 Raywilson", "189 Phthia", "2240 Tsai", "6077 Messner", "29555 MACEK", "5338 Michelblanc", "1277 Dolores", "6463 Isoda", "2509 Chukotka", "309 Fraternitas", "2206 Gabrova", "3151 Talbot", "1115 Sabauda", "5798 Burnett", "15551 Paddock", "3401 Vanphilos", "4118 Sveta", "3525 Paul", "6094 Hisako", "236 Honoria", "5837 Hedin", "4379 Snelling", "5114 Yezo", "8804 Eliason", "4673 Bortle", "8 Flora", "4911 Rosenzweig", "3262 Miune", "2893 Peiroos", "12658 Peiraios", "7394 Xanthomalitia", "1375 Alfreda", "2121 Sevastopol", "5255 Johnsophie", "501 Urhixidur", "1447 Utra", "14315 Ogawamachi", "6255 Kuma", "2456 Palamedes", "77 Frigga", "2927 Alamosa", "17184 Carlrogers", "5288 Nankichi", "7037 Davidlean", "1721 Wells", "7124 Glinos", "6619 Kolya", "5012 Eurymedon", "5385 Kamenka", "58 Concordia", "2095 Parsifal", "18263 Anchialos", "3177 Chillicothe", "4236 Lidov", "1527 Malmquista", "2288 Karolinum", "12442 Beltramemass", "4566 Chaokuangpiu", "10259 Osipovyurij", "6155 Yokosugano", "1283 Komsomolia", "3913 Chemin", "1275 Cimbria", "3240 Laocoon", "7291 Hyakutake", "4052 Crovisier", "1320 Impala", "5578 Takakura", "6729 Emiko", "198 Ampella", "1334 Lundmarka", "1186 Turnera", "2333 Porthan", "2035 Stearns", "135 Hertha", "12439 Okasaki", "38083 Rhadamanthus", "13815 Furuya", "3846 Hazel", "2692 Chkalov", "1556 Wingolfia", "19848 Yeungchuchiu", "1927 Suvanto", "(145453) 2005 RR43", "90 Antiope", "4529 Webern", "2208 Pushkin", "94 Aurora", "1918 Aiguillon", "11147 Delmas", "1702 Kalahari", "2332 Kalm", "5465 Chumakov", "280 Philia", "5222 Ioffe", "2132 Zhukov", "3819 Robinson", "8443 Svecica", "1036 Ganymed", "2835 Ryoma", "3796 Lene", "2054 Gawain", "4007 Euryalos", "1815 Beethoven", "3616 Glazunov", "1282 Utopia", "2005 CB79", "2342 Lebedev", "23383 Schedios", "1523 Pieksämäki", "3588 Kirik", "80 Sappho", "6784 Bogatikov", "1107 Lictoria", "3499 Hoppe", "2352 Kurchatov", "2430 Bruce Helin", "112 Iphigenia", "4131 Stasik", "12052 Aretaon", "1866 Sisyphus", "2477 Biryukov", "22177 Saotome", "6410 Fujiwara", "2115 Irakli", "19521 Chaos", "83982 Crantor", "6500 Kodaira", "3946 Shor", "3704 Gaoshiqi", "617 Patroclus", "6677 Renoir", "1067 Lunaria", "5 Astraea", "1711 Sandrine", "231 Vindobona", "3804 Drunina", "2043 Ortutay", "(145452) 2005 RN43", "1595 Tanga", "6459 Hidesan", "1606 Jekhovsky", "7766 Jododaira", "4222 Nancita", "10265 Gunnarsson", "2786 Grinevia", "2009 Voloshina", "1383 Limburgia", "11943 Davidhartley", "1797 Schaumasse", "1450 Raimonda", "6169 Sashakrot", "(225088) 2007 OR10", "7106 Kondakov", "1812 Gilgamesh", "2216 Kerch", "3148 Grechko", "2338 Bokhan", "4036 Whitehouse", "4153 Roburnham", "1985 Hopmann", "342 Endymion", "5613 Donskoj", "8181 Rossini", "1590 Tsiolkovskaja", "1271 Isergina", "3136 Anshan", "528 Rezia", "1528 Conrada", "2084 Okayama", "15621 Erikhovland", "2183 Neufang", "1796 Riga", "6366 Rainerwieler", "1212 Francette", "1680 Per Brahe", "4916 Brumberg", "6052 Junichi", "6088 Hoshigakubo", "346 Hermentaria", "14792 Thyestes", "7530 Mizusawa", "4730 Xingmingzhou", "4395 Danbritt", "2728 Yatskiv", "2415 Ganesa", "1712 Angola", "4167 Riemann", "3823 Yorii", "1208 Troilus", "16035 Sasandford", "2225 Serkowski", "1117 Reginita", "93 Minerva", "2731 Cucula", "3444 Stepanian", "3450 Dommanget", "74 Galatea", "234 Barbara", "3774 Megumi", "196 Philomela", "1895 Larink", "5971 Tickell", "3347 Konstantin", "21602 Ialmenus", "182 Elsa", "2167 Erin", "1902 Shaposhnikov", "3139 Shantou", "2450 Ioannisiani", "1327 Namaqua", "323 Brucia", "4365 Ivanova", "5484 Inoda", "254 Augusta", "3874 Stuart", "3801 Thrasymedes", "2020 Ukko", "1726 Hoffmeister", "3155 Lee", "6820 Buil", "5036 Tuttle", "5565 Ukyounodaibu", "3399 Kobzon", "1321 Majuba", "552 Sigelinde", "23355 Elephenor", "2370 van Altena", "2252 CERGA", "1518 Rovaniemi", "6210 Hyunseop", "9 Metis", "2251 Tikhov", "1701 Okavango", "12395 Richnelson", "4790 Petrpravec", "1641 Tana", "4829 Sergestus", "3945 Gerasimenko", "4290 Heisei", "1437 Diomedes", "3502 Huangpu", "7414 Bosch", "266 Aline", "2146 Stentor", "1683 Castafiore", "7583 Rosegger", "1771 Makover", "760 Massinga", "4325 Guest", "3028 Zhangguoxi", "1793 Zoya", "2839 Annette", "308 Polyxo", "2981 Chagall", "2982 Muriel", "5450 Sokrates", "2455 Somville", "1664 Felix", "4792 Lykaon", "3618 Kuprin", "173 Ino", "8234 Nobeoka", "122 Gerda", "395 Delia", "513 Centesima", "3830 Trelleborg", "2938 Hopi", "10247 Amphiaraos", "9117 Aude", "4628 Laplace", "17 Thetis", "6113 Tsap", "4063 Euforbo", "5090 Wyeth", "1898 Cowell", "477 Italia", "2901 Bagehot", "1650 Heckmann", "6720 Gifu", "3637 O'Meara", "5142 Okutama", "(248835) 2006 SX368", "1999 Hirayama", "405 Thia", "4417 Lecar", "8066 Poldimeri", "3902 Yoritomo", "3596 Meriones", "79 Eurynome", "2591 Dworetsky", "12974 Halitherses", "355 Gabriella", "3584 Aisha", "4931 Tomsk", "2003 Harding", "7710 Ishibashi", "10653 Witsen", "8560 Tsubaki", "1795 Woltjer", "6403 Steverin", "2444 Lederle", "4006 Sandler", "297 Caecilia", "2068 Dangreen", "394 Arduina", "5644 Maureenbell", "2755 Avicenna", "2895 Memnon", "5317 Verolacqua", "2653 Principia", "1555 Dejan", "54 Alexandra", "7083 Kant", "1575 Winifred", "4613 Mamoru", "8578 Shojikato", "96 Aegle", "268 Adorea", "4709 Ennomos", "227 Philosophia", "211 Isolda", "14424 Laval", "1997 SZ10", "852 Wladilena", "3543 Ningbo", "339 Dorothea", "1170 Siva", "1428 Mombasa", "2007 McCuskey", "65 Cybele", "184 Dejopeja", "7318 Dyukov", "5129 Groom", "9907 Oileus", "4873 Fukaya", "3515 Jindra", "3666 Holman", "740 Cantabia", "2434 Bateson", "3300 McGlasson", "10989 Dolios", "1330 Spiridonia", "(119068) 2001 KC77", "334 Chicago", "1732 Heike", "596 Scheila", "9818 Eurymachos", "5808 Babel'", "2395 Aho", "588 Achilles", "1415 Malautra", "(120348) 2004 TY364", "11020 Orwell", "1184 Gaea", "1803 Zwicky", "5780 Lafontaine", "14446 Kinkowan", "4980 Magomaev", "6837 Bressi", "1941 Wild", "970 Primula", "60 Echo", "467 Laura", "1940 Whipple", "313 Chaldaea", "3241 Yeshuhua", "114 Kassandra", "4071 Rostovdon", "11987 Yonematsu", "397 Vienna", "3380 Awaji", "4844 Matsuyama", "1567 Alikoski", "1337 Gerarda", "1607 Mavis", "4513 Louvre", "12279 Laon", "6241 Galante", "329 Svea", "2882 Tedesco", "10069 Fontenelle", "2793 Valdaj", "1214 Richilde", "4211 Rosniblett", "2651 Karen", "6916 Lewispearce", "6150 Neukum", "4853 Marielukac", "7911 Carlpilcher", "8496 Jandlsmith", "(79983) 1999 DF9", "7366 Agata", "5274 Degewij", "(60608) 2000 EE173", "174 Phaedra", "2355 Nei Monggol", "3449 Abell", "8502 Bauhaus", "(126154) 2001 YH140", "2148 Epeios", "5187 Domon", "5079 Brubeck", "2004 VN112", "4950 House", "1190 Pelagia", "41488 Sindbad", "8387 Fujimori", "336 Lacadiera", "5654 Terni", "3363 Bowen", "3308 Ferreri", "7499 L'Aquila", "6606 Makino", "10094 Eijikato", "4086 Podalirius", "1672 Gezelle", "10711 Pskov", "5021 Krylania", "2106 Hugo", "5962 Shikokutenkyo", "14316 Higashichichibu", "2707 Ueferji", "1227 Geranium", "1331 Solvejg", "5461 Autumn", "8537 Billochbull", "1645 Waterfield", "32532 Thereus", "219 Thusnelda", "625 Xenia", "1907 Rudneva", "14342 Iglika", "1649 Fabre", "1638 Ruanda", "2266 Tchaikovsky", "4073 Ruianzhongxue", "273 Atropos", "2650 Elinor", "2270 Yazhi", "6392 Takashimizuno", "3475 Fichte", "7485 Changchun", "3821 Sonet", "5692 Shirao", "23318 Salvadorsanchez", "6245 Ikufumi", "4422 Jarre", "2550 Houssay", "4381 Uenohara", "4454 Kumiko", "4535 Adamcarolla", "2461 Clavel", "3371 Giacconi", "1963 Bezovec", "160 Una", "2306 Bauschinger", "6139 Naomi", "3731 Hancock", "4045 Lowengrub", "1258 Sicilia", "9829 Murillo", "4467 Kaidanovskij", "4574 Yoshinaka", "4756 Asaramas", "11017 Billputnam", "(20161) 1996 TR66", "1811 Bruwer", "1427 Ruvuma", "8128 Nicomachus", "410 Chloris", "2057 Rosemary", "1054 Forsytia", "4175 Billbaum", "2826 Ahti", "6959 Mikkelkocha", "1501 Baade", "3661 Dolmatovskij", "4326 McNally", "9562 Memling", "8189 Naruke", "2892 Filipenko", "6775 Giorgini", "1669 Dagmar", "21557 Daniellitt", "3273 Drukar", "7167 Laupheim", "5936 Khadzhinov", "3310 Patsy", "8036 Maehara", "169 Zelia", "5470 Kurtlindstrom", "3348 Pokryshkin", "1891 Gondola", "4122 Ferrari", "4896 Tomoegozen", "5070 Arai", "1238 Predappia", "353 Ruperto-Carola", "3922 Heather", "4332 Milton", "448 Natalie", "5372 Bikki", "2505 Hebei", "2574 Ladoga", "6866 Kukai", "5126 Achaemenides", "5571 Lesliegreen", "2726 Kotelnikov", "5502 Brashear", "10888 Yamatano-orochi", "44 Nysa", "3409 Abramov", "5833 Peterson", "14791 Atreus", "3032 Evans", "13229 Echion", "1591 Baize", "2140 Kemerovo", "1328 Devota", "4455 Ruriko", "7501 Farra", "330 Adalberta", "4930 Rephiltim", "5162 Piemonte", "7596 Yumi", "1879 Broederstroom", "10793 Quito", "2262 Mitidika", "47 Aglaja", "1247 Memoria", "10195 Nebraska", "13441 Janmerlin", "2019 van Albada", "3828 Hoshino", "3577 Putilin", "1401 Lavonne", "1782 Schneller", "6247 Amanogawa", "1776 Kuiper", "(144897) 2004 UX10", "4243 Nankivell", "5199 Dortmund", "13475 Orestes", "1749 Telamon", "2507 Bobone", "2238 Steshenko", "475 Ocllo", "13185 Agasthenes", "4077 Asuka", "6439 Tirol", "4771 Hayashi", "10555 Tagaharue", "257 Silesia", "2517 Orma", "694 Ekard", "14702 Benclark", "1582 Martir", "863 Benkoela", "3506 French", "3647 Dermott", "3655 Eupraksia", "2296 Kugultinov", "71 Niobe", "1549 Mikko", "2056 Nancy", "6353 Semper", "6345 Hideo", "5468 Hamatonbetsu", "12214 Miroshnikov", "2176 Donar", "6299 Reizoutoyoko", "1318 Nerina", "3039 Yangel", "165 Loreley", "4351 Nobuhisa", "3581 Alvarez", "4176 Sudek", "347 Pariana", "16507 Fuuren", "76 Freia", "8295 Toshifukushima", "1243 Pamela", "2696 Magion", "2957 Tatsuo", "1122 Neith", "4461 Sayama", "7205 Sadanori", "2324 Janice", "2164 Lyalya", "2649 Oongaq", "1884 Skip", "178 Belisana", "1737 Severny", "8250 Cornell", "(145480) 2005 TB190", "(84719) 2002 VR128", "348 May", "2611 Boyce", "13859 Fredtreasure", "1224 Fantasia", "27 Euterpe", "2246 Bowell", "11202 Teddunham", "1819 Laputa", "39 Laetitia", "9023 Mnesthus", "2016 Heinemann", "6925 Susumu", "2970 Pestalozzi", "3785 Kitami", "7494 Xiwanggongcheng", "1857 Parchomenko", "244 Sita", "307 Nike", "4427 Burnashev", "4763 Ride", "7182 Robinvaughan", "3886 Shcherbakovia", "10306 Pagnol", "(229762) 2007 UK126", "7353 Kazuya", "2141 Simferopol", "3887 Gerstner", "610 Valeska", "25 Phocaea", "4152 Weber", "2740 Tsoj", "5714 Krasinsky", "4696 Arpigny", "3609 Liloketai", "5043 Zadornov", "350 Ornamenta", "11785 Migaic", "2555 Thomas", "3532 Tracie", "205 Martha", "9154 Kol'tsovo", "2573 Hannu Olavi", "4624 Stefani", "389 Industria", "5474 Gingasen", "3835 Korolenko", "388 Charybdis", "5320 Lisbeth", "6408 Saijo", "11554 Asios", "1805 Dirikis", "2632 Guizhou", "1836 Komarov", "4421 Kayor", "951 Gaspra", "2621 Goto", "5555 Wimberly", "9423 Abt", "1894 Haffner", "2880 Nihondaira", "3119 Dobronravin", "4003 Schumann", "4547 Massachusetts", "4466 Abai", "55576 Amycus", "3797 Ching-Sung Yu", "5283 Pyrrhus", "4601 Ludkewycz", "1873 Agenor", "2638 Gadolin", "2401 Aehlita", "1278 Kenya", "2394 Nadeev", "333 Badenia", "2186 Keldysh", "5325 Silver", "1288 Santa", "4846 Tuthmosis", "1834 Palach", "5232 Jordaens", "6364 Casarini", "463 Lola", "8329 Speckman", "183 Istria", "1839 Ragazza", "702 Alauda", "1910 Mikhailov", "3476 Dongguan", "9859 Van Lierde", "35 Leukothea", "13389 Stacey", "2524 Budovicium", "8538 Gammelmaja", "3202 Graff", "4904 Makio", "6030 Zolensky", "4059 Balder", "55702 Thymoitos", "1869 Philoctetes", "2184 Fujian", "3383 Koyama", "2408 Astapovich", "6869 Funada", "4702 Berounka", "325 Heidelberga", "22 Kalliope", "3987 Wujek", "2188 Orlenok", "4865 Sor", "235 Carolina", "409 Aspasia", "3357 Tolstikov", "6730 Ikeda", "4516 Pugovkin", "1417 Walinskia", "1993 RO", "1211 Bressole", "1346 Gotha", "18156 Kamisaibara", "9155 Verkhodanov", "2391 Tomita", "399 Persephone", "2092 Sumiana", "7051 Sean", "2331 Parvulesco", "58534 Logos", "5149 Leibniz", "4603 Bertaud", "5902 Talima", "3885 Bogorodskij", "4856 Seaborg", "2069 Hubble", "4501 Eurypylos", "6911 Nancygreen", "1219 Britta", "3008 Nojiri", "427 Galene", "854 Frostia", "142 Polana", "7770 Siljan", "4961 Timherder", "1357 Khama", "17445 Avatcha", "3548 Eurybates", "170 Maria", "3305 Ceadams", "6613 Williamcarl", "1965 van de Kamp", "9033 Kawane", "3621 Curtis", "7991 Kaguyahime", "8573 Ivanka", "5816 Potsdam", "3092 Herodotus", "6941 Dalgarno", "4681 Ermak", "4234 Evtushenko", "2933 Amber", "5316 Filatov", "133 Cyrene", "1639 Bower", "3089 Oujianquan", "20 Massalia", "1109 Tata", "3049 Kuzbass", "4837 Bickerton", "1506 Xosa", "2727 Paton", "1240 Centenaria", "2945 Zanstra", "172 Baucis", "6359 Dubinin", "5807 Mshatka", "3705 Hotellasilla", "13123 Tyson", "1735 ITA", "10864 Yamagatashi", "2428 Kamenyar", "298 Baptistina", "3558 Shishkin", "1182 Ilona", "1532 Inari", "120347 Salacia", "3730 Hurban", "390 Alma", "5130 Ilioneus", "3242 Bakhchisaraj", "7551 Edstolper", "1510 Charlois", "66652 Borasisi", "1285 Julietta", "2426 Simonov", "1340 Yvette", "143 Adria", "11528 Mie", "2361 Gogol", "1743 Schmidt", "3729 Yangzhou", "3504 Kholshevnikov", "1629 Pecker", "12211 Arnoschmidt", "3665 Fitzgerald", "4261 Gekko", "1519 Kajaani", "3751 Kiang", "3832 Shapiro", "1101 Clematis", "1851 Lacroute", "3820 Sauval", "4112 Hrabal", "18114 Rosenbush", "362 Havnia", "4057 Demophon", "6300 Hosamu", "1660 Wood", "12562 Briangrazer", "1381 Danubia", "3598 Saucier", "3615 Safronov", "1482 Sebastiana", "1342 Brabantia", "1075 Helina", "3947 Swedenborg", "27736 Ekaterinburg", "6574 Gvishiani", "1987 Kaplan", "32811 Apisaon", "26 Proserpina", "5330 Senrikyu", "6894 Macreid", "3191 Svanetia", "220 Stephania", "3736 Rokoske", "9240 Nassau", "754 Malabar", "11933 Himuka", "4500 Pascal", "260 Huberta", "1870 Glaukos", "2436 Hatshepsut", "6530 Adry", "1467 Mashona", "6882 Sormano", "1392 Pierre", "3766 Junepatterson", "2259 Sofievka", "444 Gyptis", "4752 Myron", "4804 Pasteur", "1497 Tampere", "8835 Annona", "12443 Paulsydney", "5996 Julioangel", "23 Thalia", "3622 Ilinsky", "6424 Ando", "1114 Lorraine", "1406 Komppa", "3259 Brownlee", "2515 Gansu", "2541 Edebono", "4791 Iphidamas", "106 Dione", "1319 Disa", "4602 Heudier", "4676 Uedaseiji", "10227 Izanami", "1329 Eliane", "4745 Nancymarie", "2191 Uppsala", "10043 Janegann", "5591 Koyo", "6590 Barolo", "1188 Gothlandia", "1801 Titicaca", "2566 Kirghizia", "4999 MPC", "9609 Ponomarevalya", "12657 Bonch-Bruevich", "3491 Fridolin", "5704 Schumacher", "2785 Sedov", "2903 Zhuhai", "3431 Nakano", "5940 Feliksobolev", "490 Veritas", "5304 Bazhenov", "1116 Catriona", "1242 Zambesia", "2701 Cherson", "4758 Hermitage", "7650 Kaname", "2378 Pannekoek", "5523 Luminet", "1448 Lindbladia", "1816 Liberia", "6326 Idamiyoshi", "2078 Nanking", "1364 Safara", "1911 Schubart", "1681 Steinmetz", "1424 Sundmania", "1692 Subbotina", "5170 Sissons", "98 Ianthe", "4577 Chikako", "2344 Xizang", "2863 Ben Mayer", "31824 Elatus", "314 Rosalia", "(24835) 1995 SM55", "2038 Bistro", "13249 Marcallen", "3219 Komaki", "4973 Showa", "5922 Shouichi", "4000 Hipparchus", "5778 Jurafrance", "2358 Bahner", "4683 Veratar", "6723 Chrisclark", "450 Brigitta", "7857 Lagerros", "3182 Shimanto", "42403 Andraimon", "1397 Umtata", "4647 Syuji", "1598 Paloque", "4405 Otava", "4193 Salanave", "5436 Eumelos", "3721 Widorn", "6036 Weinberg", "1087 Arabis", "3717 Thorenia", "5670 Rosstaylor", "452 Hamiltonia", "2122 Pyatiletka", "14274 Landstreet", "(308933) 2006 SQ372", "5113 Kohno", "1671 Chaika", "20898 Fountainhills", "3214 Makarenko", "286 Iclea", "4358 Lynn", "4642 Murchie", "5972 Harryatkinson", "5495 Rumyantsev", "1756 Giacobini", "2626 Belnika", "2124 Nissen", "2624 Samitchell", "2222 Lermontov", "2263 Shaanxi", "79360 Sila–Nunam", "5247 Krylov", "6546 Kaye", "453 Tea", "7895 Kaseda", "6338 Isaosato", "3696 Herald", "2245 Hekatostos", "3422 Reid", "2489 Suvorov", "2052 Tamriko", "349 Dembowska", "2747 Český Krumlov", "1628 Strobel", "12104 Chesley", "4848 Tutenchamun", "2271 Kiso", "7965 Katsuhiko", "5193 Tanakawataru", "12753 Povenmire", "9096 Tamotsu", "3120 Dangrania", "7198 Montelupo", "5404 Uemura", "5459 Saraburger", "6880 Hayamiyu", "1618 Dawn", "6079 Gerokurat", "7496 Miroslavholub", "18278 Drymas", "414 Liriope", "(307261) 2002 MS4", "204 Kallisto", "3786 Yamada", "20000 Varuna", "1187 Afra", "3037 Alku", "1948 Kampala", "4707 Khryses", "3871 Reiz", "8060 Anius", "8593 Angustirostris", "3441 Pochaina", "2013 Tucapel", "253 Mathilde", "2861 Lambrecht", "(55638) 2002 VE95", "1613 Smiley", "4347 Reger", "1343 Nicole", "1197 Rhodesia", "2774 Tenojoki", "1249 Rutherfordia", "434 Hungaria", "126 Velleda", "1373 Cincinnati", "3759 Piironen", "270 Anahita", "16449 Kigoyama", "704 Interamnia", "5651 Traversa", "153 Hilda", "4101 Ruikou", "1026 Ingrid", "6383 Tokushima", "2169 Taiwan", "2142 Landau", "5628 Preussen", "1488 Aura", "5101 Akhmerov", "136 Austria", "255 Oppavia", "4963 Kanroku", "168 Sibylla", "(55637) 2002 UX25", "1693 Hertzsprung", "3420 Standish", "21558 Alisonliu", "4782 Gembloux", "4537 Valgrirasp", "2244 Tesla", "197 Arete", "2781 Kleczek", "2387 Xi'an", "7046 Reshetnev", "4203 Brucato", "4612 Greenstein", "4607 Seilandfarm", "4867 Polites", "5024 Bechmann", "3694 Sharon", "6462 Myougi", "2105 Gudy", "1968 Mehltretter", "17314 Aisakos", "52872 Okyrhoe", "1079 Mimosa", "5492 Thoma", "1659 Punkaharju", "1143 Odysseus", "3567 Alvema", "6337 Shiota", "382 Dodona", "4588 Wislicenus", "(26308) 1998 SM165", "1066 Lobelia", "1754 Cunningham", "2615 Saito", "201 Penelope", "511 Davida", "144 Vibilia", "2404 Antarctica", "1525 Savonlinna", "1838 Ursa", "21652 Vasishtha", "1326 Losaka", "5505 Rundetårn", "5006 Teller", "4797 Ako", "1996 Adams", "4967 Glia", "34993 Euaimon", "1333 Cevenola", "3505 Byrd", "7443 Tsumura", "515 Athalia", "5517 Johnerogers", "40 Harmonia", "1914 Hartbeespoortdam", "1742 Schaifers", "1199 Geldonia", "415 Palatia", "26761 Stromboli", "1889 Pakhmutova", "6650 Morimoto", "4615 Zinner", "113 Amalthea", "1372 Haremari", "426 Hippo", "1900 Katyusha", "30704 Phegeus", "1926 Demiddelaer", "1194 Aletta", "4609 Pizarro", "1244 Deira", "4484 Sif", "3511 Tsvetaeva", "22870 Rosing", "1350 Rosselia", "2791 Paradise", "3325 TARDIS", "8375 Kenzokohno", "1068 Nofretete", "2905 Plaskett", "3117 Niepce", "2666 Gramme", "18059 Cavalieri", "768 Struveana", "3779 Kieffer", "5685 Sanenobufukui", "3088 Jinxiuzhonghua", "5401 Minamioda", "19 Fortuna", "3967 Shekhtelia", "3799 Novgorod", "4820 Fay", "1477 Bonsdorffia", "365 Corduba", "24587 Kapaneus", "655 Briseïs", "8087 Kazutaka", "4460 Bihoro", "1651 Behrens", "4293 Masumi", "4813 Terebizh", "4399 Ashizuri", "3925 Tret'yakov", "5081 Sanguin", "3650 Kunming", "3693 Barringer", "(9970) 1992 ST1", "8317 Eurysaces", "1443 Ruppina", "212 Medea", "3550 Link", "2928 Epstein", "1246 Chaka", "4955 Gold", "22227 Polyxenos", "78 Diana", "1533 Saimaa", "6998 Tithonus", "5295 Masayo", "4672 Takuboku", "2483 Guinevere", "10293 Pribina", "3542 Tanjiazhen", "2197 Shanghai", "2301 Whitford", "3430 Bradfield", "2443 Tomeileen", "3090 Tjossem", "6024 Ochanomizu", "123 Brunhild", "2832 Lada", "320 Katharina", "1674 Groeneveld", "3171 Wangshouguan", "2147 Kharadze", "3844 Lujiaxi", "7233 Majella", "1929 Kollaa", "2801 Huygens", "289 Nenetta", "199 Byblis", "4079 Britten", "2412 Wil", "5122 Mucha", "4834 Thoas", "6287 Lenham", "2634 James Bradley", "3195 Fedchenko", "3687 Dzus", "7994 Bethellen", "1378 Leonce", "1874 Kacivelia", "4998 Kabashima", "222 Lucia", "4509 Gorbatskij", "1325 Inanda", "2022 West", "2587 Gardner", "1379 Lomonosowa", "7592 Takinemachi", "2732 Witt", "5489 Oberkochen", "1498 Lahti", "3829 Gunma", "12766 Paschen", "2094 Magnitka", "2765 Dinant", "1183 Jutta", "3376 Armandhammer", "352 Gisela", "2249 Yamamoto", "4808 Ballaero", "1605 Milankovitch", "3557 Sokolsky", "2045 Peking", "(120132) 2003 FY128", "2375 Radek", "2956 Yeomans", "1871 Astyanax", "2688 Halley", "60558 Echeclus", "3662 Dezhnev", "5144 Achates", "301 Bavaria", "(26375) 1999 DE9", "1539 Borrelly", "660 Crescentia", "22199 Klonios", "4164 Shilov", "2687 Tortali", "1354 Botha", "8906 Yano", "1189 Terentia", "3453 Dostoevsky", "437 Rhodia", "3495 Colchagua", "2297 Daghestan", "1780 Kippes", "15 Eunomia", "2757 Crisser", "5314 Wilkickia", "2377 Shcheglov", "2468 Repin", "6953 Davepierce", "16915 Bredthauer", "1560 Strattonia", "1106 Cydonia", "3329 Golay", "3198 Wallonia", "3508 Pasternak", "5817 Robertfrazer", "6979 Shigefumi", "6511 Furmanov", "15651 Tlepolemos", "6006 Anaximandros", "378 Holmia", "2116 Mtskheta", "2005 Hencke", "3660 Lazarev", "2232 Altaj", "6188 Robertpepin", "4866 Badillo", "392 Wilhelmina", "Makemake", "1434 Margot", "8104 Kumamori", "4893 Seitter", "2724 Orlov", "3614 Tumilty", "1403 Idelsonia", "488 Kreusa", "5360 Rozhdestvenskij", "10143 Kamogawa", "2993 Wendy", "1663 van den Bos", "7811 Zhaojiuzhang", "2346 Lilio", "432 Pythia", "4074 Sharkov", "10222 Klotz", "4105 Tsia", "6400 Georgealexander", "1731 Smuts", "3157 Novikov", "5815 Shinsengumi", "1882 Rauma", "1775 Zimmerwald", "7066 Nessus", "4186 Tamashima", "3407 Jimmysimms", "2948 Amosov", "3522 Becker", "2827 Vellamo", "3418 Izvekov", "6778 Tosamakoto", "1611 Beyer", "3852 Glennford", "2879 Shimizu", "69 Hesperia", "264 Libussa", "1280 Baillauda", "581 Tauntonia", "4754 Panthoos", "1843 Jarmila", "472 Roma", "1760 Sandra", "3339 Treshnikov", "7158 IRTF", "1858 Lobachevsk", "13488 Savanov", "3898 Curlewis", "13915 Yalow", "3322 Lidiya", "9936 Al-Biruni", "3460 Ashkova", "2236 Austrasia", "33800 Gross", "11949 Kagayayutaka", "2523 Ryba", "5240 Kwasan", "442 Eichsfeldia", "6628 Dondelia", "1596 Itzigsohn", "2959 Scholl", "2205 Glinka", "5567 Durisen", "1232 Cortusa", "1784 Benguella", "4049 Noragal'", "258 Tyche", "10353 Momotaro", "2589 Daniel", "420 Bertholda", "5403 Takachiho", "4366 Venikagan", "2145 Blaauw", "7887 Bratfest", "10664 Phemios", "4485 Radonezhskij", "3985 Raybatson", "4043 Perolof", "418 Alemannia", "31020 Skarupa", "3904 Honda", "25302 Niim", "5140 Kida", "2040 Chalonge", "4224 Susa", "3154 Grant", "13096 Tigris", "3780 Maury", "3025 Higson", "340 Eduarda", "132 Aethra", "176 Iduna", "1410 Margret", "3526 Jeffbell", "4260 Yanai", "3425 Hurukawa", "516 Amherstia", "2877 Likhachev", "1654 Bojeva", "1646 Rosseland", "5919 Patrickmartin", "2325 Chernykh", "782 Montefiore", "4004 List'ev", "Ceres", "5254 Ulysses", "250 Bettina", "1612 Hirose", "4409 Kissling", "2836 Sobolev", "5855 Yukitsuna", "6422 Akagi", "8431 Haseda", "3894 Williamcooke", "3599 Basov", "5570 Kirsan", "4187 Shulnazaria", "2528 Mohler", "64 Angelina", "1589 Fanatica", "3232 Brest", "1349 Bechuana", "4870 Shcherban'", "2328 Robeson", "5208 Royer", "2834 Christy Carol", "1260 Walhalla", "3957 Sugie", "5014 Gorchakov", "4958 Wellnitz", "5071 Schoenmaker", "1792 Reni", "1585 Union", "10148 Shirase", "27922 Mascheroni", "3358 Anikushin", "290 Bruna", "2510 Shandong", "4292 Aoba", "6931 Kenzaburo", "134 Sophrosyne", "251 Sophia", "762 Pulcova", "4263 Abashiri", "421 Zähringia", "1444 Pannonia", "2448 Sholokhov", "4106 Nada", "48373 Gorgythion", "4506 Hendrie", "4259 McCoy", "2771 Polzunov", "2659 Millis", "4512 Sinuhe", "377 Campania", "2569 Madeline", "3243 Skytel", "3935 Toatenmongakkai", "4127 Kyogoku", "9694 Lycomedes", "116 Sirona", "5947 Bonnie", "5638 Deikoon", "1774 Kulikov", "422 Berolina", "3141 Buchar", "4827 Dares", "3246 Bidstrup", "363 Padua", "4522 Britastra", "21555 Levary", "2417 McVittie", "4166 Pontryagin", "2458 Veniakaverin", "2722 Abalakin", "Remus", "11251 Icarion", "354 Eleonora", "(91133) 1998 HK151", "6980 Kyusakamoto", "2660 Wasserman", "591 Irmgard", "451 Patientia", "368 Haidea", "2475 Semenov", "63 Ausonia", "3440 Stampfer", "944 Hidalgo", "10007 Malytheatre", "13860 Neely", "5128 Wakabayashi", "324 Bamberga", "202 Chryseïs", "2802 Weisell", "2109 Dhotel", "4770 Lane", "4560 Klyuchevskij", "2822 Sacajawea", "1609 Brenda", "4327 Ries", "2203 van Rhijn", "1077 Campanula", "233 Asterope", "1276 Ucclia", "5881 Akashi", "4571 Grumiaux", "319 Leona", "4768 Hartley", "3140 Stellafane", "2173 Maresjev", "1336 Zeelandia", "240 Vanadis", "1274 Delportia", "2032 Ethel", "226 Weringia", "5354 Hisayo", "3485 Barucci", "1426 Riviera", "1490 Limpopo", "4061 Martelli", "6419 Susono", "7483 Sekitakakazu", "2530 Shipka", "(15875) 1996 TP66", "245 Vera", "2041 Lancelot", "2544 Gubarev", "2986 Mrinalini", "6678 Seurat", "5944 Utesov", "2379 Heiskanen", "2323 Zverev", "1893 Jakoba", "2151 Hadwiger", "8941 Junsaito", "3311 Podobed", "6464 Kaburaki", "4831 Baldwin", "1323 Tugela", "8564 Anomalocaris", "2373 Immo", "3034 Climenhaga", "1338 Duponta", "3118 Claytonsmith", "5139 Rumoi", "1603 Neva", "1302 Werra", "1250 Galanthus", "4498 Shinkoyama", "7143 Haramura", "3250 Martebo", "1431 Luanda", "6321 Namuratakao", "14789 GAISH", "3876 Quaide", "4845 Tsubetsu", "1703 Barry", "284 Amalia", "12444 Prothoon", "1440 Rostia", "1124 Stroobantia", "4568 Menkaure", "292 Ludovica", "3152 Jones", "2964 Jaschek", "7815 Dolon", "145 Adeona", "1520 Imatra", "4530 Smoluchowski", "1348 Michel", "5532 Ichinohe", "14 Irene", "2847 Parvati", "4905 Hiromi", "2085 Henan", "4102 Gergana", "3116 Goodricke", "238 Hypatia", "1708 Pólit", "5244 Amphilochos", "2702 Batrakov", "4748 Tokiwagozen", "1452 Hunnia", "5361 Goncharov", "5136 Baggaley", "3125 Hay", "593 Titania", "7905 Juzoitami", "1241 Dysona", "1564 Srbija", "2891 McGetchin", "835 Olivia", "332 Siri", "1707 Chantal", "563 Suleika", "61 Danaë", "6039 Parmenides", "4826 Wilhelms", "5471 Tunguska", "6576 Kievtech", "1174 Marmara", "4380 Geyer", "1485 Isa", "92 Undina", "3803 Tuchkova", "2089 Cetacea", "3631 Sigyn", "1881 Shao", "2864 Soderblom", "5637 Gyas", "3965 Konopleva", "2046 Leningrad", "3264 Bounty", "296 Phaëtusa", "5176 Yoichi", "13018 Geoffjames", "291 Alice", "230 Athamantis", "3109 Machin", "24 Themis", "4291 Kodaihasu", "4474 Proust", "2713 Luxembourg", "2654 Ristenpart", "5059 Saroma", "48300 Kronk", "5838 Hamsun", "1234 Elyna", "277 Elvira", "3395 Jitka", "1394 Algoa", "5084 Gnedin", "2217 Eltigen", "206 Hersilia", "867 Kovacia", "3617 Eicher", "5413 Smyslov", "2469 Tadjikistan", "65489 Ceto", "3365 Recogne", "2230 Yunnan", "10426 Charlierouse", "87 Sylvia", "2384 Schulhof", "2685 Masursky", "13181 Peneleos", "14206 Sehnal", "15663 Periphas", "331 Etheridgea", "6839 Ozenuma", "3556 Lixiaohua", "1200 Imperatrix", "2372 Proskurin", "3767 DiMaggio", "239 Adrastea", "3750 Ilizarov", "2618 Coonabarabran", "4174 Pikulia", "1471 Tornio", "4719 Burnaby", "1231 Auricula", "4195 Esambaev", "2465 Wilson", "1668 Hanna", "1084 Tamariwa", "5256 Farquhar", "3054 Strugatskia", "476 Hedwig", "1946 Walraven", "8551 Daitarabochi", "4540 Oriani", "1061 Paeonia", "5446 Heyler", "5687 Yamamotoshinobu", "6532 Scarfe", "1389 Onnie", "7616 Sadako", "7763 Crabeels", "6465 Zvezdotchet", "3438 Inarradas", "2585 Irpedina", "4301 Boyden", "1601 Patry", "2248 Kanda", "7549 Woodard", "5886 Rutger", "1670 Minnaert", "5609 Stroncone", "5219 Zemka", "454 Mathesis", "1694 Kaiser", "2353 Alva", "1633 Chimay", "2878 Panacea", "1662 Hoffmann", "3099 Hergenrother", "1233 Kobresia", "5794 Irmina", "4163 Saaremaa", "1317 Silvretta", "208 Lacrimosa", "5976 Kalatajean", "99 Dike", "117 Lomia", "19081 Mravinskij", "737 Arequipa", "3066 McFadden", "1213 Algeria", "18871 Grauer", "6000 United Nations", "15092 Beegees", "3194 Dorsey", "1890 Konoshenkova", "2741 Valdivia", "417 Suevia", "4078 Polakis", "1725 CrAO", "10370 Hylonome", "1637 Swings", "232 Russia", "3564 Talthybius", "5055 Opekushin", "11429 Demodokus", "4423 Golden", "1312 Vassar", "(184212) 2004 PB112", "5035 Swift", "2144 Marietta", "604 Tekmessa", "4350 Shibecha", "1429 Pemba", "1673 van Houten", "3016 Meuse", "6402 Holstein", "3313 Mendel", "11249 Etna", "1826 Miller", "6362 Tunis", "1631 Kopff", "10637 Heimlich", "37 Fides", "3342 Fivesparks", "Linus", "4448 Phildavis", "2646 Abetti", "5337 Aoki", "1119 Euboea", "6570 Tomohiro", "9142 Rhesus", "720 Bohlinia", "3345 Tarkovskij", "104 Klymene", "19034 Santorini", "4554 Fanynka", "6905 Miyazaki", "15258 Alfilipenko", "4412 Chephren", "1479 Inkeri", "10388 Zhuguangya", "5104 Skripnichenko", "4308 Magarach", "1089 Tama", "6975 Hiroaki", "221 Eos", "317 Roxane", "2254 Requiem", "5715 Kramer", "1463 Nordenmarkia", "4107 Rufino", "(47171) 1999 TC36", "4914 Pardina", "5284 Orsilocus", "311 Claudia", "5771 Somerville", "3561 Devine", "10316 Williamturner", "2831 Stevin", "5259 Epeigeus", "4115 Peternorton", "2382 Nonie", "1090 Sumida", "192 Nausikaa", "5623 Iwamori", "218 Bianca", "7320 Potter", "3389 Sinzot", "5539 Limporyen", "2053 Nuki", "2534 Houzeau", "7035 Gomi", "1909 Alekhin", "3923 Radzievskij", "2006 Polonskaya", "2670 Chuvashia", "1091 Spiraea", "1993 Guacolda", "1423 Jose", "1806 Derice", "1562 Gondolatsch", "2193 Jackson", "10199 Chariklo", "1581 Abanderada", "3142 Kilopi", "1110 Jaroslawa", "1584 Fuji", "8712 Suzuko", "18228 Hyperenor", "7636 Comba", "5068 Cragg", "2767 Takenouchi", "2015 Kachuevskaya", "857 Glasenappia", "1626 Sadeya", "2995 Taratuta", "2215 Sichuan", "7305 Ossakajusto", "6830 Johnbackus", "4880 Tovstonogov", "1755 Lorbach", "3979 Brorsen", "1758 Naantali", "3816 Chugainov", "3899 Wichterle", "1352 Wawel", "7797 Morita", "111 Ate", "2066 Palala", "2237 Melnikov", "4499 Davidallen", "8405 Asbolus", "8889 Mockturtle", "2264 Sabrina", "9817 Thersander", "274 Philagoria", "36 Atalante", "2354 Lavrov", "3788 Steyaert", "1787 Chiny", "3315 Chant", "213 Lilaea", "2293 Guernica", "1484 Postrema", "3641 Williams Bay", "13772 Livius", "4250 Perun", "2752 Wu Chien-Shiung", "5027 Androgeos", "26821 Baehr", "1262 Sniadeckia", "5696 Ibsen", "1080 Orchis", "1912 Anubis", "3914 Kotogahama", "4891 Blaga", "318 Magdalena", "4244 Zakharchenko", "1215 Boyer", "3274 Maillen", "7544 Tipografiyanauka", "1265 Schweikarda", "6057 Robbia", "741 Botolphia", "23382 Epistrophos", "2763 Jeans", "6356 Tairov", "6156 Dall", "1791 Patsayev", "3664 Anneres", "3254 Bus", "2341 Aoluta", "2657 Bashkiria", "4135 Svetlanov", "1993 RP", "1835 Gajdariya", "1465 Autonoma", "1698 Christophe", "2311 El Leoncito", "1062 Ljuba", "338 Budrosa", "4130 Ramanujan", "830 Petropolitana", "32 Pomona", "103 Hera", "5603 Rausudake", "2466 Golson", "4528 Berg", "5831 Dizzy", "1251 Hedera", "1102 Pepita", "1269 Rollandia", "6357 Glushko", "2708 Burns", "1699 Honkasalo", "1854 Skvortsov", "2833 Radishchev", "4718 Araki", "5928 Pindarus", "19913 Aigyptios", "4054 Turnov", "1220 Crocus", "5146 Moiwa", "17855 Geffert", "3215 Lapko", "159 Aemilia", "3055 Annapavlova", "10938 Lorenzalevy", "3709 Polypoites", "326 Tamara", "13365 Tenzinyama", "1386 Storeria", "4833 Meges", "58096 Oineus", "8294 Takayuki", "2911 Miahelena", "215 Oenone", "5029 Ireland", "3620 Platonov", "10262 Samoilov", "1825 Klare", "4002 Shinagawa", "1954 Kukarkin", "59 Elpis", "3186 Manuilova", "8125 Tyndareus", "(42301) 2001 UR163", "1800 Aguilar", "438 Zeuxo", "16528 Terakado", "21587 Christopynn", "7359 Messier", "6374 Beslan", "7543 Prylis", "5192 Yabuki", "3294 Carlvesely", "1999 LE31", "7278 Shtokolov", "423 Diotima", "4349 Tibúrcio", "4975 Dohmoto", "225 Henrietta", "1473 Ounas", "7728 Giblin", "4389 Durbin", "5711 Eneev", "8130 Seeberg", "3426 Seki", "1113 Katja", "7602 Yidaeam", "2699 Kalinin", "1076 Viola", "5106 Mortensen", "384 Burdigala", "6355 Univermoscow", "5840 Raybrown", "449 Hamburga", "1264 Letaba", "5013 Suzhousanzhong", "2917 Sawyer Hogg", "5329 Decaro", "5772 Johnlambert", "12972 Eumaios", "1311 Knopfia", "5805 Glasgow", "3523 Arina", "10142 Sakka", "2683 Brian", "4286 Rubtsov", "2506 Pirogov", "485 Genua", "1734 Zhongolovich", "396 Aeolia", "6390 Hirabayashi", "1063 Aquilegia", "10886 Mitsuroohba", "1855 Korolev", "2093 Genichesk", "1360 Tarka", "4471 Graculus", "3860 Plovdiv", "16157 Toastmasters", "12003 Hideosugai", "166 Rhodope", "2816 Pien", "14669 Beletic", "2576 Yesenin", "3811 Karma", "3167 Babcock", "279 Thule", "10811 Lau", "26355 Grueber", "665 Sabine", "13184 Augeias", "3976 Lise", "10 Hygiea", "8962 Noctua", "4056 Timwarner", "3094 Chukokkala", "404 Arsinoë", "6722 Bunichi", "2570 Porphyro", "984 Gretia", "9449 Petrbondy", "4050 Mebailey", "9828 Antimachos", "1770 Schlesinger", "7322 Lavrentina", "3324 Avsyuk", "1524 Joensuu", "4940 Polenov", "4169 Celsius", "249 Ilse", "3950 Yoshida", "1442 Corvina", "2308 Schilt", "6302 Tengukogen", "4140 Branham", "5399 Awa", "50 Virginia", "2655 Guangxi", "1099 Figneria", "1284 Latvia", "322 Phaeo", "5306 Fangfen", "4009 Drobyshevskij", "6560 Pravdo", "13684 Borbona", "872 Holda", "6937 Valadon", "1263 Varsavia", "276 Adelheid", "38 Leda", "2157 Ashbrook", "6166 Univsima", "4091 Lowe", "7468 Anfimov", "4343 Tetsuya", "4462 Vaughan", "5825 Rakuyou", "18 Melpomene", "3372 Bratijchuk", "3510 Veeder", "2163 Korczak", "2601 Bologna", "8498 Ufa", "131 Vala" ], "function": "<=", "commonness": -12.763596851037466, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.star_system_body", "class": "astronomy.star_system_body", "friendly_name": "Star system body", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12.629^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "12.629", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "astronomy.star_system_body.absolute_magnitude", "friendly_name": "Absolute magnitude" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :astronomy.star_system_body . \nFILTER (?x1 <= 12.629)\n?x0 :astronomy.star_system_body.absolute_magnitude ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 134000200, "question": "with absolute magnitude no more than 12.629, list exoplanets.", "answer": [ "4060 Deipylos", "1403 Idelsonia", "201 Penelope", "2646 Abetti", "1612 Hirose", "4831 Baldwin", "9154 Kol'tsovo", "2377 Shcheglov", "2104 Toronto", "2306 Bauschinger", "9430 Erichthonios", "12649 Ascanios", "1618 Dawn", "581 Tauntonia", "3345 Tarkovskij", "1266 Tone", "3568 ASCII", "(126154) 2001 YH140", "3638 Davis", "2660 Wasserman", "4071 Rostovdon", "5146 Moiwa", "3761 Romanskaya", "3861 Lorenz", "1464 Armisticia", "3445 Pinson", "4973 Showa", "1063 Aquilegia", "9297 Marchuk", "3548 Eurybates", "1251 Hedera", "1795 Woltjer", "8133 Takanochoei", "4967 Glia", "1638 Ruanda", "3622 Ilinsky", "5314 Wilkickia", "5775 Inuyama", "3575 Anyuta", "1537 Transylvania", "12753 Povenmire", "25302 Niim", "2430 Bruce Helin", "1331 Solvejg", "1284 Latvia", "5824 Inagaki", "11911 Angel", "4523 MIT", "3313 Mendel", "15417 Babylon", "148 Gallia", "13389 Stacey", "3768 Monroe", "2713 Luxembourg", "2796 Kron", "3816 Chugainov", "2173 Maresjev", "6166 Univsima", "1626 Sadeya", "5070 Arai", "4950 House", "6031 Ryokan", "2468 Repin", "(145451) 2005 RM43", "1686 De Sitter", "3039 Yangel", "1292 Luce", "2774 Tenojoki", "6655 Nagahama", "16439 Yamehoshinokawa", "1277 Dolores", "2903 Zhuhai", "3678 Mongmanwai", "3557 Sokolsky", "1208 Troilus", "1182 Ilona", "4174 Pikulia", "6094 Hisako", "4821 Bianucci", "175 Andromache", "5483 Cherkashin", "3156 Ellington", "6104 Takao", "1320 Impala", "4100 Sumiko", "2847 Parvati", "5484 Inoda", "1499 Pori", "3442 Yashin", "3197 Weissman", "3420 Standish", "2520 Novorossijsk", "5709 Tamyeunleung", "430 Hybris", "3439 Lebofsky", "9092 Nanyang", "3901 Nanjingdaxue", "1209 Pumma", "2134 Dennispalm", "5825 Rakuyou", "6075 Zajtsev", "2193 Jackson", "5104 Skripnichenko", "2747 Český Krumlov", "5083 Irinara", "4848 Tutenchamun", "2008 Konstitutsiya", "3248 Farinella", "106 Dione", "1074 Beljawskya", "5255 Johnsophie", "5219 Zemka", "2573 Hannu Olavi", "2673 Lossignol", "6340 Kathmandu", "53311 Deucalion", "152 Atala", "(182294) 2001 KU76", "1276 Ucclia", "1118 Hanskya", "378 Holmia", "5147 Maruyama", "14274 Landstreet", "1738 Oosterhoff", "31020 Skarupa", "3120 Dangrania", "1784 Benguella", "305 Gordonia", "(42301) 2001 UR163", "16358 Plesetsk", "1690 Mayrhofer", "3186 Manuilova", "7763 Crabeels", "2225 Serkowski", "6371 Heinlein", "1671 Chaika", "3380 Awaji", "1954 Kukarkin", "5809 Kulibin", "5833 Peterson", "1352 Wawel", "18745 San Pedro", "1444 Pannonia", "3405 Daiwensai", "43 Ariadne", "4763 Ride", "3227 Hasegawa", "1845 Helewalda", "2505 Hebei", "13365 Tenzinyama", "7270 Punkin", "4138 Kalchas", "1907 Rudneva", "3066 McFadden", "13229 Echion", "31 Euphrosyne", "128 Nemesis", "1410 Margret", "5306 Fangfen", "5794 Irmina", "1122 Neith", "4896 Tomoegozen", "4405 Otava", "23383 Schedios", "6462 Myougi", "(145452) 2005 RN43", "2587 Gardner", "3176 Paolicchi", "3617 Eicher", "9449 Petrbondy", "8189 Naruke", "1910 Mikhailov", "7217 Dacke", "2993 Wendy", "1353 Maartje", "2456 Palamedes", "7887 Bratfest", "3021 Lucubratio", "246 Asporina", "1993 RP", "1783 Albitskij", "3125 Hay", "1322 Coppernicus", "294 Felicia", "6424 Ando", "394 Arduina", "1551 Argelander", "289 Nenetta", "3945 Gerasimenko", "3262 Miune", "14669 Beletic", "2236 Austrasia", "190 Ismene", "3155 Lee", "1389 Onnie", "973 Aralia", "1417 Walinskia", "30 Urania", "321 Florentina", "2302 Florya", "3581 Alvarez", "18268 Dardanos", "6953 Davepierce", "2001 QF298", "1611 Beyer", "6590 Barolo", "4558 Janesick", "4902 Thessandrus", "2725 David Bender", "7857 Lagerros", "259 Aletheia", "(91133) 1998 HK151", "4529 Webern", "4751 Alicemanning", "10262 Samoilov", "2308 Schilt", "372 Palma", "4571 Grumiaux", "5931 Zhvanetskij", "2373 Immo", "3208 Lunn", "6129 Demokritos", "8431 Haseda", "5805 Glasgow", "952 Caia", "2986 Mrinalini", "3937 Bretagnon", "1945 Wesselink", "226 Weringia", "4402 Tsunemori", "13010 Germantitov", "4208 Kiselev", "6359 Dubinin", "2109 Dhotel", "1409 Isko", "(144897) 2004 UX10", "6373 Stern", "328 Gudrun", "8721 AMOS", "21652 Vasishtha", "99 Dike", "513 Centesima", "1680 Per Brahe", "349 Dembowska", "2996 Bowman", "5403 Takachiho", "18871 Grauer", "3598 Saucier", "4182 Mount Locke", "2562 Chaliapin", "7551 Edstolper", "2928 Epstein", "224 Oceana", "552 Sigelinde", "4124 Herriot", "7320 Potter", "4449 Sobinov", "4863 Yasutani", "1786 Raahe", "2220 Hicks", "1075 Helina", "1097 Vicia", "396 Aeolia", "3171 Wangshouguan", "1707 Chantal", "4513 Louvre", "12868 Onken", "75 Eurydike", "110 Lydia", "1477 Bonsdorffia", "4316 Babinkova", "3089 Oujianquan", "2802 Weisell", "(303775) 2005 QU182", "9633 Cotur", "6984 Lewiscarroll", "5130 Ilioneus", "402 Chloë", "6459 Hidesan", "4014 Heizman", "2349 Kurchenko", "8573 Ivanka", "155 Scylla", "1447 Utra", "4916 Brumberg", "73 Klytia", "1383 Limburgia", "446 Aeternitas", "1390 Abastumani", "4644 Oumu", "336 Lacadiera", "1450 Raimonda", "8 Flora", "2502 Nummela", "13915 Yalow", "2574 Ladoga", "3932 Edshay", "1101 Clematis", "5222 Ioffe", "2214 Carol", "5145 Pholus", "3161 Beadell", "852 Wladilena", "2850 Mozhaiskij", "1621 Druzhba", "4389 Durbin", "105 Artemis", "400 Ducrosa", "485 Genua", "3406 Omsk", "4840 Otaynang", "5523 Luminet", "2600 Lumme", "450 Brigitta", "2567 Elba", "6220 Stepanmakarov", "10711 Pskov", "5142 Okutama", "853 Nansenia", "2765 Dinant", "3322 Lidiya", "4624 Stefani", "7233 Majella", "6475 Refugium", "295 Theresia", "593 Titania", "4540 Oriani", "1937 Locarno", "1069 Planckia", "2169 Taiwan", "22 Kalliope", "5182 Bray", "10227 Izanami", "1267 Geertruida", "83 Beatrix", "2218 Wotho", "7027 Toshihanda", "16154 Dabramo", "1665 Gaby", "5374 Hokutosei", "4485 Radonezhskij", "1578 Kirkwood", "5221 Fabribudweis", "4903 Ichikawa", "169 Zelia", "6644 Jugaku", "1200 Imperatrix", "5 Astraea", "1570 Brunonia", "3830 Trelleborg", "2465 Wilson", "10583 Kanetugu", "8934 Nishimurajun", "1291 Phryne", "589 Croatia", "183 Istria", "3499 Hoppe", "4085 Weir", "1384 Kniertje", "425 Cornelia", "1836 Komarov", "125 Liberatrix", "3776 Vartiovuori", "2550 Houssay", "1851 Lacroute", "5330 Senrikyu", "1528 Conrada", "395 Delia", "4357 Korinthos", "1214 Richilde", "7775 Taiko", "11147 Delmas", "3823 Yorii", "2767 Takenouchi", "(87269) 2000 OO67", "1679 Nevanlinna", "2005 CB79", "1646 Rosseland", "4290 Heisei", "4381 Uenohara", "6169 Sashakrot", "1939 Loretta", "10664 Phemios", "261 Prymno", "5256 Farquhar", "4560 Klyuchevskij", "6832 Kawabata", "9033 Kawane", "2594 Acamas", "435 Ella", "2396 Kochi", "7037 Davidlean", "579 Sidonia", "391 Ingeborg", "12583 Buckjean", "260 Huberta", "296 Phaëtusa", "1691 Oort", "1096 Reunerta", "406 Erna", "5532 Ichinohe", "2428 Kamenyar", "434 Hungaria", "7766 Jododaira", "6925 Susumu", "136 Austria", "4345 Rachmaninoff", "24587 Kapaneus", "1995 GJ", "95 Arethusa", "4074 Sharkov", "8048 Andrle", "5445 Williwaw", "2458 Veniakaverin", "8321 Akim", "412 Elisabetha", "30698 Hippokoon", "(19308) 1996 TO66", "3296 Bosque Alegre", "617 Patroclus", "5594 Jimmiller", "2463 Sterpin", "6880 Hayamiyu", "4602 Heudier", "3871 Reiz", "3391 Sinon", "2917 Sawyer Hogg", "6730 Ikeda", "3223 Forsius", "6398 Timhunter", "3261 Tvardovskij", "5670 Rosstaylor", "3399 Kobzon", "1220 Crocus", "6910 Ikeguchi", "4672 Takuboku", "8317 Eurysaces", "6392 Takashimizuno", "1401 Lavonne", "3911 Otomo", "3793 Leonteus", "15499 Cloyd", "2089 Cetacea", "2338 Bokhan", "7965 Katsuhiko", "2382 Nonie", "4962 Vecherka", "225 Henrietta", "4754 Panthoos", "3713 Pieters", "5715 Kramer", "153 Hilda", "10637 Heimlich", "3028 Zhangguoxi", "14338 Shibakoukan", "2292 Seili", "2956 Yeomans", "3310 Patsy", "1998 WW31", "737 Arequipa", "4891 Blaga", "21128 Chapuis", "4730 Xingmingzhou", "5176 Yoichi", "1076 Viola", "3367 Alex", "13181 Peneleos", "2369 Chekhov", "2239 Paracelsus", "4438 Sykes", "13441 Janmerlin", "3041 Webb", "1207 Ostenia", "15663 Periphas", "2378 Pannekoek", "1082 Pirola", "6321 Namuratakao", "9612 Belgorod", "4856 Seaborg", "2551 Decabrina", "2856 Röser", "11249 Etna", "6576 Kievtech", "2246 Bowell", "8660 Sano", "4101 Ruikou", "34 Circe", "237 Coelestina", "2631 Zhejiang", "13093 Wolfgangpauli", "4528 Berg", "274 Philagoria", "4679 Sybil", "702 Alauda", "1263 Varsavia", "2381 Landi", "2270 Yazhi", "1659 Punkaharju", "1902 Shaposhnikov", "4175 Billbaum", "(145480) 2005 TB190", "453 Tea", "230 Athamantis", "11251 Icarion", "4832 Palinurus", "4308 Magarach", "6770 Fugate", "1255 Schilowa", "1189 Terentia", "1890 Konoshenkova", "6997 Laomedon", "1426 Riviera", "3407 Jimmysimms", "6656 Yokota", "4285 Hulkower", "1385 Gelria", "1458 Mineura", "2453 Wabash", "11151 Oodaigahara", "1491 Balduinus", "4110 Keats", "10888 Yamatano-orochi", "5081 Sanguin", "241 Germania", "442 Eichsfeldia", "1518 Rovaniemi", "9090 Chirotenmondai", "5759 Zoshchenko", "4243 Nankivell", "4135 Svetlanov", "2715 Mielikki", "2356 Hirons", "15231 Ehdita", "1002 Olbersia", "2144 Marietta", "3252 Johnny", "1719 Jens", "3962 Valyaev", "1893 Jakoba", "1572 Posnania", "2147 Kharadze", "6302 Tengukogen", "2679 Kittisvaara", "6518 Vernon", "18059 Cavalieri", "4454 Kumiko", "3372 Bratijchuk", "1756 Giacobini", "3649 Guillermina", "7928 Bijaoui", "5817 Robertfrazer", "123 Brunhild", "5247 Krylov", "8150 Kaluga", "3127 Bagration", "2741 Valdivia", "13 Egeria", "4870 Shcherban'", "2729 Urumqi", "4931 Tomsk", "2494 Inge", "8340 Mumma", "2304 Slavia", "271 Penthesilea", "8941 Junsaito", "5354 Hisayo", "3981 Stodola", "11020 Orwell", "3254 Bus", "14342 Iglika", "1875 Neruda", "2718 Handley", "6071 Sakitama", "2415 Ganesa", "32532 Thereus", "21 Lutetia", "5157 Hindemith", "2157 Ashbrook", "13488 Savanov", "3832 Shapiro", "12 Victoria", "2461 Clavel", "6024 Ochanomizu", "7278 Shtokolov", "57 Mnemosyne", "10938 Lorenzalevy", "1482 Sebastiana", "4516 Pugovkin", "7359 Messier", "5185 Alerossi", "4106 Nada", "14424 Laval", "1087 Arabis", "9544 Scottbirney", "2475 Semenov", "5151 Weerstra", "1735 ITA", "2959 Scholl", "29 Amphitrite", "300 Geraldina", "3930 Vasilev", "3709 Polypoites", "11321 Tosimatumoto", "6423 Harunasan", "5972 Harryatkinson", "3432 Kobuchizawa", "4223 Shikoku", "441 Bathilde", "3240 Laocoon", "1888 Zu Chong-Zhi", "2905 Plaskett", "1024 Hale", "4893 Seitter", "22227 Polyxenos", "1274 Delportia", "4158 Santini", "8814 Rosseven", "6710 Apostel", "1625 The NORC", "1642 Hill", "4166 Pontryagin", "4609 Pizarro", "4748 Tokiwagozen", "389 Industria", "3071 Nesterov", "238 Hypatia", "1483 Hakoila", "3024 Hainan", "3151 Talbot", "3241 Yeshuhua", "2124 Nissen", "8915 Sawaishujiro", "6894 Macreid", "438 Zeuxo", "6199 Yoshiokayayoi", "2035 Stearns", "3596 Meriones", "(52747) 1998 HM151", "4112 Hrabal", "5839 GOI", "4395 Danbritt", "3746 Heyuan", "5320 Lisbeth", "(15875) 1996 TP66", "4151 Alanhale", "2324 Janice", "3007 Reaves", "2054 Gawain", "3556 Lixiaohua", "476 Hedwig", "21587 Christopynn", "6385 Martindavid", "2525 O'Steen", "4084 Hollis", "4187 Shulnazaria", "1868 Thersites", "2330 Ontake", "5149 Leibniz", "2301 Whitford", "5411 Liia", "7066 Nessus", "234 Barbara", "1254 Erfordia", "3852 Glennford", "4746 Doi", "2797 Teucer", "2918 Salazar", "3766 Junepatterson", "4829 Sergestus", "1361 Leuschneria", "2683 Brian", "1891 Gondola", "3425 Hurukawa", "14315 Ogawamachi", "5461 Autumn", "467 Laura", "8062 Okhotsymskij", "3525 Paul", "2880 Nihondaira", "5446 Heyler", "5576 Albanese", "2068 Dangreen", "3819 Robinson", "1338 Duponta", "31824 Elatus", "2015 Kachuevskaya", "1107 Lictoria", "2320 Blarney", "9175 Graun", "172 Baucis", "6996 Alvensleben", "10265 Gunnarsson", "1699 Honkasalo", "(84719) 2002 VR128", "5468 Hamatonbetsu", "403 Cyane", "3032 Evans", "481 Emita", "1504 Lappeenranta", "210 Isabella", "2184 Fujian", "7728 Giblin", "312 Pierretta", "872 Holda", "3608 Kataev", "1521 Seinäjoki", "267 Tirza", "2510 Shandong", "7811 Zhaojiuzhang", "4521 Akimov", "3540 Protesilaos", "7549 Woodard", "1438 Wendeline", "6052 Junichi", "298 Baptistina", "187 Lamberta", "1294 Antwerpia", "2002 Euler", "171 Ophelia", "285 Regina", "2627 Churyumov", "588 Achilles", "2963 Chen Jiageng", "2498 Tsesevich", "773 Irmintraud", "1736 Floirac", "164 Eva", "3207 Spinrad", "2492 Kutuzov", "287 Nephthys", "6931 Kenzaburo", "3522 Becker", "7192 Cieletespace", "4509 Gorbatskij", "3935 Toatenmongakkai", "5120 Bitias", "1264 Letaba", "3924 Birch", "511 Davida", "7206 Shiki", "1337 Gerarda", "3222 Liller", "7353 Kazuya", "2455 Somville", "4603 Bertaud", "4808 Ballaero", "4367 Meech", "538 Friederike", "4511 Rembrandt", "1866 Sisyphus", "2372 Proskurin", "7756 Scientia", "2692 Chkalov", "4797 Ako", "173 Ino", "2027 Shen Guo", "5088 Tancredi", "3305 Ceadams", "(86047) 1999 OY3", "5170 Sissons", "6088 Hoshigakubo", "4768 Hartley", "1252 Celestia", "2771 Polzunov", "2001 QR322", "3158 Anga", "3198 Wallonia", "894 Erda", "339 Dorothea", "3194 Dorsey", "4853 Marielukac", "2 Pallas", "154 Bertha", "373 Melusina", "6778 Tosamakoto", "9023 Mnesthus", "384 Burdigala", "10582 Harumi", "14664 Vandervelden", "1487 Boda", "5132 Maynard", "7581 Yudovich", "6422 Akagi", "6345 Hideo", "1432 Ethiopia", "92 Undina", "4230 van den Bergh", "4575 Broman", "6839 Ozenuma", "(20161) 1996 TR66", "1206 Numerowia", "1057 Wanda", "4499 Davidallen", "5489 Oberkochen", "4577 Chikako", "5470 Kurtlindstrom", "7446 Hadrianus", "1106 Cydonia", "3597 Kakkuri", "6959 Mikkelkocha", "1524 Joensuu", "227 Philosophia", "32811 Apisaon", "4677 Hiroshi", "4696 Arpigny", "5134 Ebilson", "6464 Kaburaki", "6607 Matsushima", "2222 Lermontov", "1440 Rostia", "4969 Lawrence", "6821 Ranevskaya", "15621 Erikhovland", "6143 Pythagoras", "2695 Christabel", "3329 Golay", "1673 van Houten", "2122 Pyatiletka", "4164 Shilov", "239 Adrastea", "2708 Burns", "1463 Nordenmarkia", "1635 Bohrmann", "3457 Arnenordheim", "(55636) 2002 TX300", "18114 Rosenbush", "6420 Riheijyaya", "248 Lameia", "5613 Donskoj", "2819 Ensor", "1318 Nerina", "3148 Grechko", "76 Freia", "3606 Pohjola", "6628 Dondelia", "27 Euterpe", "1601 Patry", "3376 Armandhammer", "2237 Melnikov", "1581 Abanderada", "1793 Zoya", "2615 Saito", "863 Benkoela", "6784 Bogatikov", "36 Atalante", "398 Admete", "5033 Mistral", "3044 Saltykov", "1056 Azalea", "6532 Scarfe", "26821 Baehr", "516 Amherstia", "2893 Peiroos", "2004 XR190", "1329 Eliane", "3580 Avery", "11004 Stenmark", "6150 Neukum", "1081 Reseda", "192 Nausikaa", "6990 Toya", "322 Phaeo", "7650 Kaname", "1583 Antilochus", "223 Rosa", "5465 Chumakov", "8066 Poldimeri", "9859 Van Lierde", "1828 Kashirina", "4195 Esambaev", "5947 Bonnie", "5215 Tsurui", "10148 Shirase", "(3708) 1974 FV1", "1529 Oterma", "5041 Theotes", "1249 Rutherfordia", "1830 Pogson", "779 Nina", "7143 Haramura", "8551 Daitarabochi", "4827 Dares", "2995 Taratuta", "170 Maria", "2137 Priscilla", "28 Bellona", "3689 Yeates", "6606 Makino", "1595 Tanga", "8538 Gammelmaja", "16144 Korsten", "1650 Heckmann", "1085 Amaryllis", "1495 Helsinki", "5140 Kida", "762 Pulcova", "5117 Mokotoyama", "1880 McCrosky", "2471 Ultrajectum", "2007 JH43", "1758 Naantali", "4453 Bornholm", "5955 Khromchenko", "280 Philia", "6309 Elsschot", "342 Endymion", "3801 Thrasymedes", "3779 Kieffer", "2259 Sofievka", "393 Lampetia", "2560 Siegma", "6546 Kaye", "1062 Ljuba", "2319 Aristides", "2466 Golson", "9670 Magni", "5492 Thoma", "3116 Goodricke", "3242 Bakhchisaraj", "3504 Kholshevnikov", "1418 Fayeta", "3843 OISCA", "2425 Shenzhen", "3567 Alvema", "18365 Shimomoto", "1025 Riema", "16157 Toastmasters", "3915 Fukushima", "6155 Yokosugano", "2569 Madeline", "1841 Masaryk", "2728 Yatskiv", "1725 CrAO", "4930 Rephiltim", "26057 Ankaios", "256 Walpurga", "16 Psyche", "3623 Chaplin", "2877 Likhachev", "265 Anna", "343 Ostara", "3431 Nakano", "2506 Pirogov", "59 Elpis", "1393 Sofala", "1030 Vitja", "4244 Zakharchenko", "1174 Marmara", "3661 Dolmatovskij", "4712 Iwaizumi", "3423 Slouka", "1854 Skvortsov", "1246 Chaka", "140 Siwa", "1000 Piazzia", "1489 Attila", "4588 Wislicenus", "1113 Katja", "4557 Mika", "377 Campania", "66652 Borasisi", "345 Tercidina", "6472 Rosema", "2003 LA7", "4351 Nobuhisa", "5161 Wightman", "4981 Sinyavskaya", "1533 Saimaa", "1619 Ueta", "2105 Gudy", "3319 Kibi", "4702 Berounka", "2197 Shanghai", "1857 Parchomenko", "4313 Bouchet", "809 Lundia", "3246 Bidstrup", "1557 Roehla", "3232 Brest", "4813 Terebizh", "4131 Stasik", "2043 Ortutay", "11787 Baumanka", "3721 Widorn", "1540 Kevola", "3055 Annapavlova", "2904 Millman", "4466 Abai", "3126 Davydov", "4645 Tentaikojo", "(225088) 2007 OR10", "1815 Beethoven", "2293 Guernica", "326 Tamara", "5144 Achates", "276 Adelheid", "4642 Murchie", "49036 Pelion", "3804 Drunina", "1867 Deiphobus", "9817 Thersander", "2555 Thomas", "7905 Juzoitami", "4628 Laplace", "4343 Tetsuya", "1089 Tama", "2822 Sacajawea", "2167 Erin", "1186 Turnera", "2732 Witt", "16035 Sasandford", "1173 Anchises", "12973 Melanthios", "3641 Williams Bay", "8036 Maehara", "4050 Mebailey", "3645 Fabini", "4250 Perun", "4059 Balder", "24 Themis", "5831 Dizzy", "5289 Niemela", "5303 Parijskij", "6068 Brandenburg", "3731 Hancock", "9694 Lycomedes", "309 Fraternitas", "2111 Tselina", "3383 Koyama", "2837 Griboedov", "214 Aschera", "1386 Storeria", "1819 Laputa", "5962 Shikokutenkyo", "3339 Treshnikov", "3987 Wujek", "4407 Taihaku", "26 Proserpina", "3019 Kulin", "2005 TN74", "2323 Zverev", "3717 Thorenia", "1508 Kemi", "2346 Lilio", "11202 Teddunham", "6364 Casarini", "4350 Shibecha", "113 Amalthea", "37 Fides", "3995 Sakaino", "3614 Tumilty", "610 Valeska", "8181 Rossini", "399 Persephone", "4013 Ogiria", "2948 Amosov", "1078 Mentha", "330 Adalberta", "2353 Alva", "4346 Whitney", "2395 Aho", "5457 Queen's", "2404 Antarctica", "11509 Thersilochos", "2215 Sichuan", "58 Concordia", "4999 MPC", "3430 Bradfield", "68 Leto", "2958 Arpetito", "4892 Chrispollas", "7592 Takinemachi", "2681 Ostrovskij", "4041 Miyamotoyohko", "15147 Siegfried", "1734 Zhongolovich", "(145453) 2005 RR43", "3977 Maxine", "10025 Rauer", "4201 Orosz", "3297 Hong Kong", "3482 Lesnaya", "6827 Wombat", "1462 Zamenhof", "2103 Laverna", "2636 Lassell", "5032 Conradhirsh", "1655 Comas Solà", "1102 Pepita", "2787 Tovarishch", "1985 Hopmann", "9845 Okamuraosamu", "2238 Steshenko", "3791 Marci", "3285 Ruth Wolfe", "5957 Irina", "5329 Decaro", "27922 Mascheroni", "5471 Tunguska", "1860 Barbarossa", "7061 Pieri", "8593 Angustirostris", "6191 Eades", "1952 Hesburgh", "4057 Demophon", "26858 Misterrogers", "8041 Masumoto", "8128 Nicomachus", "2979 Murmansk", "1559 Kustaanheimo", "17 Thetis", "8410 Hiroakiohno", "4874 Burke", "176 Iduna", "4673 Bortle", "6639 Marchis", "360 Carlova", "216 Kleopatra", "13808 Davewilliams", "7378 Herbertpalme", "1382 Gerti", "1842 Hynek", "12104 Chesley", "104 Klymene", "2493 Elmer", "3140 Stellafane", "4325 Guest", "1315 Bronislawa", "1693 Hertzsprung", "2132 Zhukov", "2655 Guangxi", "3896 Pordenone", "2612 Kathryn", "13860 Neely", "233 Asterope", "926 Imhilde", "5284 Orsilocus", "3874 Stuart", "297 Caecilia", "3045 Alois", "5885 Apeldoorn", "4975 Dohmoto", "1115 Sabauda", "2592 Hunan", "4052 Crovisier", "347 Pariana", "5662 Wendycalvin", "13684 Borbona", "2696 Magion", "26763 Peirithoos", "Romulus", "2407 Haug", "2653 Principia", "22177 Saotome", "97 Klotho", "9828 Antimachos", "3215 Lapko", "8057 Hofmannsthal", "3772 Piaf", "2391 Tomita", "1825 Klare", "11943 Davidhartley", "126 Velleda", "3049 Kuzbass", "67 Asia", "449 Hamburga", "3347 Konstantin", "2452 Lyot", "4782 Gembloux", "8380 Tooting", "88 Thisbe", "2451 Dollfus", "5416 Estremadoyro", "5213 Takahashi", "32 Pomona", "8250 Cornell", "8560 Tsubaki", "1176 Lucidor", "11949 Kagayayutaka", "5281 Lindstrom", "10811 Lau", "4347 Reger", "6 Hebe", "1901 Moravia", "5404 Uemura", "4063 Euforbo", "4718 Araki", "1239 Queteleta", "310 Margarita", "5547 Acadiau", "2566 Kirghizia", "2025 Nortia", "1749 Telamon", "168 Sibylla", "2740 Tsoj", "3860 Plovdiv", "18278 Drymas", "44 Nysa", "6998 Tithonus", "2066 Palala", "4418 Fredfranklin", "1419 Danzig", "3357 Tolstikov", "3195 Fedchenko", "16528 Terakado", "12052 Aretaon", "151 Abundantia", "2245 Hekatostos", "4103 Chahine", "4153 Roburnham", "2004 VN112", "1745 Ferguson", "4714 Toyohiro", "3687 Dzus", "Linus", "5274 Degewij", "13185 Agasthenes", "217 Eudora", "4873 Fukaya", "411 Xanthe", "5495 Rumyantsev", "3025 Higson", "2342 Lebedev", "1071 Brita", "3495 Colchagua", "6975 Hiroaki", "15651 Tlepolemos", "4004 List'ev", "11668 Balios", "1548 Palomaa", "2234 Schmadel", "6794 Masuisakura", "4539 Miyagino", "3846 Hazel", "1804 Chebotarev", "5079 Brubeck", "1275 Cimbria", "2421 Nininger", "5511 Cloanthus", "5711 Eneev", "2622 Bolzano", "197 Arete", "3957 Sugie", "2964 Jaschek", "1838 Ursa", "346 Hermentaria", "4215 Kamo", "3903 Kliment Ohridski", "2370 van Altena", "1395 Aribeda", "33 Polyhymnia", "7628 Evgenifedorov", "14989 Tutte", "1629 Pecker", "1191 Alfaterna", "2209 Tianjin", "5435 Kameoka", "341 California", "10 Hygiea", "4804 Pasteur", "3885 Bogorodskij", "817 Annika", "103 Hera", "5360 Rozhdestvenskij", "4498 Shinkoyama", "8125 Tyndareus", "101 Helena", "1571 Cesco", "7469 Krikalev", "1662 Hoffmann", "4007 Euryalos", "3675 Kemstach", "471 Papagena", "2057 Rosemary", "6237 Chikushi", "4167 Riemann", "2578 Saint-Exupéry", "1077 Campanula", "(119068) 2001 KC77", "2262 Mitidika", "2181 Fogelin", "3280 Grétry", "3243 Skytel", "1437 Diomedes", "303 Josephina", "139 Juewa", "12238 Actor", "381 Myrrha", "6372 Walker", "4619 Polyakhova", "87 Sylvia", "4358 Lynn", "26761 Stromboli", "4805 Asteropaios", "10143 Kamogawa", "5632 Ingelehmann", "306 Unitas", "18228 Hyperenor", "7636 Comba", "2180 Marjaleena", "3950 Yoshida", "8712 Suzuko", "10727 Akitsushima", "10386 Romulus", "(26375) 1999 DE9", "5704 Schumacher", "14420 Massey", "1238 Predappia", "10217 Richardcook", "2908 Shimoyama", "317 Roxane", "132 Aethra", "3786 Yamada", "4792 Lykaon", "2616 Lesya", "3447 Burckhalter", "1555 Dejan", "3616 Glazunov", "1562 Gondolatsch", "2400 Derevskaya", "2159 Kukkamäki", "3542 Tanjiazhen", "1808 Bellerophon", "4424 Arkhipova", "9423 Abt", "3143 Genecampbell", "704 Interamnia", "5996 Julioangel", "1587 Kahrstedt", "3787 Aivazovskij", "3358 Anikushin", "4535 Adamcarolla", "5361 Goncharov", "12742 Delisle", "325 Heidelberga", "3965 Konopleva", "1428 Mombasa", "3080 Moisseiev", "1754 Cunningham", "2439 Ulugbek", "1260 Walhalla", "12211 Arnoschmidt", "(79983) 1999 DF9", "3154 Grant", "2890 Vilyujsk", "3913 Chemin", "4096 Kushiro", "1723 Klemola", "1262 Sniadeckia", "74 Galatea", "1999 Hirayama", "4911 Rosenzweig", "2311 El Leoncito", "4077 Asuka", "2595 Gudiachvili", "177 Irma", "383 Janina", "2852 Declercq", "4422 Jarre", "13387 Irus", "4210 Isobelthompson", "3730 Hurban", "6830 Johnbackus", "2208 Pushkin", "8564 Anomalocaris", "1359 Prieska", "392 Wilhelmina", "6560 Pravdo", "19913 Aigyptios", "421 Zähringia", "5771 Somerville", "2920 Automedon", "1204 Renzia", "7607 Billmerline", "1510 Charlois", "117 Lomia", "760 Massinga", "(85627) 1998 HP151", "1241 Dysona", "3729 Yangzhou", "3584 Aisha", "1692 Subbotina", "4176 Sudek", "8962 Noctua", "2244 Tesla", "334 Chicago", "1660 Wood", "13739 Nancyworden", "1349 Bechuana", "501 Urhixidur", "9549 Akplatonov", "4770 Lane", "2563 Boyarchuk", "5249 Giza", "337 Devosa", "2186 Keldysh", "6247 Amanogawa", "5183 Robyn", "138 Tolosa", "4711 Kathy", "10654 Bontekoe", "4349 Tibúrcio", "10222 Klotz", "11887 Echemmon", "1425 Tuorla", "2095 Parsifal", "7718 Desnoux", "1312 Vassar", "6355 Univermoscow", "5285 Krethon", "2312 Duboshin", "2041 Lancelot", "365 Corduba", "2726 Kotelnikov", "(24835) 1995 SM55", "4542 Mossotti", "6124 Mecklenburg", "625 Xenia", "29555 MACEK", "2911 Miahelena", "24701 Elyu-Ene", "252 Clementina", "2645 Daphne Plane", "32569 Deming", "7583 Rosegger", "2879 Shimizu", "3976 Lise", "19081 Mravinskij", "2060 Chiron", "6604 Ilias", "286 Iclea", "4471 Graculus", "6036 Weinberg", "2141 Simferopol", "20000 Varuna", "4725 Milone", "46 Hestia", "1556 Wingolfia", "79 Eurynome", "3182 Shimanto", "463 Lola", "1398 Donnera", "4203 Brucato", "2634 James Bradley", "5454 Kojiki", "7182 Robinvaughan", "5244 Amphilochos", "9083 Ramboehm", "5337 Aoki", "5129 Groom", "9067 Katsuno", "2517 Orma", "1232 Cortusa", "2274 Ehrsson", "4836 Medon", "4222 Nancita", "7124 Glinos", "4073 Ruianzhongxue", "5571 Lesliegreen", "215 Oenone", "7468 Anfimov", "18263 Anchialos", "2618 Coonabarabran", "313 Chaldaea", "5071 Schoenmaker", "741 Botolphia", "7616 Sadako", "4846 Tuthmosis", "1927 Suvanto", "3088 Jinxiuzhonghua", "1870 Glaukos", "2939 Coconino", "191 Kolga", "3647 Dermott", "944 Hidalgo", "1674 Groeneveld", "1084 Tamariwa", "7366 Agata", "2194 Arpola", "5136 Baggaley", "7530 Mizusawa", "118 Peitho", "2589 Daniel", "5067 Occidental", "4940 Polenov", "80 Sappho", "3655 Eupraksia", "1829 Dawson", "4119 Miles", "273 Atropos", "(9970) 1992 ST1", "3325 TARDIS", "4366 Venikagan", "17184 Carlrogers", "1311 Knopfia", "(308933) 2006 SQ372", "6645 Arcetri", "3290 Azabu", "8295 Toshifukushima", "1397 Umtata", "409 Aspasia", "6445 Bellmore", "7167 Laupheim", "2290 Helffrich", "1117 Reginita", "2067 Aksnes", "5497 Sararussell", "984 Gretia", "5447 Lallement", "6374 Beslan", "7110 Johnpearse", "2291 Kevo", "85 Io", "5036 Tuttle", "2901 Bagehot", "10199 Chariklo", "4127 Kyogoku", "11514 Tsunenaga", "5296 Friedrich", "61 Danaë", "4365 Ivanova", "4234 Evtushenko", "5198 Fongyunwah", "1840 Hus", "1415 Malautra", "12291 Gohnaumann", "3990 Heimdal", "23030 Jimkennedy", "1381 Danubia", "407 Arachne", "4420 Alandreev", "3164 Prast", "5017 Tenchi", "3311 Podobed", "1119 Euboea", "368 Haidea", "196 Philomela", "1651 Behrens", "316 Goberta", "(55638) 2002 VE95", "4156 Okadanaboru", "7429 Hoshikawa", "3662 Dezhnev", "1058 Grubba", "71 Niobe", "2763 Jeans", "1668 Hanna", "3012 Minsk", "1877 Marsden", "2603 Taylor", "4075 Sviridov", "2115 Irakli", "4003 Schumann", "(136120) 2003 LG7", "4293 Masumi", "157 Dejanira", "1506 Xosa", "3479 Malaparte", "10653 Witsen", "2255 Qinghai", "375 Ursula", "2145 Blaauw", "Makemake", "3259 Brownlee", "13096 Tigris", "10007 Malytheatre", "1961 Dufour", "5155 Denisyuk", "3829 Gunma", "14612 Irtish", "5628 Preussen", "(120132) 2003 FY128", "6241 Galante", "1103 Sequoia", "14902 Miyairi", "6260 Kelsey", "4399 Ashizuri", "3523 Arina", "1801 Titicaca", "1996 Adams", "8145 Valujki", "515 Athalia", "3460 Ashkova", "1567 Alikoski", "4286 Rubtsov", "1772 Gagarin", "5696 Ibsen", "21602 Ialmenus", "2647 Sova", "2526 Alisary", "4959 Niinoama", "3516 Rusheva", "2985 Shakespeare", "6463 Isoda", "2801 Huygens", "4963 Kanroku", "1502 Arenda", "12242 Koon", "3615 Safronov", "2474 Ruby", "1225 Ariane", "4752 Myron", "6989 Hoshinosato", "3550 Link", "10331 Peterbluhm", "2611 Boyce", "20 Massalia", "520 Franziska", "7596 Yumi", "1348 Michel", "10353 Momotaro", "4410 Kamuimintara", "3061 Cook", "3820 Sauval", "5167 Joeharms", "7314 Pevsner", "329 Svea", "6174 Polybius", "6572 Carson", "1330 Spiridonia", "129 Antigone", "3303 Merta", "3214 Makarenko", "9 Metis", "5199 Dortmund", "3418 Izvekov", "351 Yrsa", "6574 Gvishiani", "10672 Kostyukova", "2226 Cunitza", "54 Alexandra", "1606 Jekhovsky", "3767 DiMaggio", "4140 Branham", "3958 Komendantov", "5520 Natori", "189 Phthia", "204 Kallisto", "7198 Montelupo", "5800 Pollock", "111P/Helin–Roman–Crockett", "2172 Plavsk", "4592 Alkissia", "3983 Sakiko", "15939 Fessenden", "1321 Majuba", "5162 Piemonte", "616 Elly", "419 Aurelia", "6500 Kodaira", "2557 Putnam", "2153 Akiyama", "5187 Domon", "(120348) 2004 TY364", "278 Paulina", "8747 Asahi", "7394 Xanthomalitia", "3877 Braes", "13123 Tyson", "8400 Tomizo", "8175 Boerhaave", "7494 Xiwanggongcheng", "7536 Fahrenheit", "7331 Balindblad", "5609 Stroncone", "2333 Porthan", "5316 Filatov", "91 Aegina", "253 Mathilde", "4665 Muinonen", "235 Carolina", "4880 Tovstonogov", "184 Dejopeja", "4952 Kibeshigemaro", "5798 Burnett", "3129 Bonestell", "292 Ludovica", "7392 Kowalski", "7142 Spinoza", "32720 Simoeisios", "2310 Olshaniya", "5542 Moffatt", "14446 Kinkowan", "1918 Aiguillon", "3090 Tjossem", "1231 Auricula", "5474 Gingasen", "5385 Kamenka", "2205 Glinka", "1217 Maximiliana", "1406 Komppa", "1366 Piccolo", "33800 Gross", "754 Malabar", "114 Kassandra", "1911 Schubart", "1803 Zwicky", "5290 Langevin", "85030 Admetos", "1775 Zimmerwald", "2832 Lada", "2326 Tololo", "39 Laetitia", "3294 Carlvesely", "8374 Horohata", "21062 Iasky", "5971 Tickell", "429 Lotis", "3273 Drukar", "1847 Stobbe", "2524 Budovicium", "2365 Interkosmos", "1792 Reni", "4379 Snelling", "3750 Ilizarov", "2401 Aehlita", "427 Galene", "6000 United Nations", "1066 Lobelia", "2791 Paradise", "3702 Trubetskaya", "7305 Ossakajusto", "3396 Muazzez", "2686 Linda Susan", "182 Elsa", "4946 Askalaphus", "3788 Steyaert", "8059 Deliyannis", "44P/Reinmuth", "5439 Couturier", "2014 Vasilevskis", "2884 Reddish", "7322 Lavrentina", "1929 Kollaa", "3426 Seki", "2878 Panacea", "3785 Kitami", "249 Ilse", "2008 KV42", "55702 Thymoitos", "9240 Nassau", "1261 Legia", "1286 Banachiewicza", "970 Primula", "4717 Kaneko", "21555 Levary", "7815 Dolon", "733 Mocia", "174 Phaedra", "4421 Kayor", "7269 Alprokhorov", "8204 Takabatake", "12561 Howard", "12352 Jepejacobsen", "2585 Irpedina", "348 May", "3618 Kuprin", "472 Roma", "2413 van de Hulst", "2541 Edebono", "5637 Gyas", "4865 Sor", "4369 Seifert", "2749 Walterhorn", "3026 Sarastro", "62 Erato", "2507 Bobone", "5024 Bechmann", "5919 Patrickmartin", "7210 Darius", "1400 Tirela", "624 Hektor", "5940 Feliksobolev", "6530 Adry", "19 Fortuna", "3922 Heather", "2121 Sevastopol", "1114 Lorraine", "13220 Kashiwagura", "3906 Chao", "3132 Landgraf", "2296 Kugultinov", "20952 Tydeus", "266 Aline", "3947 Swedenborg", "2700 Baikonur", "7152 Euneus", "4845 Tsubetsu", "8375 Kenzokohno", "2020 Ukko", "4045 Lowengrub", "60 Echo", "5338 Michelblanc", "410 Chloris", "1371 Resi", "1363 Herberta", "2117 Danmark", "2007 NC7", "6775 Giorgini", "13475 Orestes", "3894 Williamcooke", "2045 Peking", "5231 Verne", "459 Signe", "16449 Kigoyama", "2951 Perepadin", "236 Honoria", "3099 Hergenrother", "1188 Gothlandia", "2983 Poltava", "302 Clarissa", "4061 Martelli", "1613 Smiley", "6972 Helvetius", "2315 Czechoslovakia", "5923 Liedeke", "2687 Tortali", "1026 Ingrid", "66 Maja", "2004 Lexell", "7145 Linzexu", "244 Sita", "474 Prudentia", "15512 Snyder", "(47171) 1999 TC36", "1343 Nicole", "8330 Fitzroy", "3780 Maury", "2666 Gramme", "4657 Lopez", "5488 Kiyosato", "4500 Pascal", "1811 Bruwer", "10234 Sixtygarden", "2149 Schwambraniya", "1364 Safara", "17351 Pheidippos", "4162 SAF", "385 Ilmatar", "1327 Namaqua", "9117 Aude", "8197 Mizunohiroshi", "2148 Epeios", "2546 Libitina", "4159 Freeman", "6938 Soniaterk", "3264 Bounty", "1970 Sumeria", "4196 Shuya", "4226 Damiaan", "37519 Amphios", "3036 Krat", "2408 Astapovich", "2434 Bateson", "2950 Rousseau", "6338 Isaosato", "134 Sophrosyne", "1116 Catriona", "2188 Orlenok", "188 Menippe", "2743 Chengdu", "3601 Velikhov", "2448 Sholokhov", "4647 Syuji", "483 Seppina", "2476 Andersen", "5886 Rutger", "444 Gyptis", "22870 Rosing", "9829 Murillo", "79360 Sila–Nunam", "1908 Pobeda", "3330 Gantrisch", "488 Kreusa", "159 Aemilia", "1531 Hartmut", "2288 Karolinum", "4141 Nintanlena", "22199 Klonios", "6210 Hyunseop", "4526 Konko", "1669 Dagmar", "4380 Geyer", "8550 Hesiodos", "1989 Tatry", "1688 Wilkens", "5603 Rausudake", "98 Ianthe", "3334 Somov", "17492 Hippasos", "2521 Heidi", "94 Aurora", "(202421) 2005 UQ513", "7308 Hattori", "1183 Jutta", "102 Miriam", "4271 Novosibirsk", "5113 Kohno", "245 Vera", "3961 Arthurcox", "2776 Baikal", "3899 Wichterle", "5006 Teller", "2433 Sootiyo", "3471 Amelin", "1909 Alekhin", "(55637) 2002 UX25", "854 Frostia", "6924 Fukui", "5815 Shinsengumi", "6006 Anaximandros", "65489 Ceto", "1869 Philoctetes", "335 Roberta", "3620 Platonov", "3118 Claytonsmith", "1722 Goffin", "1059 Mussorgskia", "1423 Jose", "8104 Kumamori", "2638 Gadolin", "3170 Dzhanibekov", "2053 Nuki", "63 Ausonia", "14 Irene", "2375 Radek", "320 Katharina", "4474 Proust", "3727 Maxhell", "665 Sabine", "2702 Batrakov", "5192 Yabuki", "367 Amicitia", "2504 Gaviola", "4997 Ksana", "4342 Freud", "428 Monachia", "6079 Gerokurat", "13463 Antiphos", "82 Alkmene", "3346 Gerla", "7158 IRTF", "5502 Brashear", "7 Iris", "2331 Parvulesco", "38628 Huya", "4224 Susa", "2834 Christy Carol", "5074 Goetzoertel", "1912 Anubis", "5572 Bliskunov", "323 Brucia", "3532 Tracie", "13249 Marcallen", "1941 Wild", "186 Celuta", "1575 Winifred", "1269 Rollandia", "(35671) 1998 SN165", "1424 Sundmania", "5959 Shaklan", "1091 Spiraea", "2118 Flagstaff", "3363 Bowen", "318 Magdalena", "2436 Hatshepsut", "1184 Gaea", "3660 Lazarev", "4554 Fanynka", "3219 Komaki", "2249 Yamamoto", "1376 Michelle", "3234 Hergiani", "3545 Gaffey", "6383 Tokushima", "1068 Nofretete", "4889 Praetorius", "30705 Idaios", "124 Alkeste", "1770 Schlesinger", "2649 Oongaq", "(65407) 2002 RP120", "96 Aegle", "4833 Meges", "12444 Prothoon", "4615 Zinner", "4266 Waltari", "1319 Disa", "6030 Zolensky", "13018 Geoffjames", "1064 Aethusa", "1564 Srbija", "3781 Dufek", "1948 Kampala", "1199 Geldonia", "17314 Aisakos", "2386 Nikonov", "2723 Gorshkov", "2271 Kiso", "2717 Tellervo", "4747 Jujo", "2839 Annette", "1448 Lindbladia", "3034 Climenhaga", "5138 Gyoda", "3128 Obruchev", "6697 Celentano", "3341 Hartmann", "2861 Lambrecht", "6072 Hooghoudt", "4301 Boyden", "1771 Makover", "1675 Simonida", "2019 van Albada", "2658 Gingerich", "2046 Leningrad", "8891 Irokawa", "(4035) 1986 WD", "(26308) 1998 SM165", "21586 Pourkaviani", "8813 Leviathan", "52872 Okyrhoe", "5304 Bazhenov", "1774 Kulikov", "1008 La Paz", "7481 San Marcello", "6354 Vangelis", "6650 Morimoto", "3157 Novikov", "15258 Alfilipenko", "356 Liguria", "4460 Bihoro", "2826 Ahti", "5832 Martaprincipe", "4756 Asaramas", "8086 Peterthomas", "1522 Kokkola", "6346 Syukumeguri", "1592 Mathieu", "1965 van de Kamp", "440 Theodora", "5837 Hedin", "2328 Robeson", "12439 Okasaki", "1649 Fabre", "2266 Tchaikovsky", "1826 Miller", "2863 Ben Mayer", "2231 Durrell", "13859 Fredtreasure", "7291 Hyakutake", "4068 Menestheus", "2216 Kerch", "1172 Äneas", "1313 Berna", "3774 Megumi", "8225 Emerson", "7215 Gerhard", "4457 van Gogh", "1596 Itzigsohn", "6838 Okuda", "3167 Babcock", "5780 Lafontaine", "6106 Stoss", "2621 Goto", "1227 Geranium", "1287 Lorcia", "2933 Amber", "4998 Kabashima", "340 Eduarda", "1900 Katyusha", "3422 Reid", "2836 Sobolev", "2669 Shostakovich", "2816 Pien", "604 Tekmessa", "2831 Stevin", "3663 Tisserand", "2697 Albina", "1242 Zambesia", "12766 Paschen", "1250 Galanthus", "5232 Jordaens", "2981 Chagall", "3726 Johnadams", "4683 Veratar", "3734 Waland", "2379 Heiskanen", "2701 Cherson", "232 Russia", "5023 Agapenor", "304 Olga", "229 Adelinda", "1543 Bourgeois", "4258 Ryazanov", "6723 Chrisclark", "2176 Donar", "147 Protogeneia", "3119 Dobronravin", "17855 Geffert", "10306 Pagnol", "4837 Bickerton", "3312 Pedersen", "1196 Sheba", "4584 Akan", "(184212) 2004 PB112", "4635 Rimbaud", "6908 Kunimoto", "1973 Colocolo", "5013 Suzhousanzhong", "5902 Talima", "1067 Lunaria", "251 Sophia", "4719 Burnaby", "2142 Landau", "1617 Alschmitt", "1416 Renauxa", "1805 Dirikis", "(82075) 2000 YW134", "1641 Tana", "55701 Ukalegon", "7754 Gopalan", "(90568) 2004 GV9", "3811 Karma", "1914 Hartbeespoortdam", "4452 Ullacharles", "5881 Akashi", "740 Cantabia", "5122 Mucha", "5816 Potsdam", "2805 Kalle", "5750 Kandatai", "4393 Dawe", "3174 Alcock", "6983 Komatsusakyo", "1878 Hughes", "5458 Aizman", "5367 Sollenberger", "7318 Dyukov", "2650 Elinor", "2230 Yunnan", "563 Suleika", "4685 Karetnikov", "6665 Kagawa", "1434 Margot", "417 Suevia", "2970 Pestalozzi", "1591 Baize", "4867 Polites", "202 Chryseïs", "5840 Raybrown", "3020 Naudts", "1913 Sekanina", "4049 Noragal'", "2394 Nadeev", "11429 Demodokus", "52975 Cyllarus", "6701 Warhol", "78 Diana", "5438 Lorre", "56 Melete", "1334 Lundmarka", "5133 Phillipadams", "7253 Nara", "1281 Jeanne", "1687 Glarona", "11785 Migaic", "2759 Idomeneus", "2860 Pasacentennium", "7083 Kant", "1806 Derice", "1701 Okavango", "4664 Hanner", "1095 Tulipa", "3230 Vampilov", "1715 Salli", "1280 Baillauda", "2092 Sumiana", "20898 Fountainhills", "1525 Savonlinna", "1219 Britta", "3213 Smolensk", "4191 Assesse", "3365 Recogne", "5114 Yezo", "3316 Herzberg", "3665 Fitzgerald", "2685 Masursky", "14316 Higashichichibu", "250 Bettina", "38 Leda", "1813 Imhotep", "4235 Tatishchev", "4961 Timherder", "1512 Oulu", "7543 Prylis", "6287 Lenham", "1226 Golia", "7414 Bosch", "423 Diotima", "7176 Kuniji", "2515 Gansu", "6139 Naomi", "7906 Melanchton", "4078 Polakis", "2040 Chalonge", "1233 Kobresia", "2528 Mohler", "6465 Zvezdotchet", "1599 Giomus", "4102 Gergana", "5900 Jensen", "5565 Ukyounodaibu", "1368 Numidia", "6570 Tomohiro", "1647 Menelaus", "7067 Kiyose", "4292 Aoba", "2677 Joan", "354 Eleonora", "1794 Finsen", "247 Eukrate", "143 Adria", "2752 Wu Chien-Shiung", "1936 Lugano", "6511 Furmanov", "4104 Alu", "1378 Leonce", "5193 Tanakawataru", "10370 Hylonome", "8405 Asbolus", "3700 Geowilliams", "7544 Tipografiyanauka", "4597 Consolmagno", "2108 Otto Schmidt", "5286 Haruomukai", "1283 Komsomolia", "3794 Sthenelos", "473 Nolli", "3747 Belinskij", "892 Seeligeria", "10094 Eijikato", "4904 Makio", "3469 Bulgakov", "5838 Hamsun", "3809 Amici", "205 Martha", "2268 Szmytowna", "835 Olivia", "193 Ambrosia", "3016 Meuse", "127 Johanna", "1213 Algeria", "163 Erigone", "4707 Khryses", "5698 Nolde", "314 Rosalia", "1700 Zvezdara", "2297 Daghestan", "1452 Hunnia", "5595 Roth", "1099 Figneria", "2387 Xi'an", "6042 Cheshirecat", "18 Melpomene", "3844 Lujiaxi", "1777 Gehrels", "1234 Elyna", "1574 Meyer", "2056 Nancy", "1832 Mrkos", "5254 Ulysses", "8000 Isaac Newton", "2260 Neoptolemus", "7290 Johnrather", "358 Apollonia", "3008 Nojiri", "4484 Sif", "1436 Salonta", "3705 Hotellasilla", "2417 McVittie", "4790 Petrpravec", "2938 Hopi", "(15874) 1996 TL66", "4284 Kaho", "4086 Podalirius", "(174567) 2003 MW12", "7035 Gomi", "2760 Kacha", "2248 Kanda", "21557 Daniellitt", "4036 Whitehouse", "7923 Chyba", "5139 Rumoi", "2309 Mr. Spock", "3543 Ningbo", "1247 Memoria", "18156 Kamisaibara", "(24978) 1998 HJ151", "433 Eros", "4826 Wilhelms", "2509 Chukotka", "4522 Britastra", "8804 Eliason", "26984 Fernand-Roland", "2848 ASP", "1882 Rauma", "1193 Africa", "2761 Eddington", "1711 Sandrine", "2793 Valdaj", "5521 Morpurgo", "69 Hesperia", "7496 Miroslavholub", "4194 Sweitzer", "240 Vanadis", "1879 Broederstroom", "1210 Morosovia", "2352 Kurchatov", "7139 Tsubokawa", "14791 Atreus", "1347 Patria", "5106 Mortensen", "2601 Bologna", "4649 Sumoto", "9193 Geoffreycopland", "(15760) 1992 QB1", "6025 Naotosato", "53 Kalypso", "11739 Baton Rouge", "4771 Hayashi", "4506 Hendrie", "14917 Taco", "1598 Paloque", "5406 Jonjoseph", "401 Ottilia", "1553 Bauersfelda", "388 Charybdis", "1215 Boyer", "4348 Poulydamas", "6214 Mikhailgrinev", "6886 Grote", "2898 Neuvo", "10247 Amphiaraos", "2460 Mitlincoln", "490 Veritas", "5128 Wakabayashi", "4236 Lidov", "8234 Nobeoka", "6001 Thales", "2882 Tedesco", "5419 Benua", "1817 Katanga", "7342 Uchinoura", "782 Montefiore", "415 Palatia", "1360 Tarka", "3955 Bruckner", "3887 Gerstner", "1987 Kaplan", "58534 Logos", "255 Oppavia", "1977 Shura", "1624 Rabe", "120 Lachesis", "16466 Piyashiriyama", "2544 Gubarev", "1637 Swings", "1467 Mashona", "1070 Tunica", "3501 Olegiya", "10555 Tagaharue", "2501 Lohja", "4505 Okamura", "7131 Longtom", "17859 Galinaryabova", "1408 Trusanda", "15003 Midori", "5021 Krylania", "1100 Arnica", "6039 Parmenides", "1094 Siberia", "4601 Ludkewycz", "1332 Marconia", "5808 Babel'", "131 Vala", "1497 Tampere", "2678 Aavasaksa", "10259 Osipovyurij", "8537 Billochbull", "1054 Forsytia", "20961 Arkesilaos", "2341 Aoluta", "3317 Paris", "3565 Ojima", "390 Alma", "5890 Carlsberg", "144 Vibilia", "830 Petropolitana", "6553 Seehaus", "6358 Chertok", "5413 Smyslov", "2978 Roudebush", "23318 Salvadorsanchez", "93 Minerva", "1584 Fuji", "6683 Karachentsov", "8060 Anius", "3790 Raywilson", "1835 Gajdariya", "Remus", "3670 Northcott", "2051 Chang", "1670 Minnaert", "2016 Heinemann", "1872 Helenos", "12443 Paulsydney", "2444 Lederle", "2088 Sahlia", "528 Rezia", "3812 Lidaksum", "3828 Hoshino", "45 Eugenia", "10809 Majsterrojr", "5966 Tomeko", "5638 Deikoon", "2354 Lavrov", "1093 Freda", "4709 Ennomos", "10412 Tsukuyomi", "6890 Savinykh", "281 Lucretia", "437 Rhodia", "243 Ida", "2005 Hencke", "3835 Korolenko", "1229 Tilia", "2945 Zanstra", "5772 Johnlambert", "12395 Richnelson", "3686 Antoku", "454 Mathesis", "3436 Ibadinov", "270 Anahita", "1631 Kopff", "4566 Chaokuangpiu", "1848 Delvaux", "13146 Yuriko", "156 Xanthippe", "15427 Shabas", "414 Liriope", "2223 Sarpedon", "7895 Kaseda", "379 Huenna", "1797 Schaumasse", "1282 Utopia", "3907 Kilmartin", "8184 Luderic", "6432 Temirkanov", "387 Aquitania", "195 Eurykleia", "4207 Chernova", "257 Silesia", "1092 Lilium", "1328 Devota", "4860 Gubbio", "72 Feronia", "1429 Pemba", "1678 Hveen", "150 Nuwa", "1036 Ganymed", "2707 Ueferji", "3883 Verbano", "4426 Roerich", "2384 Schulhof", "3202 Graff", "8498 Ufa", "269 Justitia", "5944 Utesov", "2251 Tikhov", "3910 Liszt", "2533 Fechtig", "1753 Mieke", "4058 Cecilgreen", "1855 Korolev", "6955 Ekaterina", "284 Amalia", "2690 Ristiina", "6677 Renoir", "116 Sirona", "15913 Telemachus", "2146 Stentor", "1479 Inkeri", "5623 Iwamori", "5043 Zadornov", "77 Frigga", "4866 Badillo", "5204 Herakleitos", "12562 Briangrazer", "6306 Nishimura", "1411 Brauna", "451 Patientia", "18568 Thuillot", "1369 Ostanina", "2183 Neufang", "1547 Nele", "7770 Siljan", "8889 Mockturtle", "660 Crescentia", "4353 Onizaki", "2303 Retsina", "1590 Tsiolkovskaja", "1968 Mehltretter", "27396 Shuji", "1561 Fricke", "3570 Wuyeesun", "258 Tyche", "65590 Archeptolemos", "4043 Perolof", "3904 Honda", "1791 Patsayev", "1295 Deflotte", "4412 Chephren", "2483 Guinevere", "5778 Jurafrance", "40 Harmonia", "5592 Oshima", "1560 Strattonia", "1532 Inari", "2757 Crisser", "3508 Pasternak", "4107 Rufino", "3368 Duncombe", "38083 Rhadamanthus", "1986 Plaut", "1527 Malmquista", "30704 Phegeus", "3324 Avsyuk", "3650 Kunming", "1248 Jugurtha", "4009 Drobyshevskij", "3631 Sigyn", "4828 Misenus", "2217 Eltigen", "4152 Weber", "1886 Lowell", "3106 Morabito", "6300 Hosamu", "2006 QH181", "404 Arsinoë", "1498 Lahti", "167 Urda", "1816 Liberia", "3621 Curtis", "221 Eos", "5858 Borovitskia", "142 Polana", "4139 Ul'yanin", "19848 Yeungchuchiu", "2336 Xinjiang", "10069 Fontenelle", "3923 Radzievskij", "12972 Eumaios", "23382 Epistrophos", "5928 Pindarus", "6400 Georgealexander", "10426 Charlierouse", "3196 Maklaj", "445 Edna", "4447 Kirov", "380 Fiducia", "2305 King", "1628 Strobel", "1957 Angara", "8443 Svecica", "1488 Aura", "1946 Walraven", "2376 Martynov", "12442 Beltramemass", "13039 Awashima", "6722 Bunichi", "5317 Verolacqua", "2003 QX113", "475 Ocllo", "772 Tanete", "3342 Fivesparks", "83982 Crantor", "3925 Tret'yakov", "630 Euphemia", "4088 Baggesen", "1958 Chandra", "2875 Lagerkvist", "1607 Mavis", "2530 Shipka", "7674 Kasuga", "1443 Ruppina", "1614 Goldschmidt", "11528 Mie", "89 Julia", "1588 Descamisada", "4105 Tsia", "5466 Makibi", "2344 Xizang", "8045 Kamiyama", "1465 Autonoma", "1969 Alain", "4431 Holeungholee", "7499 L'Aquila", "6911 Nancygreen", "6077 Messner", "1457 Ankara", "470 Kilia", "3037 Alku", "5687 Yamamotoshinobu", "443 Photographica", "90 Antiope", "1520 Imatra", "4980 Magomaev", "51 Nemausa", "3189 Penza", "1111 Reinmuthia", "3502 Huangpu", "3544 Borodino", "13436 Enid", "219 Thusnelda", "5436 Eumelos", "8500 Hori", "208 Lacrimosa", "6643 Morikubo", "2742 Gibson", "591 Irmgard", "3511 Tsvetaeva", "6051 Anaximenes", "3001 Michelangelo", "218 Bianca", "3094 Chukokkala", "3449 Abell", "4530 Smoluchowski", "2203 van Rhijn", "12658 Peiraios", "5591 Koyo", "1839 Ragazza", "1372 Haremari", "55576 Amycus", "6136 Gryphon", "4461 Sayama", "1345 Potomac", "275 Sapientia", "2962 Otto", "2151 Hadwiger", "5555 Wimberly", "1549 Mikko", "7119 Hiera", "12214 Miroshnikov", "48300 Kronk", "1258 Sicilia", "2490 Bussolini", "3115 Baily", "6720 Gifu", "416 Vaticana", "370 Modestia", "2969 Mikula", "2332 Kalm", "1644 Rafita", "2835 Ryoma", "1616 Filipoff", "359 Georgia", "213 Lilaea", "5526 Kenzo", "2013 Tucapel", "35 Leukothea", "1110 Jaroslawa", "4958 Wellnitz", "13224 Takamatsuda", "2358 Bahner", "4512 Sinuhe", "542 Susanna", "3509 Sanshui", "6439 Tirol", "2254 Requiem", "1197 Rhodesia", "1211 Bressole", "5090 Wyeth", "468 Lina", "(26181) 1996 GQ21", "5105 Westerhout", "6349 Acapulco", "30724 Peterburgtrista", "1993 RO", "6403 Steverin", "12003 Hideosugai", "4497 Taguchi", "1431 Luanda", "10043 Janegann", "9907 Oileus", "27736 Ekaterinburg", "(248835) 2006 SX368", "48373 Gorgythion", "1884 Skip", "2269 Efremiana", "3704 Gaoshiqi", "1653 Yakhontovia", "1654 Bojeva", "7205 Sadanori", "4716 Urey", "332 Siri", "5459 Saraburger", "2864 Soderblom", "6916 Lewispearce", "268 Adorea", "369 Aëria", "42 Isis", "5661 Hildebrand", "4305 Clapton", "2987 Sarabhai", "16915 Bredthauer", "32726 Chromios", "1998 Titius", "1892 Lucienne", "2232 Altaj", "2078 Nanking", "436 Patricia", "867 Kovacia", "1755 Lorbach", "2576 Yesenin", "1672 Gezelle", "7300 Yoshisada", "5242 Kenreimonin", "1493 Sigrid", "2727 Paton", "49 Pales", "2785 Sedov", "3035 Chambers", "14792 Thyestes", "48 Doris", "22503 Thalpius", "5405 Neverland", "6326 Idamiyoshi", "4352 Kyoto", "8866 Tanegashima", "19034 Santorini", "4745 Nancymarie", "5101 Akhmerov", "333 Badenia", "7528 Huskvarna", "3577 Putilin", "5505 Rundetårn", "1694 Kaiser", "1253 Frisia", "2010 Chebyshev", "3625 Fracastoro", "362 Havnia", "3637 O'Meara", "6971 Omogokei", "1594 Danjon", "1950 Wempe", "5567 Durisen", "115 Thyra", "81 Terpsichore", "1083 Salvia", "5422 Hodgkin", "5039 Rosenkavalier", "5061 McIntosh", "5154 Leonov", "17445 Avatcha", "6419 Susono", "3438 Inarradas", "477 Italia", "1582 Martir", "324 Bamberga", "3992 Wagner", "5714 Krasinsky", "4803 Birkle", "(60608) 2000 EE173", "2534 Houzeau", "6499 Michiko", "8983 Rayakazakova", "5936 Khadzhinov", "12974 Halitherses", "3515 Jindra", "149 Medusa", "6879 Hyogo", "1112 Polonia", "5186 Donalu", "4211 Rosniblett", "3534 Sax", "9818 Eurymachos", "1442 Corvina", "4093 Bennett", "7611 Hashitatsu", "1271 Isergina", "181 Eucharis", "9712 Nauplius", "3664 Anneres", "1484 Postrema", "6188 Robertpepin", "(119070) 2001 KP77", "3308 Ferreri", "5578 Takakura", "3210 Lupishko", "5325 Silver", "1265 Schweikarda", "1088 Mitaka", "15092 Beegees", "1780 Kippes", "3441 Pochaina", "(148209) 2000 CR105", "2499 Brunk", "3694 Sharon", "1787 Chiny", "3444 Stepanian", "10116 Robertfranz", "6193 Manabe", "1999 LE31", "3916 Maeva", "1904 Massevitch", "5692 Shirao", "1698 Christophe", "7692 Edhenderson", "4046 Swain", "8130 Seeberg", "912 Maritima", "13062 Podarkes", "100 Hekate", "2654 Ristenpart", "3369 Freuchen", "2617 Jiangxi", "1963 Bezovec", "7214 Anticlus", "14206 Sehnal", "19521 Chaos", "5570 Kirsan", "1501 Baade", "1712 Angola", "2206 Gabrova", "6937 Valadon", "1664 Felix", "1903 Adzhimushkaj", "3139 Shantou", "2722 Abalakin", "5092 Manara", "2224 Tucson", "664 Judith", "2443 Tomeileen", "3184 Raab", "2000 Herschel", "231 Vindobona", "4326 McNally", "3599 Basov", "3274 Maillen", "353 Ruperto-Carola", "166 Rhodope", "8156 Tsukada", "3178 Yoshitsune", "1080 Orchis", "2138 Swissair", "4569 Baerbel", "5072 Hioki", "3177 Chillicothe", "4344 Buxtehude", "2136 Jugta", "4169 Celsius", "2786 Grinevia", "5035 Swift", "26355 Grueber", "5012 Eurymedon", "1843 Jarmila", "6729 Emiko", "2632 Guizhou", "1079 Mimosa", "3902 Yoritomo", "1373 Cincinnati", "1597 Laugier", "3506 French", "1405 Sibelius", "397 Vienna", "8582 Kazuhisa", "1519 Kajaani", "22203 Prothoenor", "7950 Berezov", "4598 Coradini", "7106 Kondakov", "3109 Machin", "448 Natalie", "1726 Hoffmeister", "1802 Zhang Heng", "10885 Horimasato", "1356 Nyanza", "137 Meliboea", "1228 Scabiosa", "15 Eunomia", "3683 Baumann", "6670 Wallach", "4361 Nezhdanova", "14994 Uppenkamp", "3560 Chenqian", "3564 Talthybius", "3371 Giacconi", "6773 Kellaway", "86 Semele", "15969 Charlesgreen", "1309 Hyperborea", "6249 Jennifer", "3401 Vanphilos", "2659 Millis", "537 Pauly", "2163 Korczak", "3082 Dzhalil", "34993 Euaimon", "11933 Himuka", "8397 Chiakitanaka", "2931 Mayakovsky", "11554 Asios", "6535 Archipenko", "4430 Govorukhin", "5118 Elnapoul", "2892 Filipenko", "2851 Harbin", "1833 Shmakova", "2325 Chernykh", "6869 Funada", "3759 Piironen", "5644 Maureenbell", "1404 Ajax", "10864 Yamagatashi", "1278 Kenya", "293 Brasilia", "6390 Hirabayashi", "5399 Awa", "3712 Kraft", "3150 Tosa", "4687 Brunsandrej", "447 Valentine", "16507 Fuuren", "1663 van den Bos", "2090 Mizuho", "2191 Uppsala", "4955 Gold", "10989 Dolios", "4118 Sveta", "1268 Libya", "2519 Annagerman", "5517 Johnerogers", "2207 Antenor", "1445 Konkolya", "2107 Ilmari", "23 Thalia", "1073 Gellivara", "3468 Urgenta", "5697 Arrhenius", "2731 Cucula", "1290 Albertine", "1061 Paeonia", "858 El Djezaïr", "6366 Rainerwieler", "50 Virginia", "290 Bruna", "7046 Reshetnev", "1732 Heike", "2093 Genichesk", "6719 Gallaj", "2699 Kalinin", "(120178) 2003 OP32", "4122 Ferrari", "3389 Sinzot", "6750 Katgert", "4317 Garibaldi", "64 Angelina", "4914 Pardina", "420 Bertholda", "3491 Fridolin", "1586 Thiele", "4559 Strauss", "29869 Chiarabarbara", "1342 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"1473 Ounas", "5855 Yukitsuna", "1962 Dunant", "2307 Garuda", "1630 Milet", "631 Philippina", "5027 Androgeos", "1605 Milankovitch", "2179 Platzeck", "2152 Hannibal", "1871 Astyanax", "3754 Kathleen", "6866 Kukai", "5852 Nanette", "1302 Werra", "3626 Ohsaki", "3760 Poutanen", "5299 Bittesini", "2357 Phereclos", "8387 Fujimori", "6678 Seurat", "363 Padua", "6299 Reizoutoyoko", "2469 Tadjikistan", "311 Claudia", "1201 Strenua", "1645 Waterfield", "158 Koronis", "1782 Schneller", "3914 Kotogahama", "4612 Greenstein", "5922 Shouichi", "1589 Fanatica", "3332 Raksha", "55 Pandora", "5055 Opekushin", "6820 Buil", "2808 Belgrano", "8284 Cranach", "7735 Scorzelli", "338 Budrosa", "5295 Masayo", "5769 Michard", "1800 Aguilar", "2724 Orlov", "3136 Anshan", "4779 Whitley", "1456 Saldanha", "4834 Thoas", "8329 Speckman", "4462 Vaughan", "2869 Nepryadva", "4315 Pronik", "3561 Devine", "6408 Saijo", "264 Libussa", "6362 Tunis", "3451 Mentor", "422 Berolina", "4502 Elizabethann", "2032 Ethel", "3152 Jones", "13815 Furuya", "2459 Spellmann", "1240 Centenaria", "2241 Alcathous", "2192 Pyatigoriya", "3909 Gladys", "431 Nephele", "1187 Afra", "5014 Gorchakov", "2674 Pandarus", "(230965) 2004 XA192", "4758 Hermitage", "6389 Ogawa", "1541 Estonia", "2769 Mendeleev", "4427 Burnashev", "3873 Roddy", "263 Dresda", "1358 Gaika", "7113 Ostapbender", "9155 Verkhodanov", "382 Dodona", "5654 Terni", "3475 Fichte", "5433 Kairen", "8241 Agrius", "1568 Aisleen", "2250 Stalingrad", "5519 Lellouch", "1490 Limpopo", "4766 Malin", "768 Struveana", "1737 Severny", "5624 Shirley", "4261 Gekko", "1086 Nata", "6980 Kyusakamoto", "8391 Kring", "13772 Livius", "4658 Gavrilov", "3162 Nostalgia", "11017 Billputnam", "344 Desiderata", "3224 Irkutsk", "1194 Aletta", "5091 Isakovskij", "4451 Grieve", "951 Gaspra", "5059 Saroma", "3898 Curlewis", "4170 Semmelweis", "4423 Golden", "5651 Traversa", "2294 Andronikov", "4722 Agelaos", "1323 Tugela", "2895 Memnon", "162 Laurentia", "10478 Alsabti", "4976 Choukyongchol", "12896 Geoffroy", "1090 Sumida", "2670 Chuvashia", "2711 Aleksandrov", "413 Edburga", "5042 Colpa", "122 Gerda", "4186 Tamashima", "3799 Novgorod", "3277 Aaronson", "432 Pythia", "3693 Barringer", "1742 Schaifers", "2052 Tamriko", "282 Clorinde", "1333 Cevenola", "4543 Phoinix", "1773 Rumpelstilz", "720 Bohlinia", "3803 Tuchkova", "9142 Rhesus", "4332 Milton", "262 Valda", "4613 Mamoru", "3797 Ching-Sung Yu", "386 Siegena", "145 Adeona", "21558 Alisonliu", "7485 Changchun", "207 Hedda", "3179 Beruti", "857 Glasenappia", "(131696) 2001 XT254", "178 Belisana", "(307261) 2002 MS4", "3609 Liloketai", "424 Gratia", "12235 Imranakperov", "3141 Buchar", "1288 Santa", "1336 Zeelandia", "6786 Doudantsutsuji", "1956 Artek", "7082 La Serena", "12714 Alkimos", "846 Lipperta", "1293 Sonja", "6153 Hershey", "3191 Svanetia", "1413 Roucarie", "2361 Gogol", "2022 West", "6531 Subashiri", "141 Lumen", "5785 Fulton", "1858 Lobachevsk", "291 Alice", "1523 Pieksämäki", "1143 Odysseus", "3250 Martebo", "6375 Fredharris", "9562 Memling", "1895 Larink", "3876 Quaide", "5294 Onnetoh", "111 Ate", "7193 Yamaoka", "2263 Shaanxi", "12279 Laon", "2190 Coubertin", "2957 Tatsuo", "6783 Gulyaev", "1427 Ruvuma", "1683 Castafiore", "11987 Yonematsu", "3866 Langley", "1224 Fantasia", "3453 Dostoevsky", "1995 SN55", "4616 Batalov", "2085 Henan", "6057 Robbia", "1894 Haffner", "54598 Bienor", "3856 Lutskij", "41 Daphne", "4259 McCoy", "228 Agathe", "120347 Salacia", "5401 Minamioda", "7710 Ishibashi", "1569 Evita", "288 Glauke", "6575 Slavov", "5225 Loral", "272 Antonia", "5126 Achaemenides", "1539 Borrelly", "1121 Natascha", "2894 Kakhovka", "1960 Guisan", "3065 Sarahill", "2140 Kemerovo", "2003 UZ413", "11552 Boucolion", "1585 Union", "2737 Kotka", "869 Mellena", "9609 Ponomarevalya", "60558 Echeclus", "893 Leopoldina", "4079 Britten", "7051 Sean", "596 Scheila", "2651 Karen", "1222 Tina", "1748 Mauderli", "1731 Smuts", "8661 Ratzinger", "1104 Syringa", "4844 Matsuyama", "2730 Barks", "1697 Koskenniemi", "135 Hertha", "3315 Chant", "1325 Inanda", "3886 Shcherbakovia", "3300 McGlasson", "4676 Uedaseiji", "8496 Jandlsmith", "5234 Sechenov", "2753 Duncan", "4263 Abashiri", "13005 Stankonyukhov", "331 Etheridgea", "3010 Ushakov", "3485 Barucci", "3666 Holman", "1124 Stroobantia", "2626 Belnika", "4056 Timwarner", "3845 Neyachenko", "361 Bononia", "10257 Garecynthia", "10886 Mitsuroohba", "15631 Dellorusso", "1190 Pelagia", "10195 Nebraska", "4409 Kissling", "2405 Welch", "5293 Bentengahama", "5372 Bikki", "6353 Semper", "3632 Grachevka", "4607 Seilandfarm", "3348 Pokryshkin", "4382 Stravinsky", "7483 Sekitakakazu", "2624 Samitchell", "439 Ohio", "1603 Neva", "3377 Lodewijk", "3134 Kostinsky", "6228 Yonezawa", "6357 Glushko", "6255 Kuma", "203 Pompeja", "179 Klytaemnestra", "2219 Mannucci", "4291 Kodaihasu", "2003 Harding", "1421 Esperanto", "10388 Zhuguangya", "41488 Sindbad", "7363 Esquibel", "4337 Arecibo", "3415 Danby", "1394 Algoa", "4568 Menkaure", "4115 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Quito", "5685 Sanenobufukui", "3093 Bergholz", "3518 Florena", "2426 Simonov", "352 Gisela", "1874 Kacivelia", "5301 Novobranets", "4455 Ruriko", "180 Garumna", "5994 Yakubovich", "9205 Eddywally", "1212 Francette", "Ceres", "371 Bohemia", "1639 Bower", "7911 Carlpilcher", "3228 Pire", "2932 Kempchinsky", "1375 Alfreda", "8501 Wachholz", "1834 Palach", "6156 Dall", "2781 Kleczek", "1881 Shao", "4002 Shinagawa", "308 Polyxo", "5196 Bustelli", "426 Hippo", "2264 Sabrina", "1667 Pels", "112 Iphigenia", "11107 Hakkoda", "7991 Kaguyahime", "2982 Muriel", "7750 McEwen", "3440 Stampfer", "3395 Jitka", "6837 Bressi", "6979 Shigefumi", "998 Bodea", "211 Isolda", "5283 Pyrrhus", "1873 Agenor", "9096 Tamotsu", "3497 Innanen", "319 Leona", "1997 SZ10", "2412 Wil", "1702 Kalahari", "2393 Suzuki", "11652 Johnbrownlee", "1354 Botha", "4791 Iphidamas", "3476 Dongguan", "2240 Tsai", "2106 Hugo", "1760 Sandra", "5084 Gnedin", "9306 Pittosporum", "199 Byblis", "3505 Byrd", "6402 Holstein", "4580 Child", "3933 Portugal", "4681 Ermak", "6557 Yokonomura", "1609 Brenda", "694 Ekard", "4741 Leskov", "408 Fama", "5115 Frimout", "2009 Voloshina", "3328 Interposita", "4907 Zoser", "655 Briseïs", "1761 Edmondson", "4501 Eurypylos", "1469 Linzia", "10293 Pribina", "2155 Wodan", "1730 Marceline", "355 Gabriella", "4126 Mashu", "3117 Niepce", "1776 Kuiper", "5629 Kuwana", "19721 Wray", "133 Cyrene", "3585 Goshirakawa", "1648 Shajna", "5382 McKay", "1350 Rosselia", "2667 Oikawa", "7797 Morita", "1396 Outeniqua", "5259 Epeigeus", "23355 Elephenor", "6351 Neumann", "14702 Benclark", "1703 Barry", "5875 Kuga", "7487 Toshitanaka", "4547 Massachusetts", "5197 Rottmann", "374 Burgundia", "357 Ninina", "7778 Markrobinson", "2591 Dworetsky", "4446 Carolyn", "532 Herculina", "5240 Kwasan", "1459 Magnya", "2450 Ioannisiani", "2913 Horta", "2371 Dimitrov", "5028 Halaesus", "32222 Charlesvest", "8835 Annona", "7602 Yidaeam", "1244 Deira", "279 Thule", "55678 Lampos", "1471 Tornio", "3419 Guth", "5619 Shair", "8205 Van Dijck", "4327 Ries", "2477 Biryukov", "220 Stephania", "2116 Mtskheta", "8294 Takayuki", "11314 Charcot", "901 Brunsia", "3011 Chongqing", "1109 Tata", "4130 Ramanujan", "3063 Makhaon", "5652 Amphimachus", "4820 Fay", "3078 Horrocks", "3095 Omarkhayyam", "1177 Gonnessia", "165 Loreley", "30P/Reinmuth", "3558 Shishkin", "1926 Demiddelaer", "6410 Fujiwara", "5677 Aberdonia", "2038 Bistro", "1984 Fedynskij", "7736 Nizhnij Novgorod", "366 Vincentina", "2470 Agematsu", "1576 Fabiola", "3588 Kirik", "452 Hamiltonia", "1716 Peter", "3142 Kilopi", "283 Emma", "1681 Steinmetz", "3092 Herodotus", "4193 Salanave", "954 Li", "3946 Shor", "5942 Denzilrobert", "3736 Rokoske", "4467 Kaidanovskij", "405 Thia", "2684 Douglas", "1357 Khama", "109 Felicitas", "1743 Schmidt", "2833 Radishchev", "1072 Malva", "301 Bavaria", "24603 Mekistheus", "3054 Strugatskia", "418 Alemannia", "160 Una", "1326 Losaka", "12284 Pohl", "3751 Kiang", "1285 Julietta", "2755 Avicenna", "6026 Xenophanes", "8787 Ignatenko", "2810 Lev Tolstoj", "804 Hispania", "10608 Mameta", "209 Dido", "4448 Phildavis", "3409 Abramov", "1202 Marina", "3796 Lene", "3967 Shekhtelia", "3526 Jeffbell", "1807 Slovakia", "5807 Mshatka", "55676 Klythios", "2988 Korhonen", "4622 Solovjova", "13917 Correggia", "8182 Akita", "2827 Vellamo", "(229762) 2007 UK126", "2185 Guangdong", "4306 Dunaevskij", "14789 GAISH", "2570 Porphyro", "6941 Dalgarno", "1708 Pólit", "2277 Moreau", "5539 Limporyen", "4091 Lowe", "1579 Herrick", "4192 Breysacher", "200 Dynamene", "4000 Hipparchus", "6356 Tairov", "2657 Bashkiria", "1170 Siva", "2416 Sharonov", "3966 Cherednichenko", "4054 Turnov", "700 Auravictrix", "1796 Riga", "327 Columbia", "4157 Izu", "277 Elvira", "5029 Ireland", "10142 Sakka", "6175 Cori", "7501 Farra", "9713 Oceax", "1721 Wells", "1633 Chimay", "5546 Salavat", "2355 Nei Monggol", "185 Eunike", "2489 Suvorov", "1975 Pikelner", "1622 Chacornac", "3821 Sonet", "5208 Royer", "2295 Matusovskij", "2252 CERGA", "7443 Tsumura", "3642 Frieden" ], "function": "<=", "commonness": -12.763596851037466, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.star_system_body", "class": "astronomy.star_system_body", "friendly_name": "Star system body", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12.629^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "12.629", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "astronomy.star_system_body.absolute_magnitude", "friendly_name": "Absolute magnitude" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :astronomy.star_system_body . \nFILTER (?x1 <= 12.629)\n?x0 :astronomy.star_system_body.absolute_magnitude ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 134000300, "question": "which exoplanets have an absolute magnitude of 12.629 or less?", "answer": [ "1083 Salvia", "6351 Neumann", "446 Aeternitas", "2525 O'Steen", "5290 Langevin", "429 Lotis", "144 Vibilia", "4210 Isobelthompson", "3041 Webb", "Remus", "2263 Shaanxi", "17314 Aisakos", "4124 Herriot", "1857 Parchomenko", "2324 Janice", "4609 Pizarro", "143 Adria", "38 Leda", "12973 Melanthios", "7353 Kazuya", "1843 Jarmila", "3082 Dzhalil", "1941 Wild", "387 Aquitania", "4543 Phoinix", "12284 Pohl", "9205 Eddywally", "2747 Český Krumlov", "323 Brucia", "593 Titania", "1532 Inari", "5771 Somerville", "(55636) 2002 TX300", "4791 Iphidamas", "5317 Verolacqua", "3330 Gantrisch", "2051 Chang", "53 Kalypso", "5403 Takachiho", "2301 Whitford", "1606 Jekhovsky", "1102 Pepita", "3024 Hainan", "2732 Witt", "2601 Bologna", "5314 Wilkickia", "5405 Neverland", "14994 Uppenkamp", "1383 Limburgia", "3960 Chaliubieju", "6570 Tomohiro", "4447 Kirov", "44 Nysa", "5714 Krasinsky", "4981 Sinyavskaya", "294 Felicia", "3693 Barringer", "3196 Maklaj", "6088 Hoshigakubo", "7494 Xiwanggongcheng", "3115 Baily", "6260 Kelsey", "6255 Kuma", "3342 Fivesparks", "33800 Gross", "8889 Mockturtle", "5032 Conradhirsh", "1186 Turnera", "5219 Zemka", "8104 Kumamori", "4980 Magomaev", "2499 Brunk", "6613 Williamcarl", "7607 Billmerline", "357 Ninina", "5283 Pyrrhus", "83982 Crantor", "2138 Swissair", "2262 Mitidika", "1443 Ruppina", "257 Silesia", "1901 Moravia", "267 Tirza", "7027 Toshihanda", "2528 Mohler", "3909 Gladys", "4101 Ruikou", "16358 Plesetsk", "4224 Susa", "15258 Alfilipenko", "5325 Silver", "1434 Margot", "3471 Amelin", "12742 Delisle", "1416 Renauxa", "1595 Tanga", "414 Liriope", "2040 Chalonge", "4959 Niinoama", "5966 Tomeko", "437 Rhodia", "10316 Williamturner", "224 Oceana", "16 Psyche", "1617 Alschmitt", "1469 Linzia", "(230965) 2004 XA192", "6511 Furmanov", "2455 Somville", "4009 Drobyshevskij", "2647 Sova", "3485 Barucci", "5232 Jordaens", "4975 Dohmoto", "5067 Occidental", "10257 Garecynthia", "5483 Cherkashin", "4438 Sykes", "6719 Gallaj", "3621 Curtis", "3242 Bakhchisaraj", "6174 Polybius", "305 Gordonia", "8294 Takayuki", "9817 Thersander", "14 Irene", "26761 Stromboli", "5521 Morpurgo", "1658 Innes", "6839 Ozenuma", "1253 Frisia", "4500 Pascal", "2218 Wotho", "3751 Kiang", "3430 Bradfield", "7210 Darius", "9117 Aude", "4820 Fay", "5071 Schoenmaker", "2523 Ryba", "1199 Geldonia", "1894 Haffner", "2963 Chen Jiageng", "3955 Bruckner", "3125 Hay", "5 Astraea", "298 Baptistina", "6362 Tunis", "8150 Kaluga", "5128 Wakabayashi", "149 Medusa", "280 Philia", "308 Polyxo", "16154 Dabramo", "3721 Widorn", "4119 Miles", "11020 Orwell", "3663 Tisserand", "1708 Pólit", "18 Melpomene", "5542 Moffatt", "4615 Zinner", "3254 Bus", "5126 Achaemenides", "4347 Reger", "1490 Limpopo", "1529 Oterma", "472 Roma", "(15875) 1996 TP66", "2003 UZ413", "2147 Kharadze", "1807 Slovakia", "6938 Soniaterk", "15 Eunomia", "4914 Pardina", "1064 Aethusa", "501 Urhixidur", "471 Papagena", "2692 Chkalov", "3642 Frieden", "233 Asterope", "4709 Ennomos", "625 Xenia", "1668 Hanna", "253 Mathilde", "1107 Lictoria", "2718 Handley", "1721 Wells", "13463 Antiphos", "3843 OISCA", "9859 Van Lierde", "1808 Bellerophon", "5831 Dizzy", "2708 Burns", "2785 Sedov", "16035 Sasandford", "3665 Fitzgerald", "(120348) 2004 TY364", "65590 Archeptolemos", "3317 Paris", "124 Alkeste", "1985 Hopmann", "488 Kreusa", "10583 Kanetugu", "2808 Belgrano", "8225 Emerson", "3482 Lesnaya", "8500 Hori", "317 Roxane", "2231 Durrell", "5497 Sararussell", "3319 Kibi", "3189 Penza", "5281 Lindstrom", "1597 Laugier", "3700 Geowilliams", "2394 Nadeev", "10582 Harumi", "8145 Valujki", "2356 Hirons", "1349 Bechuana", "9829 Murillo", "225 Henrietta", "3860 Plovdiv", "809 Lundia", "6356 Tairov", "5374 Hokutosei", "9092 Nanyang", "4014 Heizman", "3618 Kuprin", "11017 Billputnam", "5027 Androgeos", "1903 Adzhimushkaj", "8551 Daitarabochi", "2521 Heidi", "1445 Konkolya", "3195 Fedchenko", "2382 Nonie", "3598 Saucier", "5068 Cragg", "1673 van Houten", "1687 Glarona", "4955 Gold", "1112 Polonia", "1190 Pelagia", "6349 Acapulco", "1184 Gaea", "1330 Spiridonia", "1356 Nyanza", "6057 Robbia", "2551 Decabrina", "1796 Riga", "4808 Ballaero", "1204 Renzia", "2176 Donar", "8747 Asahi", "2760 Kacha", "2328 Robeson", "4837 Bickerton", "10793 Quito", "2877 Likhachev", "3796 Lene", "6997 Laomedon", "1880 McCrosky", "231 Vindobona", "5081 Sanguin", "7628 Evgenifedorov", "4422 Jarre", "5329 Decaro", "1030 Vitja", "4393 Dawe", "3575 Anyuta", "2148 Epeios", "4719 Burnaby", "1841 Masaryk", "4112 Hrabal", "1556 Wingolfia", "2459 Spellmann", "2827 Vellamo", "5459 Saraburger", "1250 Galanthus", "5411 Liia", "702 Alauda", "410 Chloris", "1772 Gagarin", "6302 Tengukogen", "1352 Wawel", "4424 Arkhipova", "2774 Tenojoki", "4305 Clapton", "21652 Vasishtha", "153 Hilda", "4130 Ramanujan", "4209 Briggs", "2005 TN74", "5215 Tsurui", "37519 Amphios", "5976 Kalatajean", "2632 Guizhou", "3844 Lujiaxi", "180 Garumna", "2277 Moreau", "62 Erato", "1302 Werra", "8498 Ufa", "3523 Arina", "1914 Hartbeespoortdam", "1293 Sonja", "3294 Carlvesely", "12753 Povenmire", "2715 Mielikki", "2142 Landau", "5144 Achates", "255 Oppavia", "3811 Karma", "1271 Isergina", "2292 Seili", "4138 Kalchas", "7763 Crabeels", "2699 Kalinin", "13005 Stankonyukhov", "2752 Wu Chien-Shiung", "475 Ocllo", "1568 Aisleen", "1626 Sadeya", "2729 Urumqi", "5454 Kojiki", "6210 Hyunseop", "5609 Stroncone", "2215 Sichuan", "1211 Bressole", "65489 Ceto", "6169 Sashakrot", "2730 Barks", "52872 Okyrhoe", "191 Kolga", "2180 Marjaleena", "19521 Chaos", "4079 Britten", "1618 Dawn", "5167 Joeharms", "2240 Tsai", "4418 Fredfranklin", "1263 Varsavia", "165 Loreley", "2032 Ethel", "(145480) 2005 TB190", "2254 Requiem", "2587 Gardner", "6338 Isaosato", "2014 Vasilevskis", "12238 Actor", "4127 Kyogoku", "175 Andromache", "3542 Tanjiazhen", "312 Pierretta", "81 Terpsichore", "1066 Lobelia", "2404 Antarctica", "3109 Machin", "290 Bruna", "3290 Azabu", "11514 Tsunenaga", "58534 Logos", "1725 CrAO", "4571 Grumiaux", "4230 van den Bergh", "3099 Hergenrother", "1231 Auricula", "1406 Komppa", "2988 Korhonen", "3116 Goodricke", "1059 Mussorgskia", "6701 Warhol", "4950 House", "1471 Tornio", "5661 Hildebrand", "4091 Lowe", "113 Amalthea", "1336 Zeelandia", "7911 Carlpilcher", "1884 Skip", "43 Ariadne", "(148209) 2000 CR105", "1093 Freda", "7857 Lagerros", "1537 Transylvania", "3768 Monroe", "7331 Balindblad", "1561 Fricke", "4201 Orosz", "6677 Renoir", "1483 Hakoila", "5306 Fangfen", "1408 Trusanda", "4346 Whitney", "394 Arduina", "970 Primula", "3746 Heyuan", "266 Aline", "2214 Carol", "604 Tekmessa", "1588 Descamisada", "5042 Colpa", "3177 Chillicothe", "3303 Merta", "189 Phthia", "9067 Katsuno", "3026 Sarastro", "1645 Waterfield", "17351 Pheidippos", "8087 Kazutaka", "1008 La Paz", "1024 Hale", "7443 Tsumura", "5840 Raybrown", "6353 Semper", "1564 Srbija", "4166 Pontryagin", "4046 Swain", "1780 Kippes", "2797 Teucer", "6039 Parmenides", "6583 Destinn", "263 Dresda", "2970 Pestalozzi", "132 Aethra", "5222 Ioffe", "356 Liguria", "4448 Phildavis", "444 Gyptis", "264 Libussa", "2740 Tsoj", "5750 Kandatai", "1879 Broederstroom", "2378 Pannekoek", "4006 Sandler", "3970 Herran", "184 Dejopeja", "3346 Gerla", "3234 Hergiani", "1220 Crocus", "5284 Orsilocus", "7106 Kondakov", "8721 AMOS", "5955 Khromchenko", "7501 Farra", "5155 Denisyuk", "447 Valentine", "1703 Barry", "2848 ASP", "3754 Kathleen", "22199 Klonios", "7728 Giblin", "6136 Gryphon", "377 Campania", "6678 Seurat", "1275 Cimbria", "5886 Rutger", "4286 Rubtsov", "5517 Johnerogers", "292 Ludovica", "3208 Lunn", "1804 Chebotarev", "3615 Safronov", "4211 Rosniblett", "3861 Lorenz", "409 Aspasia", "7290 Johnrather", "3457 Arnenordheim", "(84719) 2002 VR128", "11943 Davidhartley", "4708 Polydoros", "1631 Kopff", "5685 Sanenobufukui", "(120178) 2003 OP32", "4453 Bornholm", "8197 Mizunohiroshi", "1312 Vassar", "1418 Fayeta", "5687 Yamamotoshinobu", "5338 Michelblanc", "5629 Kuwana", "236 Honoria", "2136 Jugta", "274 Philagoria", "6358 Chertok", "2163 Korczak", "5136 Baggaley", "452 Hamiltonia", "1173 Anchises", "2509 Chukotka", "3903 Kliment Ohridski", "7131 Longtom", "6531 Subashiri", "760 Massinga", "3638 Davis", "5623 Iwamori", "7750 McEwen", "2426 Simonov", "1999 LE31", "1707 Chantal", "1321 Majuba", "3143 Genecampbell", "2763 Jeans", "2354 Lavrov", "1322 Coppernicus", "1761 Edmondson", "2124 Nissen", "5603 Rausudake", "6683 Karachentsov", "5129 Groom", "5613 Donskoj", "4523 MIT", "4344 Buxtehude", "23318 Salvadorsanchez", "1998 WW31", "4961 Timherder", "2688 Halley", "2365 Interkosmos", "2264 Sabrina", "3092 Herodotus", "14702 Benclark", "4292 Aoba", "3957 Sugie", "8443 Svecica", "11429 Demodokus", "4093 Bennett", "5084 Gnedin", "2173 Maresjev", "139 Juewa", "26355 Grueber", "55576 Amycus", "4616 Batalov", "4580 Child", "151 Abundantia", "2787 Tovarishch", "1493 Sigrid", "3930 Vasilev", "8036 Maehara", "3232 Brest", "9240 Nassau", "2022 West", "372 Palma", "4306 Dunaevskij", "211 Isolda", "1209 Pumma", "5594 Jimmiller", "1555 Dejan", "3790 Raywilson", "53311 Deucalion", "3705 Hotellasilla", "3823 Yorii", "3449 Abell", "420 Bertholda", "5147 Maruyama", "3515 Jindra", "2181 Fogelin", "13684 Borbona", "5488 Kiyosato", "48373 Gorgythion", "13482 Igorfedorov", "2158 Tietjen", "3127 Bagration", "390 Alma", "7775 Taiko", "3835 Korolenko", "4725 Milone", "27736 Ekaterinburg", "4891 Blaga", "4103 Chahine", "4054 Turnov", "1797 Schaumasse", "1240 Centenaria", "1756 Giacobini", "1104 Syringa", "1803 Zwicky", "3316 Herzberg", "4635 Rimbaud", "3007 Reaves", "5091 Isakovskij", "4792 Lykaon", "66 Maja", "5255 Johnsophie", "1246 Chaka", "2603 Taylor", "4293 Masumi", "5120 Bitias", "1886 Lowell", "328 Gudrun", "4407 Taihaku", "2153 Akiyama", "21586 Pourkaviani", "14316 Higashichichibu", "5852 Nanette", "1075 Helina", "1882 Rauma", "3894 Williamcooke", "2290 Helffrich", "4419 Allancook", "2987 Sarabhai", "2249 Yamamoto", "5193 Tanakawataru", "8125 Tyndareus", "5385 Kamenka", "9430 Erichthonios", "3358 Anikushin", "4073 Ruianzhongxue", "4752 Myron", "1840 Hus", "2890 Vilyujsk", "4676 Uedaseiji", "2470 Agematsu", "4163 Saaremaa", "311 Claudia", "5296 Friedrich", "912 Maritima", "1908 Pobeda", "3322 Lidiya", "2122 Pyatiletka", "21 Lutetia", "3194 Dorsey", "1591 Baize", "1448 Lindbladia", "3202 Graff", "3409 Abramov", "1644 Rafita", "6026 Xenophanes", "2295 Matusovskij", "2140 Kemerovo", "4779 Whitley", "10195 Nebraska", "10809 Majsterrojr", "66652 Borasisi", "4417 Lecar", "2835 Ryoma", "2461 Clavel", "277 Elvira", "2006 Polonskaya", "6971 Omogokei", "4332 Milton", "5902 Talima", "30704 Phegeus", "2393 Suzuki", "4061 Martelli", "4679 Sybil", "13860 Neely", "6355 Univermoscow", "3090 Tjossem", "4096 Kushiro", "2191 Uppsala", "26821 Baehr", "4828 Misenus", "192 Nausikaa", "8189 Naruke", "5293 Bentengahama", "5254 Ulysses", "2003 LA7", "4271 Novosibirsk", "8410 Hiroakiohno", "5285 Krethon", "Makemake", "3702 Trubetskaya", "1551 Argelander", "4045 Lowengrub", "846 Lipperta", "87 Sylvia", "3451 Mentor", "4685 Karetnikov", "2111 Tselina", "1584 Fuji", "3885 Bogorodskij", "2621 Goto", "3557 Sokolsky", "6575 Slavov", "3240 Laocoon", "2371 Dimitrov", "1674 Groeneveld", "3312 Pedersen", "4677 Hiroshi", "6173 Jimwestphal", "2659 Millis", "2938 Hopi", "398 Admete", "1189 Terentia", "1635 Bohrmann", "1662 Hoffmann", "399 Persephone", "5875 Kuga", "4326 McNally", "(55637) 2002 UX25", "2115 Irakli", "427 Galene", "3766 Junepatterson", "5372 Bikki", "4420 Alandreev", "1343 Nicole", "1969 Alain", "3152 Jones", "186 Celuta", "10259 Osipovyurij", "1651 Behrens", "6955 Ekaterina", "1256 Normannia", "26 Proserpina", "5105 Westerhout", "2 Pallas", "2687 Tortali", "6530 Adry", "5138 Gyoda", "1792 Reni", "2861 Lambrecht", "2819 Ensor", "2520 Novorossijsk", "3937 Bretagnon", "5288 Nankichi", "6241 Galante", "1397 Umtata", "1712 Angola", "4156 Okadanaboru", "125 Liberatrix", "8316 Wolkenstein", "6518 Vernon", "1669 Dagmar", "1578 Kirkwood", "741 Botolphia", "8578 Shojikato", "103 Hera", "136 Austria", "4741 Leskov", "7363 Esquibel", "1354 Botha", "3616 Glazunov", "2433 Sootiyo", "4687 Brunsandrej", "2416 Sharonov", "13365 Tenzinyama", "30724 Peterburgtrista", "1072 Malva", "133 Cyrene", "867 Kovacia", "6000 United Nations", "15092 Beegees", "7394 Xanthomalitia", "1995 SN55", "232 Russia", "(174567) 2003 MW12", "9549 Akplatonov", "5711 Eneev", "3207 Spinrad", "3734 Waland", "1754 Cunningham", "2905 Plaskett", "1106 Cydonia", "102 Miriam", "4102 Gergana", "1858 Lobachevsk", "3637 O'Meara", "1353 Maartje", "1284 Latvia", "5221 Fabribudweis", "1251 Hedera", "1417 Walinskia", "2237 Melnikov", "3774 Megumi", "2159 Kukkamäki", "2145 Blaauw", "3599 Basov", "(119068) 2001 KC77", "2904 Millman", "6911 Nancygreen", "2384 Schulhof", "10043 Janegann", "1264 Letaba", "1802 Zhang Heng", "7499 L'Aquila", "2408 Astapovich", "2802 Weisell", "22 Kalliope", "1292 Luce", "221 Eos", "2489 Suvorov", "6445 Bellmore", "1094 Siberia", "3981 Stodola", "5855 Yukitsuna", "1261 Legia", "6773 Kellaway", "8501 Wachholz", "5704 Schumacher", "4169 Celsius", "4351 Nobuhisa", "1910 Mikhailov", "7611 Hashitatsu", "7530 Mizusawa", "6166 Univsima", "9033 Kawane", "2624 Samitchell", "11787 Baumanka", "1423 Jose", "3983 Sakiko", "6375 Fredharris", "3967 Shekhtelia", "4940 Polenov", "17859 Galinaryabova", "2796 Kron", "4748 Tokiwagozen", "6655 Nagahama", "7145 Linzexu", "3034 Climenhaga", "8060 Anius", "1115 Sabauda", "67 Asia", "1680 Per Brahe", "9670 Magni", "293 Brasilia", "3564 Talthybius", "3139 Shantou", "4537 Valgrirasp", "4158 Santini", "2450 Ioannisiani", "2060 Chiron", "1742 Schaifers", "1678 Hveen", "1283 Komsomolia", "170 Maria", "2650 Elinor", "1692 Subbotina", "2901 Bagehot", "13 Egeria", "2569 Madeline", "31824 Elatus", "1366 Piccolo", "6139 Naomi", "1277 Dolores", "213 Lilaea", "416 Vaticana", "(144897) 2004 UX10", "3661 Dolmatovskij", "8057 Hofmannsthal", "2167 Erin", "2132 Zhukov", "2260 Neoptolemus", "1428 Mombasa", "5072 Hioki", "5546 Salavat", "299 Thora", "1338 Duponta", "22503 Thalpius", "4702 Berounka", "2595 Gudiachvili", "4052 Crovisier", "1527 Malmquista", "79360 Sila–Nunam", "6975 Hiroaki", "18278 Drymas", "8573 Ivanka", "2009 Voloshina", "664 Judith", "1569 Evita", "2555 Thomas", "2460 Mitlincoln", "2982 Muriel", "1838 Ursa", "1633 Chimay", "1873 Agenor", "8560 Tsubaki", "239 Adrastea", "2326 Tololo", "131 Vala", "343 Ostara", "5572 Bliskunov", "8538 Gammelmaja", "1372 Haremari", "1294 Antwerpia", "2761 Eddington", "1188 Gothlandia", "2220 Hicks", "425 Cornelia", "3620 Platonov", "6463 Isoda", "27 Euterpe", "7596 Yumi", "5445 Williwaw", "1291 Phryne", "1649 Fabre", "3399 Kobzon", "3961 Arthurcox", "6432 Temirkanov", "4049 Noragal'", "15913 Telemachus", "1870 Glaukos", "1358 Gaika", "6072 Hooghoudt", "345 Tercidina", "2224 Tucson", "11249 Etna", "1285 Julietta", "1252 Celestia", "1783 Albitskij", "2879 Shimizu", "18059 Cavalieri", "4243 Nankivell", "7139 Tsubokawa", "5361 Goncharov", "1108 Demeter", "1241 Dysona", "4916 Brumberg", "8182 Akita", "13859 Fredtreasure", "245 Vera", "44P/Reinmuth", "1904 Massevitch", "1958 Chandra", "13387 Irus", "2007 NC7", "2149 Schwambraniya", "24701 Elyu-Ene", "1842 Hynek", "4997 Ksana", "1311 Knopfia", "4352 Kyoto", "2041 Lancelot", "118 Peitho", "2722 Abalakin", "3197 Weissman", "254 Augusta", "4577 Chikako", "7496 Miroslavholub", "1900 Katyusha", "4159 Freeman", "7528 Huskvarna", "740 Cantabia", "424 Gratia", "11887 Echemmon", "616 Elly", "7083 Kant", "2892 Filipenko", "2146 Stentor", "12896 Geoffroy", "3423 Slouka", "1524 Joensuu", "1699 Honkasalo", "413 Edburga", "1357 Khama", "2618 Coonabarabran", "2469 Tadjikistan", "8205 Van Dijck", "9845 Okamuraosamu", "454 Mathesis", "2696 Magion", "5196 Bustelli", "4366 Venikagan", "2494 Inge", "101 Helena", "5824 Inagaki", "2645 Daphne Plane", "4976 Choukyongchol", "2332 Kalm", "4100 Sumiko", "152 Atala", "2851 Harbin", "197 Arete", "1518 Rovaniemi", "6383 Tokushima", "11 Parthenope", "178 Belisana", "630 Euphemia", "1071 Brita", "90 Antiope", "1775 Zimmerwald", "1258 Sicilia", "2697 Albina", "4967 Glia", "2217 Eltigen", "2185 Guangdong", "2474 Ruby", "196 Philomela", "1368 Numidia", "1771 Makover", "1213 Algeria", "1625 The NORC", "4542 Mossotti", "12291 Gohnaumann", "1089 Tama", "326 Tamara", "4484 Sif", "3666 Holman", "4000 Hipparchus", "4291 Kodaihasu", "1247 Memoria", "4215 Kamo", "13475 Orestes", "278 Paulina", "4766 Malin", "1786 Raahe", "15551 Paddock", "1755 Lorbach", "8329 Speckman", "269 Justitia", "89 Julia", "(19308) 1996 TO66", "4337 Arecibo", "6894 Macreid", "3896 Pordenone", "6979 Shigefumi", "1405 Sibelius", "1945 Wesselink", "1379 Lomonosowa", "2801 Huygens", "13249 Marcallen", "1176 Lucidor", "13488 Savanov", "18263 Anchialos", "4358 Lynn", "183 Istria", "57 Mnemosyne", "1360 Tarka", "7113 Ostapbender", "3772 Piaf", "1965 van de Kamp", "127 Johanna", "4521 Akimov", "26763 Peirithoos", "2456 Palamedes", "2152 Hannibal", "17445 Avatcha", "6553 Seehaus", "1866 Sisyphus", "48 Doris", "476 Hedwig", "10142 Sakka", "8321 Akim", "4672 Takuboku", "1248 Jugurtha", "3686 Antoku", "2274 Ehrsson", "3828 Hoshino", "2667 Oikawa", "1890 Konoshenkova", "55702 Thymoitos", "1641 Tana", "7754 Gopalan", "4601 Ludkewycz", "22227 Polyxenos", "5149 Leibniz", "2869 Nepryadva", "3504 Kholshevnikov", "2505 Hebei", "8181 Rossini", "2962 Otto", "1467 Mashona", "4597 Consolmagno", "2035 Stearns", "1732 Heike", "1570 Brunonia", "29 Amphitrite", "5176 Yoichi", "2655 Guangxi", "1086 Nata", "1601 Patry", "7718 Desnoux", "6175 Cori", "235 Carolina", "1731 Smuts", "2303 Retsina", "11004 Stenmark", "8550 Hesiodos", "10478 Alsabti", "6373 Stern", "6729 Emiko", "520 Franziska", "3664 Anneres", "3141 Buchar", "3380 Awaji", "(87269) 2000 OO67", "13436 Enid", "4911 Rosenzweig", "4250 Perun", "3522 Becker", "6880 Hayamiyu", "8564 Anomalocaris", "2238 Steshenko", "77 Frigga", "5006 Teller", "2898 Neuvo", "7119 Hiera", "6546 Kaye", "2444 Lederle", "2793 Valdaj", "4714 Toyohiro", "453 Tea", "1413 Roucarie", "3731 Hancock", "9306 Pittosporum", "2737 Kotka", "4575 Broman", "8330 Fitzroy", "30P/Reinmuth", "6866 Kukai", "8983 Rayakazakova", "4584 Akan", "3308 Ferreri", "15003 Midori", "2453 Wabash", "5142 Okutama", "285 Regina", "5808 Babel'", "2046 Leningrad", "4559 Strauss", "11933 Himuka", "1369 Ostanina", "3617 Eicher", "2638 Gadolin", "2945 Zanstra", "830 Petropolitana", "2506 Pirogov", "6650 Morimoto", "1973 Colocolo", "3439 Lebofsky", "3179 Beruti", "1926 Demiddelaer", "8431 Haseda", "4186 Tamashima", "272 Antonia", "6354 Vangelis", "5495 Rumyantsev", "7797 Morita", "206 Hersilia", "1219 Britta", "1452 Hunnia", "1782 Schneller", "4644 Oumu", "15417 Babylon", "6665 Kagawa", "2219 Mannucci", "15969 Charlesgreen", "2559 Svoboda", "3977 Maxine", "3495 Colchagua", "8250 Cornell", "3377 Lodewijk", "376 Geometria", "9612 Belgorod", "2765 Dinant", "1877 Marsden", "1547 Nele", "2570 Porphyro", "6908 Kunimoto", "261 Prymno", "4107 Rufino", "532 Herculina", "1385 Gelria", "2951 Perepadin", "2563 Boyarchuk", "147 Protogeneia", "1382 Gerti", "3297 Hong Kong", "3945 Gerasimenko", "12444 Prothoon", "1575 Winifred", "365 Corduba", "1629 Pecker", "3432 Kobuchizawa", "2875 Lagerkvist", "2293 Guernica", "5187 Domon", "7965 Katsuhiko", "5295 Masayo", "3641 Williams Bay", "4665 Muinonen", "2341 Aoluta", "50 Virginia", "45 Eugenia", "2550 Houssay", "2004 VN112", "1598 Paloque", "1172 Äneas", "2674 Pandarus", "8835 Annona", "10247 Amphiaraos", "4904 Makio", "12 Victoria", "1700 Zvezdara", "2864 Soderblom", "3898 Curlewis", "2826 Ahti", "4893 Seitter", "309 Fraternitas", "11652 Johnbrownlee", "2611 Boyce", "3514 Hooke", "5471 Tunguska", "48300 Kronk", "14792 Thyestes", "7392 Kowalski", "1117 Reginita", "7446 Hadrianus", "3794 Sthenelos", "1639 Bower", "5697 Arrhenius", "1567 Alikoski", "7342 Uchinoura", "(26375) 1999 DE9", "579 Sidonia", "9096 Tamotsu", "34993 Euaimon", "2379 Heiskanen", "383 Janina", "3687 Dzus", "5146 Moiwa", "3368 Duncombe", "1113 Katja", "4460 Bihoro", "2417 McVittie", "1760 Sandra", "402 Chloë", "2894 Kakhovka", "20952 Tydeus", "6150 Neukum", "412 Elisabetha", "7291 Hyakutake", "389 Industria", "7192 Cieletespace", "2493 Elmer", "5130 Ilioneus", "6778 Tosamakoto", "2981 Chagall", "7158 IRTF", "6214 Mikhailgrinev", "4412 Chephren", "3499 Hoppe", "3032 Evans", "3228 Pire", "4874 Burke", "106 Dione", "858 El Djezaïr", "1464 Armisticia", "8891 Irokawa", "7046 Reshetnev", "4754 Panthoos", "1553 Bauersfelda", "3543 Ningbo", "3161 Beadell", "1562 Gondolatsch", "4187 Shulnazaria", "4756 Asaramas", "5458 Aizman", "4446 Carolyn", "12235 Imranakperov", "4746 Doi", "3061 Cook", "17 Thetis", "6916 Lewispearce", "7308 Hattori", "3935 Toatenmongakkai", "5401 Minamioda", "3418 Izvekov", "2183 Neufang", "5256 Farquhar", "10886 Mitsuroohba", "4348 Poulydamas", "2004 Lexell", "1498 Lahti", "(15874) 1996 TL66", "4952 Kibeshigemaro", "(136120) 2003 LG7", "1607 Mavis", "5778 Jurafrance", "10885 Horimasato", "5320 Lisbeth", "6079 Gerokurat", "148 Gallia", "2822 Sacajawea", "1736 Floirac", "8066 Poldimeri", "7551 Edstolper", "7067 Kiyose", "4602 Heudier", "1092 Lilium", "4004 List'ev", "2315 Czechoslovakia", "1806 Derice", "7082 La Serena", "2025 Nortia", "1359 Prieska", "1749 Telamon", "1101 Clematis", "1832 Mrkos", "1927 Suvanto", "12561 Howard", "403 Cyane", "302 Clarissa", "5972 Harryatkinson", "4060 Deipylos", "3357 Tolstikov", "7636 Comba", "205 Martha", "2369 Chekhov", "4499 Davidallen", "172 Baucis", "3625 Fracastoro", "1351 Uzbekistania", "26858 Misterrogers", "12211 Arnoschmidt", "4182 Mount Locke", "4529 Webern", "1274 Delportia", "2592 Hunan", "6998 Tithonus", "2560 Siegma", "1743 Schmidt", "2884 Reddish", "1174 Marmara", "3210 Lupishko", "3785 Kitami", "1811 Bruwer", "3132 Landgraf", "4471 Graculus", "97 Klotho", "6905 Miyazaki", "1963 Bezovec", "5132 Maynard", "3016 Meuse", "511 Davida", "1364 Safara", "1531 Hartmut", "218 Bianca", "159 Aemilia", "5074 Goetzoertel", "4139 Ul'yanin", "1217 Maximiliana", "7305 Ossakajusto", "6710 Apostel", "450 Brigitta", "8204 Takabatake", "41 Daphne", "1000 Piazzia", "438 Zeuxo", "1114 Lorraine", "1582 Martir", "13062 Podarkes", "5438 Lorre", "6104 Takao", "1948 Kampala", "5185 Alerossi", "19721 Wray", "2106 Hugo", "1378 Leonce", "10094 Eijikato", "3136 Anshan", "14612 Irtish", "4077 Asuka", "6821 Ranevskaya", "1800 Aguilar", "3670 Northcott", "1329 Eliane", "1390 Abastumani", "2094 Magnitka", "4157 Izu", "249 Ilse", "3683 Baumann", "3812 Lidaksum", "1440 Rostia", "3622 Ilinsky", "5775 Inuyama", "4175 Billbaum", "1124 Stroobantia", "3227 Hasegawa", "5023 Agapenor", "2192 Pyatigoriya", "901 Brunsia", "4449 Sobinov", "1463 Nordenmarkia", "1202 Marina", "477 Italia", "344 Desiderata", "4535 Adamcarolla", "3367 Alex", "288 Glauke", "4902 Thessandrus", "1091 Spiraea", "3987 Wujek", "1753 Mieke", "388 Charybdis", "7217 Dacke", "1791 Patsayev", "2144 Marietta", "6392 Takashimizuno", "3965 Konopleva", "(119070) 2001 KP77", "1878 Hughes", "4513 Louvre", "2522 Triglav", "2742 Gibson", "1375 Alfreda", "385 Ilmatar", "52975 Cyllarus", "3534 Sax", "1630 Milet", "4395 Danbritt", "10864 Yamagatashi", "2053 Nuki", "401 Ottilia", "203 Pompeja", "374 Burgundia", "2246 Bowell", "6784 Bogatikov", "1586 Thiele", "2155 Wodan", "3932 Edshay", "2372 Proskurin", "13039 Awashima", "122 Gerda", "1599 Giomus", "366 Vincentina", "2589 Daniel", "5885 Apeldoorn", "2622 Bolzano", "5055 Opekushin", "367 Amicitia", "6794 Masuisakura", "4071 Rostovdon", "2685 Masursky", "1638 Ruanda", "1957 Angara", "11554 Asios", "6372 Walker", "6628 Dondelia", "23382 Epistrophos", "2957 Tatsuo", "490 Veritas", "3019 Kulin", "5213 Takahashi", "952 Caia", "3001 Michelangelo", "330 Adalberta", "9083 Ramboehm", "2728 Yatskiv", "782 Montefiore", "2483 Guinevere", "2918 Salazar", "3158 Anga", "1319 Disa", "1624 Rabe", "435 Ella", "6937 Valadon", "16466 Piyashiriyama", "1774 Kulikov", "3704 Gaoshiqi", "754 Malabar", "1522 Kokkola", "4946 Askalaphus", "5450 Sokrates", "3581 Alvarez", "1653 Yakhontovia", "395 Delia", "6024 Ochanomizu", "4664 Hanner", "316 Goberta", "5628 Preussen", "407 Arachne", "4350 Shibecha", "467 Laura", "1960 Guisan", "4628 Laplace", "8661 Ratzinger", "5931 Zhvanetskij", "1450 Raimonda", "2893 Peiroos", "10711 Pskov", "2370 van Altena", "2651 Karen", "7142 Spinoza", "2501 Lohja", "6031 Ryokan", "1228 Scabiosa", "306 Unitas", "5197 Rottmann", "1282 Utopia", "18568 Thuillot", "6459 Hidesan", "10938 Lorenzalevy", "3804 Drunina", "6220 Stepanmakarov", "4041 Miyamotoyohko", "169 Zelia", "2850 Mozhaiskij", "3093 Bergholz", "115 Thyra", "2657 Bashkiria", "2834 Christy Carol", "5785 Fulton", "9021 Fagus", "1851 Lacroute", "18745 San Pedro", "187 Lamberta", "1936 Lugano", "3501 Olegiya", "7167 Laupheim", "2093 Genichesk", "1520 Imatra", "2066 Palala", "1444 Pannonia", "1929 Kollaa", "20947 Polyneikes", "617 Patroclus", "2151 Hadwiger", "3182 Shimanto", "4607 Seilandfarm", "610 Valeska", "3780 Maury", "7366 Agata", "6371 Heinlein", "5133 Phillipadams", "(60608) 2000 EE173", "1281 Jeanne", "3012 Minsk", "2266 Tchaikovsky", "2852 Declercq", "14664 Vandervelden", "346 Hermentaria", "1345 Potomac", "9907 Oileus", "1193 Africa", "5457 Queen's", "1121 Natascha", "10555 Tagaharue", "1109 Tata", "5511 Cloanthus", "4431 Holeungholee", "10217 Richardcook", "358 Apollonia", "4126 Mashu", "1549 Mikko", "1070 Tunica", "1447 Utra", "1238 Predappia", "1722 Goffin", "4421 Kayor", "1395 Aribeda", "1583 Antilochus", "5889 Mickiewicz", "3280 Grétry", "21587 Christopynn", "2504 Gaviola", "2723 Gorshkov", "88 Thisbe", "4203 Brucato", "22870 Rosing", "5101 Akhmerov", "1735 ITA", "3438 Inarradas", "5816 Potsdam", "5624 Shirley", "85 Io", "3845 Neyachenko", "2141 Simferopol", "2302 Florya", "3054 Strugatskia", "1681 Steinmetz", "1396 Outeniqua", "4497 Taguchi", "655 Briseïs", "11314 Charcot", "2475 Semenov", "2847 Parvati", "1201 Strenua", "1654 Bojeva", "998 Bodea", "334 Chicago", "6644 Jugaku", "3376 Armandhammer", "4088 Baggesen", "13229 Echion", "32 Pomona", "2958 Arpetito", "182 Elsa", "202 Chryseïs", "1975 Pikelner", "2269 Efremiana", "9633 Cotur", "2612 Kathryn", "2978 Roudebush", "1082 Pirola", "2928 Epstein", "6607 Matsushima", "6410 Fujiwara", "331 Etheridgea", "2320 Blarney", "4174 Pikulia", "3453 Dostoevsky", "128 Nemesis", "3348 Pokryshkin", "3071 Nesterov", "3055 Annapavlova", "5815 Shinsengumi", "4681 Ermak", "449 Hamburga", "208 Lacrimosa", "7581 Yudovich", "1875 Neruda", "2084 Okayama", "20 Massalia", "1096 Reunerta", "1473 Ounas", "3747 Belinskij", "4462 Vaughan", "443 Photographica", "2297 Daghestan", "700 Auravictrix", "2194 Arpola", "82 Alkmene", "7 Iris", "3567 Alvema", "5033 Mistral", "3532 Tracie", "369 Aëria", "4999 MPC", "3852 Glennford", "286 Iclea", "588 Achilles", "857 Glasenappia", "5399 Awa", "220 Stephania", "21558 Alisonliu", "3383 Koyama", "5225 Loral", "12714 Alkimos", "4410 Kamuimintara", "2038 Bistro", "1054 Forsytia", "13018 Geoffjames", "2019 van Albada", "9713 Oceax", "5492 Thoma", "2627 Churyumov", "1867 Deiphobus", "4222 Nancita", "2856 Röser", "4135 Svetlanov", "6750 Katgert", "1523 Pieksämäki", "6524 Baalke", "2268 Szmytowna", "3950 Yoshida", "3148 Grechko", "4258 Ryazanov", "1062 Ljuba", "3816 Chugainov", "2769 Mendeleev", "2882 Tedesco", "2336 Xinjiang", "3036 Krat", "5021 Krylania", "2574 Ladoga", "4683 Veratar", "483 Seppina", "2357 Phereclos", "4284 Kaho", "1793 Zoya", "3156 Ellington", "2492 Kutuzov", "10234 Sixtygarden", "27396 Shuji", "1730 Marceline", "2837 Griboedov", "138 Tolosa", "8496 Jandlsmith", "1085 Amaryllis", "327 Columbia", "333 Badenia", "5484 Inoda", "1389 Onnie", "5936 Khadzhinov", "5183 Robyn", "10262 Samoilov", "11668 Balios", "4790 Petrpravec", "1067 Lunaria", "13181 Peneleos", "1099 Figneria", "8156 Tsukada", "3596 Meriones", "1579 Herrick", "581 Tauntonia", "4603 Bertaud", "4931 Tomsk", "5447 Lallement", "1686 De Sitter", "1196 Sheba", "3660 Lazarev", "2428 Kamenyar", "3786 Yamada", "68 Leto", "173 Ino", "360 Carlova", "5104 Skripnichenko", "283 Emma", "3214 Makarenko", "142 Polana", "10727 Akitsushima", "10222 Klotz", "7320 Potter", "40 Harmonia", "9154 Kol'tsovo", "3760 Poutanen", "219 Thusnelda", "3819 Robinson", "289 Nenetta", "6996 Alvensleben", "3727 Maxhell", "4380 Geyer", "4405 Otava", "2805 Kalle", "2188 Orlenok", "474 Prudentia", "3724 Annenskij", "382 Dodona", "393 Lampetia", "4367 Meech", "5182 Bray", "3436 Ibadinov", "5858 Borovitskia", "30705 Idaios", "665 Sabine", "5520 Natori", "4141 Nintanlena", "513 Centesima", "10143 Kamogawa", "4528 Berg", "4167 Riemann", "22203 Prothoenor", "4588 Wislicenus", "2134 Dennispalm", "3276 Porta Coeli", "3305 Ceadams", "6249 Jennifer", "1420 Radcliffe", "373 Melusina", "2319 Aristides", "1425 Tuorla", "2510 Shandong", "10653 Witsen", "10386 Romulus", "3799 Novgorod", "15621 Erikhovland", "13815 Furuya", "4086 Podalirius", "4930 Rephiltim", "4058 Cecilgreen", "2376 Martynov", "1036 Ganymed", "279 Thule", "92 Undina", "3425 Hurukawa", "215 Oenone", "2395 Aho", "35 Leukothea", "6422 Akagi", "111 Ate", "2391 Tomita", "3230 Vampilov", "6155 Yokosugano", "2911 Miahelena", "1350 Rosselia", "30708 Echepolos", "12242 Koon", "23383 Schedios", "3345 Tarkovskij", "1465 Autonoma", "1826 Miller", "6643 Morikubo", "3759 Piironen", "7429 Hoshikawa", "2436 Hatshepsut", "6337 Shiota", "4068 Menestheus", "3904 Honda", "60 Echo", "5186 Donalu", "16915 Bredthauer", "3164 Prast", "1182 Ilona", "5940 Feliksobolev", "4315 Pronik", "6191 Eades", "1206 Numerowia", "6639 Marchis", "5299 Bittesini", "5114 Yezo", "8086 Peterthomas", "158 Koronis", "120347 Salacia", "5644 Maureenbell", "3915 Fukushima", "3506 French", "440 Theodora", "1596 Itzigsohn", "(15760) 1992 QB1", "230 Athamantis", "2007 McCuskey", "779 Nina", "421 Zähringia", "2296 Kugultinov", "21128 Chapuis", "5404 Uemura", "5162 Piemonte", "6783 Gulyaev", "1477 Bonsdorffia", "2309 Mr. Spock", "5994 Yakubovich", "4865 Sor", "4461 Sayama", "3962 Valyaev", "4451 Grieve", "2377 Shcheglov", "6068 Brandenburg", "2344 Xizang", "11107 Hakkoda", "2413 van de Hulst", "951 Gaspra", "359 Georgia", "3565 Ojima", "5769 Michard", "2524 Budovicium", "14315 Ogawamachi", "32569 Deming", "2502 Nummela", "3518 Florena", "6439 Tirol", "4317 Garibaldi", "6472 Rosema", "3914 Kotogahama", "5996 Julioangel", "4873 Fukaya", "2448 Sholokhov", "4153 Roburnham", "(4035) 1986 WD", "2089 Cetacea", "1845 Helewalda", "2016 Heinemann", "5316 Filatov", "6532 Scarfe", "1363 Herberta", "1233 Kobresia", "6656 Yokota", "1770 Schlesinger", "80 Sappho", "3979 Brorsen", "3311 Podobed", "3902 Yoritomo", "1340 Yvette", "8375 Kenzokohno", "1970 Sumeria", "3176 Paolicchi", "3106 Morabito", "1619 Ueta", "417 Suevia", "405 Thia", "8400 Tomizo", "4712 Iwaizumi", "3088 Jinxiuzhonghua", "111P/Helin–Roman–Crockett", "2169 Taiwan", "1889 Pakhmutova", "216 Kleopatra", "5242 Kenreimonin", "4208 Kiselev", "6306 Nishimura", "21602 Ialmenus", "3450 Dommanget", "15147 Siegfried", "370 Modestia", "24 Themis", "5928 Pindarus", "817 Annika", "5595 Roth", "2810 Lev Tolstoj", "1348 Michel", "4827 Dares", "2209 Tianjin", "2670 Chuvashia", "2396 Kochi", "2658 Gingerich", "2330 Ontake", "4718 Araki", "Linus", "4226 Damiaan", "10672 Kostyukova", "7300 Yoshisada", "5505 Rundetårn", "12052 Aretaon", "1409 Isko", "7152 Euneus", "12439 Okasaki", "6071 Sakitama", "2759 Idomeneus", "3510 Veeder", "156 Xanthippe", "4290 Heisei", "42 Isis", "3906 Chao", "7414 Bosch", "1421 Esperanto", "8317 Eurysaces", "2216 Kerch", "5523 Luminet", "193 Ambrosia", "240 Vanadis", "391 Ingeborg", "2534 Houzeau", "5036 Tuttle", "6697 Celentano", "61 Danaë", "7270 Punkin", "9449 Petrbondy", "371 Bohemia", "12974 Halitherses", "1830 Pogson", "3063 Makhaon", "3117 Niepce", "14789 GAISH", "1506 Xosa", "5715 Kramer", "1286 Banachiewicza", "6357 Glushko", "321 Florentina", "8397 Chiakitanaka", "1738 Oosterhoff", "2786 Grinevia", "3264 Bounty", "432 Pythia", "5382 McKay", "3332 Raksha", "3469 Bulgakov", "2649 Oongaq", "3650 Kunming", "209 Dido", "379 Huenna", "7905 Juzoitami", "3947 Swedenborg", "5809 Kulibin", "3821 Sonet", "1484 Postrema", "3261 Tvardovskij", "30698 Hippokoon", "6419 Susono", "5654 Terni", "2179 Platzeck", "3623 Chaplin", "1224 Fantasia", "5017 Tenchi", "6424 Ando", "3372 Bratijchuk", "(65407) 2002 RP120", "5433 Kairen", "1719 Jens", "179 Klytaemnestra", "4316 Babinkova", "3334 Somov", "11785 Migaic", "2976 Lautaro", "5088 Tancredi", "(26181) 1996 GQ21", "3224 Irkutsk", "5825 Rakuyou", "258 Tyche", "386 Siegena", "3876 Quaide", "3787 Aivazovskij", "2310 Olshaniya", "1693 Hertzsprung", "3162 Nostalgia", "134 Sophrosyne", "3154 Grant", "7778 Markrobinson", "2498 Tsesevich", "15231 Ehdita", "1660 Wood", "6402 Holstein", "4558 Janesick", "1605 Milankovitch", "7766 Jododaira", "3405 Daiwensai", "2244 Tesla", "13389 Stacey", "3511 Tsvetaeva", "13185 Agasthenes", "3407 Jimmysimms", "3248 Farinella", "(307261) 2002 MS4", "100 Hekate", "893 Leopoldina", "2177 Oliver", "6036 Weinberg", "2342 Lebedev", "3128 Obruchev", "3877 Braes", "247 Eukrate", "146 Lucina", "8787 Ignatenko", "3729 Yangzhou", "4622 Solovjova", "3475 Fichte", "1860 Barbarossa", "(145452) 2005 RN43", "4063 Euforbo", "1424 Sundmania", "2291 Kevo", "8 Flora", "852 Wladilena", "3129 Bonestell", "8059 Deliyannis", "3369 Freuchen", "375 Ursula", "4574 Yoshinaka", "5330 Senrikyu", "5798 Burnett", "3021 Lucubratio", "3992 Wagner", "4722 Agelaos", "2434 Bateson", "2222 Lermontov", "2412 Wil", "304 Olga", "1337 Gerarda", "29869 Chiarabarbara", "4826 Wilhelms", "3155 Lee", "8284 Cranach", "1197 Rhodesia", "13010 Germantitov", "2451 Dollfus", "4308 Magarach", "4131 Stasik", "2400 Derevskaya", "1398 Donnera", "3911 Otomo", "5406 Jonjoseph", "8128 Nicomachus", "1098 Hakone", "1613 Smiley", "7543 Prylis", "259 Aletheia", "18114 Rosenbush", "5435 Kameoka", "2305 King", "538 Friederike", "8000 Isaac Newton", "1459 Magnya", "11509 Thersilochos", "1839 Ragazza", "2863 Ben Mayer", "6025 Naotosato", "3296 Bosque Alegre", "3550 Link", "99 Dike", "7193 Yamaoka", "12443 Paulsydney", "7815 Dolon", "4349 Tibúrcio", "(229762) 2007 UK126", "4426 Roerich", "5043 Zadornov", "2731 Cucula", "2660 Wasserman", "91 Aegina", "49036 Pelion", "194 Prokne", "4803 Birkle", "2013 Tucapel", "6408 Saijo", "332 Siri", "3736 Rokoske", "1438 Wendeline", "1076 Viola", "1716 Peter", "3213 Smolensk", "6156 Dall", "2250 Stalingrad", "2346 Lilio", "3577 Putilin", "301 Bavaria", "4860 Gubbio", "1835 Gajdariya", "3913 Chemin", "3588 Kirik", "6188 Robertpepin", "(26308) 1998 SM165", "8387 Fujimori", "3540 Protesilaos", "6924 Fukui", "5419 Benua", "10888 Yamatano-orochi", "11251 Icarion", "3339 Treshnikov", "5957 Irina", "8814 Rosseven", "1787 Chiny", "3939 Huruhata", "1497 Tampere", "7483 Sekitakakazu", "3584 Aisha", "7950 Berezov", "4002 Shinagawa", "18228 Hyperenor", "6574 Gvishiani", "4325 Guest", "340 Eduarda", "2067 Aksnes", "351 Yrsa", "5919 Patrickmartin", "168 Sibylla", "222 Lucia", "3873 Roddy", "1431 Luanda", "3300 McGlasson", "2005 CB79", "3028 Zhangguoxi", "3694 Sharon", "3899 Wichterle", "4905 Hiromi", "14420 Massey", "246 Asporina", "2544 Gubarev", "3479 Malaparte", "2983 Poltava", "8062 Okhotsymskij", "4560 Klyuchevskij", "1309 Hyperborea", "5971 Tickell", "6989 Hoshinosato", "1118 Hanskya", "14274 Landstreet", "78 Diana", "2969 Mikula", "24603 Mekistheus", "9544 Scottbirney", "973 Aralia", "11739 Baton Rouge", "6345 Hideo", "2591 Dworetsky", "5519 Lellouch", "404 Arsinoë", "3389 Sinzot", "1326 Losaka", "1892 Lucienne", "6465 Zvezdotchet", "2948 Amosov", "773 Irmintraud", "11987 Yonematsu", "200 Dynamene", "2626 Belnika", "3037 Alku", "1177 Gonnessia", "7481 San Marcello", "2695 Christabel", "1616 Filipoff", "2526 Alisary", "4707 Khryses", "528 Rezia", "3178 Yoshitsune", "2002 Euler", "2116 Mtskheta", "3709 Polypoites", "49 Pales", "(182294) 2001 KU76", "2913 Horta", "(248835) 2006 SX368", "1667 Pels", "6475 Refugium", "1836 Komarov", "3142 Kilopi", "3150 Tosa", "4658 Gavrilov", "6980 Kyusakamoto", "2006 QH181", "2421 Nininger", "1828 Kashirina", "39 Laetitia", "6094 Hisako", "892 Seeligeria", "8041 Masumoto", "1226 Golia", "9297 Marchuk", "3761 Romanskaya", "1346 Gotha", "6645 Arcetri", "15512 Snyder", "2956 Yeomans", "1855 Korolev", "1078 Mentha", "1244 Deira", "2245 Hekatostos", "342 Endymion", "4196 Shuya", "485 Genua", "411 Xanthe", "418 Alemannia", "5637 Gyas", "1548 Palomaa", "4502 Elizabethann", "2095 Parsifal", "4140 Branham", "212 Medea", "1902 Shaposhnikov", "2701 Cherson", "2003 QX113", "694 Ekard", "3406 Omsk", "7994 Bethellen", "3049 Kuzbass", "12868 Onken", "2353 Alva", "8391 Kring", "5466 Makibi", "4568 Menkaure", "1590 Tsiolkovskaja", "(20161) 1996 TR66", "1895 Larink", "1999 Hirayama", "10353 Momotaro", "176 Iduna", "2986 Mrinalini", "29555 MACEK", "2895 Memnon", "2069 Hubble", "430 Hybris", "1609 Brenda", "596 Scheila", "1952 Hesburgh", "1381 Danubia", "3726 Johnadams", "3157 Novikov", "1265 Schweikarda", "4649 Sumoto", "8241 Agrius", "7322 Lavrentina", "3829 Gunma", "1574 Meyer", "7770 Siljan", "1815 Beethoven", "5059 Saroma", "2927 Alamosa", "3252 Johnny", "(86047) 1999 OY3", "5360 Rozhdestvenskij", "3035 Chambers", "11202 Teddunham", "13123 Tyson", "1077 Campanula", "4833 Meges", "2239 Paracelsus", "116 Sirona", "319 Leona", "2425 Shenzhen", "2251 Tikhov", "55701 Ukalegon", "1812 Gilgamesh", "1088 Mitaka", "3262 Miune", "2193 Jackson", "7549 Woodard", "2226 Cunitza", "2443 Tomeileen", "3118 Claytonsmith", "7233 Majella", "1187 Afra", "378 Holmia", "14206 Sehnal", "174 Phaedra", "2543 Machado", "2452 Lyot", "1334 Lundmarka", "1331 Solvejg", "13441 Janmerlin", "3502 Huangpu", "1987 Kaplan", "3606 Pohjola", "1456 Saldanha", "1993 Guacolda", "2108 Otto Schmidt", "1679 Nevanlinna", "329 Svea", "5565 Ukyounodaibu", "2157 Ashbrook", "2507 Bobone", "3065 Sarahill", "6193 Manabe", "1622 Chacornac", "2631 Zhejiang", "251 Sophia", "10007 Malytheatre", "6775 Giorgini", "5489 Oberkochen", "2578 Saint-Exupéry", "3803 Tuchkova", "2311 El Leoncito", "1290 Albertine", "5539 Limporyen", "31 Euphrosyne", "9712 Nauplius", "238 Hypatia", "1642 Hill", "1912 Anubis", "4452 Ullacharles", "470 Kilia", "1794 Finsen", "3626 Ohsaki", "8934 Nishimurajun", "8962 Noctua", "1426 Riviera", "7051 Sean", "28 Bellona", "381 Myrrha", "3544 Borodino", "4361 Nezhdanova", "1227 Geranium", "3560 Chenqian", "1411 Brauna", "7035 Gomi", "114 Kassandra", "1081 Reseda", "853 Nansenia", "2004 XR190", "2458 Veniakaverin", "12658 Peiraios", "1986 Plaut", "25 Phocaea", "3632 Grachevka", "6879 Hyogo", "368 Haidea", "2117 Danmark", "4870 Shcherban'", "33 Polyhymnia", "3820 Sauval", "6001 Thales", "6572 Carson", "5817 Robertfrazer", "441 Bathilde", "4151 Alanhale", "3273 Drukar", "1611 Beyer", "6077 Messner", "4498 Shinkoyama", "5259 Epeigeus", "10265 Gunnarsson", "7906 Melanchton", "12442 Beltramemass", "21557 Daniellitt", "1777 Gehrels", "2068 Dangreen", "5839 GOI", "6925 Susumu", "7485 Changchun", "5139 Rumoi", "2205 Glinka", "4003 Schumann", "6075 Zajtsev", "481 Emita", "4645 Tentaikojo", "2468 Repin", "1222 Tina", "1262 Sniadeckia", "4369 Seifert", "6390 Hirabayashi", "2576 Yesenin", "5204 Herakleitos", "(308933) 2006 SQ372", "5234 Sechenov", "9818 Eurymachos", "8804 Eliason", "4467 Kaidanovskij", "4466 Abai", "1996 Adams", "1581 Abanderada", "1333 Cevenola", "335 Roberta", "4345 Rachmaninoff", "1825 Klare", "4506 Hendrie", "1603 Neva", "1097 Vicia", "3415 Danby", "1074 Beljawskya", "1295 Deflotte", "2771 Polzunov", "71 Niobe", "720 Bohlinia", "226 Weringia", "6464 Kaburaki", "6770 Fugate", "1572 Posnania", "5289 Niemela", "4051 Hatanaka", "54 Alexandra", "1210 Morosovia", "1937 Locarno", "4892 Chrispollas", "23 Thalia", "1057 Wanda", "1589 Fanatica", "4118 Sveta", "5436 Eumelos", "4301 Boyden", "5198 Fongyunwah", "589 Croatia", "1946 Walraven", "944 Hidalgo", "6722 Bunichi", "1215 Boyer", "256 Walpurga", "1829 Dawson", "542 Susanna", "59 Elpis", "1361 Leuschneria", "7811 Zhaojiuzhang", "2634 James Bradley", "8906 Yano", "3419 Guth", "310 Margarita", "2010 Chebyshev", "(3708) 1974 FV1", "6042 Cheshirecat", "7215 Gerhard", "4194 Sweitzer", "591 Irmgard", "2681 Ostrovskij", "3910 Liszt", "1701 Okavango", "104 Klymene", "4758 Hermitage", "1504 Lappeenranta", "6670 Wallach", "3440 Stampfer", "1726 Hoffmeister", "854 Frostia", "7895 Kaseda", "2776 Baikal", "1373 Cincinnati", "9023 Mnesthus", "185 Eunike", "3712 Kraft", "1614 Goldschmidt", "4969 Lawrence", "4234 Evtushenko", "(202421) 2005 UQ513", "5502 Brashear", "5592 Oshima", "3791 Marci", "4848 Tutenchamun", "4195 Esambaev", "7269 Alprokhorov", "6619 Kolya", "4043 Perolof", "15939 Fessenden", "349 Dembowska", "1025 Riema", "1533 Saimaa", "2206 Gabrova", "397 Vienna", "1268 Libya", "361 Bononia", "2020 Ukko", "2349 Kurchenko", "1495 Helsinki", "1058 Grubba", "7037 Davidlean", "8712 Suzuko", "5619 Shair", "2236 Austrasia", "2092 Sumiana", "6941 Dalgarno", "5772 Johnlambert", "3126 Davydov", "1694 Kaiser", "4181 Kivi", "93 Minerva", "64 Angelina", "322 Phaeo", "13808 Davewilliams", "21062 Iasky", "4711 Kathy", "4074 Sharkov", "3447 Burckhalter", "1427 Ruvuma", "3750 Ilizarov", "3713 Pieters", "6366 Rainerwieler", "2757 Crisser", "34 Circe", "79 Eurynome", "1122 Neith", "18365 Shimomoto", "4327 Ries", "1647 Menelaus", "248 Lameia", "4036 Whitehouse", "4771 Hayashi", "3516 Rusheva", "198 Ampella", "5833 Peterson", "7378 Herbertpalme", "7214 Anticlus", "463 Lola", "2600 Lumme", "1962 Dunant", "7487 Toshitanaka", "3186 Manuilova", "4624 Stefani", "1907 Rudneva", "1026 Ingrid", "1819 Laputa", "4856 Seaborg", "11147 Delmas", "273 Atropos", "5337 Aoki", "2684 Douglas", "1776 Kuiper", "1095 Tulipa", "18871 Grauer", "3597 Kakkuri", "1394 Algoa", "1525 Savonlinna", "2190 Coubertin", "2566 Kirghizia", "6869 Funada", "4889 Praetorius", "60558 Echeclus", "4867 Polites", "2557 Putnam", "1995 GJ", "5012 Eurymedon", "1278 Kenya", "3120 Dangrania", "1437 Diomedes", "516 Amherstia", "1327 Namaqua", "4730 Xingmingzhou", "(126154) 2001 YH140", "426 Hippo", "6606 Makino", "26057 Ankaios", "352 Gisela", "2323 Zverev", "2653 Principia", "6 Hebe", "14902 Miyairi", "7674 Kasuga", "7066 Nessus", "1499 Pori", "6106 Stoss", "1267 Geertruida", "5780 Lafontaine", "1993 RO", "1675 Simonida", "4832 Palinurus", "4747 Jujo", "4998 Kabashima", "1688 Wilkens", "5161 Wightman", "7253 Nara", "336 Lacadiera", "5696 Ibsen", "1665 Gaby", "163 Erigone", "3184 Raab", "10331 Peterbluhm", "3505 Byrd", "1993 RP", "204 Kallisto", "2471 Ultrajectum", "2405 Welch", "3647 Dermott", "54598 Bienor", "Ceres", "5532 Ichinohe", "2816 Pien", "1585 Union", "4013 Ogiria", "4207 Chernova", "3170 Dzhanibekov", "2929 Harris", "2616 Lesya", "2617 Jiangxi", "(52747) 1998 HM151", "2027 Shen Guo", "4236 Lidov", "459 Signe", "11949 Kagayayutaka", "1111 Reinmuthia", "6604 Ilias", "2585 Irpedina", "6287 Lenham", "5274 Degewij", "6400 Georgealexander", "3779 Kieffer", "2903 Zhuhai", "4745 Nancymarie", "3241 Yeshuhua", "396 Aeolia", "23355 Elephenor", "3422 Reid", "6723 Chrisclark", "4770 Lane", "7710 Ishibashi", "3039 Yangel", "2255 Qinghai", "8537 Billochbull", "120 Lachesis", "2373 Immo", "229 Adelinda", "3167 Babcock", "4973 Showa", "4647 Syuji", "4963 Kanroku", "2683 Brian", "14669 Beletic", "355 Gabriella", "4768 Hartley", "12003 Hideosugai", "2352 Kurchatov", "4152 Weber", "8048 Andrle", "1940 Whipple", "1621 Druzhba", "300 Geraldina", "1214 Richilde", "3976 Lise", "270 Anahita", "8133 Takanochoei", "4907 Zoser", "3119 Dobronravin", "2270 Yazhi", "1587 Kahrstedt", "2223 Sarpedon", "1918 Aiguillon", "2386 Nikonov", "1269 Rollandia", "6006 Anaximandros", "260 Huberta", "13184 Augeias", "4357 Korinthos", "4382 Stravinsky", "2791 Paradise", "1191 Alfaterna", "4192 Breysacher", "6385 Martindavid", "46 Hestia", "1977 Shura", "55678 Lampos", "2333 Porthan", "2717 Tellervo", "2677 Joan", "117 Lomia", "9175 Graun", "5367 Sollenberger", "4399 Ashizuri", "1893 Jakoba", "2727 Paton", "1347 Patria", "5555 Wimberly", "3445 Pinson", "2749 Walterhorn", "552 Sigelinde", "7692 Edhenderson", "7469 Krikalev", "1510 Charlois", "(24978) 1998 HJ151", "1869 Philoctetes", "4162 SAF", "2415 Ganesa", "4501 Eurypylos", "5115 Frimout", "4057 Demophon", "2057 Rosemary", "1913 Sekanina", "5805 Glasgow", "22177 Saotome", "2312 Duboshin", "5638 Deikoon", "15427 Shabas", "4505 Okamura", "5677 Aberdonia", "2630 Hermod", "1891 Gondola", "(42301) 2001 UR163", "1672 Gezelle", "2043 Ortutay", "9936 Al-Biruni", "3545 Gaffey", "1458 Mineura", "86 Semele", "3678 Mongmanwai", "2184 Fujian", "1898 Cowell", "25302 Niim", "2401 Aehlita", "2439 Ulugbek", "1508 Kemi", "Romulus", "10989 Dolios", "1485 Isa", "5122 Mucha", "337 Devosa", "772 Tanete", "4430 Govorukhin", "4078 Polakis", "1690 Mayrhofer", "400 Ducrosa", "4313 Bouchet", "16449 Kigoyama", "4557 Mika", "1911 Schubart", "7923 Chyba", "10412 Tsukuyomi", "1848 Delvaux", "2515 Gansu", "2839 Annette", "265 Anna", "155 Scylla", "1318 Nerina", "3347 Konstantin", "5303 Parijskij", "3830 Trelleborg", "804 Hispania", "1998 Titius", "2208 Pushkin", "2541 Edebono", "252 Clementina", "1501 Baade", "12562 Briangrazer", "4454 Kumiko", "6890 Savinykh", "19081 Mravinskij", "12657 Bonch-Bruevich", "1664 Felix", "4840 Otaynang", "3871 Reiz", "1056 Azalea", "297 Caecilia", "6820 Buil", "5881 Akashi", "3717 Thorenia", "3329 Golay", "341 California", "6984 Lewiscarroll", "63 Ausonia", "4170 Semmelweis", "6321 Namuratakao", "20000 Varuna", "69 Hesperia", "20961 Arkesilaos", "6398 Timhunter", "1063 Aquilegia", "8340 Mumma", "17492 Hippasos", "58096 Oineus", "2387 Xi'an", "4353 Onizaki", "5286 Haruomukai", "2939 Coconino", "2325 Chernykh", "325 Heidelberga", "275 Sapientia", "13772 Livius", "3315 Chant", "5106 Mortensen", "2364 Seillier", "4509 Gorbatskij", "439 Ohio", "5578 Takakura", "7278 Shtokolov", "7182 Robinvaughan", "1239 Queteleta", "2679 Kittisvaara", "5526 Kenzo", "6837 Bressi", "4050 Mebailey", "7583 Rosegger", "1539 Borrelly", "13220 Kashiwagura", "4285 Hulkower", "1061 Paeonia", "527 Euryanthe", "835 Olivia", "2932 Kempchinsky", "5154 Leonov", "3923 Radzievskij", "10069 Fontenelle", "7592 Takinemachi", "4846 Tuthmosis", "4266 Waltari", "2741 Valdivia", "1502 Arenda", "5294 Onnetoh", "234 Barbara", "4619 Polyakhova", "4381 Uenohara", "4007 Euryalos", "2430 Bruce Helin", "2700 Baikonur", "2490 Bussolini", "872 Holda", "5800 Pollock", "6245 Ikufumi", "3431 Nakano", "2530 Shipka", "195 Eurykleia", "5698 Nolde", "3223 Forsius", "2950 Rousseau", "3476 Dongguan", "(145453) 2005 RR43", "17855 Geffert", "3645 Fabini", "3066 McFadden", "10199 Chariklo", "3901 Nanjingdaxue", "2573 Hannu Olavi", "353 Ruperto-Carola", "137 Meliboea", "1119 Euboea", "7468 Anfimov", "10306 Pagnol", "207 Hedda", "2375 Radek", "141 Lumen", "8405 Asbolus", "1462 Zamenhof", "2103 Laverna", "2755 Avicenna", "4105 Tsia", "2172 Plavsk", "1488 Aura", "4342 Freud", "4485 Radonezhskij", "3730 Hurban", "660 Crescentia", "2546 Libitina", "1968 Mehltretter", "894 Erda", "2118 Flagstaff", "32811 Apisaon", "11552 Boucolion", "6931 Kenzaburo", "2105 Gudy", "5301 Novobranets", "8295 Toshifukushima", "1090 Sumida", "296 Phaëtusa", "16439 Yamehoshinokawa", "3045 Alois", "11528 Mie", "14342 Iglika", "2104 Toronto", "1002 Olbersia", "12583 Buckjean", "6359 Dubinin", "8502 Bauhaus", "1073 Gellivara", "13224 Takamatsuda", "2567 Elba", "2836 Sobolev", "6886 Grote", "3246 Bidstrup", "3274 Maillen", "1376 Michelle", "6720 Gifu", "55 Pandora", "5446 Heyler", "1961 Dufour", "2707 Ueferji", "2724 Orlov", "954 Li", "2407 Haug", "5651 Traversa", "1795 Woltjer", "190 Ismene", "1698 Christophe", "1816 Liberia", "5041 Theotes", "3215 Lapko", "3608 Kataev", "12972 Eumaios", "2358 Bahner", "3011 Chongqing", "10370 Hylonome", "5151 Weerstra", "1984 Fedynskij", "4821 Bianucci", "4831 Baldwin", "2743 Chengdu", "984 Gretia", "3151 Talbot", "384 Burdigala", "1436 Salonta", "3958 Komendantov", "2288 Karolinum", "5422 Hodgkin", "291 Alice", "5028 Halaesus", "1758 Naantali", "16157 Toastmasters", "9180 Samsagan", "140 Siwa", "4164 Shilov", "227 Philosophia", "95 Arethusa", "4962 Vecherka", "21555 Levary", "9661 Hohmann", "4511 Rembrandt", "1670 Minnaert", "2517 Orma", "4176 Sudek", "11151 Oodaigahara", "6199 Yoshiokayayoi", "1655 Comas Solà", "1521 Seinäjoki", "2271 Kiso", "10 Hygiea", "1528 Conrada", "4104 Alu", "3094 Chukokkala", "1371 Resi", "3990 Heimdal", "30 Urania", "241 Germania", "14424 Laval", "515 Athalia", "4797 Ako", "1847 Stobbe", "5670 Rosstaylor", "4193 Salanave", "1479 Inkeri", "7928 Bijaoui", "1232 Cortusa", "3649 Guillermina", "3995 Sakaino", "1715 Salli", "2248 Kanda", "83 Beatrix", "123 Brunhild", "14917 Taco", "8813 Leviathan", "6560 Pravdo", "4423 Golden", "6983 Komatsusakyo", "3689 Yeates", "1650 Heckmann", "6500 Kodaira", "9193 Geoffreycopland", "6346 Syukumeguri", "10608 Mameta", "8374 Horohata", "624 Hektor", "3526 Jeffbell", "3924 Birch", "1342 Brabantia", "1255 Schilowa", "1069 Planckia", "188 Menippe", "4512 Sinuhe", "408 Fama", "37 Fides", "2241 Alcathous", "1328 Devota", "1748 Mauderli", "3140 Stellafane", "145 Adeona", "38083 Rhadamanthus", "2097 Galle", "3497 Innanen", "1489 Attila", "3341 Hartmann", "1332 Marconia", "1079 Mimosa", "282 Clorinde", "2833 Radishchev", "4235 Tatishchev", "4844 Matsuyama", "5249 Giza", "1194 Aletta", "1254 Erfordia", "7536 Fahrenheit", "2832 Lada", "1805 Dirikis", "3548 Eurybates", "2252 CERGA", "2230 Yunnan", "1956 Artek", "2959 Scholl", "154 Bertha", "415 Palatia", "1663 van den Bos", "13093 Wolfgangpauli", "5039 Rosenkavalier", "5832 Martaprincipe", "2197 Shanghai", "1872 Helenos", "7176 Kuniji", "4958 Wellnitz", "250 Bettina", "2355 Nei Monggol", "4526 Konko", "3089 Oujianquan", "4613 Mamoru", "271 Penthesilea", "314 Rosalia", "119 Althaea", "442 Eichsfeldia", "3078 Horrocks", "2186 Keldysh", "268 Adorea", "8130 Seeberg", "2091 Sampo", "5807 Mshatka", "5591 Koyo", "5083 Irinara", "5465 Chumakov", "5061 McIntosh", "(82075) 2000 YW134", "4409 Kissling", "419 Aurelia", "(9970) 1992 ST1", "2008 KV42", "4845 Tsubetsu", "5759 Zoshchenko", "177 Irma", "1671 Chaika", "1628 Strobel", "3080 Moisseiev", "8184 Luderic", "166 Rhodope", "6299 Reizoutoyoko", "1429 Pemba", "2669 Shostakovich", "3866 Langley", "4365 Ivanova", "5244 Amphilochos", "4763 Ride", "41488 Sindbad", "167 Urda", "4880 Tovstonogov", "3395 Jitka", "1801 Titicaca", "6030 Zolensky", "1068 Nofretete", "1543 Bourgeois", "1432 Ethiopia", "210 Isabella", "3907 Kilmartin", "5413 Smyslov", "5024 Bechmann", "2878 Panacea", "2164 Lyalya", "5692 Shirao", "4751 Alicemanning", "2920 Automedon", "3883 Verbano", "10654 Bontekoe", "287 Nephthys", "3391 Sinon", "56 Melete", "237 Coelestina", "4547 Massachusetts", "2964 Jaschek", "5439 Couturier", "4896 Tomoegozen", "537 Pauly", "1403 Idelsonia", "433 Eros", "23030 Jimkennedy", "6300 Hosamu", "339 Dorothea", "55676 Klythios", "51 Nemausa", "3585 Goshirakawa", "5013 Suzhousanzhong", "12766 Paschen", "6247 Amanogawa", "4642 Murchie", "1207 Ostenia", "1909 Alekhin", "4566 Chaokuangpiu", "3801 Thrasymedes", "6535 Archipenko", "281 Lucretia", "19913 Aigyptios", "2107 Ilmari", "1540 Kevola", "6827 Wombat", "7205 Sadanori", "7887 Bratfest", "1813 Imhotep", "8234 Nobeoka", "2207 Antenor", "1212 Francette", "6423 Harunasan", "3460 Ashkova", "2781 Kleczek", "4716 Urey", "1419 Danzig", "1243 Pamela", "6972 Helvetius", "4834 Thoas", "4598 Coradini", "24587 Kapaneus", "3313 Mendel", "1519 Kajaani", "6557 Yokonomura", "3561 Devine", "1594 Danjon", "3020 Naudts", "1393 Sofala", "1225 Ariane", "448 Natalie", "3401 Vanphilos", "94 Aurora", "2003 Harding", "3614 Tumilty", "3525 Paul", "4263 Abashiri", "406 Erna", "5944 Utesov", "3609 Liloketai", "2646 Abetti", "5029 Ireland", "2308 Schilt", "9423 Abt", "6499 Michiko", "5576 Albanese", "431 Nephele", "4059 Balder", "3887 Gerstner", "3062 Wren", "4836 Medon", "5240 Kwasan", "2259 Sofievka", "14791 Atreus", "10227 Izanami", "5070 Arai", "3922 Heather", "2615 Saito", "363 Padua", "4853 Marielukac", "126 Velleda", "13915 Yalow", "3556 Lixiaohua", "1320 Impala", "2007 JH43", "2306 Bauschinger", "2933 Amber", "5090 Wyeth", "307 Nike", "(85627) 1998 HP151", "5134 Ebilson", "451 Patientia", "762 Pulcova", "2725 David Bender", "3874 Stuart", "3198 Wallonia", "10293 Pribina", "2304 Slavia", "9155 Verkhodanov", "2445 Blazhko", "244 Sita", "6364 Casarini", "32532 Thereus", "3631 Sigyn", "7198 Montelupo", "1834 Palach", "75 Eurydike", "4554 Fanynka", "3491 Fridolin", "3793 Leonteus", "7476 Ogilsbie", "4244 Zakharchenko", "(131696) 2001 XT254", "6309 Elsschot", "8866 Tanegashima", "7616 Sadako", "313 Chaldaea", "1950 Wempe", "16144 Korsten", "3558 Shishkin", "3396 Muazzez", "5014 Gorchakov", "1325 Inanda", "(79983) 1999 DF9", "(55638) 2002 VE95", "1784 Benguella", "2331 Parvulesco", "869 Mellena", "7314 Pevsner", "6959 Mikkelkocha", "2085 Henan", "201 Penelope", "2121 Sevastopol", "2713 Luxembourg", "1410 Margret", "1637 Swings", "1323 Tugela", "5247 Krylov", "6113 Tsap", "1116 Catriona", "5416 Estremadoyro", "3662 Dezhnev", "2891 McGetchin", "4343 Tetsuya", "3468 Urgenta", "5468 Hamatonbetsu", "243 Ida", "4260 Yanai", "5145 Pholus", "7206 Shiki", "5170 Sissons", "2666 Gramme", "5474 Gingasen", "1087 Arabis", "6340 Kathmandu", "733 Mocia", "2636 Lassell", "6832 Kawabata", "171 Ophelia", "1242 Zambesia", "13917 Correggia", "199 Byblis", "3886 Shcherbakovia", "8175 Boerhaave", "5962 Shikokutenkyo", "5959 Shaklan", "9090 Chirotenmondai", "863 Benkoela", "1491 Balduinus", "8660 Sano", "4191 Assesse", "1874 Kacivelia", "434 Hungaria", "32720 Simoeisios", "4903 Ichikawa", "2702 Batrakov", "58 Concordia", "6124 Mecklenburg", "15651 Tlepolemos", "2338 Bokhan", "8045 Kamiyama", "320 Katharina", "2001 QF298", "3365 Recogne", "105 Artemis", "(225088) 2007 OR10", "5157 Hindemith", "5838 Hamsun", "1711 Sandrine", "2831 Stevin", "5570 Kirsan", "4569 Baerbel", "3243 Skytel", "1442 Corvina", "1571 Cesco", "3310 Patsy", "1400 Tirela", "214 Aschera", "14989 Tutte", "6882 Sormano", "4259 McCoy", "2880 Nihondaira", "6143 Pythagoras", "6462 Myougi", "5192 Yabuki", "3219 Komaki", "3696 Herald", "3285 Ruth Wolfe", "4522 Britastra", "3925 Tret'yakov", "436 Patricia", "4056 Timwarner", "1404 Ajax", "7110 Johnpearse", "4866 Badillo", "1612 Hirose", "3675 Kemstach", "2225 Serkowski", "4402 Tsunemori", "85030 Admetos", "4261 Gekko", "1110 Jaroslawa", "6910 Ikeguchi", "36 Atalante", "3325 TARDIS", "1143 Odysseus", "3259 Brownlee", "1541 Estonia", "1280 Baillauda", "7991 Kaguyahime", "(184212) 2004 PB112", "1646 Rosseland", "4717 Kaneko", "5199 Dortmund", "8593 Angustirostris", "11911 Angel", "11321 Tosimatumoto", "6237 Chikushi", "262 Valda", "7736 Nizhnij Novgorod", "19034 Santorini", "5900 Jensen", "1482 Sebastiana", "3776 Vartiovuori", "4474 Proust", "3010 Ushakov", "926 Imhilde", "6389 Ogawa", "1997 SZ10", "5470 Kurtlindstrom", "3095 Omarkhayyam", "4813 Terebizh", "1702 Kalahari", "318 Magdalena", "181 Eucharis", "350 Ornamenta", "6153 Hershey", "6953 Davepierce", "423 Diotima", "6129 Demokritos", "3171 Wangshouguan", "6052 Junichi", "7061 Pieri", "3846 Hazel", "16528 Terakado", "2109 Dhotel", "6051 Anaximenes", "3250 Martebo", "18268 Dardanos", "1512 Oulu", "2995 Taratuta", "2294 Andronikov", "354 Eleonora", "13096 Tigris", "2466 Golson", "(24835) 1995 SM55", "10811 Lau", "2979 Murmansk", "13146 Yuriko", "9142 Rhesus", "4829 Sergestus", "1854 Skvortsov", "9609 Ponomarevalya", "3328 Interposita", "1697 Koskenniemi", "1487 Boda", "338 Budrosa", "1833 Shmakova", "6374 Beslan", "1080 Orchis", "2203 van Rhijn", "9694 Lycomedes", "1183 Jutta", "10664 Phemios", "1315 Bronislawa", "3324 Avsyuk", "5709 Tamyeunleung", "1659 Punkaharju", "2307 Garuda", "135 Hertha", "5890 Carlsberg", "1817 Katanga", "84 Klio", "14338 Shibakoukan", "1401 Lavonne", "52 Europa", "1559 Kustaanheimo", "3442 Yashin", "15631 Dellorusso", "1773 Rumpelstilz", "15499 Cloyd", "347 Pariana", "3420 Standish", "2678 Aavasaksa", "5304 Bazhenov", "2562 Chaliapin", "4782 Gembloux", "98 Ianthe", "4540 Oriani", "284 Amalia", "(145451) 2005 RM43", "10426 Charlierouse", "2232 Altaj", "4657 Lopez", "3441 Pochaina", "445 Edna", "5140 Kida", "2137 Priscilla", "12214 Miroshnikov", "(303775) 2005 QU182", "27922 Mascheroni", "2045 Peking", "20898 Fountainhills", "6830 Johnbackus", "(47171) 1999 TC36", "4805 Asteropaios", "1266 Tone", "1734 Zhongolovich", "7318 Dyukov", "1276 Ucclia", "2465 Wilson", "2908 Shimoyama", "2917 Sawyer Hogg", "5567 Durisen", "1100 Arnica", "9828 Antimachos", "6786 Doudantsutsuji", "4084 Hollis", "4379 Snelling", "2463 Sterpin", "2234 Schmadel", "2993 Wendy", "3134 Kostinsky", "1888 Zu Chong-Zhi", "704 Interamnia", "5571 Lesliegreen", "112 Iphigenia", "3174 Alcock", "42403 Andraimon", "3916 Maeva", "2000 Herschel", "10116 Robertfranz", "10388 Zhuguangya", "5231 Verne", "6990 Toya", "9562 Memling", "10637 Heimlich", "7756 Scientia", "109 Felicitas", "157 Dejanira", "14446 Kinkowan", "5652 Amphimachus", "3025 Higson", "3797 Ching-Sung Yu", "1249 Rutherfordia", "2008 Konstitutsiya", "1384 Kniertje", "3580 Avery", "2673 Lossignol", "38628 Huya", "26984 Fernand-Roland", "1200 Imperatrix", "422 Berolina", "3933 Portugal", "4592 Alkissia", "5117 Mokotoyama", "2985 Shakespeare", "362 Havnia", "4115 Peternorton", "18156 Kamisaibara", "1954 Kukarkin", "164 Eva", "276 Adelheid", "1939 Loretta", "428 Monachia", "73 Klytia", "2726 Kotelnikov", "3570 Wuyeesun", "1576 Fabiola", "65 Cybele", "6838 Okuda", "348 May", "5837 Hedin", "3444 Stepanian", "1881 Shao", "2078 Nanking", "3191 Svanetia", "16507 Fuuren", "5354 Hisayo", "12352 Jepejacobsen", "5113 Kohno", "3767 DiMaggio", "2767 Takenouchi", "9 Metis", "10148 Shirase", "3655 Eupraksia", "1592 Mathieu", "223 Rosa", "468 Lina", "737 Arequipa", "12104 Chesley", "2654 Ristenpart", "5208 Royer", "7124 Glinos", "6403 Steverin", "32222 Charlesvest", "1989 Tatry", "4389 Durbin", "5118 Elnapoul", "2511 Patterson", "392 Wilhelmina", "1560 Strattonia", "(120132) 2003 FY128", "4075 Sviridov", "(91133) 1998 HK151", "2361 Gogol", "1208 Troilus", "2054 Gawain", "7650 Kaname", "1313 Berna", "5922 Shouichi", "3601 Velikhov", "6326 Idamiyoshi", "5461 Autumn", "4427 Burnashev", "3781 Dufek", "1170 Siva", "4530 Smoluchowski", "5794 Irmina", "3509 Sanshui", "3044 Saltykov", "8582 Kazuhisa", "7544 Tipografiyanauka", "4539 Miyagino", "2690 Ristiina", "2753 Duncan", "5092 Manara", "19848 Yeungchuchiu", "1930 Lucifer", "5947 Bonnie", "7143 Haramura", "5632 Ingelehmann", "15663 Periphas", "3985 Raybatson", "2056 Nancy", "3832 Shapiro", "1392 Pierre", "6228 Yonezawa", "5035 Swift", "17184 Carlrogers", "2686 Linda Susan", "8380 Tooting", "1260 Walhalla", "6590 Barolo", "12279 Laon", "3277 Aaronson", "2931 Mayakovsky", "3222 Liller", "5942 Denzilrobert", "1317 Silvretta", "2594 Acamas", "4223 Shikoku", "324 Bamberga", "3426 Seki", "5662 Wendycalvin", "4804 Pasteur", "1557 Roehla", "12395 Richnelson", "4673 Bortle", "3966 Cherednichenko", "2477 Biryukov", "2052 Tamriko", "2860 Pasacentennium", "3809 Amici", "1737 Severny", "2711 Aleksandrov", "7735 Scorzelli", "32726 Chromios", "74 Galatea", "8915 Sawaishujiro", "217 Eudora", "303 Josephina", "2088 Sahlia", "5079 Brubeck", "4612 Greenstein", "1103 Sequoia", "2001 QR322", "4085 Weir", "3335 Quanzhou", "4110 Keats", "1691 Oort", "2090 Mizuho", "(90568) 2004 GV9", "1234 Elyna", "96 Aegle", "295 Theresia", "6420 Riheijyaya", "1084 Tamariwa", "7602 Yidaeam", "7359 Messier", "162 Laurentia", "13739 Nancyworden", "3371 Giacconi", "473 Nolli", "76 Freia", "1288 Santa", "3363 Bowen", "12649 Ascanios", "8941 Junsaito", "19 Fortuna", "10025 Rauer", "4455 Ruriko", "380 Fiducia", "1229 Tilia", "2996 Bowman", "5923 Liedeke", "1723 Klemola", "2533 Fechtig", "31020 Skarupa", "6730 Ikeda", "768 Struveana", "3856 Lutskij", "3568 ASCII", "1868 Thersites", "72 Feronia", "2519 Annagerman", "3788 Steyaert", "4696 Arpigny", "1287 Lorcia", "(35671) 1998 SN165", "1871 Astyanax", "563 Suleika", "3508 Pasternak", "4106 Nada", "4863 Yasutani", "110 Lydia", "6576 Kievtech", "129 Antigone", "2476 Andersen", "1386 Storeria", "228 Agathe", "1683 Castafiore", "160 Una", "1648 Shajna", "1457 Ankara", "150 Nuwa", "1745 Ferguson", "47 Aglaja", "3008 Nojiri", "2015 Kachuevskaya", "4457 van Gogh", "5547 Acadiau", "3946 Shor", "4122 Ferrari", "631 Philippina", "2381 Landi", "4516 Pugovkin", "1415 Malautra", "2005 Hencke" ], "function": "<=", "commonness": -12.763596851037466, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.star_system_body", "class": "astronomy.star_system_body", "friendly_name": "Star system body", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "12.629^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "12.629", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "astronomy.star_system_body.absolute_magnitude", "friendly_name": "Absolute magnitude" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :astronomy.star_system_body . \nFILTER (?x1 <= 12.629)\n?x0 :astronomy.star_system_body.absolute_magnitude ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 134000400, "question": "list exoplanets whose absolute magnitude is no more than 12.629.", "answer": [ "279 Thule", "1062 Ljuba", "1036 Ganymed", "3933 Portugal", "1578 Kirkwood", "4673 Bortle", "3334 Somov", "2425 Shenzhen", "4457 van Gogh", "341 California", "6820 Buil", "4244 Zakharchenko", "(119068) 2001 KC77", "3702 Trubetskaya", "3846 Hazel", "293 Brasilia", "5161 Wightman", "2718 Handley", "9845 Okamuraosamu", "4105 Tsia", "476 Hedwig", "255 Oppavia", "5041 Theotes", "467 Laura", "374 Burgundia", "1212 Francette", "2 Pallas", "3638 Davis", "4266 Waltari", "11987 Yonematsu", "1243 Pamela", "1196 Sheba", "8205 Van Dijck", "38628 Huya", "4592 Alkissia", "2158 Tietjen", "1812 Gilgamesh", "3786 Yamada", "201 Penelope", "85030 Admetos", "1395 Aribeda", "7414 Bosch", "23383 Schedios", "6077 Messner", "3501 Olegiya", "40 Harmonia", "213 Lilaea", "579 Sidonia", "468 Lina", "1948 Kampala", "3568 ASCII", "4175 Billbaum", "5931 Zhvanetskij", "5947 Bonnie", "14342 Iglika", "3885 Bogorodskij", "3746 Heyuan", "3780 Maury", "4529 Webern", "4730 Xingmingzhou", "4410 Kamuimintara", "330 Adalberta", "23030 Jimkennedy", "3032 Evans", "7206 Shiki", "12561 Howard", "2796 Kron", "4717 Kaneko", "1501 Baade", "26821 Baehr", "8060 Anius", "5293 Bentengahama", "1913 Sekanina", "5942 Denzilrobert", "347 Pariana", "5225 Loral", "158 Koronis", "196 Philomela", "4271 Novosibirsk", "7193 Yamaoka", "6024 Ochanomizu", "4642 Murchie", "9117 Aude", "1834 Palach", "47 Aglaja", "2230 Yunnan", "6390 Hirabayashi", "3444 Stepanian", "405 Thia", "3750 Ilizarov", "52 Europa", "912 Maritima", "4169 Celsius", "41 Daphne", "2132 Zhukov", "1690 Mayrhofer", "1898 Cowell", "5149 Leibniz", "7305 Ossakajusto", "1188 Gothlandia", "4967 Glia", "1281 Jeanne", "6375 Fredharris", "4347 Reger", "7210 Darius", "2890 Vilyujsk", "399 Persephone", "3665 Fitzgerald", "2636 Lassell", "2244 Tesla", "3801 Thrasymedes", "5711 Eneev", "1584 Fuji", "154 Bertha", "2618 Coonabarabran", "3540 Protesilaos", "2325 Chernykh", "3227 Hasegawa", "2007 NC7", "2767 Takenouchi", "1101 Clematis", "2755 Avicenna", "290 Bruna", "3132 Landgraf", "36 Atalante", "3899 Wichterle", "2948 Amosov", "1113 Katja", "226 Weringia", "6770 Fugate", "1594 Danjon", "2893 Peiroos", "13 Egeria", "398 Admete", "5419 Benua", "316 Goberta", "2121 Sevastopol", "1745 Ferguson", "10007 Malytheatre", "289 Nenetta", "3471 Amelin", "1088 Mitaka", "1234 Elyna", "4828 Misenus", "3317 Paris", "64 Angelina", "4867 Polites", "552 Sigelinde", "893 Leopoldina", "214 Aschera", "4848 Tutenchamun", "1239 Queteleta", "3705 Hotellasilla", "4820 Fay", "394 Arduina", "1596 Itzigsohn", "4829 Sergestus", "2576 Yesenin", "2095 Parsifal", "55 Pandora", "1495 Helsinki", "403 Cyane", "3950 Yoshida", "55678 Lampos", "4891 Blaga", "3689 Yeates", "12583 Buckjean", "6937 Valadon", "21062 Iasky", "16507 Fuuren", "5976 Kalatajean", "8175 Boerhaave", "4782 Gembloux", "1104 Syringa", "3297 Hong Kong", "264 Libussa", "542 Susanna", "24603 Mekistheus", "1109 Tata", "1855 Korolev", "4315 Pronik", "5372 Bikki", "4628 Laplace", "16449 Kigoyama", "11652 Johnbrownlee", "1059 Mussorgskia", "9828 Antimachos", "227 Philosophia", "5295 Masayo", "7167 Laupheim", "1098 Hakone", "1428 Mombasa", "5204 Herakleitos", "1609 Brenda", "414 Liriope", "1997 SZ10", "6975 Hiroaki", "(15875) 1996 TP66", "5542 Moffatt", "5623 Iwamori", "6340 Kathmandu", "4156 Okadanaboru", "3420 Standish", "23382 Epistrophos", "1063 Aquilegia", "4770 Lane", "46 Hestia", "4286 Rubtsov", "1398 Donnera", "12352 Jepejacobsen", "6439 Tirol", "2382 Nonie", "7750 McEwen", "4679 Sybil", "2003 Harding", "6500 Kodaira", "3136 Anshan", "1434 Margot", "3055 Annapavlova", "6143 Pythagoras", "6359 Dubinin", "(145480) 2005 TB190", "1641 Tana", "206 Hersilia", "(145452) 2005 RN43", "4460 Bihoro", "(19308) 1996 TO66", "4557 Mika", "21602 Ialmenus", "10265 Gunnarsson", "6532 Scarfe", "(119070) 2001 KP77", "4194 Sweitzer", "1349 Bechuana", "21587 Christopynn", "3759 Piironen", "3312 Pedersen", "3346 Gerla", "4126 Mashu", "1291 Phryne", "1910 Mikhailov", "3234 Hergiani", "3345 Tarkovskij", "16035 Sasandford", "2016 Heinemann", "2149 Schwambraniya", "2490 Bussolini", "1488 Aura", "6306 Nishimura", "7152 Euneus", "1437 Diomedes", "3150 Tosa", "5029 Ireland", "245 Vera", "4193 Salanave", "32222 Charlesvest", "2700 Baikonur", "1655 Comas Solà", "12714 Alkimos", "2003 QX113", "26057 Ankaios", "1961 Dufour", "7485 Changchun", "3545 Gaffey", "2801 Huygens", "1194 Aletta", "2981 Chagall", "2976 Lautaro", "54598 Bienor", "1315 Bronislawa", "7766 Jododaira", "12658 Peiraios", "352 Gisela", "3731 Hancock", "1187 Afra", "3088 Jinxiuzhonghua", "5900 Jensen", "5182 Bray", "3866 Langley", "73 Klytia", "3449 Abell", "9713 Oceax", "3504 Kholshevnikov", "2003 UZ413", "2638 Gadolin", "2711 Aleksandrov", "5215 Tsurui", "1653 Yakhontovia", "4467 Kaidanovskij", "3034 Climenhaga", "4603 Bertaud", "1440 Rostia", "93 Minerva", "4211 Rosniblett", "2740 Tsoj", "2760 Kacha", "77 Frigga", "2945 Zanstra", "3915 Fukushima", "1328 Devota", "2869 Nepryadva", "203 Pompeja", "1907 Rudneva", "430 Hybris", "1197 Rhodesia", "5858 Borovitskia", "2032 Ethel", "4821 Bianucci", "10809 Majsterrojr", "4902 Thessandrus", "3896 Pordenone", "2184 Fujian", "12104 Chesley", "(174567) 2003 MW12", "5255 Johnsophie", "14989 Tutte", "1079 Mimosa", "1000 Piazzia", "2315 Czechoslovakia", "10025 Rauer", "2400 Derevskaya", "1522 Kokkola", "3923 Radzievskij", "1564 Srbija", "2147 Kharadze", "2679 Kittisvaara", "4063 Euforbo", "2463 Sterpin", "6031 Ryokan", "3508 Pasternak", "71 Niobe", "2192 Pyatigoriya", "2848 ASP", "1078 Mentha", "29 Amphitrite", "67 Asia", "86 Semele", "8234 Nobeoka", "2252 CERGA", "2266 Tchaikovsky", "1090 Sumida", "1775 Zimmerwald", "10257 Garecynthia", "57 Mnemosyne", "1525 Savonlinna", "2985 Shakespeare", "5492 Thoma", "92 Undina", "4931 Tomsk", "8048 Andrle", "7857 Lagerros", "9021 Fagus", "1970 Sumeria", "8321 Akim", "3556 Lixiaohua", "2004 VN112", "1541 Estonia", "1247 Memoria", "1393 Sofala", "223 Rosa", "7046 Reshetnev", "1993 RO", "4513 Louvre", "4569 Baerbel", "1890 Konoshenkova", "2091 Sampo", "236 Honoria", "268 Adorea", "44P/Reinmuth", "5824 Inagaki", "4622 Solovjova", "395 Delia", "1204 Renzia", "6300 Hosamu", "8380 Tooting", "3409 Abramov", "2251 Tikhov", "3670 Northcott", "(42301) 2001 UR163", "85 Io", "5286 Haruomukai", "1103 Sequoia", "1811 Bruwer", "3495 Colchagua", "2836 Sobolev", "1829 Dawson", "1572 Posnania", "2956 Yeomans", "1977 Shura", "4981 Sinyavskaya", "2231 Durrell", "1712 Angola", "1692 Subbotina", "998 Bodea", "1568 Aisleen", "3054 Strugatskia", "9193 Geoffreycopland", "267 Tirza", "1531 Hartmut", "6419 Susono", "(84719) 2002 VR128", "5242 Kenreimonin", "2808 Belgrano", "2785 Sedov", "1736 Floirac", "4407 Taihaku", "528 Rezia", "4658 Gavrilov", "26984 Fernand-Roland", "4484 Sif", "10148 Shirase", "516 Amherstia", "2674 Pandarus", "1413 Roucarie", "2407 Haug", "5595 Roth", "3167 Babcock", "2434 Bateson", "2492 Kutuzov", "3365 Recogne", "2308 Schilt", "1731 Smuts", "4357 Korinthos", "7253 Nara", "2666 Gramme", "37519 Amphios", "7950 Berezov", "7611 Hashitatsu", "3261 Tvardovskij", "1722 Goffin", "4393 Dawe", "4075 Sviridov", "111P/Helin–Roman–Crockett", "7636 Comba", "1803 Zwicky", "140 Siwa", "1770 Schlesinger", "970 Primula", "5042 Colpa", "1359 Prieska", "1182 Ilona", "4568 Menkaure", "1176 Lucidor", "6518 Vernon", "5314 Wilkickia", "1025 Riema", "4580 Child", "14424 Laval", "5006 Teller", "5677 Aberdonia", "2304 Slavia", "1520 Imatra", "8835 Annona", "11151 Oodaigahara", "1333 Cevenola", "2959 Scholl", "1995 SN55", "3405 Daiwensai", "87 Sylvia", "4348 Poulydamas", "5523 Luminet", "4530 Smoluchowski", "4547 Massachusetts", "5070 Arai", "2557 Putnam", "7887 Bratfest", "1190 Pelagia", "235 Carolina", "14 Irene", "3082 Dzhalil", "6249 Jennifer", "1721 Wells", "3642 Frieden", "7067 Kiyose", "2626 Belnika", "2117 Danmark", "7131 Longtom", "303 Josephina", "1099 Figneria", "5565 Ukyounodaibu", "3816 Chugainov", "4499 Davidallen", "3482 Lesnaya", "4521 Akimov", "2687 Tortali", "1107 Lictoria", "3213 Smolensk", "2468 Repin", "1342 Brabantia", "2559 Svoboda", "4431 Holeungholee", "205 Martha", "6309 Elsschot", "2176 Donar", "(9970) 1992 ST1", "2172 Plavsk", "3525 Paul", "854 Frostia", "5576 Albanese", "5816 Potsdam", "3767 DiMaggio", "(136120) 2003 LG7", "6385 Martindavid", "3843 OISCA", "5413 Smyslov", "48 Doris", "123 Brunhild", "(55638) 2002 VE95", "2167 Erin", "2592 Hunan", "6701 Warhol", "2268 Szmytowna", "5284 Orsilocus", "2728 Yatskiv", "2148 Epeios", "1956 Artek", "2104 Toronto", "2357 Phereclos", "1263 Varsavia", "10608 Mameta", "1352 Wawel", "5401 Minamioda", "296 Phaëtusa", "2320 Blarney", "1400 Tirela", "5940 Feliksobolev", "21557 Daniellitt", "15939 Fessenden", "1570 Brunonia", "1963 Bezovec", "11202 Teddunham", "4071 Rostovdon", "604 Tekmessa", "1322 Coppernicus", "2116 Mtskheta", "4554 Fanynka", "10811 Lau", "1458 Mineura", "4866 Badillo", "397 Vienna", "3092 Herodotus", "3224 Irkutsk", "1840 Hus", "1825 Klare", "1369 Ostanina", "2708 Burns", "1848 Delvaux", "6882 Sormano", "1574 Meyer", "7528 Huskvarna", "5325 Silver", "1260 Walhalla", "4176 Sudek", "2647 Sova", "1628 Strobel", "6088 Hoshigakubo", "1073 Gellivara", "2659 Millis", "14446 Kinkowan", "6524 Baalke", "1094 Siberia", "6241 Galante", "1100 Arnica", "6750 Katgert", "3641 Williams Bay", "2452 Lyot", "2379 Heiskanen", "1576 Fabiola", "4013 Ogiria", "4292 Aoba", "5219 Zemka", "5091 Isakovskij", "79360 Sila–Nunam", "1533 Saimaa", "431 Nephele", "3232 Brest", "9549 Akplatonov", "(120178) 2003 OP32", "3440 Stampfer", "260 Huberta", "3655 Eupraksia", "6938 Soniaterk", "3666 Holman", "6972 Helvetius", "246 Asporina", "5644 Maureenbell", "7215 Gerhard", "4832 Palinurus", "8375 Kenzokohno", "3678 Mongmanwai", "6445 Bellmore", "94 Aurora", "55702 Thymoitos", "30704 Phegeus", "1878 Hughes", "32569 Deming", "20961 Arkesilaos", "3601 Velikhov", "5972 Harryatkinson", "1426 Riviera", "5274 Degewij", "416 Vaticana", "5519 Lellouch", "Makemake", "10478 Alsabti", "3210 Lupishko", "5167 Joeharms", "4119 Miles", "5067 Occidental", "184 Dejopeja", "69 Hesperia", "419 Aurelia", "1589 Fanatica", "6924 Fukui", "3497 Innanen", "7815 Dolon", "6169 Sashakrot", "3995 Sakaino", "1092 Lilium", "275 Sapientia", "4421 Kayor", "197 Arete", "5234 Sechenov", "2107 Ilmari", "2562 Chaliapin", "2106 Hugo", "259 Aletheia", "3955 Bruckner", "11528 Mie", "6166 Univsima", "(148209) 2000 CR105", "2669 Shostakovich", "2692 Chkalov", "318 Magdalena", "2475 Semenov", "(26375) 1999 DE9", "115 Thyra", "9096 Tamotsu", "5033 Mistral", "4006 Sandler", "4999 MPC", "3877 Braes", "1918 Aiguillon", "3151 Talbot", "20 Massalia", "(230965) 2004 XA192", "4930 Rephiltim", "1553 Bauersfelda", "1547 Nele", "1838 Ursa", "4616 Batalov", "3011 Chongqing", "4672 Takuboku", "2319 Aristides", "4649 Sumoto", "4389 Durbin", "6459 Hidesan", "383 Janina", "2105 Gudy", "346 Hermentaria", "1083 Salvia", "1295 Deflotte", "3178 Yoshitsune", "258 Tyche", "1383 Limburgia", "4453 Bornholm", "520 Franziska", "8197 Mizunohiroshi", "4115 Peternorton", "3342 Fivesparks", "2108 Otto Schmidt", "4201 Orosz", "1225 Ariane", "4863 Yasutani", "4140 Branham", "6784 Bogatikov", "4577 Chikako", "7596 Yumi", "2864 Soderblom", "406 Erna", "4379 Snelling", "2727 Paton", "5805 Glasgow", "1097 Vicia", "1271 Isergina", "22227 Polyxenos", "3109 Machin", "2022 West", "12214 Miroshnikov", "3622 Ilinsky", "21586 Pourkaviani", "4412 Chephren", "3649 Guillermina", "110 Lydia", "8891 Irokawa", "1650 Heckmann", "4792 Lykaon", "3186 Manuilova", "1336 Zeelandia", "1087 Arabis", "1386 Storeria", "3062 Wren", "4195 Esambaev", "360 Carlova", "5247 Krylov", "8316 Wolkenstein", "1559 Kustaanheimo", "1607 Mavis", "388 Charybdis", "7142 Spinoza", "3262 Miune", "4417 Lecar", "779 Nina", "6531 Subashiri", "2555 Thomas", "22870 Rosing", "10 Hygiea", "2216 Kerch", "10331 Peterbluhm", "11 Parthenope", "13482 Igorfedorov", "3502 Huangpu", "2860 Pasacentennium", "1265 Schweikarda", "1229 Tilia", "2342 Lebedev", "3560 Chenqian", "102 Miriam", "5256 Farquhar", "1424 Sundmania", "1783 Albitskij", "5520 Natori", "11147 Delmas", "(120132) 2003 FY128", "1670 Minnaert", "7037 Davidlean", "4523 MIT", "6422 Akagi", "111 Ate", "3914 Kotogahama", "2653 Principia", "1084 Tamariwa", "1569 Evita", "3371 Giacconi", "563 Suleika", "163 Erigone", "339 Dorothea", "5567 Durisen", "4904 Makio", "12766 Paschen", "247 Eukrate", "1066 Lobelia", "6773 Kellaway", "1649 Fabre", "31 Euphrosyne", "4844 Matsuyama", "8582 Kazuhisa", "6990 Toya", "10938 Lorenzalevy", "4166 Pontryagin", "2214 Carol", "3967 Shekhtelia", "741 Botolphia", "14994 Uppenkamp", "4471 Graculus", "3240 Laocoon", "2136 Jugta", "3012 Minsk", "1605 Milankovitch", "238 Hypatia", "7911 Carlpilcher", "55576 Amycus", "5470 Kurtlindstrom", "1320 Impala", "1269 Rollandia", "7113 Ostapbender", "359 Georgia", "2115 Irakli", "3916 Maeva", "274 Philagoria", "8182 Akita", "438 Zeuxo", "7061 Pieri", "1832 Mrkos", "1368 Numidia", "6925 Susumu", "2326 Tololo", "2387 Xi'an", "1680 Per Brahe", "1651 Behrens", "2259 Sofievka", "8041 Masumoto", "59 Elpis", "216 Kleopatra", "2124 Nissen", "740 Cantabia", "11949 Kagayayutaka", "596 Scheila", "4291 Kodaihasu", "2255 Qinghai", "62 Erato", "2903 Zhuhai", "3182 Shimanto", "5299 Bittesini", "332 Siri", "18745 San Pedro", "4506 Hendrie", "(91133) 1998 HK151", "7139 Tsubokawa", "1118 Hanskya", "2271 Kiso", "2986 Mrinalini", "10143 Kamogawa", "2163 Korczak", "2469 Tadjikistan", "2520 Novorossijsk", "1086 Nata", "6959 Mikkelkocha", "1912 Anubis", "3932 Edshay", "1871 Astyanax", "6463 Isoda", "371 Bohemia", "1843 Jarmila", "1771 Makover", "1177 Gonnessia", "2523 Ryba", "16358 Plesetsk", "1467 Mashona", "83 Beatrix", "3803 Tuchkova", "8537 Billochbull", "1421 Esperanto", "5502 Brashear", "433 Eros", "2372 Proskurin", "3140 Stellafane", "3598 Saucier", "694 Ekard", "1817 Katanga", "3254 Bus", "1240 Centenaria", "3310 Patsy", "1908 Pobeda", "2927 Alamosa", "1008 La Paz", "5687 Yamamotoshinobu", "2911 Miahelena", "1208 Troilus", "310 Margarita", "3432 Kobuchizawa", "1540 Kevola", "270 Anahita", "6677 Renoir", "5454 Kojiki", "2417 McVittie", "441 Bathilde", "3476 Dongguan", "10885 Horimasato", "8550 Hesiodos", "15969 Charlesgreen", "5196 Bustelli", "2436 Hatshepsut", "5994 Yakubovich", "2499 Brunk", "109 Felicitas", "443 Photographica", "3242 Bakhchisaraj", "(15874) 1996 TL66", "10217 Richardcook", "239 Adrastea", "1598 Paloque", "4607 Seilandfarm", "5886 Rutger", "76 Freia", "2982 Muriel", "2179 Platzeck", "2964 Jaschek", "3625 Fracastoro", "1857 Parchomenko", "3194 Dorsey", "7778 Markrobinson", "1416 Renauxa", "2931 Mayakovsky", "4057 Demophon", "3506 French", "1914 Hartbeespoortdam", "7797 Morita", "1497 Tampere", "6036 Weinberg", "1329 Eliane", "2453 Wabash", "4196 Shuya", "2084 Okayama", "830 Petropolitana", "3631 Sigyn", "1096 Reunerta", "2835 Ryoma", "1606 Jekhovsky", "8551 Daitarabochi", "426 Hippo", "382 Dodona", "4722 Agelaos", "4889 Praetorius", "3983 Sakiko", "4963 Kanroku", "4152 Weber", "1002 Olbersia", "2963 Chen Jiageng", "1900 Katyusha", "2157 Ashbrook", "10672 Kostyukova", "1613 Smiley", "1331 Solvejg", "9067 Katsuno", "1782 Schneller", "2569 Madeline", "5405 Neverland", "269 Justitia", "4763 Ride", "1800 Aguilar", "8086 Peterthomas", "249 Ilse", "294 Felicia", "1498 Lahti", "1603 Neva", "5808 Babel'", "952 Caia", "452 Hamiltonia", "1760 Sandra", "2246 Bowell", "3820 Sauval", "9023 Mnesthus", "3724 Annenskij", "2895 Memnon", "3339 Treshnikov", "1591 Baize", "4846 Tuthmosis", "1858 Lobachevsk", "5785 Fulton", "2373 Immo", "1378 Leonce", "1340 Yvette", "84 Klio", "4644 Oumu", "4696 Arpigny", "(4035) 1986 WD", "134 Sophrosyne", "1911 Schubart", "2774 Tenojoki", "1207 Ostenia", "1989 Tatry", "3093 Bergholz", "7650 Kaname", "3223 Forsius", "3509 Sanshui", "1256 Normannia", "3426 Seki", "25 Phocaea", "3438 Inarradas", "3830 Trelleborg", "4751 Alicemanning", "15427 Shabas", "1936 Lugano", "3776 Vartiovuori", "4874 Burke", "2908 Shimoyama", "2695 Christabel", "1222 Tina", "3577 Putilin", "1061 Paeonia", "4466 Abai", "4826 Wilhelms", "1642 Hill", "2089 Cetacea", "3694 Sharon", "1232 Cortusa", "2594 Acamas", "281 Lucretia", "4837 Bickerton", "194 Prokne", "5458 Aizman", "4754 Panthoos", "1774 Kulikov", "6590 Barolo", "7359 Messier", "1715 Salli", "5281 Lindstrom", "3148 Grechko", "4358 Lynn", "2856 Röser", "7290 Johnrather", "291 Alice", "3071 Nesterov", "2331 Parvulesco", "1625 The NORC", "4635 Rimbaud", "5147 Maruyama", "4159 Freeman", "409 Aspasia", "6869 Funada", "6827 Wombat", "22199 Klonios", "4543 Phoinix", "391 Ingeborg", "1469 Linzia", "13249 Marcallen", "4107 Rufino", "1839 Ragazza", "3202 Graff", "4337 Arecibo", "91 Aegina", "2085 Henan", "162 Laurentia", "113 Amalthea", "4235 Tatishchev", "3621 Curtis", "2336 Xinjiang", "Remus", "1711 Sandrine", "5619 Shair", "3407 Jimmysimms", "3126 Davydov", "2850 Mozhaiskij", "1723 Klemola", "14669 Beletic", "2612 Kathryn", "2371 Dimitrov", "6979 Shigefumi", "8204 Takabatake", "5570 Kirsan", "4512 Sinuhe", "2250 Stalingrad", "1926 Demiddelaer", "2533 Fechtig", "1410 Margret", "15651 Tlepolemos", "450 Brigitta", "7342 Uchinoura", "8150 Kaluga", "3606 Pohjola", "1254 Erfordia", "7483 Sekitakakazu", "5714 Krasinsky", "7198 Montelupo", "7811 Zhaojiuzhang", "13739 Nancyworden", "2938 Hopi", "4399 Ashizuri", "6173 Jimwestphal", "3155 Lee", "5652 Amphimachus", "3924 Birch", "9712 Nauplius", "6821 Ranevskaya", "4301 Boyden", "2153 Akiyama", "7308 Hattori", "5609 Stroncone", "4741 Leskov", "1290 Albertine", "3585 Goshirakawa", "15512 Snyder", "164 Eva", "3369 Freuchen", "5461 Autumn", "13181 Peneleos", "2898 Neuvo", "4535 Adamcarolla", "5088 Tancredi", "6398 Timhunter", "2879 Shimizu", "1561 Fricke", "459 Signe", "1200 Imperatrix", "6830 Johnbackus", "4367 Meech", "12649 Ascanios", "1702 Kalahari", "6697 Celentano", "5303 Parijskij", "26 Proserpina", "10094 Eijikato", "7710 Ishibashi", "12868 Onken", "126 Velleda", "3039 Yangel", "5817 Robertfrazer", "298 Baptistina", "1392 Pierre", "1312 Vassar", "33800 Gross", "2455 Somville", "7366 Agata", "2415 Ganesa", "3021 Lucubratio", "6228 Yonezawa", "1471 Tornio", "135 Hertha", "80 Sappho", "6655 Nagahama", "8045 Kamiyama", "901 Brunsia", "453 Tea", "3550 Link", "13185 Agasthenes", "2209 Tianjin", "3078 Horrocks", "445 Edna", "243 Ida", "3861 Lorenz", "3367 Alex", "(86047) 1999 OY3", "5966 Tomeko", "263 Dresda", "305 Gordonia", "5505 Rundetårn", "225 Henrietta", "485 Genua", "6710 Apostel", "3873 Roddy", "13915 Yalow", "1173 Anchises", "1174 Marmara", "9090 Chirotenmondai", "5971 Tickell", "5288 Nankichi", "4381 Uenohara", "6639 Marchis", "4230 van den Bergh", "2001 QF298", "1438 Wendeline", "5055 Opekushin", "2421 Nininger", "4615 Zinner", "96 Aegle", "4049 Noragal'", "4157 Izu", "5670 Rosstaylor", "2445 Blazhko", "151 Abundantia", "5183 Robyn", "381 Myrrha", "2008 Konstitutsiya", "4313 Bouchet", "5259 Epeigeus", "3930 Vasilev", "278 Paulina", "2502 Nummela", "1945 Wesselink", "2068 Dangreen", "4998 Kabashima", "2226 Cunitza", "14420 Massey", "3532 Tracie", "7110 Johnpearse", "2534 Houzeau", "30P/Reinmuth", "22203 Prothoenor", "97 Klotho", "4712 Iwaizumi", "6358 Chertok", "3911 Otomo", "2507 Bobone", "5021 Krylania", "30724 Peterburgtrista", "7583 Rosegger", "436 Patricia", "8156 Tsukada", "1940 Whipple", "11314 Charcot", "4036 Whitehouse", "8593 Angustirostris", "7549 Woodard", "4497 Taguchi", "1941 Wild", "10142 Sakka", "355 Gabriella", "4911 Rosenzweig", "210 Isabella", "(24978) 1998 HJ151", "2430 Bruce Helin", "(35671) 1998 SN165", "6 Hebe", "8225 Emerson", "4645 Tentaikojo", "2616 Lesya", "733 Mocia", "1280 Baillauda", "11668 Balios", "5447 Lallement", "4426 Roerich", "4522 Britastra", "251 Sophia", "2248 Kanda", "1595 Tanga", "411 Xanthe", "5106 Mortensen", "4976 Choukyongchol", "26355 Grueber", "2515 Gansu", "1954 Kukarkin", "1581 Abanderada", "401 Ottilia", "3445 Pinson", "18268 Dardanos", "3845 Neyachenko", "630 Euphemia", "4112 Hrabal", "1057 Wanda", "3425 Hurukawa", "3617 Eicher", "13808 Davewilliams", "14274 Landstreet", "6153 Hershey", "13096 Tigris", "2460 Mitlincoln", "6880 Hayamiyu", "5139 Rumoi", "2293 Guernica", "1998 Titius", "5144 Achates", "7905 Juzoitami", "198 Ampella", "1457 Ankara", "5628 Preussen", "2686 Linda Susan", "1512 Oulu", "4601 Ludkewycz", "1432 Ethiopia", "2737 Kotka", "7320 Potter", "5944 Utesov", "88 Thisbe", "5471 Tunguska", "2262 Mitidika", "1725 CrAO", "7331 Balindblad", "1074 Beljawskya", "3383 Koyama", "5484 Inoda", "4290 Heisei", "2622 Bolzano", "301 Bavaria", "3811 Karma", "3883 Verbano", "1582 Martir", "8241 Agrius", "4088 Baggesen", "6560 Pravdo", "5316 Filatov", "6546 Kaye", "149 Medusa", "13123 Tyson", "350 Ornamenta", "1255 Schilowa", "12444 Prothoon", "3751 Kiang", "5337 Aoki", "1282 Utopia", "12973 Melanthios", "2601 Bologna", "1238 Predappia", "1675 Simonida", "Romulus", "18 Melpomene", "1611 Beyer", "2624 Samitchell", "984 Gretia", "4056 Timwarner", "3025 Higson", "8400 Tomizo", "6030 Zolensky", "1614 Goldschmidt", "357 Ninina", "32720 Simoeisios", "12974 Halitherses", "9612 Belgorod", "5146 Moiwa", "6837 Bressi", "3618 Kuprin", "265 Anna", "11249 Etna", "1364 Safara", "3736 Rokoske", "31020 Skarupa", "5133 Phillipadams", "2241 Alcathous", "1663 van den Bos", "2294 Andronikov", "1638 Ruanda", "4840 Otaynang", "1930 Lucifer", "2364 Seillier", "10293 Pribina", "2450 Ioannisiani", "1644 Rafita", "2741 Valdivia", "2667 Oikawa", "2851 Harbin", "2307 Garuda", "372 Palma", "3453 Dostoevsky", "1737 Severny", "6210 Hyunseop", "186 Celuta", "60 Echo", "1734 Zhongolovich", "1701 Okavango", "6980 Kyusakamoto", "(55637) 2002 UX25", "240 Vanadis", "2995 Taratuta", "3544 Borodino", "336 Lacadiera", "4345 Rachmaninoff", "3389 Sinzot", "98 Ianthe", "2511 Patterson", "144 Vibilia", "(131696) 2001 XT254", "5176 Yoichi", "10247 Amphiaraos", "2035 Stearns", "2019 van Albada", "2005 Hencke", "7692 Edhenderson", "26763 Peirithoos", "3401 Vanphilos", "3276 Porta Coeli", "1755 Lorbach", "8330 Fitzroy", "4746 Doi", "3469 Bulgakov", "329 Svea", "221 Eos", "1950 Wempe", "6072 Hooghoudt", "3709 Polypoites", "321 Florentina", "3970 Herran", "2002 Euler", "2297 Daghestan", "3363 Bowen", "2732 Witt", "421 Zähringia", "378 Holmia", "6345 Hideo", "6364 Casarini", "2550 Houssay", "2983 Poltava", "4226 Damiaan", "11887 Echemmon", "(303775) 2005 QU182", "10353 Momotaro", "(225088) 2007 OR10", "16466 Piyashiriyama", "89 Julia", "3316 Herzberg", "400 Ducrosa", "2046 Leningrad", "7592 Takinemachi", "13184 Augeias", "3683 Baumann", "6472 Rosema", "2000 Herschel", "4501 Eurypylos", "4745 Nancymarie", "211 Isolda", "152 Atala", "1450 Raimonda", "312 Pierretta", "2461 Clavel", "4980 Magomaev", "8915 Sawaishujiro", "3439 Lebofsky", "373 Melusina", "4326 McNally", "1334 Lundmarka", "4498 Shinkoyama", "20898 Fountainhills", "176 Iduna", "2524 Budovicium", "4124 Herriot", "2111 Tselina", "5222 Ioffe", "12284 Pohl", "2301 Whitford", "1189 Terentia", "2234 Schmadel", "6355 Univermoscow", "1872 Helenos", "7763 Crabeels", "10222 Klotz", "2805 Kalle", "9936 Al-Biruni", "23355 Elephenor", "6499 Michiko", "1539 Borrelly", "(229762) 2007 UK126", "4305 Clapton", "13859 Fredtreasure", "1268 Libya", "2333 Porthan", "473 Nolli", "5922 Shouichi", "2263 Shaanxi", "6832 Kawabata", "2274 Ehrsson", "1244 Deira", "(26181) 1996 GQ21", "3946 Shor", "54 Alexandra", "2448 Sholokhov", "7176 Kuniji", "3987 Wujek", "4122 Ferrari", "2277 Moreau", "2466 Golson", "1108 Demeter", "6911 Nancygreen", "5028 Halaesus", "1431 Luanda", "2753 Duncan", "8128 Nicomachus", "(144897) 2004 UX10", "41488 Sindbad", "3063 Makhaon", "3903 Kliment Ohridski", "6908 Kunimoto", "1444 Pannonia", "9609 Ponomarevalya", "5439 Couturier", "3906 Chao", "14791 Atreus", "4084 Hollis", "2477 Biryukov", "3662 Dezhnev", "437 Rhodia", "10793 Quito", "2040 Chalonge", "6338 Isaosato", "1583 Antilochus", "4050 Mebailey", "4306 Dunaevskij", "2827 Vellamo", "660 Crescentia", "1673 van Houten", "11017 Billputnam", "15663 Periphas", "2378 Pannekoek", "1227 Geranium", "7145 Linzexu", "5923 Liedeke", "4896 Tomoegozen", "2771 Polzunov", "7035 Gomi", "5092 Manara", "1618 Dawn", "2264 Sabrina", "8066 Poldimeri", "1253 Frisia", "1436 Salonta", "4771 Hayashi", "5186 Donalu", "1211 Bressole", "1882 Rauma", "4059 Balder", "13039 Awashima", "624 Hektor", "1506 Xosa", "138 Tolosa", "5083 Irinara", "2443 Tomeileen", "4382 Stravinsky", "1026 Ingrid", "5772 Johnlambert", "300 Geraldina", "5825 Rakuyou", "2203 van Rhijn", "6557 Yokonomura", "21558 Alisonliu", "2699 Kalinin", "6576 Kievtech", "18228 Hyperenor", "1567 Alikoski", "3358 Anikushin", "(79983) 1999 DF9", "4558 Janesick", "5411 Liia", "2312 Duboshin", "4718 Araki", "361 Bononia", "2498 Tsesevich", "3176 Paolicchi", "12443 Paulsydney", "10306 Pagnol", "10388 Zhuguangya", "6462 Myougi", "2904 Millman", "3319 Kibi", "4619 Polyakhova", "4516 Pugovkin", "7616 Sadako", "48373 Gorgythion", "1258 Sicilia", "3779 Kieffer", "2683 Brian", "8062 Okhotsymskij", "4061 Martelli", "4419 Allancook", "6214 Mikhailgrinev", "6572 Carson", "1379 Lomonosowa", "2651 Karen", "3139 Shantou", "5526 Kenzo", "3116 Goodricke", "1408 Trusanda", "8498 Ufa", "342 Endymion", "6998 Tithonus", "(24835) 1995 SM55", "(248835) 2006 SX368", "2309 Mr. Spock", "3154 Grant", "5889 Mickiewicz", "1590 Tsiolkovskaja", "9092 Nanyang", "1816 Liberia", "8145 Valujki", "7906 Melanchton", "13475 Orestes", "11321 Tosimatumoto", "2621 Goto", "5285 Krethon", "6997 Laomedon", "7476 Ogilsbie", "1891 Gondola", "4907 Zoser", "3222 Liller", "6094 Hisako", "3020 Naudts", "3065 Sarahill", "4559 Strauss", "277 Elvira", "5692 Shirao", "1226 Golia", "4683 Veratar", "1490 Limpopo", "9818 Eurymachos", "1080 Orchis", "188 Menippe", "5852 Nanette", "6886 Grote", "50 Virginia", "4969 Lawrence", "6420 Riheijyaya", "1309 Hyperborea", "345 Tercidina", "1068 Nofretete", "2833 Radishchev", "4209 Briggs", "7775 Taiko", "1489 Attila", "5361 Goncharov", "2929 Harris", "1482 Sebastiana", "(20161) 1996 TR66", "6139 Naomi", "5289 Niemela", "3754 Kathleen", "1313 Berna", "2240 Tsai", "4100 Sumiko", "3311 Podobed", "4916 Brumberg", "4528 Berg", "10195 Nebraska", "581 Tauntonia", "7318 Dyukov", "3543 Ningbo", "3558 Shishkin", "65489 Ceto", "1616 Filipoff", "387 Aquitania", "3898 Curlewis", "2155 Wodan", "6372 Walker", "12395 Richnelson", "3152 Jones", "6678 Seurat", "2208 Pushkin", "6155 Yokosugano", "3134 Kostinsky", "1357 Khama", "5594 Jimmiller", "475 Ocllo", "3431 Nakano", "5338 Michelblanc", "772 Tanete", "2546 Libitina", "6000 United Nations", "19521 Chaos", "(47171) 1999 TC36", "13815 Furuya", "10555 Tagaharue", "(26308) 1998 SM165", "8564 Anomalocaris", "23 Thalia", "2476 Andersen", "1761 Edmondson", "6941 Dalgarno", "6389 Ogawa", "22503 Thalpius", "1845 Helewalda", "1499 Pori", "256 Walpurga", "5555 Wimberly", "1447 Utra", "13093 Wolfgangpauli", "2217 Eltigen", "1054 Forsytia", "174 Phaedra", "5571 Lesliegreen", "4831 Baldwin", "5132 Maynard", "2958 Arpetito", "159 Aemilia", "1647 Menelaus", "10234 Sixtygarden", "147 Protogeneia", "38 Leda", "2146 Stentor", "4449 Sobinov", "7314 Pevsner", "1528 Conrada", "3588 Kirik", "1361 Leuschneria", "6953 Davepierce", "4702 Berounka", "379 Huenna", "32726 Chromios", "4181 Kivi", "13389 Stacey", "1093 Freda", "4141 Nintanlena", "2377 Shcheglov", "3925 Tret'yakov", "12 Victoria", "1170 Siva", "1465 Autonoma", "3799 Novgorod", "2038 Bistro", "3391 Sinon", "872 Holda", "34993 Euaimon", "2677 Joan", "6403 Steverin", "2220 Hicks", "867 Kovacia", "3567 Alvema", "12291 Gohnaumann", "4677 Hiroshi", "2839 Annette", "1557 Roehla", "4351 Nobuhisa", "1459 Magnya", "1077 Campanula", "3376 Armandhammer", "5120 Bitias", "82 Alkmene", "9907 Oileus", "8502 Bauhaus", "6299 Reizoutoyoko", "114 Kassandra", "446 Aeternitas", "1064 Aethusa", "5134 Ebilson", "2041 Lancelot", "422 Berolina", "5320 Lisbeth", "21 Lutetia", "3700 Geowilliams", "2670 Chuvashia", "266 Aline", "3522 Becker", "8501 Wachholz", "444 Gyptis", "5032 Conradhirsh", "4827 Dares", "1337 Gerarda", "3230 Vampilov", "6071 Sakitama", "3215 Lapko", "2006 QH181", "8387 Fujimori", "1124 Stroobantia", "9154 Kol'tsovo", "257 Silesia", "1024 Hale", "5539 Limporyen", "3945 Gerasimenko", "362 Havnia", "4768 Hartley", "11911 Angel", "44 Nysa", "4958 Wellnitz", "5221 Fabribudweis", "3623 Chaplin", "12238 Actor", "1058 Grubba", "2088 Sahlia", "4813 Terebizh", "63 Ausonia", "1186 Turnera", "191 Kolga", "5043 Zadornov", "3874 Stuart", "1215 Boyer", "13010 Germantitov", "6971 Omogokei", "3442 Yashin", "6392 Takashimizuno", "314 Rosalia", "6075 Zajtsev", "1409 Isko", "2713 Luxembourg", "3328 Interposita", "4542 Mossotti", "4758 Hermitage", "2249 Yamamoto", "1456 Saldanha", "1345 Potomac", "8250 Cornell", "187 Lamberta", "7728 Giblin", "11509 Thersilochos", "3791 Marci", "3597 Kakkuri", "5 Astraea", "1202 Marina", "1217 Maximiliana", "2007 McCuskey", "5329 Decaro", "5698 Nolde", "3095 Omarkhayyam", "2563 Boyarchuk", "2658 Gingerich", "5547 Acadiau", "4222 Nancita", "3157 Novikov", "12753 Povenmire", "7051 Sean", "1726 Hoffmeister", "3804 Drunina", "6353 Semper", "1406 Komppa", "12657 Bonch-Bruevich", "2186 Keldysh", "2996 Bowman", "4344 Buxtehude", "4748 Tokiwagozen", "1214 Richilde", "103 Hera", "3324 Avsyuk", "1477 Bonsdorffia", "2391 Tomita", "5301 Novobranets", "1504 Lappeenranta", "3548 Eurybates", "4085 Weir", "1999 Hirayama", "2717 Tellervo", "286 Iclea", "2193 Jackson", "2152 Hannibal", "5815 Shinsengumi", "1630 Milet", "1637 Swings", "2793 Valdaj", "5591 Koyo", "2519 Annagerman", "1870 Glaukos", "6174 Polybius", "1491 Balduinus", "470 Kilia", "6321 Namuratakao", "6423 Harunasan", "1648 Shajna", "(182294) 2001 KU76", "3061 Cook", "5155 Denisyuk", "10864 Yamagatashi", "2673 Lossignol", "2188 Orlenok", "1283 Komsomolia", "6104 Takao", "368 Haidea", "7674 Kasuga", "1264 Letaba", "1902 Shaposhnikov", "2344 Xizang", "11107 Hakkoda", "11020 Orwell", "2802 Weisell", "160 Una", "120347 Salacia", "1242 Zambesia", "10370 Hylonome", "32532 Thereus", "38083 Rhadamanthus", "308 Polyxo", "7233 Majella", "7214 Anticlus", "220 Stephania", "4308 Magarach", "2384 Schulhof", "1795 Woltjer", "16154 Dabramo", "13684 Borbona", "353 Ruperto-Carola", "3143 Genecampbell", "8405 Asbolus", "5603 Rausudake", "10989 Dolios", "199 Byblis", "5457 Queen's", "2109 Dhotel", "5759 Zoshchenko", "1277 Dolores", "1321 Majuba", "3007 Reaves", "9859 Van Lierde", "1787 Chiny", "1330 Spiridonia", "1095 Tulipa", "3937 Bretagnon", "3620 Platonov", "1543 Bourgeois", "72 Feronia", "4448 Phildavis", "75 Eurydike", "377 Campania", "170 Maria", "6729 Emiko", "6996 Alvensleben", "4681 Ermak", "3819 Robinson", "3902 Yoritomo", "7991 Kaguyahime", "8189 Naruke", "4803 Birkle", "165 Loreley", "4451 Grieve", "3887 Gerstner", "5072 Hioki", "5061 McIntosh", "3460 Ashkova", "1987 Kaplan", "3788 Steyaert", "762 Pulcova", "6670 Wallach", "5360 Rozhdestvenskij", "367 Amicitia", "6905 Miyazaki", "1929 Kollaa", "4096 Kushiro", "90 Antiope", "29869 Chiarabarbara", "1683 Castafiore", "13436 Enid", "5162 Piemonte", "15913 Telemachus", "3785 Kitami", "1786 Raahe", "6511 Furmanov", "218 Bianca", "3208 Lunn", "4045 Lowengrub", "8500 Hori", "853 Nansenia", "1425 Tuorla", "1294 Antwerpia", "6432 Temirkanov", "3045 Alois", "5013 Suzhousanzhong", "2428 Kamenyar", "53 Kalypso", "3142 Kilopi", "1384 Kniertje", "3457 Arnenordheim", "2917 Sawyer Hogg", "5017 Tenchi", "327 Columbia", "1293 Sonja", "5232 Jordaens", "4647 Syuji", "9205 Eddywally", "2067 Aksnes", "6025 Naotosato", "Linus", "1700 Zvezdara", "3259 Brownlee", "30708 Echepolos", "2323 Zverev", "4349 Tibúrcio", "3026 Sarastro", "5306 Fangfen", "2004 XR190", "6156 Dall", "12896 Geoffroy", "5833 Peterson", "6619 Kolya", "4151 Alanhale", "5511 Cloanthus", "1375 Alfreda", "1285 Julietta", "417 Suevia", "4223 Shikoku", "2328 Robeson", "1873 Agenor", "5435 Kameoka", "6838 Okuda", "6984 Lewiscarroll", "120 Lachesis", "146 Lucina", "3557 Sokolsky", "7143 Haramura", "4009 Drobyshevskij", "2725 David Bender", "5090 Wyeth", "4162 SAF", "2433 Sootiyo", "4353 Onizaki", "7082 La Serena", "2541 Edebono", "5962 Shikokutenkyo", "8087 Kazutaka", "1909 Alekhin", "5113 Kohno", "5696 Ibsen", "4234 Evtushenko", "30705 Idaios", "182 Elsa", "6410 Fujiwara", "1199 Geldonia", "483 Seppina", "5468 Hamatonbetsu", "1622 Chacornac", "13018 Geoffjames", "1376 Michelle", "5838 Hamsun", "2501 Lohja", "2296 Kugultinov", "420 Bertholda", "3207 Spinrad", "42403 Andraimon", "835 Olivia", "4574 Yoshinaka", "2877 Likhachev", "323 Brucia", "2939 Coconino", "1072 Malva", "3214 Makarenko", "5036 Tuttle", "2957 Tatsuo", "3250 Martebo", "1427 Ruvuma", "15092 Beegees", "700 Auravictrix", "5875 Kuga", "2140 Kemerovo", "(308933) 2006 SQ372", "2465 Wilson", "4327 Ries", "337 Devosa", "43 Ariadne", "10199 Chariklo", "3686 Antoku", "4365 Ivanova", "6683 Karachentsov", "49036 Pelion", "2239 Paracelsus", "79 Eurynome", "333 Badenia", "3125 Hay", "6606 Makino", "4571 Grumiaux", "189 Phthia", "1719 Jens", "4598 Coradini", "4454 Kumiko", "2566 Kirghizia", "3922 Heather", "3436 Ibadinov", "2324 Janice", "1867 Deiphobus", "150 Nuwa", "451 Patientia", "2144 Marietta", "3768 Monroe", "4014 Heizman", "5466 Makibi", "2057 Rosemary", "20000 Varuna", "32811 Apisaon", "4588 Wislicenus", "1998 WW31", "(120348) 2004 TY364", "3174 Alcock", "6656 Yokota", "2009 Voloshina", "8496 Jandlsmith", "106 Dione", "190 Ismene", "1373 Cincinnati", "9142 Rhesus", "248 Lameia", "1833 Shmakova", "3296 Bosque Alegre", "2763 Jeans", "4192 Breysacher", "3860 Plovdiv", "4804 Pasteur", "8660 Sano", "2053 Nuki", "5890 Carlsberg", "6408 Saijo", "3564 Talthybius", "8443 Svecica", "4164 Shilov", "65 Cybele", "7119 Hiera", "2544 Gubarev", "2224 Tucson", "6783 Gulyaev", "6464 Kaburaki", "2408 Astapovich", "5438 Lorre", "1479 Inkeri", "12242 Koon", "4077 Asuka", "5532 Ichinohe", "4805 Asteropaios", "17445 Avatcha", "5546 Salavat", "306 Unitas", "5638 Deikoon", "4325 Guest", "4893 Seitter", "4350 Shibecha", "8941 Junsaito", "5101 Akhmerov", "19034 Santorini", "2395 Aho", "537 Pauly", "6287 Lenham", "4131 Stasik", "133 Cyrene", "386 Siegena", "6794 Masuisakura", "1473 Ounas", "782 Montefiore", "1975 Pikelner", "704 Interamnia", "7494 Xiwanggongcheng", "4002 Shinagawa", "1772 Gagarin", "3505 Byrd", "8329 Speckman", "5955 Khromchenko", "1960 Guisan", "2122 Pyatiletka", "3080 Moisseiev", "4208 Kiselev", "10888 Yamatano-orochi", "1587 Kahrstedt", "233 Asterope", "39 Laetitia", "17855 Geffert", "209 Dido", "2013 Tucapel", "217 Eudora", "1703 Barry", "1524 Joensuu", "1993 Guacolda", "1776 Kuiper", "4526 Konko", "6778 Tosamakoto", "2920 Automedon", "7487 Toshitanaka", "3066 McFadden", "2611 Boyce", "1742 Schaifers", "15258 Alfilipenko", "1645 Waterfield", "1327 Namaqua", "11933 Himuka", "1646 Rosseland", "16 Psyche", "22 Kalliope", "13146 Yuriko", "2222 Lermontov", "5399 Awa", "1464 Armisticia", "3797 Ching-Sung Yu", "156 Xanthippe", "215 Oenone", "1405 Sibelius", "8431 Haseda", "34 Circe", "2747 Český Krumlov", "8397 Chiakitanaka", "8721 AMOS", "3730 Hurban", "6553 Seehaus", "(184212) 2004 PB112", "3294 Carlvesely", "2439 Ulugbek", "2332 Kalm", "5769 Michard", "16144 Korsten", "65590 Archeptolemos", "1579 Herrick", "3399 Kobzon", "4687 Brunsandrej", "3909 Gladys", "3441 Pochaina", "2456 Palamedes", "6188 Robertpepin", "2769 Mendeleev", "1075 Helina", "3313 Mendel", "2180 Marjaleena", "5465 Chumakov", "2043 Ortutay", "3729 Yangzhou", "3019 Kulin", "24 Themis", "311 Claudia", "2365 Interkosmos", "31824 Elatus", "2183 Neufang", "4870 Shcherban'", "6786 Doudantsutsuji", "1326 Losaka", "2882 Tedesco", "237 Coelestina", "2603 Taylor", "19 Fortuna", "19081 Mravinskij", "4856 Seaborg", "52872 Okyrhoe", "48300 Kronk", "425 Cornelia", "4438 Sykes", "4103 Chahine", "1241 Dysona", "2346 Lilio", "1806 Derice", "2905 Plaskett", "1893 Jakoba", "30698 Hippokoon", "4263 Abashiri", "1071 Brita", "4711 Kathy", "1213 Algeria", "179 Klytaemnestra", "390 Alma", "447 Valentine", "35 Leukothea", "852 Wladilena", "2493 Elmer", "1389 Onnie", "3177 Chillicothe", "1323 Tugela", "1631 Kopff", "271 Penthesilea", "4719 Burnaby", "(307261) 2002 MS4", "1957 Angara", "8374 Horohata", "143 Adria", "5294 Onnetoh", "1418 Fayeta", "30 Urania", "3581 Alvarez", "1868 Thersites", "4955 Gold", "10116 Robertfranz", "6351 Neumann", "5959 Shaklan", "1116 Catriona", "4182 Mount Locke", "8906 Yano", "1485 Isa", "1193 Africa", "3161 Beadell", "3790 Raywilson", "5406 Jonjoseph", "1842 Hynek", "375 Ursula", "1106 Cydonia", "1115 Sabauda", "4258 Ryazanov", "2826 Ahti", "1224 Fantasia", "335 Roberta", "1220 Crocus", "2145 Blaauw", "2786 Grinevia", "8560 Tsubaki", "5624 Shirley", "1894 Haffner", "5936 Khadzhinov", "2169 Taiwan", "1592 Mathieu", "1968 Mehltretter", "2004 Lexell", "1404 Ajax", "6643 Morikubo", "4962 Vecherka", "(85627) 1998 HP151", "4752 Myron", "1619 Ueta", "2370 van Altena", "8133 Takanochoei", "2295 Matusovskij", "2722 Abalakin", "1847 Stobbe", "5517 Johnerogers", "3907 Kilmartin", "2177 Oliver", "589 Croatia", "1219 Britta", "3542 Tanjiazhen", "5145 Pholus", "4609 Pizarro", "4073 Ruianzhongxue", "4293 Masumi", "5199 Dortmund", "1358 Gaika", "6052 Junichi", "610 Valeska", "2470 Agematsu", "1081 Reseda", "2685 Masursky", "6068 Brandenburg", "2238 Steshenko", "4961 Timherder", "7291 Hyakutake", "1571 Cesco", "1292 Luce", "1629 Pecker", "3910 Liszt", "6583 Destinn", "1617 Alschmitt", "402 Chloë", "2394 Nadeev", "2655 Guangxi", "1067 Lunaria", "173 Ino", "2269 Efremiana", "2302 Florya", "8962 Noctua", "404 Arsinoë", "3687 Dzus", "6001 Thales", "768 Struveana", "1252 Celestia", "1420 Radcliffe", "2185 Guangdong", "1423 Jose", "2649 Oongaq", "358 Apollonia", "5138 Gyoda", "6645 Arcetri", "5231 Verne", "1973 Colocolo", "4102 Gergana", "5244 Amphilochos", "7895 Kaseda", "27 Euterpe", "2781 Kleczek", "297 Caecilia", "2292 Seili", "(87269) 2000 OO67", "37 Fides", "4597 Consolmagno", "2045 Peking", "228 Agathe", "385 Ilmatar", "7544 Tipografiyanauka", "2589 Daniel", "4422 Jarre", "52975 Cyllarus", "5919 Patrickmartin", "3219 Komaki", "1462 Zamenhof", "4427 Burnashev", "1360 Tarka", "4118 Sveta", "6604 Ilias", "2585 Irpedina", "7378 Herbertpalme", "6079 Gerokurat", "3422 Reid", "232 Russia", "4110 Keats", "2354 Lavrov", "892 Seeligeria", "2591 Dworetsky", "10316 Williamturner", "8130 Seeberg", "3322 Lidiya", "6366 Rainerwieler", "2093 Genichesk", "5249 Giza", "4791 Iphidamas", "222 Lucia", "8317 Eurysaces", "15551 Paddock", "261 Prymno", "12562 Briangrazer", "4135 Svetlanov", "168 Sibylla", "2743 Chengdu", "1172 Äneas", "1892 Lucienne", "7469 Krikalev", "449 Hamburga", "2724 Orlov", "3696 Herald", "2551 Decabrina", "7027 Toshihanda", "2587 Gardner", "3713 Pieters", "3430 Bradfield", "60558 Echeclus", "3645 Fabini", "1251 Hedera", "6356 Tairov", "3985 Raybatson", "2358 Bahner", "4054 Turnov", "66652 Borasisi", "4078 Polakis", "4167 Riemann", "3485 Barucci", "5521 Morpurgo", "3106 Morabito", "139 Juewa", "5296 Friedrich", "6357 Glushko", "13365 Tenzinyama", "5035 Swift", "9449 Petrbondy", "3300 McGlasson", "8573 Ivanka", "24701 Elyu-Ene", "6150 Neukum", "10069 Fontenelle", "5122 Mucha", "370 Modestia", "4000 Hipparchus", "737 Arequipa", "208 Lacrimosa", "7182 Robinvaughan", "1780 Kippes", "3305 Ceadams", "863 Benkoela", "2483 Guinevere", "380 Fiducia", "3035 Chambers", "1318 Nerina", "1518 Rovaniemi", "2194 Arpola", "1396 Outeniqua", "1678 Hveen", "3856 Lutskij", "4685 Karetnikov", "7628 Evgenifedorov", "4366 Venikagan", "3241 Yeshuhua", "6302 Tengukogen", "5081 Sanguin", "5709 Tamyeunleung", "442 Eichsfeldia", "348 May", "1527 Malmquista", "2236 Austrasia", "351 Yrsa", "55701 Ukalegon", "6866 Kukai", "2341 Aoluta", "1366 Piccolo", "2749 Walterhorn", "3189 Penza", "1347 Patria", "288 Glauke", "1143 Odysseus", "6574 Gvishiani", "10654 Bontekoe", "3534 Sax", "2707 Ueferji", "1091 Spiraea", "4624 Stefani", "4041 Miyamotoyohko", "3141 Buchar", "2969 Mikula", "1851 Lacroute", "4346 Whitney", "363 Padua", "6644 Jugaku", "3626 Ohsaki", "6337 Shiota", "4174 Pikulia", "2254 Requiem", "6354 Vangelis", "6613 Williamcarl", "3380 Awaji", "1069 Planckia", "7363 Esquibel", "224 Oceana", "2215 Sichuan", "11787 Baumanka", "4259 McCoy", "4676 Uedaseiji", "1560 Strattonia", "944 Hidalgo", "13441 Janmerlin", "178 Belisana", "12052 Aretaon", "1735 ITA", "3712 Kraft", "2142 Landau", "4903 Ichikawa", "1287 Lorcia", "2361 Gogol", "3162 Nostalgia", "1754 Cunningham", "2451 Dollfus", "1390 Abastumani", "1523 Pieksämäki", "6124 Mecklenburg", "7607 Billmerline", "3871 Reiz", "(65407) 2002 RP120", "5902 Talima", "1429 Pemba", "2913 Horta", "1519 Kajaani", "6890 Savinykh", "3099 Hergenrother", "2090 Mizuho", "3341 Hartmann", "2543 Machado", "1659 Punkaharju", "58096 Oineus", "3565 Ojima", "313 Chaldaea", "760 Massinga", "5367 Sollenberger", "252 Clementina", "4236 Lidov", "4950 House", "6402 Holstein", "5115 Frimout", "454 Mathesis", "434 Hungaria", "463 Lola", "1114 Lorraine", "13220 Kashiwagura", "3962 Valyaev", "7581 Yudovich", "2797 Teucer", "276 Adelheid", "4973 Showa", "104 Klymene", "2007 JH43", "3734 Waland", "14917 Taco", "2847 Parvati", "4905 Hiromi", "3274 Maillen", "440 Theodora", "15231 Ehdita", "4418 Fredfranklin", "326 Tamara", "2988 Korhonen", "13387 Irus", "3475 Fichte", "3761 Romanskaya", "15 Eunomia", "1529 Oterma", "5126 Achaemenides", "1246 Chaka", "1732 Heike", "501 Urhixidur", "14338 Shibakoukan", "5837 Hedin", "9306 Pittosporum", "1743 Schmidt", "1707 Chantal", "2303 Retsina", "5385 Kamenka", "408 Fama", "5446 Heyler", "3616 Glazunov", "5023 Agapenor", "6570 Tomohiro", "2270 Yazhi", "5192 Yabuki", "2878 Panacea", "4332 Milton", "1351 Uzbekistania", "66 Maja", "331 Etheridgea", "2880 Nihondaira", "1773 Rumpelstilz", "172 Baucis", "3252 Johnny", "2386 Nikonov", "3821 Sonet", "2979 Murmansk", "2891 McGetchin", "407 Arachne", "2875 Lagerkvist", "1881 Shao", "14315 Ogawamachi", "1121 Natascha", "3164 Prast", "2696 Magion", "3632 Grachevka", "2191 Uppsala", "2471 Ultrajectum", "3191 Svanetia", "1626 Sadeya", "2595 Gudiachvili", "2681 Ostrovskij", "127 Johanna", "1888 Zu Chong-Zhi", "4657 Lopez", "4423 Golden", "167 Urda", "2932 Kempchinsky", "169 Zelia", "1311 Knopfia", "2404 Antarctica", "295 Theresia", "1624 Rabe", "2223 Sarpedon", "1672 Gezelle", "299 Thora", "78 Diana", "5014 Gorchakov", "56 Melete", "25302 Niim", "8000 Isaac Newton", "324 Bamberga", "7468 Anfimov", "3028 Zhangguoxi", "4540 Oriani", "262 Valda", "1999 LE31", "6400 Georgealexander", "1946 Walraven", "5436 Eumelos", "192 Nausikaa", "3894 Williamcooke", "202 Chryseïs", "2646 Abetti", "14664 Vandervelden", "3961 Arthurcox", "2205 Glinka", "3609 Liloketai", "410 Chloris", "3348 Pokryshkin", "95 Arethusa", "302 Clarissa", "3663 Tisserand", "153 Hilda", "18568 Thuillot", "5317 Verolacqua", "6879 Hyogo", "8934 Nishimurajun", "1112 Polonia", "2978 Roudebush", "5775 Inuyama", "5592 Oshima", "3195 Fedchenko", "1904 Massevitch", "10711 Pskov", "142 Polana", "4210 Isobelthompson", "244 Sita", "5637 Gyas", "7718 Desnoux", "2118 Flagstaff", "817 Annika", "2526 Alisary", "2690 Ristiina", "3330 Gantrisch", "4352 Kyoto", "7429 Hoshikawa", "4873 Fukaya", "157 Dejanira", "304 Olga", "7499 L'Aquila", "1231 Auricula", "6916 Lewispearce", "3347 Konstantin", "1784 Benguella", "1903 Adzhimushkaj", "8814 Rosseven", "3315 Chant", "4187 Shulnazaria", "219 Thusnelda", "2970 Pestalozzi", "193 Ambrosia", "2369 Chekhov", "(126154) 2001 YH140", "3491 Fridolin", "4424 Arkhipova", "804 Hispania", "2573 Hannu Olavi", "4853 Marielukac", "5661 Hildebrand", "1532 Inari", "3913 Chemin", "1895 Larink", "4261 Gekko", "5855 Yukitsuna", "1828 Kashirina", "1965 van de Kamp", "2225 Serkowski", "2852 Declercq", "6371 Heinlein", "10259 Osipovyurij", "6136 Gryphon", "1813 Imhotep", "1411 Brauna", "7124 Glinos", "2416 Sharonov", "3809 Amici", "11785 Migaic", "1635 Bohrmann", "(90568) 2004 GV9", "129 Antigone", "5079 Brubeck", "1697 Koskenniemi", "1681 Steinmetz", "175 Andromache", "1350 Rosselia", "1937 Locarno", "3468 Urgenta", "1463 Nordenmarkia", "125 Liberatrix", "2137 Priscilla", "204 Kallisto", "3828 Hoshino", "1284 Latvia", "1880 McCrosky", "2396 Kochi", "18114 Rosenbush", "3693 Barringer", "3451 Mentor", "4127 Kyogoku", "665 Sabine", "283 Emma", "1343 Nicole", "2504 Gaviola", "4833 Meges", "3243 Skytel", "4797 Ako", "15621 Erikhovland", "2001 QR322", "6175 Cori", "6191 Eades", "4502 Elizabethann", "8057 Hofmannsthal", "7481 San Marcello", "231 Vindobona", "6051 Anaximenes", "1854 Skvortsov", "5433 Kairen", "4215 Kamo", "3171 Wangshouguan", "481 Emita", "8125 Tyndareus", "4380 Geyer", "2138 Swissair", "280 Philia", "234 Barbara", "591 Irmgard", "6362 Tunis", "4068 Menestheus", "5128 Wakabayashi", "1381 Danubia", "4060 Deipylos", "3781 Dufek", "42 Isis", "7192 Cieletespace", "99 Dike", "1122 Neith", "3156 Ellington", "5130 Ilioneus", "527 Euryanthe", "18059 Cavalieri", "2005 CB79", "5104 Skripnichenko", "2237 Melnikov", "26858 Misterrogers", "3660 Lazarev", "4766 Malin", "356 Liguria", "1660 Wood", "2987 Sarabhai", "1508 Kemi", "616 Elly", "513 Centesima", "5382 McKay", "1575 Winifred", "2412 Wil", "4007 Euryalos", "2657 Bashkiria", "3823 Yorii", "1826 Miller", "869 Mellena", "29555 MACEK", "1748 Mauderli", "1562 Gondolatsch", "11739 Baton Rouge", "4101 Ruikou", "4051 Hatanaka", "1738 Oosterhoff", "2306 Bauschinger", "3479 Malaparte", "366 Vincentina", "1353 Maartje", "8578 Shojikato", "4243 Nankivell", "250 Bettina", "5154 Leonov", "5374 Hokutosei", "1815 Beethoven", "4584 Akan", "3016 Meuse", "392 Wilhelmina", "(3708) 1974 FV1", "8410 Hiroakiohno", "2056 Nancy", "8813 Leviathan", "2181 Fogelin", "(55636) 2002 TX300", "2260 Neoptolemus", "(145451) 2005 RM43", "2353 Alva", "4342 Freud", "1288 Santa", "5957 Irina", "6894 Macreid", "18365 Shimomoto", "3228 Pire", "1808 Bellerophon", "13229 Echion", "18871 Grauer", "9423 Abt", "3957 Sugie", "2791 Paradise", "2950 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Steiner Egyptian Theatre", "Donmar Warehouse", "Whitefire Theatre", "Watermill Theatre", "Esther's Follies", "Lantern Theatre", "Jefferson Theater", "Main Street Theater", "The Jane", "Live Theatre Company", "RADA Studios", "Main Street Theater", "Factory Theatre", "Tron Theatre" ], "function": "<", "commonness": -14.382337255906844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "theater.theater", "class": "theater.theater", "friendly_name": "Theater", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "300^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "300", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :theater.theater . \nFILTER (?x1 < 300)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 138000100, "question": "which theaters can hold less than 300 people?", "answer": [ "The Jane", "The Katharine Hepburn Cultural Arts Center", "Laurie Beechman Theatre", "Yvonne Arnaud Theatre", "Triad Theater", "Oxford Playhouse", "Watermill Theatre", "Phoenix Theatre", "Tron Theatre", "Brattle Theatre", "Factory Theatre", "RADA Studios", "Soho Theatre", "Lantern Theatre", "Whitefire Theatre", "Live Theatre Company", "York Theatre", "Acorn Theatre", "Mary G. Steiner Egyptian Theatre", "Arcata Theatre", "Hen and Chickens Theatre", "Old Red Lion Theatre", "Main Street Theater", "Lucille Lortel Theatre", "Esther's Follies", "Donmar Warehouse", "Main Street Theater", "Jefferson Theater", "Grand Guignol", "Alchemical Theatre Laboratory", "The Lion Theatre", "Tricycle Theatre" ], "function": "<", "commonness": -14.382337255906844, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "theater.theater", "class": "theater.theater", "friendly_name": "Theater", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "300^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "300", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.venue.capacity", "friendly_name": "Seating capacity" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :theater.theater . \nFILTER (?x1 < 300)\n?x0 :architecture.venue.capacity ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 138000200, "question": "what are the theaters that have a capacity smaller than 300?", "answer": [ "Oxford Playhouse", "Laurie Beechman Theatre", "Brattle Theatre", "York Theatre", "Main Street Theater", "Live Theatre Company", "Lantern Theatre", "The Jane", "Watermill Theatre", "Donmar Warehouse", "RADA Studios", "The Katharine Hepburn Cultural Arts Center", "Alchemical Theatre Laboratory", "Triad Theater", "Main Street Theater", "Acorn Theatre", "Factory Theatre", "Arcata Theatre", "Mary G. 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:en.mall_of_america } \n?x1 :business.shopping_center.store ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 139000101, "question": "what is the number of locations where moa has a store?", "answer": [ "327" ], "function": "count", "commonness": -14.597041747608918, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.business_location", "class": "business.business_location", "friendly_name": "Organization Location", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.mall_of_america", "class": "business.shopping_center", "friendly_name": "moa", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.shopping_center.store", "friendly_name": "Stores" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.business_location . \nVALUES ?x1 { :en.mall_of_america } \n?x1 :business.shopping_center.store ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 139000200, "question": "the mall of america has how many stores?", "answer": [ "327" ], "function": "count", "commonness": -14.597041747608918, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.business_location", "class": "business.business_location", "friendly_name": "Organization Location", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.mall_of_america", "class": "business.shopping_center", "friendly_name": "Mall of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.shopping_center.store", "friendly_name": "Stores" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.business_location . \nVALUES ?x1 { :en.mall_of_america } \n?x1 :business.shopping_center.store ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 139000201, "question": "the moa has how many stores?", "answer": [ "327" ], "function": "count", "commonness": -14.597041747608918, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.business_location", "class": "business.business_location", "friendly_name": "Organization Location", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.mall_of_america", "class": "business.shopping_center", "friendly_name": "moa", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.shopping_center.store", "friendly_name": "Stores" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.business_location . \nVALUES ?x1 { :en.mall_of_america } \n?x1 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?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 139000401, "question": "what is the number of stores of the moa?", "answer": [ "327" ], "function": "count", "commonness": -14.597041747608918, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.business_location", "class": "business.business_location", "friendly_name": "Organization Location", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.mall_of_america", "class": "business.shopping_center", "friendly_name": "moa", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "business.shopping_center.store", "friendly_name": "Stores" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :business.business_location . \nVALUES ?x1 { :en.mall_of_america } \n?x1 :business.shopping_center.store ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 140000000, "question": "which amusement rides are lower than 25.908 meters?", "answer": [ "Corkscrew", "Big Dipper", "Vuoristorata", "Flight of Fear", "Thunderbolt", "Exterminator", "Jack Rabbit", "Canyon Blaster", "Frankie’s Mine Train", "WildCat", "Lightnin' Loops", "Skull Mountain", "Iron Dragon", "Woodstock Express", "La Vibora", "Rita", "The Smiler", "Pipeline Express", "Ozark Wildcat", "Canobie Corkscrew", "It's a Small World", "High Speed Thrill Coaster", "Trombi", "Soarin' Eagle", "Grover's Alpine Express", "Cannonball Run", "Grand National", "Toboggan", "Valhalla", "Salama", "Phoenix", "Cosmic Coaster", "Tig'rr", "Woodstock Express", "Swamp Thing", "Runaway Mine Train", "Carolina Goldrusher", "Python", "Air", "Raptor Attack", "Vortex", "Flying Super Saturator", "Furius Baco", "Hurler", "Skyliner", "Gadget's Go Coaster", "Timberline Twister", "Mr. Six's Pandemonium", "The Raven", "Flying School", "High Roller", "Ninja", "Vauhtimato", "Linnunrata", "AquaLoop", "Serpent", "Thunder Run", "Blue Streak", "Fairly Odd Coaster", "Wildcat", "Wild Mouse", "Looping Star", "Flying Ace Aerial Chase", "Great Chase", "Zippin Pippin", "Toboggan", "Thunderbolt", "Jack Rabbit", "Nickelodeon Streak", "Beaver Land Mine Ride", "Moto Coaster", "Swamp Fox", "Kanonen", "Tornado", "Woodstock Express", "Catwoman's Whip", "Cedar Creek Mine Ride", "The Howler", "High Roller", "Big Dipper", "Wile E. Coyote's Grand Canyon Blaster", "Corkscrew", "The Joker's Jinx", "Skyway", "Mick Doohan's Motocoaster", "Thirteen", "Mad Mouse", "Bavarian Beetle", "Spinning Dragons", "Tom y Jerry", "Dark Knight", "American Thunder", "Road Runner Express", "Skyride", "Stampida", "Great Chase", "Canyon Blaster", "Revolution", "Magic Flyer", "It's a Small World", "Black Diamond", "Afterburner", "Road Runner Express", "Hurler", "AquaLoop", "Jaguar!", "Goldrusher", "Scenic Railway", "Montaña Suiza", "Joust", "The Dark Knight Coaster", "Cornball Express", "Sonic Spinball", "The Jester", "Jet Star", "Mammut", "Untamed", "Orbitron, Machines Volantes", "Jumbo Jet", "Switchback Railway", "Sidewinder", "The Dragon", "Skyway", "Oblivion", "Scooby's Gasping Ghostster Coaster", "Vonkaputous", "Tutuki Splash", "Big Dipper", "Blue Streak", "XLR-8", "Rock 'n' Roller Coaster Starring Aerosmith", "Astro Orbitor", "Pepsi Orange Streak", "Wild Mouse", "Flyer Comet", "Flying Turns", "It's a Small World", "Rock 'n' Roller Coaster", "Troublesome Trucks", "Blue Flyer", "Vampire", "Zambezi Zinger", "Primeval Whirl", "It's a Small World", "Hornet", "Formule X", "Disaster Transport", "Kirnu", "Thunderhawk", "It's a Small World", "Cannon Ball", "Leap-The-Dips", "Jr. Gemini", "Alpine Bobsled", "Pegasus", "Star Jets", "Pegasus", "Twisted Twins", "Pony Express", "Scorpion", "Sand Serpent", "Scooby-Doo Spooky Coaster", "Aqualoop", "Beastie", "Sarajevo Bobsled", "Rock n' Roller Coaster", "Flight of the Hippogriff", "Poltergeist", "Comet", "Flying Dutchman", "Mad Mouse", "X", "Little Dipper", "Golden Nugget", "Tulireki", "Enigma", "Judge Roy Scream", "Grand Exposition Coaster", "Wabash Cannonball", "Woodstock Express", "Corkscrew", "Opa", "Alpen Blitz", "Rattlesnake", "Skyway", "Avalanche", "Whizzer", "Italian Job: Stunt Track", "Flight Deck", "Avatar Airbender", "Whirlwind", "Cyclops", "Volare", "Mini Mine Train", "Muskrat Scrambler", "Raging Wolf Bobs", "Road Runner Railway", "Jack Rabbit", "Cobra", "Twist n' Shout", "Screamin' Demon", "Sierra Sidewinder", "Boulder Dash", "Pikajuna", "Silver Comet", "SpongeBob SquarePants Rock Bottom Plunge", "Big Fury", "Road Runner Express", "Ricochet", "Giant Dipper", "Dahlonega Mine Train", "Little Bill's Giggle Coaster", "Hoot N Holler", "Dragon Fire", "Runaway Mine Train", "Flight of Fear", "Runaway Mountain", "Yankee Cannonball", "Kingdom Coaster", "Little Leaper", "Nemesis", "Flying Fish", "Dragon's Fury", "Pandemonium", "Road Runner Express", "Roller Skater", "Comet", "G Force", "Sea Dragon", "Hoosier Hurricane", "Backlot Stunt Coaster", "Korkkiruuvi", "Toboggan", "George and the Dragon", "Lost Coaster of Superstition Mountain", "Ragin' Cajun", "Vilda Musen", "Corkscrew", "Rollo Coaster", "River King Mine Train", "Black Hole", "Adventure Express", "Gotham City Gauntlet: Escape from Arkham Asylum", "WhirlWind", "Flying Unicorn", "Bob Track", "Roller Coaster", "Roller Soaker", "Blackbeard's Lost Treasure Train", "Avalanche", "Lil' Thunder", "Ricochet", "Steel First", "Jet Star", "Spacely's Sprocket Rockets", "Viking Voyage", "Big Dipper", "Orbitron", "Racer", "Nightmare at Crack Axle Canyon", "Mad Mouse", "Suspended Family Coaster", "SooperDooperLooper", "Outlaw", "Bird Rok", "Astro Orbiter", "Cobra", "Runaway Mine Train" ], "function": "<", "commonness": -15.52558364344922, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride", "class": "amusement_parks.ride", "friendly_name": "Amusement Ride", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "25.908^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "25.908", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride.height", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :amusement_parks.ride . \nFILTER (?x1 < 25.908)\n?x0 :amusement_parks.ride.height ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 140000100, "question": "list amusement rides shorter than 25.908 meters.", "answer": [ "Runaway Mine Train", "Bird Rok", "Cosmic Coaster", "Big Fury", "Pikajuna", "Thunderhawk", "Zippin Pippin", "Switchback Railway", "Lil' Thunder", "Rock n' Roller Coaster", "Sidewinder", "Sonic Spinball", "Skyway", "Flight Deck", "Flying Super Saturator", "WildCat", "Valhalla", "Scooby-Doo Spooky Coaster", "Flying Unicorn", "Flight of the Hippogriff", "Air", "Poltergeist", "Mr. Six's Pandemonium", "Woodstock Express", "Beaver Land Mine Ride", "Toboggan", "Wild Mouse", "Road Runner Railway", "Backlot Stunt Coaster", "Vauhtimato", "Thunder Run", "Fairly Odd Coaster", "Wabash Cannonball", "Bob Track", "The Raven", "Judge Roy Scream", "The Joker's Jinx", "Dahlonega Mine Train", "Skyway", "Spacely's Sprocket Rockets", "Grover's Alpine Express", "Woodstock Express", "Hornet", "Beastie", "Rock 'n' Roller Coaster Starring Aerosmith", "Nickelodeon Streak", "Oblivion", "Rollo Coaster", "Jack Rabbit", "Phoenix", "Avalanche", "Skyway", "Nightmare at Crack Axle Canyon", "Twisted Twins", "Italian Job: Stunt Track", "Kirnu", "The Howler", "Thunderbolt", "G Force", "Corkscrew", "George and the Dragon", "Sand Serpent", "Jet Star", "Vuoristorata", "Cannonball Run", "Yankee Cannonball", "Vonkaputous", "Lost Coaster of Superstition Mountain", "Silver Comet", "Astro Orbitor", "Magic Flyer", "Afterburner", "Thirteen", "AquaLoop", "American Thunder", "Swamp Fox", "Skyliner", "Vampire", "Jaguar!", "River King Mine Train", "SpongeBob SquarePants Rock Bottom Plunge", "It's a Small World", "Wild Mouse", "Untamed", "High Roller", "Flight of Fear", "Hoosier Hurricane", "Avatar Airbender", "Blue Streak", "Ozark Wildcat", "Jack Rabbit", "Astro Orbiter", "Stampida", "Pony Express", "Ragin' Cajun", "Thunderbolt", "Moto Coaster", "Hurler", "Corkscrew", "Ricochet", "Flying School", "Road Runner Express", "Cannon Ball", "Pegasus", "Looping Star", "Roller Skater", "Ninja", "Roller Soaker", "Black Hole", "Zambezi Zinger", "The Jester", "Blue Flyer", "Canyon Blaster", "Pandemonium", "Wildcat", "Great Chase", "Iron Dragon", "Pipeline Express", "It's a Small World", "Muskrat Scrambler", "Serpent", "Pegasus", "Runaway Mine Train", "Volare", "Racer", "Mad Mouse", "Flying Ace Aerial Chase", "Goldrusher", "Woodstock Express", "Rattlesnake", "Scooby's Gasping Ghostster Coaster", "Little Bill's Giggle Coaster", "Alpine Bobsled", "Salama", "Gotham City Gauntlet: Escape from Arkham Asylum", "Aqualoop", "Timberline Twister", "Trombi", "Wile E. Coyote's Grand Canyon Blaster", "Tom y Jerry", "Black Diamond", "Mammut", "Golden Nugget", "Flying Turns", "Korkkiruuvi", "Hoot N Holler", "Rock 'n' Roller Coaster", "Boulder Dash", "Woodstock Express", "Flyer Comet", "Mad Mouse", "Avalanche", "Frankie’s Mine Train", "Raptor Attack", "Great Chase", "Road Runner Express", "Swamp Thing", "Formule X", "Revolution", "Opa", "Montaña Suiza", "Enigma", "Flying Dutchman", "Blue Streak", "Little Leaper", "Comet", "It's a Small World", "Tornado", "Alpen Blitz", "Runaway Mountain", "Sea Dragon", "Sierra Sidewinder", "Big Dipper", "Leap-The-Dips", "Pepsi Orange Streak", "The Dragon", "Scorpion", "Hurler", "Gadget's Go Coaster", "Cornball Express", "Cobra", "SooperDooperLooper", "Screamin' Demon", "Canobie Corkscrew", "Suspended Family Coaster", "Scenic Railway", "Kingdom Coaster", "Viking Voyage", "Runaway Mine Train", "Twist n' Shout", "Python", "Vilda Musen", "Big Dipper", "Cobra", "Primeval Whirl", "Jr. Gemini", "Joust", "XLR-8", "High Roller", "Mad Mouse", "Raging Wolf Bobs", "Catwoman's Whip", "Flight of Fear", "Tutuki Splash", "Tulireki", "Kanonen", "Bavarian Beetle", "The Smiler", "Dragon Fire", "Dragon's Fury", "Corkscrew", "Vortex", "Jack Rabbit", "Little Dipper", "Flying Fish", "High Speed Thrill Coaster", "Road Runner Express", "Whizzer", "Dark Knight", "Giant Dipper", "Grand National", "Grand Exposition Coaster", "Skyride", "Mick Doohan's Motocoaster", "Outlaw", "Star Jets", "Nemesis", "Steel First", "Orbitron", "Exterminator", "Comet", "Canyon Blaster", "WhirlWind", "Road Runner Express", "Toboggan", "Big Dipper", "Mini Mine Train", "Corkscrew", "Jumbo Jet", "Cedar Creek Mine Ride", "La Vibora", "Toboggan", "Roller Coaster", "Skull Mountain", "Spinning Dragons", "It's a Small World", "Soarin' Eagle", "Carolina Goldrusher", "Rita", "X", "Lightnin' Loops", "Disaster Transport", "Cyclops", "Ricochet", "Blackbeard's Lost Treasure Train", "AquaLoop", "Jet Star", "Troublesome Trucks", "Big Dipper", "Adventure Express", "Tig'rr", "Whirlwind", "It's a Small World", "The Dark Knight Coaster", "Furius Baco", "Linnunrata", "Orbitron, Machines Volantes", "Sarajevo Bobsled" ], "function": "<", "commonness": -15.52558364344922, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride", "class": "amusement_parks.ride", "friendly_name": "Amusement Ride", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "25.908^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "25.908", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride.height", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :amusement_parks.ride . \nFILTER (?x1 < 25.908)\n?x0 :amusement_parks.ride.height ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 140000200, "question": "lower than 25.908 meters are which amusement rides?", "answer": [ "Flying Super Saturator", "The Jester", "Afterburner", "Rock n' Roller Coaster", "Enigma", "Grover's Alpine Express", "Canobie Corkscrew", "Wile E. Coyote's Grand Canyon Blaster", "Screamin' Demon", "Racer", "Road Runner Express", "Blackbeard's Lost Treasure Train", "Grand National", "Looping Star", "Zambezi Zinger", "Revolution", "Corkscrew", "Giant Dipper", "Untamed", "Whirlwind", "Corkscrew", "Bavarian Beetle", "Kanonen", "Vauhtimato", "Vortex", "Great Chase", "Cannonball Run", "Wildcat", "Nickelodeon Streak", "Italian Job: Stunt Track", "Big Dipper", "Road Runner Railway", "Judge Roy Scream", "Golden Nugget", "Tornado", "Avalanche", "Ozark Wildcat", "Runaway Mountain", "X", "The Smiler", "Big Fury", "Skyliner", "Scooby's Gasping Ghostster Coaster", "Ricochet", "Aqualoop", "The Howler", "Blue Flyer", "Pipeline Express", "Skyway", "Woodstock Express", "Vampire", "Woodstock Express", "Tutuki Splash", "Rock 'n' Roller Coaster Starring Aerosmith", "Linnunrata", "Formule X", "Astro Orbiter", "Toboggan", "Blue Streak", "Lost Coaster of Superstition Mountain", "It's a Small World", "Tig'rr", "Skyway", "Wild Mouse", "G Force", "Orbitron", "Wabash Cannonball", "Timberline Twister", "It's a Small World", "Flyer Comet", "Python", "Gotham City Gauntlet: Escape from Arkham Asylum", "Pepsi Orange Streak", "Thirteen", "Flight of Fear", "Runaway Mine Train", "Flying Unicorn", "Suspended Family Coaster", "Dahlonega Mine Train", "Little Leaper", "Ragin' Cajun", "Sea Dragon", "Jack Rabbit", "Cannon Ball", "Salama", "Cobra", "Comet", "Skyway", "Road Runner Express", "Flight of the Hippogriff", "Scorpion", "Switchback Railway", "Big Dipper", "Carolina Goldrusher", "Beaver Land Mine Ride", "Wild Mouse", "Muskrat Scrambler", "Jet Star", "Zippin Pippin", "SooperDooperLooper", "Alpen Blitz", "Corkscrew", "Tulireki", "Disaster Transport", "AquaLoop", "Volare", "Korkkiruuvi", "Flying School", "River King Mine Train", "Road Runner Express", "Silver Comet", "Swamp Thing", "Hurler", "Fairly Odd Coaster", "Scenic Railway", "Mad Mouse", "Cyclops", "Bob Track", "WildCat", "Dragon's Fury", "Road Runner Express", "SpongeBob SquarePants Rock Bottom Plunge", "Big Dipper", "High Roller", "Jet Star", "Flying Turns", "The Dark Knight Coaster", "Great Chase", "Pegasus", "Little Dipper", "Serpent", "High Roller", "Mini Mine Train", "Woodstock Express", "Flight Deck", "Phoenix", "Leap-The-Dips", "Viking Voyage", "Yankee Cannonball", "Hoosier Hurricane", "Outlaw", "Orbitron, Machines Volantes", "Canyon Blaster", "Hoot N Holler", "Jr. Gemini", "Tom y Jerry", "The Joker's Jinx", "Thunderhawk", "Mammut", "Mad Mouse", "Adventure Express", "Cobra", "Sidewinder", "Skull Mountain", "Steel First", "Sand Serpent", "Gadget's Go Coaster", "Thunder Run", "Spinning Dragons", "Rock 'n' Roller Coaster", "Flying Dutchman", "Cedar Creek Mine Ride", "Stampida", "Soarin' Eagle", "George and the Dragon", "Pandemonium", "Moto Coaster", "Rollo Coaster", "Lightnin' Loops", "Primeval Whirl", "Roller Soaker", "Blue Streak", "Astro Orbitor", "The Dragon", "Raging Wolf Bobs", "Grand Exposition Coaster", "Sierra Sidewinder", "Valhalla", "Rattlesnake", "Avatar Airbender", "Catwoman's Whip", "American Thunder", "XLR-8", "Dark Knight", "Air", "The Raven", "Whizzer", "Comet", "Vonkaputous", "Scooby-Doo Spooky Coaster", "Runaway Mine Train", "Beastie", "Vilda Musen", "Black Hole", "Thunderbolt", "Jack Rabbit", "Twisted Twins", "Dragon Fire", "Spacely's Sprocket Rockets", "Mick Doohan's Motocoaster", "Goldrusher", "Mr. Six's Pandemonium", "Troublesome Trucks", "Flying Fish", "Flying Ace Aerial Chase", "Woodstock Express", "Mad Mouse", "Pikajuna", "Raptor Attack", "Toboggan", "Sonic Spinball", "Black Diamond", "Alpine Bobsled", "Opa", "It's a Small World", "Pegasus", "Nemesis", "Cornball Express", "It's a Small World", "Swamp Fox", "Jack Rabbit", "Nightmare at Crack Axle Canyon", "Oblivion", "Poltergeist", "Roller Skater", "Joust", "Ninja", "Montaña Suiza", "Sarajevo Bobsled", "Bird Rok", "Backlot Stunt Coaster", "Ricochet", "Lil' Thunder", "Skyride", "Thunderbolt", "High Speed Thrill Coaster", "Flight of Fear", "Corkscrew", "Frankie’s Mine Train", "Trombi", "Twist n' Shout", "Jaguar!", "La Vibora", "Roller Coaster", "Hurler", "AquaLoop", "Boulder Dash", "WhirlWind", "Furius Baco", "Vuoristorata", "It's a Small World", "Jumbo Jet", "Kingdom Coaster", "Cosmic Coaster", "Pony Express", "Iron Dragon", "Avalanche", "Exterminator", "Little Bill's Giggle Coaster", "Hornet", "Star Jets", "Toboggan", "Rita", "Runaway Mine Train", "Magic Flyer", "Kirnu", "Canyon Blaster", "Big Dipper" ], "function": "<", "commonness": -15.52558364344922, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride", "class": "amusement_parks.ride", "friendly_name": "Amusement Ride", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "25.908^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "25.908", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride.height", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :amusement_parks.ride . \nFILTER (?x1 < 25.908)\n?x0 :amusement_parks.ride.height ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 140000300, "question": "list all the amusement park rides whose height is less than 25.908 m.", "answer": [ "Kirnu", "Runaway Mine Train", "Tulireki", "Furius Baco", "It's a Small World", "Wildcat", "Great Chase", "Cornball Express", "Rita", "Rock 'n' Roller Coaster", "Exterminator", "Big Dipper", "Sierra Sidewinder", "Nightmare at Crack Axle Canyon", "Italian Job: Stunt Track", "Grand Exposition Coaster", "Rollo Coaster", "Flying Unicorn", "Looping Star", "Blue Streak", "Mammut", "AquaLoop", "Flying School", "Whizzer", "Raptor Attack", "Mr. Six's Pandemonium", "Flying Dutchman", "Swamp Thing", "The Joker's Jinx", "Leap-The-Dips", "Skyliner", "Joust", 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Coyote's Grand Canyon Blaster", "Scenic Railway", "Silver Comet", "Flight of Fear", "Canobie Corkscrew", "Thunderbolt", "Timberline Twister", "Scorpion", "Untamed", "Moto Coaster", "Viking Voyage", "Magic Flyer", "Hoosier Hurricane", "Ninja", "Vauhtimato", "Adventure Express", "High Roller", "Ozark Wildcat", "Alpen Blitz", "Beaver Land Mine Ride", "Corkscrew", "Vuoristorata", "Roller Coaster", "Corkscrew", "SpongeBob SquarePants Rock Bottom Plunge", "Jumbo Jet", "Serpent", "Zippin Pippin", "It's a Small World", "AquaLoop", "Grand National", "Road Runner Express", "Skyway", "Black Diamond", "Woodstock Express", "Rattlesnake", "Pandemonium", "Skull Mountain", "The Dark Knight Coaster", "Gadget's Go Coaster", "Sarajevo Bobsled", "Racer", "Comet", "Mini Mine Train", "WhirlWind", "Opa", "Mick Doohan's Motocoaster", "Judge Roy Scream", "River King Mine Train", "Trombi", "Avalanche", "The Dragon", "Kingdom Coaster", "Road Runner Express", "Bavarian Beetle", "Tig'rr", "Enigma", "Nemesis", "Hornet", "Flying Turns", "Disaster Transport", "Roller Soaker", "Great Chase", "Lost Coaster of Superstition Mountain", "Revolution", "Astro Orbitor", "Vortex", "Mad Mouse", "Pepsi Orange Streak", "Formule X", "Dragon Fire", "Outlaw", "Mad Mouse", "Grover's Alpine Express", "Little Leaper", "Blue Flyer", "Runaway Mine Train", "The Jester", "Korkkiruuvi", "Muskrat Scrambler", "American Thunder", "Lightnin' Loops", "Little Dipper", "Orbitron, Machines Volantes", "Flying Ace Aerial Chase", "Cobra", "WildCat", "Vonkaputous", "Backlot Stunt Coaster", "Vampire", "Spinning Dragons", "Swamp Fox", "Oblivion", "Pony Express", "Cannonball Run", "Runaway Mine Train", "Avalanche", "Jaguar!", "Salama", "Screamin' Demon", "Skyride", "Toboggan", "Toboggan", "Giant Dipper", "Carolina Goldrusher", "Alpine Bobsled", "Jack Rabbit", "Tutuki Splash", "Tornado", "Avatar Airbender", "Twisted Twins", "Soarin' Eagle", "Zambezi Zinger", "Beastie", "It's a Small World", "Stampida", "X", "Spacely's Sprocket Rockets", "Runaway Mountain", "Star Jets", "Thunder Run", "Boulder Dash", "Road Runner Railway", "The Smiler", "Flight Deck", "Hurler", "Jet Star", "Little Bill's Giggle Coaster", "Wabash Cannonball", "Sidewinder", "Valhalla", "SooperDooperLooper", "Dark Knight", "Frankie’s Mine Train", "Kanonen", "Cannon Ball", "Scooby's Gasping Ghostster Coaster", "George and the Dragon", "Thirteen", "It's a Small World", "Afterburner", "Montaña Suiza", "Phoenix", "Cobra", "Woodstock Express", "Nickelodeon Streak", "Road Runner Express", "Sea Dragon", "Wild Mouse", "Pikajuna", "Toboggan", "The Raven", "Corkscrew", "XLR-8", "Skyway", "Whirlwind", "Golden Nugget", "Rock n' Roller Coaster", "Canyon Blaster", "Gotham City Gauntlet: Escape from Arkham Asylum", "Pegasus", "Troublesome Trucks", "Big Dipper", "Jr. Gemini", "La Vibora", "Suspended Family Coaster", "Primeval Whirl", "Flying Super Saturator", "Dragon's Fury", "The Howler", "Volare", "High Roller", "It's a Small World", "Hurler", "Vilda Musen", "Flying Fish", "Catwoman's Whip", "Raging Wolf Bobs", "Woodstock Express", "Flight of Fear", "Goldrusher", "Comet", "Ricochet", "Dahlonega Mine Train", "Lil' Thunder", "Astro Orbiter", "Thunderbolt", "Jack Rabbit", "Sand Serpent", "Road Runner Express", "Python", "Blue Streak", "Pegasus", "Mad Mouse", "Woodstock Express", "Pipeline Express", "Fairly Odd Coaster", "Iron Dragon", "Jack Rabbit", "Canyon Blaster", "High Speed Thrill Coaster" ], "function": "<", "commonness": -15.52558364344922, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "amusement_parks.ride", "class": "amusement_parks.ride", "friendly_name": "Amusement Ride", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "25.908^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "25.908", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "amusement_parks.ride.height", "friendly_name": "Height" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :amusement_parks.ride . \nFILTER (?x1 < 25.908)\n?x0 :amusement_parks.ride.height ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 141000000, "question": "how many of donald e. smith's children are actors?", "answer": [ "2" ], "function": "count", "commonness": -9.261689426535522, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.actor", "class": "film.actor", "friendly_name": "Film actor", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.0gyl0yc", "class": "people.person", "friendly_name": "Donald E. 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007", "American Airlines Flight 383", "LANSA Flight 508", "Middle East Airlines Flight 438", "1979 Garuda Fokker F28 crash", "Turkish Airlines Flight 278", "Garuda Indonesia Flight 421", "Helios Airways Flight 522", "American Airlines Flight 625", "TAM Transportes Aéreos Regionais Flight 402", "Inex-Adria Aviopromet Flight 1308", "Turkish Airlines Flight 1951", "Air New Zealand Flight 901", "Aeroflot Flight 821", "American Airlines Flight 1420", "VASP Flight 168", "Alaska Airlines Flight 261", "ValuJet Flight 592", "KLM Flight 1673", "Lufthansa Flight 2904", "Surinam Airways Flight 764", "Southwest Airlines Flight 1248", "Dominicana DC-9 air disaster", "Lauda Air Flight 004", "Imperial Airlines Flight 201/8", "Aer Lingus Flight 712", "ČSA Flight 001", "TAM Airlines Flight 3054", "Sabena Flight 548", "BOAC Flight 911", "TWA Flight 800", "Arrow Air Flight 1285", "1995 Trans Service Airlift Electra crash", "Eastern Air Lines Flight 855", "TWA Flight 841 of 1974", "Aeroflot Flight 7425", 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"American Airlines Flight 1420", "Cameroon Airlines Flight 3701", "1983 TAAG Angola Airlines Boeing 737 crash", "UTA Flight 772", "LAN Chile Flight 107", "Korean Air Lines Flight 902", "Avianca Flight 52", "Ozark Air Lines Flight 650", "Iran Aseman Airlines Flight 746", "Indian Airlines Flight 113", "American Airlines Flight 1", "American Airlines Flight 625", "Air China Flight 129", "VASP Flight 168", "US Airways Flight 1016", "Thai Airways Flight 365", "Swissair Flight 111", "China Airlines Flight 605", "Garuda Indonesia Flight 150", "Garuda Indonesia Flight 421", "Inex-Adria Aviopromet Flight 1308", "China Airlines Flight 006", "2002 Khankala Mi-26 crash", "ČSA Flight 001", "China Airlines Flight 140", "1979 Garuda Fokker F28 crash", "Indian Airlines Flight 257", "2009 Indonesian Air Force C-130H Hercules crash", "TWA Flight 841 of 1974", "American Airlines Flight 191", "Air India Flight 182", "Japan Air System Flight 451", "2010 Polish Air Force Tu-154 crash", "British Airways Flight 9", "Iraqi Airways Flight 163", "American Airlines Flight 96", "Cameroon Airlines Flight 786", "Avianca Flight 410", "Aeroflot Flight 593", "KLM Flight 867", "Varig Flight 820", "Japan Airlines Flight 446", "Asiana Airlines Flight 733", "TAM Transportes Aéreos Regionais Flight 402", "Alaska Airlines Flight 1866", "TWA Flight 843", "Vnukovo Airlines Flight 2801", "Delta Air Lines Flight 118", "United Airlines Flight 173", "Yemenia Flight 448", "Eastern Air Lines Flight 401", "Britannia Airways Flight 226A", "Delta Air Lines Flight 191", "Llandow air disaster", "Korean Air Flight 801", "Hapag-Lloyd Flight 3378", "LOT Flight 7", "USAir Flight 427", "BOAC Flight 911", "Lauda Air Flight 004", "American Airlines Flight 587", "Aeroflot Flight 411", "Middle East Airlines Flight 438", "Vietnam Airlines Flight 815", "One-Two-GO Airlines Flight 269", "Alitalia Flight 4128", "Icelandic Airlines Flight 001", "Philippine Airlines Flight 137", "Pan Am Flight 110", "Emirates Flight 407", "Avianca Flight 203", "Northwest Orient Airlines Flight 2501", "Malaysia Airlines Flight 653", "2007 Air Mauritanie hijacking", "Boeing 737 rudder issues", "Air Ontario Flight 1363", "Air France Flight 447", "Northeast Airlines Flight 823", "Turkish Airlines Flight 452", "Indian Airlines Flight 814", "BA CityFlyer Flight 8456", "Garuda Indonesia Flight 152", "Libyan Arab Airlines Flight 114", "Jat Airways Flight JU420", "Henan Airlines Flight 8387", "KLM Flight 607-E", "Air Vietnam Flight 706", "American Airlines Flight 1572", "LOT Flight 5055", "China Airlines Flight 676", "Turkish Airlines Flight 981", "PIA Flight 740", "USAir Flight 5050", "Pan Am Flight 759", "Lufthansa Flight 540", "British Airways Flight 5390", "Aerolíneas Argentinas Flight 386", "LOT Flight 165 hijacking", "Air Rhodesia Flight 825", "South African Airways Flight 295", "Northwest Airlines Flight 85", "China Northern Airlines Flight 6136", "SilkAir Flight 185", "Turkish Airlines Flight 634", "American Airlines Flight 444", "Eastern Air Lines Flight 663", "Eastern Air Lines Flight 855", "Alitalia Flight 771", "Dana Air Flight 992", "China Northwest Airlines Flight 2303", "Western Airlines Flight 470", "Air New Zealand Flight 901", "US Airways Flight 1549", "Continental Airlines Flight 1404", "Air India Flight 101", "ValuJet Flight 592", "British Airways Flight 149", "Southwest Airlines Flight 1248", "Continental Airlines Flight 12", "Japan Airlines Flight 2", "Armavia Flight 967", "Flying Tiger Line Flight 739", "Independent Air Flight 1851", "United Airlines Flight 227", "LAPA Flight 3142", "1995 Trans Service Airlift Electra crash", "Air Canada Flight 621", "Far Eastern Air Transport Flight 103", "Birgenair Flight 301", "Garuda Indonesia Flight 865", "EgyptAir Flight 843", "Air France Flight 2005", "Alaska Airlines Flight 261", "National Airlines Flight 193", "Avianca Flight 011", "Kano air disaster", "All Nippon Airways Flight 60", "Aeroflot Flight 3352", "2005 Iranian Air Force C-130 crash", "1974 Turkish Airlines Izmir crash", "Korean Air Flight 858", "TAM Airlines Flight 3054", "Air France Flight 4590", "China Northwest Airlines Flight 2119", "Agadir air disaster", "TWA Flight 541", "Singapore Airlines Flight 006", "Arrow Air Flight 1285", "Avensa Flight 358", "KLM Flight 1673", "Indian Airlines Flight 605", "Lufthansa Flight 288", "American Airlines Flight 320", "EgyptAir Flight 648", "ALM Flight 980", "Spantax Flight 995", "Continental Micronesia Flight 614", "PIA Flight 705", "Iran Air Flight 291", "American Airlines Flight 965", "Iran Air Tours Flight 945", "Aeroflot Flight 821", "Northwest Orient Airlines Flight 710", "2007 Sudan Airways hijacking", "Cyprus Airways Flight 284", "Siberia Airlines Flight 1812", "China General Aviation Flight 7552", "Indian Airlines Flight 491", "Nigeria Airways Flight 2120", "Japan Airlines Flight 472", "Pan Am Flight 812", "Sudan Airways Flight 139", "United Airlines Flight 955", "Japan Airlines Flight 715", "Pan Am Flight 103", "Vladivostok Air Flight 352", "Air France Flight 358", "British Airways Flight 38", "LANSA Flight 502", "Transavia Airlines Flight 462", "1978 Balkan Bulgarian Tupolev Tu-134 crash", "Piedmont Airlines Flight 467", "TWA Flight 840 bombing", "TWA Flight 847", "CAAC Flight 3303", "China Eastern Airlines Flight 5398", "Trans-Canada Air Lines Flight 831", "Eastern Air Lines Flight 375", "United Airlines Flight 409", "Delta Air Lines Flight 516", "Lion Air Flight 538", "Japan Airlines Flight 350", "Gulf Air Flight 771", "2006 Iran Air Tours crash", "America West Airlines Flight 556", "China Southern Airlines Flight 3943", "Delta Air Lines Flight 1288", "Aerosvit Flight 241", "Mandala Airlines Flight 091", "United Airlines Flight 811", "Turkish Airlines Flight 278", "Lufthansa Flight 2904", "Korean Air Lines Flight 007", "Air Algérie Flight 6289", "Kam Air Flight 904", "Civil Air Transport Flight B-908", "Air France Flight 296", "Iran Air Flight 655", "Galaxy Airlines Flight 203", "China Airlines Flight 611", "Sosoliso Airlines Flight 1145", "Caledonian Airways Flight 153", "China Northwest Airlines flight 2303", "British European Airways Flight 706", "PIA Flight 268", "Pan Am Flight 830", "2007 TAAG Angola Airlines crash", "United Airlines Flight 553", "Southwest Airlines Flight 1455", "Air France Flight 1611", "National Airlines Flight 27", "TWA Flight 841 of 1979", "American Eagle Flight 4184", "Delta Air Lines Flight 1141", "China Southern Airlines Flight 3456", "Flash Airlines Flight 604", "Ethiopian Airlines Flight 961" ], "function": ">=", "commonness": -15.829276987392365, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "52^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "52", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.passengers", "friendly_name": "Passengers" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 >= 52)\n?x0 :aviation.airliner_accident.passengers ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 142000200, "question": "which flight incidents had at least 52 people on the flight?", "answer": [ "1974 Turkish Airlines Izmir crash", "TACA Flight 510", "Southern Airways Flight 242", "Eastern Air Lines Flight 401", "Asiana Airlines Flight 733", "United Airlines Flight 955", "1975 Tan Son Nhut C-5 accident", "TWA Flight 843", "Trans-Canada Air Lines Flight 831", "Varig Airlines Flight 837", "Aerolinee Itavia Flight 870", "2010 Polish Air Force Tu-154 crash", "National Airlines Flight 193", "Cameroon Airlines Flight 3701", "Varig Flight 820", "Henan Airlines Flight 8387", "American Airlines Flight 1", "Pan Am Flight 214", "UTA Flight 772", "China Airlines Flight 611", "SA de Transport Aérien Flight 730", "Turkish Airlines Flight 1951", "British Airways Flight 5390", "Northwest Orient Airlines Flight 2501", "TWA Flight 841 of 1974", "Alaska Airlines Flight 1866", "Transavia Airlines Flight 462", "Inex-Adria Aviopromet Flight 1308", "2002 Khankala Mi-26 crash", "Air India Flight 101", "TWA Flight 840 bombing", "Air West Flight 612", "Iraqi Airways Flight 163", "Eastern Air Lines Flight 855", "China Airlines Flight 120", "Lion Air Flight 538", "Lufthansa Flight 288", "Air France Flight 1611", "Garuda Indonesia Flight 152", "Sabena Flight 548", "Alitalia Flight 4128", "Kegworth air disaster", "British Airtours Flight 28M", "US Airways Flight 1016", "Air France Flight 2005", "TWA Flight 841 of 1979", "Pan Am Flight 110", "China Airlines Flight 676", "Iran Aseman Airlines Flight 746", "All Nippon Airways Flight 61", "Air Rhodesia Flight 825", "Philippine Airlines Flight 137", "1972 Königs Wusterhausen air disaster", "Air India Flight 182", "Garuda Indonesia Flight 200", "Saudia Flight 163", "Adam Air Flight 172", "Kam Air Flight 904", "KLM Flight 607-E", "Arrow Air Flight 1285", "2006 Iran Air Tours crash", "Aerolíneas Argentinas Flight 386", "Far Eastern Air Transport Flight 103", "Thai Airways International Flight 311", "Middle East Airlines Flight 438", "Northeast Airlines Flight 823", "TWA Flight 847", "Kenya Airways Flight 431", "Mandala Airlines Flight 091", "Birgenair Flight 301", "Lauda Air Flight 004", "Avianca Flight 011", "Trans-Canada Air Lines Flight 810", "Air China Flight 129", "Pan Am Flight 806", "Ozark Air Lines Flight 650", "Indian Airlines Flight 491", "Cameroon Airlines Flight 786", "Turkish Airlines Flight 278", "TWA Flight 128", "American Airlines Flight 320", "British Airways Flight 9", "United Airlines Flight 811", "TAP Portugal Flight 425", "Hapag-Lloyd Flight 3378", "LANSA Flight 508", "2007 Air Mauritanie hijacking", "United Airlines Flight 859", "Armavia Flight 967", "Delta Air Lines Flight 516", "Flying Tiger Line Flight 739", "Pulkovo Aviation Enterprise Flight 612", "Ethiopian Airlines Flight 961", "Japan Airlines Flight 472", "ČSA Flight 001", "Jat Airways Flight JU420", "Cyprus Airways Flight 284", "China Northwest Airlines Flight 2119", "American Airlines Flight 383", "LANSA Flight 502", "Philippine Airlines Flight 812", "Kenya Airways Flight 507", "KLM Flight 1673", "1983 TAAG Angola Airlines Boeing 737 crash", "Alitalia Flight 112", "China Airlines Flight 006", "Korean Air Flight 858", "Japan Air System Flight 451", "Cathay Pacific Flight 780", "British Airways Flight 149", "Gulf Air Flight 771", "United Airlines Flight 232", "USAir Flight 427", "LAN Chile Flight 107", "Air France Flight 358", "USAir Flight 5050", "Imperial Airlines Flight 201/8", "Eastern Air Lines Flight 663", "Piedmont Airlines Flight 467", "Lufthansa Flight 540", "Eastern Air Lines Flight 375", "TAME Flight 120", "Air France Flight 447", "Civil Air Transport Flight B-908", "Continental Micronesia Flight 614", "Indian Airlines Flight 113", "American Airlines Flight 444", "Indian Airlines Flight 605", "Eastern Air Lines Flight 212", "China Eastern Airlines Flight 583", "Icelandic Airlines Flight 001", "Libyan Arab Airlines Flight 114", "Thai Airways International Flight 601", "American Eagle Flight 4184", "Turkish Airlines Flight 452", "Air Canada Flight 621", "Pan Am Flight 759", "Northwest Airlines Flight 188", "Air India Flight 855", "Air Algérie Flight 6289", "Yemenia Flight 448", "Western Airlines Flight 470", "Pan Am Flight 812", "Thai Airways Flight 365", "CAAC Flight 3303", "Indian Airlines Flight 814", "All Nippon Airways Flight 60", "BOAC Flight 911", "Singapore Airlines Flight 006", "Lion Air Flight 386", "Operation Entebbe", "Northwest Airlines Flight 255", "Pan Am Flight 125", "Aloha Airlines Flight 243", "Dawson's Field hijackings", "Cathay Pacific Flight 700Z", "United Airlines Flight 173", "EgyptAir Flight 648", "Korean Air Lines Flight 902", "Garuda Indonesia Flight 150", "Continental Airlines Flight 1713", "TAM Transportes Aéreos Regionais Flight 402", "China Northern Airlines Flight 6901", "Iran Air Flight 655", "Japan Airlines Flight 350", "Aeroflot Flight 821", "2009 Indonesian Air Force C-130H Hercules crash", "Agadir air disaster", "1995 Trans Service Airlift Electra crash", "TWA Flight 840 hijacking", "2005 Iranian Air Force C-130 crash", "Aeroflot Flight 411", "Air India Flight 403", "Delta Air Lines Flight 191", "EgyptAir Flight 990", "Pan Am Flight 103", "Iberia Airlines Flight 610", "Turkish Airlines Flight 634", "Surinam Airways Flight 764", "Martinair Flight 495", "KLM Flight 867", "Sudan Airways Flight 139", "Air New Zealand Flight 901", "United Airlines Flight 227", "Garuda Indonesia Flight 421", "Swissair Flight 111", "Delta Air Lines Flight 1141", "American Airlines Flight 1420", "Turkish Airlines Flight 158", "SilkAir Flight 185", "Scandinavian Airlines Flight 751", "UTAGE Flight 141", "TWA Flight 800", "American Airlines Flight 587", "Pacific Western Airlines Flight 501", "Air France Flight 296", "Avianca Flight 52", "Dan-Air Flight 1008", "Adam Air Flight 574", "Nigeria Airways Flight 2120", "South African Airways Flight 295", "ALM Flight 980", "BOAC Flight 712", "Aer Lingus Flight 712", "Flash Airlines Flight 604", "Indian Airlines Flight 257", "China Airlines Flight 140", "Korean Air Lines Flight 007", "TAM Airlines Flight 3054", "Garuda Indonesia Flight 865", "China Airlines Flight 642", "Lufthansa Flight 2904", "JetBlue Airways Flight 292", "China Airlines Flight 605", "British European Airways Flight 706", "Aeroflot Flight 902", "Aeroperú Flight 603", "Qantas Flight 1", "Scandinavian Airlines System Flight 347", "Japan Airlines Flight 2", "Stockport air disaster", "Japan Airlines Flight 715", "PIA Flight 268", "Aeroflot Flight 331", "Aeroflot Flight 3352", "Japan Airlines Flight 446", "Delta Air Lines Flight 1288", "American Airlines Flight 191", "USAir Flight 427", "ValuJet Flight 592", "1979 Garuda Fokker F28 crash", "Alaska Airlines Flight 261", "EgyptAir Flight 843", "World Airways Flight 30", "2007 Sudan Airways hijacking", "American Airlines Flight 625", "Air Inter Flight 148", "Iran Air Flight 291", "Northwest Airlines Flight 85", "TWA Flight 529", "America West Airlines Flight 556", "China General Aviation Flight 7552", "Helios Airways Flight 522", "TWA Flight 514", "Ethiopia Airlines Flight ET409", "Vladivostok Air Flight 352", "Canadian Pacific Air Lines Flight 402", "Air France Flight 007", "Continental Airlines Flight 1404", "Avensa Flight 358", "Braniff Flight 352", "Aeroflot Flight 593", "Llandow air disaster", "Spantax Flight 995", "LOT Flight 165 hijacking", "China Southern Airlines Flight 3943", "American Airlines Flight 965", "Sosoliso Airlines Flight 1145", "Emirates Flight 407", "Pan Am Flight 73", "Alitalia Flight 771", "United Airlines Flight 409", "PIA Flight 740", "Pan Am Flight 845", "United Airlines Flight 553", "Turkish Airlines Flight 981", "Air Canada Flight 190", "Aerosvit Flight 241", "Iran Air Tours Flight 945", "China Southern Airlines Flight 3456", "SAETA Flight 232", "Avianca Flight 203", "Vnukovo Airlines Flight 2801", "Turkish Airlines Flight 1951", "Air France Flight 4590", "Independent Air Flight 1851", "Boeing 737 rudder issues", "Japan Airlines Flight 123", "China Eastern Airlines Flight 5398", "LOT Flight 7", "Air Florida Flight 90", "Korean Air Flight 801", "Southwest Airlines Flight 1248", "Britannia Airways Flight 226A", "Thai Airways International Flight 261", "Kano air disaster", "Air France Flight 117", "Avianca Flight 410", "One-Two-GO Airlines Flight 269", "United Arab Airlines Flight 869", "1978 Balkan Bulgarian Tupolev Tu-134 crash", "LAPA Flight 3142", "VASP Flight 168", "Continental Airlines Flight 12", "China Northwest Airlines Flight 2303", "American Airlines Flight 1572", "BA CityFlyer Flight 8456", "Dominicana DC-9 air disaster", "Gimli Glider", "China Northwest Airlines flight 2303", "Aeroflot Flight 7425", "Malaysia Airlines Flight 653", "PIA Flight 705", "Northwest Orient Airlines Flight 710", "Caledonian Airways Flight 153", "Air Lanka Flight 512", "Air Ontario Flight 1363", "Eastern Air Lines Flight 66", "Delta Air Lines Flight 118", "West Caribbean Airways Flight 708", "National Airlines Flight 27", "Malaysia Airlines Flight 9", "American Airlines Flight 96", "Air Vietnam Flight 706", "Siberia Airlines Flight 1812", "1977 Benghazi Libyan Arab Airlines Tu-154 crash", "Air Canada Flight 189", "British Airways Flight 38", "Philippine Airlines Flight 434", "US Airways Flight 1549", "Pan Am Flight 830", "China Northern Airlines Flight 6136", "Air Rhodesia Flight 827", "Vietnam Airlines Flight 815", "Dana Air Flight 992", "Galaxy Airlines Flight 203", "2007 TAAG Angola Airlines crash", "LOT Flight 5055", "Spanair Flight 5022", "TWA Flight 541", "Bellview Airlines Flight 210", "Southwest Airlines Flight 1455" ], "function": ">=", "commonness": -15.829276987392365, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "52^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "52", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.passengers", "friendly_name": "Passengers" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 >= 52)\n?x0 :aviation.airliner_accident.passengers ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 142000300, "question": "52 or more passengers were involved in which aviation incidents?", "answer": [ "Air India Flight 101", "Spanair Flight 5022", "Avianca Flight 52", "Air France Flight 1611", "British Airways Flight 5390", "Air France Flight 4590", "China Northern Airlines Flight 6136", "Alaska Airlines Flight 1866", "PIA Flight 740", "Kegworth air disaster", "US Airways Flight 1016", "Aeroflot Flight 902", "Braniff Flight 352", "Jat Airways Flight JU420", "SA de Transport Aérien Flight 730", "Air Canada Flight 190", "British Airtours Flight 28M", "CAAC Flight 3303", "Aer Lingus Flight 712", "Eastern Air Lines Flight 663", "Transavia Airlines Flight 462", "Armavia Flight 967", "Gulf Air Flight 771", "Qantas Flight 1", "Pan Am Flight 845", "China Southern Airlines Flight 3943", "United Airlines Flight 232", "1975 Tan Son Nhut C-5 accident", "Indian Airlines Flight 605", "Delta Air Lines Flight 118", "Northwest Airlines Flight 85", "EgyptAir Flight 990", "TAM Transportes Aéreos Regionais Flight 402", "China General Aviation Flight 7552", "KLM Flight 867", "Icelandic Airlines Flight 001", "Air Vietnam Flight 706", "Libyan Arab Airlines Flight 114", "Mandala Airlines Flight 091", "Turkish Airlines Flight 278", "TWA Flight 843", "Pacific Western Airlines Flight 501", "United Airlines Flight 409", "China Northwest Airlines flight 2303", "Korean Air Lines Flight 902", "1983 TAAG Angola Airlines Boeing 737 crash", "ČSA Flight 001", "Air Lanka Flight 512", "Philippine Airlines Flight 812", "Aeroflot Flight 821", "Stockport air disaster", "Llandow air disaster", "2006 Iran Air Tours crash", "Aerolinee Itavia Flight 870", "Thai Airways International Flight 311", "2007 TAAG Angola Airlines crash", "China Southern Airlines Flight 3456", "Canadian Pacific Air Lines Flight 402", "Kano air disaster", "Surinam Airways Flight 764", "Air France Flight 007", "Philippine Airlines Flight 434", "Indian Airlines Flight 257", "Nigeria Airways Flight 2120", "Avianca Flight 011", "World Airways Flight 30", "United Airlines Flight 173", "VASP Flight 168", "Air Canada Flight 621", "Eastern Air Lines Flight 212", "Piedmont Airlines Flight 467", "American Airlines Flight 191", "Adam Air Flight 172", "Aeroflot Flight 3352", "Kenya Airways Flight 507", "Air West Flight 612", "Garuda Indonesia Flight 865", "American Airlines Flight 1572", "Northwest Airlines Flight 188", "Lufthansa Flight 540", "Dawson's Field hijackings", "2007 Sudan Airways hijacking", "Iran Air Flight 291", "JetBlue Airways Flight 292", "Cyprus Airways Flight 284", "2007 Air Mauritanie hijacking", "Dana Air Flight 992", "Aeroflot Flight 7425", "Aerosvit Flight 241", "One-Two-GO Airlines Flight 269", "Indian Airlines Flight 113", "Garuda Indonesia Flight 150", "Alitalia Flight 4128", "Imperial Airlines Flight 201/8", "KLM Flight 607-E", "Eastern Air Lines Flight 375", "TWA Flight 514", "Boeing 737 rudder issues", "National Airlines Flight 193", "Iran Air Flight 655", "Air Inter Flight 148", "Avianca Flight 410", "China Airlines Flight 006", "SAETA Flight 232", "Turkish Airlines Flight 634", "Thai Airways International Flight 601", "Lion Air Flight 538", "South African Airways Flight 295", "China Airlines Flight 611", "Air Florida Flight 90", "2002 Khankala Mi-26 crash", "Dan-Air Flight 1008", "Aeroflot Flight 593", "KLM Flight 1673", "Vladivostok Air Flight 352", "Japan Airlines Flight 2", "Eastern Air Lines Flight 855", "2009 Indonesian Air Force C-130H Hercules crash", "Aeroflot Flight 411", "Japan Airlines Flight 123", "Lion Air Flight 386", "Continental Airlines Flight 1404", "All Nippon Airways Flight 60", "Caledonian Airways Flight 153", "Hapag-Lloyd Flight 3378", "Continental Airlines Flight 12", "Iran Aseman Airlines Flight 746", "Middle East Airlines Flight 438", "Gimli Glider", "Air France Flight 2005", "Indian Airlines Flight 491", "Pulkovo Aviation Enterprise Flight 612", "China Airlines Flight 642", "Japan Airlines Flight 472", "American Airlines Flight 625", "United Airlines Flight 859", "Malaysia Airlines Flight 653", "Continental Airlines Flight 1713", "Saudia Flight 163", "American Airlines Flight 444", "National Airlines Flight 27", "ValuJet Flight 592", "Pan Am Flight 812", "Air India Flight 855", "Pan Am Flight 125", "Thai Airways International Flight 261", "TWA Flight 841 of 1974", "TWA Flight 840 bombing", "Emirates Flight 407", "Air Algérie Flight 6289", "American Airlines Flight 320", "TAME Flight 120", "LAN Chile Flight 107", "BOAC Flight 712", "Flash Airlines Flight 604", "LOT Flight 165 hijacking", "Trans-Canada Air Lines Flight 831", "Iberia Airlines Flight 610", "Air India Flight 403", "TAP Portugal Flight 425", "Avensa Flight 358", "TWA Flight 847", "Swissair Flight 111", "Korean Air Lines Flight 007", "Pan Am Flight 103", "Japan Air System Flight 451", "United Airlines Flight 811", "Pan Am Flight 806", "West Caribbean Airways Flight 708", "Pan Am Flight 759", "Northeast Airlines Flight 823", "Yemenia Flight 448", "Cathay Pacific Flight 780", "Siberia Airlines Flight 1812", "Turkish Airlines Flight 1951", "1995 Trans Service Airlift Electra crash", "American Airlines Flight 96", "Air Ontario Flight 1363", "EgyptAir Flight 843", "Adam Air Flight 574", "Eastern Air Lines Flight 66", "1978 Balkan Bulgarian Tupolev Tu-134 crash", "Northwest Orient Airlines Flight 710", "America West Airlines Flight 556", "Air France Flight 358", "Aloha Airlines Flight 243", "Avianca Flight 203", "Delta Air Lines Flight 1288", "Sudan Airways Flight 139", "Independent Air Flight 1851", "Trans-Canada Air Lines Flight 810", "Japan Airlines Flight 715", "Air France Flight 296", "PIA Flight 705", "BA CityFlyer Flight 8456", "Henan Airlines Flight 8387", "Continental Micronesia Flight 614", "Northwest Airlines Flight 255", "Alitalia Flight 771", "UTAGE Flight 141", "TWA Flight 128", "Martinair Flight 495", "United Airlines Flight 553", "Sosoliso Airlines Flight 1145", "Japan Airlines Flight 446", "China Northwest Airlines Flight 2303", "Aeroflot Flight 331", "Alaska Airlines Flight 261", "China Northern Airlines Flight 6901", "American Airlines Flight 383", "LOT Flight 7", "USAir Flight 427", "1977 Benghazi Libyan Arab Airlines Tu-154 crash", "2005 Iranian Air Force C-130 crash", "SilkAir Flight 185", "Korean Air Flight 801", "LOT Flight 5055", "Thai Airways Flight 365", "China Airlines Flight 140", "Ethiopian Airlines Flight 961", "Singapore Airlines Flight 006", "Pan Am Flight 830", "British Airways Flight 38", "Iraqi Airways Flight 163", "Kenya Airways Flight 431", "Southern Airways Flight 242", "Pan Am Flight 73", "Britannia Airways Flight 226A", "Turkish Airlines Flight 452", "Arrow Air Flight 1285", "LANSA Flight 502", "EgyptAir Flight 648", "TWA Flight 840 hijacking", "TAM Airlines Flight 3054", "Air France Flight 447", "US Airways Flight 1549", "China Airlines Flight 120", "Aerolíneas Argentinas Flight 386", "Scandinavian Airlines System Flight 347", "Japan Airlines Flight 350", "PIA Flight 268", "TWA Flight 541", "Operation Entebbe", "Pan Am Flight 214", "Air Rhodesia Flight 827", "Lufthansa Flight 288", "Northwest Orient Airlines Flight 2501", "British European Airways Flight 706", "China Airlines Flight 605", "Cameroon Airlines Flight 3701", "Iran Air Tours Flight 945", "Alitalia Flight 112", "ALM Flight 980", "Malaysia Airlines Flight 9", "Delta Air Lines Flight 516", "Philippine Airlines Flight 137", "Delta Air Lines Flight 191", "LAPA Flight 3142", "Varig Flight 820", "Galaxy Airlines Flight 203", "Spantax Flight 995", "Ozark Air Lines Flight 650", "American Eagle Flight 4184", "TWA Flight 529", "Helios Airways Flight 522", "Air India Flight 182", "Air France Flight 117", "Western Airlines Flight 470", "Eastern Air Lines Flight 401", "Civil Air Transport Flight B-908", "American Airlines Flight 965", "Southwest Airlines Flight 1248", "British Airways Flight 149", "Vietnam Airlines Flight 815", "Air Rhodesia Flight 825", "United Airlines Flight 227", "Vnukovo Airlines Flight 2801", "Turkish Airlines Flight 158", "China Northwest Airlines Flight 2119", "BOAC Flight 911", "Garuda Indonesia Flight 152", "1974 Turkish Airlines Izmir crash", "TWA Flight 841 of 1979", "United Airlines Flight 955", "American Airlines Flight 1420", "Turkish Airlines Flight 981", "All Nippon Airways Flight 61", "Bellview Airlines Flight 210", "Air New Zealand Flight 901", "American Airlines Flight 587", "TWA Flight 800", "Lauda Air Flight 004", "USAir Flight 427", "Flying Tiger Line Flight 739", "United Arab Airlines Flight 869", "Agadir air disaster", "1972 Königs Wusterhausen air disaster", "Birgenair Flight 301", "Scandinavian Airlines Flight 751", "TACA Flight 510", "Asiana Airlines Flight 733", "Pan Am Flight 110", "2010 Polish Air Force Tu-154 crash", "Southwest Airlines Flight 1455", "Cameroon Airlines Flight 786", "Dominicana DC-9 air disaster", "Inex-Adria Aviopromet Flight 1308", "Varig Airlines Flight 837", "LANSA Flight 508", "Korean Air Flight 858", "USAir Flight 5050", "Garuda Indonesia Flight 200", "Indian Airlines Flight 814", "Far Eastern Air Transport Flight 103", "China Airlines Flight 676", "1979 Garuda Fokker F28 crash", "Aeroperú Flight 603", "Turkish Airlines Flight 1951", "Cathay Pacific Flight 700Z", "Lufthansa Flight 2904", "Kam Air Flight 904", "American Airlines Flight 1", "Garuda Indonesia Flight 421", "Air Canada Flight 189", "China Eastern Airlines Flight 583", "UTA Flight 772", "Ethiopia Airlines Flight ET409", "British Airways Flight 9", "China Eastern Airlines Flight 5398", "Delta Air Lines Flight 1141", "Air China Flight 129", "Sabena Flight 548" ], "function": ">=", "commonness": -15.829276987392365, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "52^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "52", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.passengers", "friendly_name": "Passengers" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 >= 52)\n?x0 :aviation.airliner_accident.passengers ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 142000400, "question": "involving no less than 52 passengers were which aviation incidents?", "answer": [ "Pan Am Flight 812", "Eastern Air Lines Flight 855", "Ethiopian Airlines Flight 961", "Spantax Flight 995", "Cathay Pacific Flight 700Z", "Avianca Flight 52", "Surinam Airways Flight 764", "China Northwest Airlines Flight 2303", "LAPA Flight 3142", "Vnukovo Airlines Flight 2801", "1979 Garuda Fokker F28 crash", "Cathay Pacific Flight 780", "Avianca Flight 011", "Agadir air disaster", "Helios Airways Flight 522", "Delta Air Lines Flight 118", "Avianca Flight 410", "TWA Flight 128", "1975 Tan Son Nhut C-5 accident", "CAAC Flight 3303", "Continental Airlines Flight 1713", "Malaysia Airlines Flight 9", "2006 Iran Air Tours crash", "Air France Flight 1611", "EgyptAir Flight 843", "Aerolinee Itavia Flight 870", "Alaska Airlines Flight 1866", "TACA Flight 510", "American Airlines Flight 383", "TWA Flight 841 of 1974", "SA de Transport Aérien Flight 730", "Hapag-Lloyd Flight 3378", "Kenya Airways Flight 507", "Indian Airlines Flight 814", "2007 Air Mauritanie hijacking", "Iberia Airlines Flight 610", "Japan Airlines Flight 123", "Pan Am Flight 806", "China Southern Airlines Flight 3943", "Lufthansa Flight 2904", "US Airways Flight 1016", "Air Florida Flight 90", "China Airlines Flight 006", "Air France Flight 447", "Cameroon Airlines Flight 786", "TAME Flight 120", "Air Canada Flight 189", "Nigeria Airways Flight 2120", "Bellview Airlines Flight 210", "All Nippon Airways Flight 60", "Saudia Flight 163", "UTA Flight 772", "Indian Airlines Flight 257", "SAETA Flight 232", "Jat Airways Flight JU420", "Turkish Airlines Flight 452", "1974 Turkish Airlines Izmir crash", "LANSA Flight 508", "American Airlines Flight 320", "Air India Flight 855", "Ethiopia Airlines Flight ET409", "Pan Am Flight 103", "Cameroon Airlines Flight 3701", "TWA Flight 514", "Turkish Airlines Flight 158", "China Eastern Airlines Flight 5398", "Korean Air Lines Flight 902", "Pulkovo Aviation Enterprise Flight 612", "Alaska Airlines Flight 261", "Southwest Airlines Flight 1248", "British Airways Flight 149", "Lion Air Flight 538", "EgyptAir Flight 990", "American Airlines Flight 1572", "USAir Flight 5050", "Korean Air Flight 858", "Indian Airlines Flight 113", "Iran Aseman Airlines Flight 746", "Dana Air Flight 992", "Lufthansa Flight 288", "Pan Am Flight 830", "LAN Chile Flight 107", "Turkish Airlines Flight 634", "Gimli Glider", "China Southern Airlines Flight 3456", "Air France Flight 007", "Garuda Indonesia Flight 200", "Aeroflot Flight 411", "TWA Flight 800", "Southwest Airlines Flight 1455", "American Airlines Flight 1420", "Japan Airlines Flight 446", "Aeroflot Flight 331", "2007 TAAG Angola Airlines crash", "TAM Transportes Aéreos Regionais Flight 402", "LOT Flight 5055", "Northwest Airlines Flight 188", "National Airlines Flight 193", "Eastern Air Lines Flight 375", "Garuda Indonesia Flight 865", "2007 Sudan Airways hijacking", "Dawson's Field hijackings", "Transavia Airlines Flight 462", "Northwest Airlines Flight 85", "PIA Flight 740", "British Airtours Flight 28M", "Galaxy Airlines Flight 203", "Northwest Airlines Flight 255", "Kegworth air disaster", "American Airlines Flight 1", "Aerolíneas Argentinas Flight 386", "Llandow air disaster", "Delta Air Lines Flight 516", "Korean Air Flight 801", "Spanair Flight 5022", "KLM Flight 607-E", "Varig Flight 820", "Japan Airlines Flight 350", "Air Canada Flight 190", "Aeroperú Flight 603", "JetBlue Airways Flight 292", "US Airways Flight 1549", "Dominicana DC-9 air disaster", "United Arab Airlines Flight 869", "ALM Flight 980", "Lion Air Flight 386", "Civil Air Transport Flight B-908", "Kenya Airways Flight 431", "Pan Am Flight 214", "United Airlines Flight 227", "Air France Flight 296", "2009 Indonesian Air Force C-130H Hercules crash", "2002 Khankala Mi-26 crash", "PIA Flight 268", "Vladivostok Air Flight 352", "China Northern Airlines Flight 6136", "Martinair Flight 495", "Stockport air disaster", "Garuda Indonesia Flight 421", "Boeing 737 rudder issues", "United Airlines Flight 811", "Sudan Airways Flight 139", "TWA Flight 843", "TWA Flight 529", "Gulf Air Flight 771", "Continental Micronesia Flight 614", "Siberia Airlines Flight 1812", "Indian Airlines Flight 491", "Thai Airways International Flight 601", "1978 Balkan Bulgarian Tupolev Tu-134 crash", "KLM Flight 867", "Scandinavian Airlines Flight 751", "China Airlines Flight 611", "Japan Air System Flight 451", "Aer Lingus Flight 712", "Air India Flight 101", "Southern Airways Flight 242", "Iraqi Airways Flight 163", "Kam Air Flight 904", "Inex-Adria Aviopromet Flight 1308", "Air West Flight 612", "ValuJet Flight 592", "Cyprus Airways Flight 284", "South African Airways Flight 295", "Air Vietnam Flight 706", "Sabena Flight 548", "Caledonian Airways Flight 153", "USAir Flight 427", "China Northern Airlines Flight 6901", "British European Airways Flight 706", "Garuda Indonesia Flight 152", "Northeast Airlines Flight 823", "Turkish Airlines Flight 278", "EgyptAir Flight 648", "Scandinavian Airlines System Flight 347", "1983 TAAG Angola Airlines Boeing 737 crash", "TWA Flight 840 hijacking", "Air India Flight 182", "Aloha Airlines Flight 243", "China Northwest Airlines flight 2303", "Aeroflot Flight 3352", "United Airlines Flight 232", "Arrow Air Flight 1285", "TWA Flight 841 of 1979", "SilkAir Flight 185", "TAM Airlines Flight 3054", "Northwest Orient Airlines Flight 710", "Air France Flight 117", "Libyan Arab Airlines Flight 114", "China Airlines Flight 676", "1995 Trans Service Airlift Electra crash", "Aeroflot Flight 593", "West Caribbean Airways Flight 708", "LANSA Flight 502", "Continental Airlines Flight 12", "Kano air disaster", "Delta Air Lines Flight 1141", "Iran Air Tours Flight 945", "Air France Flight 358", "Qantas Flight 1", "American Airlines Flight 587", "Far Eastern Air Transport Flight 103", "American Eagle Flight 4184", "Lufthansa Flight 540", "Philippine Airlines Flight 137", "Turkish Airlines Flight 1951", "National Airlines Flight 27", "ČSA Flight 001", "China Airlines Flight 605", "UTAGE Flight 141", "Air Lanka Flight 512", "China Airlines Flight 642", "Alitalia Flight 4128", "Indian Airlines Flight 605", "Air New Zealand Flight 901", "China Eastern Airlines Flight 583", "Korean Air Lines Flight 007", "American Airlines Flight 965", "Flash Airlines Flight 604", "Middle East Airlines Flight 438", "Alitalia Flight 771", "Thai Airways International Flight 261", "China Airlines Flight 140", "Air China Flight 129", "Canadian Pacific Air Lines Flight 402", "Singapore Airlines Flight 006", "One-Two-GO Airlines Flight 269", "United Airlines Flight 955", "BA CityFlyer Flight 8456", "Mandala Airlines Flight 091", "United Airlines Flight 409", "All Nippon Airways Flight 61", "Philippine Airlines Flight 812", "Aeroflot Flight 902", "Japan Airlines Flight 472", "Air Ontario Flight 1363", "LOT Flight 165 hijacking", "Thai Airways International Flight 311", "Vietnam Airlines Flight 815", "Air Rhodesia Flight 825", "2010 Polish Air Force Tu-154 crash", "Varig Airlines Flight 837", "Yemenia Flight 448", "American Airlines Flight 191", "Braniff Flight 352", "American Airlines Flight 625", "Pan Am Flight 759", "Ozark Air Lines Flight 650", "Air Canada Flight 621", "Japan Airlines Flight 715", "Pan Am Flight 73", "China General Aviation Flight 7552", "Adam Air Flight 172", "TWA Flight 541", "Emirates Flight 407", "Philippine Airlines Flight 434", "Eastern Air Lines Flight 401", "Iran Air Flight 291", "Pacific Western Airlines Flight 501", "Aeroflot Flight 7425", "Aerosvit Flight 241", "Trans-Canada Air Lines Flight 810", "British Airways Flight 9", "Delta Air Lines Flight 1288", "Turkish Airlines Flight 981", "Turkish Airlines Flight 1951", "Alitalia Flight 112", "Imperial Airlines Flight 201/8", "Garuda Indonesia Flight 150", "United Airlines Flight 859", "Armavia Flight 967", "Continental Airlines Flight 1404", "America West Airlines Flight 556", "Adam Air Flight 574", "Air France Flight 2005", "TAP Portugal Flight 425", "Pan Am Flight 125", "Eastern Air Lines Flight 212", "Lauda Air Flight 004", "Sosoliso Airlines Flight 1145", "Eastern Air Lines Flight 66", "Pan Am Flight 845", "2005 Iranian Air Force C-130 crash", "British Airways Flight 38", "Avianca Flight 203", "Flying Tiger Line Flight 739", "Air India Flight 403", "VASP Flight 168", "PIA Flight 705", "China Airlines Flight 120", "Thai Airways Flight 365", "Eastern Air Lines Flight 663", "Piedmont Airlines Flight 467", "American Airlines Flight 96", "BOAC Flight 712", "Northwest Orient Airlines Flight 2501", "British Airways Flight 5390", "KLM Flight 1673", "Independent Air Flight 1851", "Operation Entebbe", "Iran Air Flight 655", "Malaysia Airlines Flight 653", "Swissair Flight 111", "Birgenair Flight 301", "Air Algérie Flight 6289", "Air Rhodesia Flight 827", "Aeroflot Flight 821", "China Northwest Airlines Flight 2119", "Dan-Air Flight 1008", "Britannia Airways Flight 226A", "Henan Airlines Flight 8387", "Trans-Canada Air Lines Flight 831", "Air France Flight 4590", "Avensa Flight 358", "Pan Am Flight 110", "TWA Flight 847", "United Airlines Flight 173", "1972 Königs Wusterhausen air disaster", "1977 Benghazi Libyan Arab Airlines Tu-154 crash", "United Airlines Flight 553", "Icelandic Airlines Flight 001", "Western Airlines Flight 470", "Japan Airlines Flight 2", "Asiana Airlines Flight 733", "TWA Flight 840 bombing", "World Airways Flight 30", "BOAC Flight 911", "USAir Flight 427", "LOT Flight 7", "Delta Air Lines Flight 191", "Air Inter Flight 148", "American Airlines Flight 444" ], "function": ">=", "commonness": -15.829276987392365, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "52^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "52", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.passengers", "friendly_name": "Passengers" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 >= 52)\n?x0 :aviation.airliner_accident.passengers ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 143000000, "question": "what lakes have a length at most 17.0 kilometers?", "answer": [ "Ozette Lake", "Krokų Lanka", "Lake Porkuni", "Laguna de Leche", "Dobbertiner See", "Sihlsee", "Branch Lake", "Two Medicine Lake", "Kootenai Lakes", "Lugu Lake", "Viitna Pikkjärv", "Lower Quartz Lake", "Kummerower See", "Rock Lake", "Köthener See", "Ticha Reservoir", "Lake Monginup", "Middle Quartz Lake", "Capitol Lake", "Swains Lake", "Johnson Lake", "Hussain Sagar", "Mavrovo Lake", "Lake Yosemite", "Gyrfalcon Lake", "Lake Shannon", "Eidevatnet", "Lac de Mondély", "Hohen Sprenzer See", "Crystal Lake", "Fourth Connecticut Lake", "Burgäschisee", "Icefloe Lake", "Lough Sheelin", "Farley Lake", "Glenns Lake", "Leirvatnet", "Hidden Lake", "Cooking Lake", "Arnensee", "Big Moose Lake", "Holden", "Thousand Island Lake", "Wet Lake", "Cuicocha Lake", "Lac Sante", "Schwansee", "Lake Kildinskoye", "Lake Šakarvai", "Putzarer See", "False River", "Echo Lake", "Jonsvatnet", "Arstaddalsdammen", "Lag Tuleritg", "Lac de Chaumeçon", "Straumvatnet", "Middle Cramer Lake", "Rogers Lake", "Lake Paatari", "Lake of the Woods", "Foster Reservoir", "Goose Pond", "Lake Poinsett", "Upper Bead Lake", "Grand Sable Lake", "Marie Lake", "Lake Gardno", "New Hogan Lake", "Bowknot Lake", "Gittruper See", "Lake Five", "Black Vir Lake", "Chocorua Lake", "Suttle Lake", "Lake Szelid", "McDougall Lake", "Lac de Coiselet", "Fuschlsee", "Tranque Puclaro", "Fateh Sagar Lake", "Maxwell Lake", "Lake Nosbonsing", "Crater Lake", "Winefred Lake", "Lake Fryxell", "Finnknevatnet", "Valnesvatnet", "Almåsgrønningen", "Wockersee", "Loch Lomond", "Neversink Reservoir", "Restoule Lake", "Kobbvatnet", "Coal Lake", "Baroon Pocket Dam", "Burnas Lagoon", "Stuorajávri", "Lac de Pérolles", "Beauvais Lake", "Lake Chemong", "Bellamy Reservoir", "Tule Lake", "Booragoon Lake", "Kelly Lake", "Onondaga Lake", "Lake Caliraya", "Lake Wentworth", "Penacook Lake", "Pleasant Lake", "Ayers Island Reservoir", "Słupca Lake", "Bakans", "Lac de Monteynard-Avignonet", "Store Svenningsvatnet", "Walchensee", "Trenter See", "Silver Lake", "Lake of the Crags", "Gákkajávri", "Nong Han Kumphawapi Lake", "Avalanche Lake", "Edgbaston Reservoir", "Fustvatnet", "Laguna Brava", "Woezer See", "Taferlklaussee", "Lower Hanson Lake", "Meiktila Lake", "Malmsjøen", "Llyn Cefni", "Lake Burgas", "Benbrook Lake", "Cracker Lake", "Dan Hole Pond", "Cranberry Lake", "Lake Kaindy", "Øyangsvatnet", "Lake Sils", "Pats Lake", "Lake Mary", "Castle Semple Loch", "Röblinsee", "Topaz Lake", "Timpa Lake", "Lake Letas", "Olivia Lake", "Lysvatnet", "Great Dąbrowa", "Lake Kalli", "Lac de Saint-Point", "Lake Wohlen", "Harrison Lake", "Jackfish Lake", "Høvringsvatnet", "Linlithgow Loch", "Saskatoon Lake", "Newfarm Loch", "Merrymeeting Lake", "Lac de Gérardmer", "Großer Auesee", "Storgollomsvatnet", "Engli", "Sølensjøen", "Wolf Lake", "Lake Plav", "Andorsjøen", "Cross Lake", "Lac du Vieux Emosson", "Franklin Pierce Lake", "Lake Klooga", "Silver Lake Reservoir", "Lac Brenet", "Ullackalie Lagoon", "Nubanusit Lake", "Scituate Reservoir", "Nedrevatnet", "Lake Sterzh", "Skatutakee Lake", "Holden", "Goat Lake", "Cerulean Lake", "Manchester Bolton & Bury Reservoir", "Shoe Lake", "Mammoth Pool Reservoir", "Coniston Water", "Bannwaldsee", "Lake Ilsanjo", "Skyvatn", "Lake Brienz", "Lac de Saint-Mandé", "McKay Reservoir", "Grand Lac Nominingue", "Mullett Lake", "Bench Lake", "Navajo Lake", "Wast Water", "Forrestdale Lake", "Heron Lake", "Jellyfish Lake", "Cultus Lake", "Canopus Lake", "Murtnaghurt Lagoon", "McWillards Lake", "Puslinch Lake", "Lake Doirani", "Little Bow Lake Reservoir", "Atkinson Dam", "Llyn Padarn", "Lesjaskogsvatnet", "Stortissvatnet", "Triangle Lake", "Lake Letta", "Loch Katrine", "Templiner See", "Šutmansko Lake", "Lago di Saoseo", "Grössinsee", "Karakul", "Alatsee", "Lac des Brenets", "Lake Lila", "Eau d'Heure lakes", "Lake Veisiejis", "Canobie Lake", "South Twin Lake", "Hiltruper See", "Paddy's Lake", "White Lake", "Geneva Lake", "Selliner See (Rügen)", "Étangs de Vaux et de Baye", "Degnepollvatnet", "Lake Charles", "Makkvatnet", "Obersee", "Holly Lake", "Lac de Chambly", "Kjemåvatnet", "Baxter Lake", "Rotsee", "Four Mile Lake", "Sunset Reservoir", "Lac de Pannecière", "Lago del Sambuco", "Lake Tikub", "Alsvågvatnet", "Loon Lake", "Vuontisjärvi", "Lake Koosa", "Lake Cachí", "Lake Rescue", "Cramoner See", "Suncook Lakes", "Simskardvatnet", "Perkins Lake", "Belauer See", "Brûlé Lake", "Lake Turgoyak", "Katchewanooka Lake", "Kjelvatnet", "Lake Rotokakahi", "Radener See", "Liepāja lake", "Champagne Pool", "Lake Virelles", "Jackstraw Lake", "Minster Pool", "Tyrrell Lake", "Great Lake of Buni Jezerce", "Grand Lake", "Lake Hennessey", "Lake Annecy", "Cedar Lake", "Øyungen", "Pemigewasset Lake", "Llyn Brenig", "Little Fish Lake", "Barkauer See", "Achensee", "Hidden Lake", "Kidston Lake", "Madge Lake", "Tsonevo Reservoir", "Lake Amtkel", "Ewen Maddock Dam", "Laksjøen", "Gásadatjávri", "Lac de l'Abbaye", "Schöhsee", "Lake Bütgenbach", "Lake Rotomahana", "Travers Reservoir", "Golyam Beglik", "Mascoma Lake", "Grand Pond", "Clinton Lake", "Lake Ossiach", "Goose Lake", "O.C. Fisher Reservoir", "Lake Boyukshor", "Lake Effie", "Türlersee", "Herthasee", "Edna Lake", "Pine Lake", "Calero Reservoir", "Sparrow Lake", "Lake Pichola", "Back Lake", "Blue Marsh Lake", "Lake Burrumbeet", "Inkwilersee", "Lai da Nalps", "Little Warbonnet Lake", "Gleniffer Lake", "Schwielowsee", "Lake Redstone", "Kubija", "Rachelsee", "Winnisquam Lake", "Lough Owel", "Chickadee Lake", "Peyto Lake", "Crowsnest Lake", "Lieps", "Loch Venachar", "Trappers Lake", "Moonshine Lake", "Mørsvikvatnet", "Ramsgjelvatnet", "Leamy Lake", "Semerwater", "New Melones Lake", "Hammervatnet", "Süseler See", "Goldberger See", "Lake Ponchozero", "Studnica lake", "Stoney Indian Lake", "Lake Albacutya", "Loch A'an", "Lake Băneasa", "Elbow Lake", "Racetrack Playa", "Petnja", "Windmaker Lake", "Syndle", "Running Crane Lake", "Lake Tengrela", "Dofinivka Estuary", "Lake Janet", "Powwow Pond", "Counterfeit Lake", "Berovo Lake", "Lake Murati", "Upper Hanson Lake", "Lac de la Plaine", "Alexander Lake", "Skeleton Lake", "Brusdalsvatnet", "Profile Lake", "Feren", "Lake Ocheda, Minnesota", "Regan Lake", "Lake Whatcom", "Frentress Lake", "Thunder Lake", "Shagany Lagoon", "Lac de Salanfe", "Lake Vagula", "Virmajärvi", "Lake Guatavita", "Lake Nordenskjöld", "Fishercap Lake", "Russell Lake", "Lac d'Antre", "Canovasee", "Greenough Pond", "Halbendorfer See", "Surprise Lake", "Langesjøen", "Boy Lake", "Lake Harku", "Grünsee (Berchtesgadener Land)", "Lake Kizaki", "Blue Lake", "Galrigs Loch, Ayrshire", "Großer Arbersee", "Lake Kanasatka", "Saadjärv", "Lake Lysimachia", "Trübtensee", "Gwiazda Lake", "Lake Nooney", "Rogen", "Karwowo Lake", "Silver Lake", "Kostal Lake", "Lake of Ledinci", "Trout Lake", "Rockport Reservoir", "Norderteich", "Lonesome Lake", "Stinson Lake", "Skorradalsvatn", "Musreau Lake", "Silver Lake", "Burgsee", "Mendum's Pond", "Weitsee", "Bayles Lake", "Upper Cramer Lake", "Miquelon Lake", "Lake Couchiching", "Kjelvatnet", "Horsetooth Reservoir", "Paugus Bay", "Turkey Ponds", "Gulbrandsen Lake", "Bill Gunn Dam", "Lake Tanzawa", "Buck Lake", "Budaki Lagoon", "Lake Nyos", "Großer Plessower See", "Bajit Spielgajávri", "Tempe Town Lake", "Lake Warfaaz", "Schliersee", "Lago Cecita", "Nanthi Lagoon", "Shannon Pot", "Schoharie Reservoir", "Lake Seppings", "Fish Lake", "Lake Kawaupaka", "Mokowanis Lake", "Llyn Celyn", "Vidra Lake", "Little Branch Lake", "Kaina Lake", "Gunsight Lake", "Black Lake", "Torside Reservoir", "Ethel Lake", "June Lake", "Lake Burley Griffin", "Balsam Lake", "Vasslivatnet", "Lake Parker", "Friedrichsmoorer Karpfenteiche", "Lake Laka", "Ghost Lake", "Angus Horne Lake", "Iceberg Lake", "Khabikki Lake", "Lake Bosumtwi", "Lake Mathews", "Margaret Lake", "Los Vaqueros Reservoir", "Fundin", "Weston Reservoir", "Crawling Valley Reservoir", "Weißer See", "Portage Lake", "Baghsar Lake", "Soløyvatnet", "Terkhiin Tsagaan Lake", "Lough Ennell", "Gråsjøen", "Juovvajávri", "Grafton Pond", "Forsvatnet", "Yorkend Lake", "Gåsvatnet", "Zub Lake", "Korssjøen", "Salzgittersee", "Sauer Lake", "Hreðavatn", "Elk Lake", "Amawalk Reservoir", "Lake Ishiba Ng'andu", "Lake Amara", "Dollar Lake", "Lake Narach", "Big Bear Lake", "Sawtooth Lake", "Badovac Lake", "Lake Quinault", "Hücker Moor", "Våvatnet", "Lago di Varano", "Lake Kerkini", "Avalanche Lake", "Lake Vyrnwy", "Clendinning Lake", "Sildhopvatnet", "Whitewater Lake", "Mother Goose Lake", "Upper Grinnell Lake", "Cobbetts Pond", "Titley Pool", "Pyramid Lake", "Ångardsvatnet", "Little Squam Lake", "Green Lake", "Lake Warden", "Kaldvågvatnet", "Gregoire Lake", "Black Butte Lake", "Lake Winder", "Crooked Lake", "Zainsk Reservoir", "Havvatnet", "Lago dei Cavagnöö", "Lac de Naussac", "Umbagog Lake", "Redrock Lake", "Lake Skegemog", "Stolper See", "Håsjøen", "Coyote Lake", "Lovell Lake", "Gjevilvatnet", "Ladybower Reservoir", "Blue Mountain Lake", "Soinsee", "San Luis Reservoir", "Swan Lake", "Little Bonnet Lake", "Meadow Lake", "Lake Oroville", "Loch Muick", "Lake Ūkojas", "Taggart Lake", "Lake Galena", "Elk Ranch Reservoir", "Weißensee (Füssen)", "Province Lake", "Hjertvatnet", "Akaiyan Lake", "Ullswater", "Sattal", "Drawsko Lake", "Sunrise Lake", "Anshupa Lake", "Winagami Lake", "Lake Ptuj", "Highland Lake", "Saint-Léonard underground lake", "Alpine Lake", "Donner Lake", "Lake Semyonovskoye", "Låmivatnet", "Browning Pond", "Lake Dem", "Lai da Marmorera", "Little Cultus Lake", "Yovkovtsi", "Thomsons Lake", "Crawfish Lake", "Moore Reservoir", "Lake Plastiras", "Storskogvatnet", "Pasarel Reservoir", "Medicine Grizzly Lake", "Lake Hayq", "Iešjávri", "Indigo Lake", "Santa Margarita Lake", "Alder Lake", "Rydal Water", "Ossipee Lake", "Ladon Lake", "Ennerdale Water", "Wickwas Lake", "Oldman Lake", "Kepler Lake", "Stump Pond", "Rock Island Lake", "Lake of Gruyère", "Grand lac de Laffrey", "Medvejie Lake", "Lough Gill", "Postsee", "Grand Large", "Great East Lake", "Široka Bara", "Crystal Lake", "Ozeros", "Middle Hanson Lake", "Horseshoe Lake", "Arrowhead Lake", "Imogene Lake", "Wizard Lake", "Silbersee", "Balvatnet", "El Mirage Lake", "Clywedog Reservoir", "Gardsjøen", "Lake Ashenge", "Morskie Oko", "Lake Okataina", "Mud Lake", "Rekvatnet", "Herridge Lake", "Peerless Lake", "Mica Lake", "Lake Yojoa", "Blue Rock Lake", "Pilsensee", "Lake Colden", "Loch Errochty", "Lac des Rousses", "Virginia Lake", "Tåkern", "Forsanvatnet", "Profile Lake", "Loch Linnhe", "Lake Snagov", "Hryhorivsky Estuary", "Sandy Lake", "Everly Lake", "Greifensee", "Crestasee", "Famnvatnet", "Lake Murten", "Jukajärvi", "Tropojë Lake", "Brautsee", "Haleji Lake", "Rock Slide Lake", "Breckenridge Reservoir", "Litlverivatnet", "Crawford Lake", "Cosley Lake", "Burt Lake", "Lake Conway", "Bala Lake", "Łebsko Lake", "Loch Assynt", "Schluchsee", "Lake Chala", "Nahsukin Lake", "Lac de Joux", "Almaden Reservoir", "Lac de Blanchemer", "Lake Logipi", "Wahseeja Lake", "Lower Bead Lake", "Ipasha Lake", "Iskar Reservoir", "Kalvvatnet", "Baron Lake", "Iptojávri", "Logging Lake", "Two Ocean Lake", "Xingyun Lake", "Königssee", "Gaspereau Lake", "Lake Tõhela", "Einfelder See", "Ooty Lake", "The Hole", "Lake Erçek", "Nakamun Lake", "Kingen", "Lake Burtnieks", "Dauniškis", "Clendening Lake", "Lake Ilopango", "Calling Lake", "Eagle Lake", "Olallie Lake", "Rengen", "Brooks Pond", "Arrowhead Pool", "Squam Lake", "Lac Cornu", "Sefrivatnet", "Popovo Lake", "Kintla Lake", "Azure Lake", "Guadalupe Reservoir", "Weare Reservoir", "Lake Omapere", "Naujan Lake", "Alta Lake State Park", "Langvatnet", "Lagoa do Fogo", "Mjåvatnet", "Lac de Mauvoisin", "Higgins Lake", "Dillberry Lake", "Sisovatnet", "Lake Hillcrest", "Falling Leaf Lake", "Jordan Pond", "Kraaker Kiessee", "Angove Lake", "South Manistique Lake", "Loch Ailort", "Lost Creek Lake", "Lake Taminah", "Collins Lake", "Thorndike Pond", "Jessie Lake", "Lily Lake", "Natahki Lake", "Lake Talon", "Lake Pleasant", "Success Pond", "Hemlock Lake", "Kleiner Arbersee", "Naturbadesee Stockelache", "Osterseen", "Litle Sokumvatnet", "Great Pond", "Körbersee", "Island Lake", "Starvation Lake", "Touchwood Lake", "Loch Lomond", "Delsjön", "Byers Lake", "Morii Lake", "Lake of the Seven Winds", "Miche Wabun Lake", "Arlington Mill Reservoir", "Grovatnet", "Grungstadvatnet", "Fälensee", "Mono Lake", "Upper Saranac Lake", "Emma Matilda Lake", "Loch Thom", "Lake Alexandrina", "Medicine Lake Volcano", "Source Lake", "Contoocook Lake", "Bordesholmer See", "Sinanishko Lake", "Lake Vidraru", "Lake Massawippi", "Patience Lake", "Mount Crosby Weir", "Laguna de Gallocanta", "Yellowhead Lake", "Lake Shira", "Lake Genval", "Round Lake", "Big Jažinačko Lake", "Chapo Lake", "Storfrøyningen", "Helen Lake", "Capilano Lake", "Lake Jasper", "Stendorfer See", "Ashuelot Pond", "Zavoj Lake", "Lake Iroquois, Illinois", "Akers Pond", "Lake Josephine", "Lac d'Ilay", "Pawtuckaway Lake", "Cairn Curran Reservoir", "Lower Saranac Lake", "Nedre Veikvatnet", "Net Lake", "Kjerringvatnet", "Cracker Lake", "Durnholzer See", "Store Måsvann", "Loch Oich", "Zarrenthiner Kiessee", "Botsvatn", "Rien", "Long Lake, Boyle", "Laudachsee", "Fossemvatnet", "Lower Cramer Lake", "Lough Carra", "Dublin Pond", "Buffalo Woman Lake", "Livsejávrre", "San Andreas Lake", "Nimpo Lake", "Drevvatnet", "Lac de Tavaneuse", "Splityard Creek Dam", "Vernon Lake", "Moose Lake", "Derwent Reservoir", "Dollar Lake", "Lake Banook", "Lake Untersee", "Jeyranbatan reservoir", "Milk River Ridge Reservoir", "Lake Francis", "Ögii Lake", "Winona Lake", "Lincoln Lake", "Baranof Lake", "Paasselkä", "Mirror Lake", "Camp Lake", "Clifton Court Forebay", "Store Øyingen", "Wachusett Reservoir", "Slide Lake", "Sturgeon Lake", "Snyder Lake", "St Mary's Loch", "Byavatnet", "Elsvatnet", "Laguna Colorada", "Lake Kathryn", "Warbonnet Lake", "Rundvatnet", "Lake Sunapee", "Moose Lake", "Alplersee", "Sebbins Pond", "Lacs de Clairvaux", "Almsee", "Langvatnet", "Hidden Lake", "Åbjørvatnet", "Blue Jay Lake", "Bucura Lake", "Belmeken Dam", "Slide Lake", "Indre Sildvikvatnet", "Jasper Lake", "Alturas Lake", "Aneroid Lake", "Lake Idro", "Waneta Lake", "Lake Ngaroto", "Spring Creek Dam", "Lake Pancharevo", "Ninigret Pond", "Lacs de Maclu", "Rendezvous Lake", "Lake Tōya", "Lake Carmel", "Lake Okabena", "Rappensee", "Leah Lake", "Washington Park Lake", "Amphitheater Lake", "Storvatnet", "Hasse Lake", "Tunnsjøflyan", "Lake Cushman", "Pine River Pond", "Lake Robertville", "Lake Hoare", "Geatnjajávri", "Jenny Lake", "Lac de Longemer", "Lac de Cleuson", "Neltume Lake", "Lake Louise", "Lake Katam", "Grasmere", "Chain Lakes Reservoir", "Lag da Laus", "Island Lake", "Lake Tarawera", "Half Moon Lake", "Sangchris Lake", "Lac de Bise", "Iosegun Lake", "Plummer Lake", "Dodge Reservoir", "Benedict Lake", "Pitamakan Lake", "Lake Biograd", "Newfound Lake", "Öjendorfer See", "Island Pond", "Derwentwater", "Fjellvatnet", "Lake Beseck", "Gagnåsvatnet", "Lake Bohinj", "Delta Lake", "Faulvatnet", "Ajawaan Lake", "Ogosta Reservoir", "Lake Mandrensko", "Leggit Lake", "Warm Springs Reservoir", "Lake Cadagno", "Kawagama Lake", "Lochspouts", "Johnson Lake", "Rosskreppfjorden", "Poia Lake", "Lake Monomonac", "Radonjićko Lake", "Kennedy Lake", "Hector Lake", "Benger Swamp", "Little Spangle Lake", "Green Lake", "Eibsee", "Ba Be Lake", "Hubbles Lake", "North Buck Lake", "Lake Abijatta", "Surry Mountain Lake", "Ingjelsvatnet", "Traunsee", "Djupvatnet", "Upper Kintla Lake", "Lake Barombi Koto", "Goat Haunt Lake", "Wolziger See", "Lac Vieux Desert", "Lake Leonard", "Lake Jivaro", "Lake Alta", "Selker Noor", "Snow Moon Lake", "Mink Lake", "Lac de Moron", "Bartley Reservoir", "Striped Elk Lake", "Crawfish Lake", "Monticello Reservoir", "Lac des Taillères", "Atsina Lake", "Nedre Roasten", "Cirque Lake", "Three Lake", "Alidade Lake", "Somerville Lake", "Lake Tanuki", "Laguna Lake", "Bindersee", "Garner Lake", "Lake Lungern", "Scenic Lake", "Lake Vanda", "Otisco Lake", "Lac de Gravelle", "Blood Indian Creek Reservoir", "Hańcza", "Lake Sarnen", "Sandsjøen", "Nainital Lake", "Tuya Lake", "Skeleton Lake", "Lake Forsyth", "Wienerwaldsee", "Big Yirkie Lake", "Zemra Lake", "Toolibin Lake", "Wilcox Lake", "Eagle Lake", "Lake Toplitz", "Lac d'Apremont", "Lake Bonney", "Pavilion Lake", "Gibson Lake", "Sausvatnet", "Concordiasee", "Olton Reservoir", "Sylvan Lake", "Langvatnet", "Quartz Lake", "Flensjøen", "Imja Tsho", "Heart Lake", "Hostovatnet", "Brazeau Reservoir", "Freshwater Lagoon", "Green Lake", "Loweswater", "Grand Lake St. Marys State Park", "Lake Samish", "West Hawk Lake", "Luktvatnet", "Bonito Lake", "Great Pond", "Amisk Lake", "Lake Malta", "Grace Lake", "Lake Sonoma", "Convict Lake", "Lake Amatitlán", "Lac des Miroirs", "Blue Lake", "Grafham Water", "Small Jažinačko Lake", "Svorksjøen", "Solar Lake", "Lac d'Enghien", "Unkervatnet", "Hastings Lake", "Blåmannsisvatnet", "Lake Holiday", "Müggelsee", "Lake Vissi", "Lac des Settons", "Long Pond", "Trillium Lake", "Zarivar Lake", "Nunavakanuk Lake", "Hartvikvatnet", "Knockewart Loch", "Echo Lake", "Lessard Lake", "Kjæsvannet", "Doiran Lake", "Utikuma Lake", "Bark Lake", "Houghton Lake", "Blue Sea Lake", "Karabash Reservoir", "Réservoir Saint-Michel", "Lac des Cordes", "Lonely Lakes", "Buffalo Lake", "Fallen Leaf Lake", "Borumba Dam", "Lake Oingo", "Lake Rotoiti", "Shawnigan Lake", "Red Deer Lake", "Lake Bernard Frank", "Lake Maardu", "Buttermere", "Lake Ermistu", "Lake Columbia", "Beaver Woman Lake", "Silverwood Lake", "As Pontes Lake", "Loch Faskally", "Lake Alexander", "Bundek", "Bear Lake", "Stordalsvatnet", "Fiskeløysvatnet", "Morris Lake", "Ormsetvatnet", "Narrow Lake", "Lake Linkmenas", "Holderen", "Tittesworth reservoir", "Mire Loch", "Moldevatnet", "Étang de Bois Rouge", "Windebyer Noor", "Arrow Lake", "Lake Istokpoga", "Limmernsee", "Innsvatnet", "Chasewater", "Bonnet Lake", "Krutvatnet", "Lake Doré", "Confusion Lake", "Glennies Creek Dam", "Lake Käsmu", "Dinivodno Lake", "Lake Harriet", "Hallstätter See", "Ratasjärv", "Strindvatnet", "Černé jezero", "Diamond Lake", "Oberlübber Bergsee", "Loch Na Fooey", "Berijam Lake", "Alta Lake", "Daningen", "Ägerisee", "Boobera Lagoon", "Red Lake", "Lake Isabel", "Roberts Lake", "Niedersonthofener See", "Dunalastair Water", "Lake Okareka", "Lac Daumesnil", "Geitvatnet", "Tegernsee", "Lake Dissoni", "Lake Biel", "Spavinaw Water Project", "Three Island Lake", "Meltingvatnet", "Lake Lansing", "Wolf Lake", "Bassenthwaite Lake", "Pfäffikersee", "Western Brook Pond", "Laguna Potrok Aike", "Buiston Loch", "Neuhöfer Karpfenteiche", "Loch Avon", "Cayuta Lake", "Kvitvatnet", "Elter Water", "Lac de Castillon", "Grizzly Bear Lake", "Stormyrbassenget", "Sandnesvatnet", "Trout Lake", "Black Lake", "Lake Tobesofkee", "Sheosar Lake", "Iniakuk Lake", "Rondvatnet", "Griebnitzsee", "Lake Ming", "Deer Lake", "Zemplínska šírava", "Käbelicksee", "Aajuitsup Tasia", "Bothkamper See", "Pressmennan Lake", "Lake Velence", "Lake Streety", "Brule Lake", "Roger Lake", "Lake Hallwil", "Lough Gara", "Lake Gunn", "Vatnvatnet", "Carcajou Lake", "Halfmoon Lake", "Mapanuepe Lake", "Pleasant Lake", "Lac de Conflans", "Powder Mill Pond", "Lake Palmdale", "Lake Nazik", "Lago Santo parmense", "Lucille Lake", "Lac du Val", "String Lake", "Lille Rostavatn", "Muncho Lake", "Teterower See", "Charlie Lake", "Crescent Lake", "Kanithi Balancing Reservoir", "Morning Star Lake", "Langvatnet", "Lünersee", "Lough Key", "Nordre Bjøllåvatnet", "Oswego Lake", "Bradley Lake", "Milton Pond", "Booster Lake", "Lake Seymour", "Conway Lake", "Lake George Scott", "Reinevatn", "Lake Chaubunagungamaug", "Mananchira", "Lai da Palpuogna", "Kleifarvatn", "Schwarzsee", "Straumfjordvatnet", "Glenmore Reservoir", "Funtensee", "Šluŋkkajávri", "Crimson Lake", "Lake Sfânta Ana", "Lake Guthridge", "Netherton Reservoir", "Lake Bled", "Gilten", "Lake Onalaska", "Lake Alabaster", "Lac de Lamoura", "Wazee Lake", "Upper Snyder Lake", "Lake Ingeborg", "Glendoe Hydro Scheme", "Niingsvatnet", "Christine Lake", "Alibey Lagoon", "Stillwater Lake", "Blithfield Reservoir", "Lake Arbi", "Lac de Chambon", "Laitaure", "Cass Lake", "Odell Lake", "Bull Run Lake", "Red Eagle Lake", "Lake Varaždin", "Lake Kyyjärvi", "Kjårdavatnet", "Binnenmüritz", "Lake Dâmbovița", "Barniner See", "Lake Davos", "Forked Lake", "Phewa Lake", "Ptarmigan Lake", "Oberaarsee", "Mellingsvatnet", "Lake Sammamish", "Rainy Lake", "Kielder Water", "Lower Kananaskis Lake", "Sundvatnet", "Søre Vistvatnet", "Lake Nabugabo", "Cobalt Lake", "Comerford Reservoir", "Lake Tota", "Lagoa das Sete Cidades", "Lake Evangeline", "Llyn-y-foel", "Lake Jaala", "Langvatnet", "Muorkkejávrre", "Figure Eight Lake", "Cony Lake", "Vasa Loch", "Little Yirkie Lake", "Rudyard Lake", "Storvatnet", "Loch Laggan", "Wapta Lake", "Black Lake", "Pink Lake", "Gold Creek Dam", "Breznë Lake", "Sacrower See", "Canaan Street Lake", "Lake Ioannina", "Redfish Lake", "Lake Krasnoye", "Weissensee", "Lake Androscoggin", "Ammersee", "Alwen Reservoir", "Funnsjøen", "Loch Ryan", "Loch Lubnaig", "Battle Lake", "Loon Lake", "Rimrock Lake", "Wörthersee", "Oeschinen Lake", "Hornsea Mere", "Lake St. Moritz", "Lake Cheybek-Kohl", "Baltieji Lakajai", "Tioga Lake", "Bleikvatnet", "Lake Wendouree", "Sønningen", "Otter Lake", "Moti Jheel", "Middle Saranac Lake", "Lake Żarnowiec", "Hopkins Pond", "Whitecrow Lake", "Chichester Dam", "Loch Rannoch", "Børsvatnet", "Harlan County Reservoir", "Quake Lake", "Ardeth Lake", "Miles Lake", "Bettenauer Weiher", "Lake Vanamõisa", "Griessee", "Keechelus Lake", "Lac de Bonlieu", "Katoya Lake", "Young Man Lake", "Miedwie", "DeGray Lake", "Upper Baron Lake", "McDonald Lake", "Llyn Peris", "Ømmervatnet", "Singliser See", "Lac Beauvert", "Lena Lake", "Lake Gunung Tujuh", "Lake Macatawa", "Laurel Lake", "Salerno Lake", "Goat Lake", "LaDue Reservoir", "Vierer See", "Wassersportsee Zülpich", "Wallowa Lake", "Grasvatnet", "Ruger Lake", "Lake Lucas", "Rara Lake", "Nedre Fiplingvatnet", "Lake Tikitapu", "Lake Parker", "Dove Lake", "Sanabria Lake", "Jacksons Lake", "Wular Lake", "Iso-Naakkima", "Panguitch Lake", "Lake Awasa", "Klistervatnet", "Alpine Lake", "Mountain Lake", "Lake Doxa", "Slezská Harta Dam", "Herefossfjorden", "Lake Lavassaare", "Caesar Creek Lake", "Lake Cadillac", "Lac du Lauzanier", "Finnvollvatnet", "Wellsee", "Cameron Lake", "Long Lake", "Stowe Pool", "Stolpsee", "Swiftcurrent Lake", "Lake Iamonia", "Monksville Reservoir", "Lake Joe", "Klingnauer Stausee", "Kvesjøen", "French Meadows Reservoir", "Badwater Basin", "Go Home Lake", "Upper Two Medicine Lake", "Spitzingsee", "Havdalsvatnet", "Peninsula Lake", "Dhebar Lake", "Upper Dumbell Lake", "Leigh Lake", "Springfield Lake", "Bearpaw Lake", "Feragen", "Spring Lake", "Lake Bolsena", "Deering Reservoir", "Tarn Hows", "Lake Utopia", "Chadsey Lake", "Erdfallsee", "Blue River Reservoir", "Runaway Pond", "Lake Runanga", "Liepnitzsee", "Storgrønningen", "Lake Vallülasee", "Andkjelvatnet", "Lake Ry de Rome", "Grebe Lake", "Lake Parón", "Mokkavatnet", "Lake Viljandi", "Doggejávri", "Lake Aheru", "Lake Joanna", "Øvrevatnet", "Moore Lake", "Chestermere Lake", "Torgelower See", "Geassájávri", "Lac de Saint-Agnan", "Bear Island", "Lake Siriu", "Garsjøen", "Toxaway Lake", "Głuszyńskie Lake", "Kawaweogama Lake", "Millstätter See", "Six Mile Lake", "Webb Lake", "Vaseux Lake", "Bad Medicine Lake", "Unna Guovdelisjávri", "Diamond Lake", "Lago di Santa Rosalia", "Båvrojávrre", "Fiskelausvatnet", "Swan Lake", "Little Redfish Lake", "Großer Plöner See", "Feisnecksee", "Crystal Lake", "Lake Silvaplana", "Snowbank Lake", "Lough Oughter", "Hopvatnet", "Fjærvatnet", "Solbjørnvatnet", "Livoc Lake", "Gjømmervatnet", "Søre Bukkevatnet", "Lake Casitas", "Fjerdvatnet", "Prankers Pond", "Parr Reservoir", "Herdsman Lake", "Triangle Lake", "Loch Sgadabhagh", "Lake Gleneida", "Lake Lenore", "Honeoye Lake", "Alpsee", "Ulen", "Don Juan Pond", "Lenglingen", "Low Pass Lake", "Murusjøen", "Lake Maninjau", "Obernberger See", "Round Lake National Natural Landmark", "Gem Lake", "Pray Lake", "Storglomvatnet", "Großes Heiliges Meer", "Gramë Lake", "Minnedosa Lake", "Gusvatnet", "Shanti Sagara", "Dorney Lake", "Henrys Lake", "Lake Büyükçekmece", "Gadsar Lake", "Riasten", "Lough Eske", "Uet era Ongael", "Tucker Lake", "Foldsjøen", "Koehn Lake", "Lake Vermilion", "Bow Lake", "McIndoes Reservoir", "Kleiner Bullensee", "Oreamnus Lake", "Alice Lake", "Logjam Lake", "Iro Lake", "Shamkir reservoir", "Samsjøen", "Lake Cootharaba", "Lake Nero", "Hopfensee", "Lake Yurkhyamyayarvi", "Fern Ridge Reservoir", "Sweetwater Reservoir", "Camas Lake", "Lake Altamaha", "Abtsdorfer See", "Lake Gore", "Loch Leven", "Vlasina Lake", "Yellow Belly Lake", "Lake Baldegg", "Lake Wahtopanah", "Lake Rotoehu", "Léré Lake", "Balderhead Reservoir", "Sanford Lake", "Pigeon Lake", "Edith Lake", "Rambergsjøen", "Spray Lakes Reservoir", "Øyvatnet", "Bowman Lake", "Lake Wurdeman", "Batlava Lake", "Bibowee", "Three Bears Lake", "Loch Ossian", "Sandruper See", "Paudash Lake", "Owasco Lake", "Green Lake", "Lake Tarleton", "Mountain Creek Lake", "Lake Bernhardsthal", "Amsoldingersee", "McFaulds Lake", "Lake Napalit", "Crystal Lake", "Lake Shafer", "Baggersee Lutz", "Lago di Viverone", "Prohner Stausee", "Limber Lake", "Lac de Bret", "Lake Rotorua", "Hoklingen", "Lower Pond", "Diamond Valley Lake", "Steele Lake", "Łuknajno Lake", "Loch Ken", "Palitsi Reservoir", "Marshall Lake", "Lochlea, South Ayrshire", "Dumbleyung Lake", "McLeod Lake", "Crystal Lake", "Lake Lucerne", "Crummock Water", "Grand Lake", "Loch Tummel", "Štrbačko Lake", "Straussee", "Head Lake", "Webster Lake", "Jökulsárlón", "Seeburger See", "Orange Lake", "Santiam Lake", "Feather Woman Lake", "Tasersuatsiaq", "Lake Belwood", "Driedmeat Lake", "Beaver Lake", "Lake Sebring", "Lac du Bourdon", "Medicine Owl Lake", "Prestvannet", "Lake Ellen Wilson", "Hundålvatnet", "Mason Lake", "Benna", "Lake Rerewhakaaitu", "Røvatnet", "Loch Lochy", "Markavatnet", "Detroit Lake", "Cow Lake", "Lake Cochituate", "Lake Jackson", "Horndalsvatnet", "Kit Lake", "Smoke Lake", "Mattmarksee", "Papakomeka Lake", "Maltby Lake", "Little Shuswap Lake", "Lossivatnet", "Winnapaug Pond", "Gautelisvatnet", "Étang de l'Or", "Bumping Lake", "Yangzong Lake", "Majavatnet", "Skaha Lake", "Devils Lake", "Kilbirnie Loch", "Little Redfish Lake", "Lac des Toules", "Lindores Loch", "Pancho Lake", "Veliki Galijaš", "Stormålvatnet", "Leksdalsvatnet", "Reesor Lake", "Otatso Lake", "Dal Lake", "Spangle Lake", "Hutt Lagoon", "Ludaš Lake", "Mushroom Lake", "Elk Lake", "Gangabal Lake", "Lake Vermilion", "Sealggajávri", "Moon Lake", "Packrat Lake", "Ystradfellte Reservoir", "Silver Lake", "Browns Lake", "Elektrėnai Reservoir", "Opechee Bay", "Loch Earn", "Heggmovatnet", "Lake Muir", "Windgfällweiher", "Lake Chad", "Lake Karapiro", "Großer Benzer See", "Pulpit Lake", "Francis Lake", "Lac Genin", "Lake Mission Viejo", "Lake Newell", "Lewisville Lake", "Gun Lake", "Billy Jones Lake", "Haweswater Reservoir", "Llyn Alaw", "Sandy Lake", "Lysvatnet", "Pöyrisjärvi", "Lake Frances", "Røyrvatnet", "Bichelsee", "Lake Nisramont", "Echo Lake", "Lake Sherburne", "Lake Neufchâteau", "Phoksundo Lake", "Lake Nemrut", "Lake McDonald", "Lake Bodom", "Legore Lake", "Lake Tegel", "Lake Hüüdre", "Lake Lauricocha", "Pettit Lake", "Lake Massasecum", "Ramshead Lake", "Lac des Dix", "Cedar Lake", "Lake Gileppe", "Muriel Lake", "Waldo Lake", "Guolehis Suolojávri", "Vuolep Sårjåsjávrre", "Grøningen", "Lago di Lei", "Cedar Lake", "Little Red Water Lake", "Lac de Chalain", "Lake Vištytis", "Little Sunapee Lake", "Lake Zug", "Lake Henry", "Harrisville Pond", "Laguna Honda Reservoir", "Lake Eden", "Lake Eildon", "Redhorn Lake", "Twin Lake", "Aitoliko Lagoon", "Bellandur Lake", "Trout Lake", "Lake Verevi", "Lenthalls Dam", "Lake Kavadi", "Bow Lake", "Rore", "Northeast Pond", "Lake Dulverton", "Mjosundvatnet", "Mill Lake", "Tbilisi sea", "Otokomi Lake", "Lake Seydozero", "Rotvatnet", "Lake Meelva", "Pinehurst Lake", "Sue Lake", "Stanley Lake", "Lago di Ceresole", "Lake Rabisha", "Woltersteich", "Ray Lake", "Storvatnet", "St. Mary Reservoir", "Bolagen", "Lac de Paladru", "Loon Lake", "Grinnell Lake", "Prilepnica Lake", "Conesus Lake", "Glacier Lake", "Pallikaranai wetland", "Trapper Lake", "Surprise Lake", "Lake Ülemiste", "Illsee", "Curlew Lake", "Lower Two Medicine Lake", "Eastman Pond", "Medicine Lake", "Lac des Minimes", "Koprinka Reservoir", "Đeravica Lake", "Lake Vida", "Baugevatnet", "Suolojávri", "Lake Danao", "Loch Alsh", "Cliff Lake", "Lake of Banyoles", "Sørungen", "Lake Lapovac", "Fonthill Lake", "Lake Orta", "Little Cedar Lake", "Irrsee", "Braxon Lake", "Little Baron Lake", "Kovvatnet", "Straumsetervatnet", "Sunset Lake", "Lake Bramant", "Lake Dysnai", "Lanser Moor", "Silver Lake", "Haddebyer Noor", "Reinoksvatnet", "Étang Saint-Nicolas", "Point Judith Pond", "Country Pond", "Nissojávri", "Muskegon Lake", "Lac de Sauvabelin", "Bluebox Lake", "Aurice Lake", "Bass Lake", "Trollvatnet", "Lacamas Lake", "Lake Hood", "Manistique Lake", "Ovrejaevrie", "Chilkoot Lake", "Kontrashibuna Lake", "Elgygytgyn Lake", "Jengelvatnet", "Lake Rotoma", "Lac la Nonne", "Svínavatn", "Spofford Lake", "Lake Lida", "Emerald Lake", "Borkener See", "Coolmunda Dam", "Joyuda Lagoon", "Khanbulanchay reservoir", "Lacs d'Étival", "Lac de Malsaucy", "Keezer See", "Elizabeth Lake", "Lake Mahinerangi", "Sukhyi Liman", "Thirlmere", "Lake Zell", "Northwood Lake", "Aurora Reservoir", "Twin Lakes", "John Hendry Park", "Thurstonfield Lough", "Hell Roaring Lake", "Bogstadvannet", "Topolnitsa Reservoir", "Tuxbury Pond", "Priesterbäker See", "Redoubt Lake", "Payne Lake", "Baker Lake", "Warinsee", "Dassower See", "Broad Bay", "Minersville Reservoir", "Fjergen", "Dandy Lake", "Skilvatnet", "Lake Waukewan", "Otsego Lake", "Isle Lake", "Lac St. Cyr", "Cuicocha", "Sufnersee", "Lake Göygöl", "Melkevatnet", "Budd Lake", "Kachess Lake", "Streatfeild Lake", "Otter Creek Reservoir", "Loch Garry", "Lag Prau Pulté", "Latschensee", "Seibert Lake", "Blackstrap Lake", "Balsamand Lake", "Fellvatnet", "Eidsvatnet", "Lake Suttonfield", "White Oak Pond", "Baboosic Lake", "Bâlea Lake", "Shaheeya Lake", "Steinhuder Meer", "Jenness Pond", "Silver Lake", "Namsvatnet", "Kilvatnet", "Dhenve Lake", "Lac La Blanche", "Kow Swamp", "Kokanee Lake", "Lost Lake", "Veresvatnet", "Mirror Lake", "Großer Pönitzer See", "Little Lake Lićenat", "Saint Mary Lake", "Manasbal Lake", "Massabesic Lake", "Lake Tuendae", "No Name Lake", "Sanningasoq", "Ranseren", "Hengsteysee", "Lej da Vadret", "Franklin Falls Pond", "Pontook Reservoir", "First Connecticut Lake", "Uebeschisee", "Lake Eupen", "Storgåsvatnet" ], "function": "<=", "commonness": -13.86741747486953, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.lake", "class": "geography.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "17.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "17.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :geography.lake . \nFILTER (?x1 <= 17.0)\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 143000100, "question": "which lakes have a length of 17.0 km or less?", "answer": [ "Ystradfellte Reservoir", "Øyangsvatnet", "Delsjön", "Bowknot Lake", "Schwarzsee", "Emerald Lake", "Loch Faskally", "Medicine Grizzly Lake", "Terkhiin Tsagaan Lake", "Dublin Pond", "Wienerwaldsee", "Red Lake", "Binnenmüritz", "Stolpsee", "Storgollomsvatnet", "Surprise Lake", "Ray Lake", "Castle Semple Loch", "Spitzingsee", "Lake Burley Griffin", "Iceberg Lake", "Thorndike Pond", "Spavinaw Water Project", "Finnknevatnet", "Lake Robertville", "Lago di Varano", "Pressmennan Lake", "Niedersonthofener See", "Clendening Lake", "Neversink Reservoir", "Bordesholmer See", "Thousand Island Lake", "Snyder Lake", "Dan Hole Pond", "Lake Klooga", "New Hogan Lake", "Middle Quartz Lake", "Kovvatnet", "Xingyun Lake", "Gwiazda Lake", "Plummer Lake", "Kalvvatnet", "Natahki Lake", "June Lake", "Langvatnet", "Spray Lakes Reservoir", "Lake Lucas", "Bassenthwaite Lake", "Quartz Lake", "Alpine Lake", "Shamkir reservoir", "Hoklingen", "Tioga Lake", "Litlverivatnet", "Golyam Beglik", "Feather Woman Lake", "Thomsons Lake", "Crystal Lake", "Lewisville Lake", "Gulbrandsen Lake", "Öjendorfer See", "Arlington Mill Reservoir", "Russell Lake", "Haweswater Reservoir", "Sunrise Lake", "Lake Cadillac", "Prankers Pond", "Ammersee", "Bluebox Lake", "Coniston Water", "Source Lake", "Hiltruper See", "Griebnitzsee", "Loch Lomond", "Loch Laggan", "Reinevatn", "Spofford Lake", "Clifton Court Forebay", "Lake Tõhela", "Lake Belwood", "Three Island Lake", "Lake Büyükçekmece", "St Mary's Loch", "Lake Verevi", "Kingen", "Aitoliko Lagoon", "Pettit Lake", "Lake Sebring", "Straumvatnet", "Breckenridge Reservoir", "Conesus Lake", "Søre Vistvatnet", "McDougall Lake", "Röblinsee", "Meltingvatnet", "Lake Nyos", "Almaden Reservoir", "Šutmansko Lake", "Glennies Creek Dam", "Cuicocha", "Lake Alabaster", "Hartvikvatnet", "Elk Lake", "Alta Lake", "Ardeth Lake", "Point Judith Pond", "Big Bear Lake", "Garner Lake", "Silbersee", "Lake Isabel", "Little Warbonnet Lake", "Lake Szelid", "Cameron Lake", "Trapper Lake", "Lac des Cordes", "Browns Lake", "Leigh Lake", "Burgäschisee", "Tropojë Lake", "Ramshead Lake", "Lake Wahtopanah", "Tyrrell Lake", "Lake Cachí", "Kennedy Lake", "Wapta Lake", "Iešjávri", "Fjerdvatnet", "Profile Lake", "Loch Garry", "Krutvatnet", "Pilsensee", "Lake Muir", "Rimrock Lake", "Great Pond", "Lake Siriu", "Lac la Nonne", "Touchwood Lake", "Olivia Lake", "Wet Lake", "Lake Tanzawa", "Kjæsvannet", "Black Lake", "Umbagog Lake", "Lac de Gérardmer", "Washington Park Lake", "Hidden Lake", "Saint Mary Lake", "Lake Altamaha", "Khanbulanchay reservoir", "Buffalo Lake", "Isle Lake", "Upper Two Medicine Lake", "Medicine Lake", "Puslinch Lake", "Otter Lake", "Restoule Lake", "Blue Rock Lake", "Lac de Conflans", "Travers Reservoir", "Kjårdavatnet", "Lake Logipi", "Stormyrbassenget", "Lake Okareka", "Convict Lake", "Wallowa Lake", "Kleiner Arbersee", "Gunsight Lake", "Lake Okabena", "Paddy's Lake", "Mattmarksee", "Topaz Lake", "Sandruper See", "Lake Gunung Tujuh", "Lake Shira", "Utikuma Lake", "Little Cultus Lake", "Torside Reservoir", "Lake Tanuki", "Chocorua Lake", "Echo Lake", "Elizabeth Lake", "Luktvatnet", "Loch Sgadabhagh", "Navajo Lake", "Famnvatnet", "Grovatnet", "San Luis Reservoir", "Lake Effie", "Norderteich", "Lake St. Moritz", "Léré Lake", "Lake Colden", "Leggit Lake", "Lake Chemong", "Lac d'Antre", "Ooty Lake", "Lake Wurdeman", "Gadsar Lake", "Hücker Moor", "Zub Lake", "Lake Hood", "Lake Annecy", "Finnvollvatnet", "Little Bow Lake Reservoir", "Sebbins Pond", "Edna Lake", "Scenic Lake", "Virmajärvi", "Rogers Lake", "Lake Vissi", "Keechelus Lake", "Lake Mission Viejo", "Lake Żarnowiec", "Sørungen", "Lake Ptuj", "Devils Lake", "Mountain Lake", "Bayles Lake", "Burnas Lagoon", "Lough Carra", "Little Branch Lake", "Veliki Galijaš", "Bumping Lake", "Großer Arbersee", "Badwater Basin", "Heart Lake", "Prilepnica Lake", "String Lake", "Lake Turgoyak", "Bucura Lake", "Tsonevo Reservoir", "Lake Idro", "Paugus Bay", "Highland Lake", "Kow Swamp", "Benedict Lake", "Breznë Lake", "Sisovatnet", "Lake Letas", "Lake Joanna", "Stanley Lake", "Collins Lake", "Legore Lake", "Ovrejaevrie", "Lake Cushman", "Little Red Water Lake", "Pink Lake", "Budd Lake", "Jacksons Lake", "Lake Ilopango", "Roberts Lake", "Rockport Reservoir", "Kjemåvatnet", "Crater Lake", "Mapanuepe Lake", "Phoksundo Lake", "Meadow Lake", "Tranque Puclaro", "Bundek", "Dollar Lake", "Suolojávri", "Berijam Lake", "Gråsjøen", "Lake Lila", "Simskardvatnet", "Jukajärvi", "Kanithi Balancing Reservoir", "Pontook Reservoir", "Jengelvatnet", "Akers Pond", "Lake Albacutya", "Lago di Viverone", "Lake Shannon", "Rydal Water", "Monticello Reservoir", "Lake Jackson", "Étang de l'Or", "Calero Reservoir", "Little Squam Lake", "Stoney Indian Lake", "Gramë Lake", "Northeast Pond", "Avalanche Lake", "Feragen", "Moon Lake", "Trenter See", "Lake Eden", "Elgygytgyn Lake", "Santiam Lake", "Kjelvatnet", "Straumsetervatnet", "Đeravica Lake", "Kepler Lake", "Lake Tuendae", "Vasslivatnet", "Lenthalls Dam", "Lac de Malsaucy", "Lake Göygöl", "Lake Harku", "Long Lake, Boyle", "Lac d'Enghien", "Squam Lake", "Windmaker Lake", "Brautsee", "Nahsukin Lake", "Christine Lake", "Sønningen", "Søre Bukkevatnet", "Grebe Lake", "Regan Lake", "Lake Gore", "Canovasee", "Grand Lake", "Båvrojávrre", "Limmernsee", "Rainy Lake", "Oeschinen Lake", "Lacs de Clairvaux", "Upper Kintla Lake", "Lagoa do Fogo", "Fustvatnet", "Crestasee", "Lake Josephine", "Lake Lapovac", "Cultus Lake", "Storglomvatnet", "Lac Cornu", "Black Lake", "Silver Lake Reservoir", "Lanser Moor", "Lake Snagov", "Bala Lake", "Mushroom Lake", "Swan Lake", "Lake Ellen Wilson", "Seeburger See", "Lake Hoare", "Arrowhead Lake", "Gibson Lake", "Swiftcurrent Lake", "Rore", "Lac de Bret", "Lake Bonney", "Lake Gileppe", "Grand Sable Lake", "Lac de Gravelle", "Hutt Lagoon", "Goat Lake", "Alturas Lake", "Otatso Lake", "Pleasant Lake", "Lake Galena", "Hjertvatnet", "Johnson Lake", "Loon Lake", "Lake Hillcrest", "Rotvatnet", "Prohner Stausee", "Lake Burtnieks", "Lacs de Maclu", "Lake Boyukshor", "Majavatnet", "Lake Sfânta Ana", "Lake Onalaska", "Echo Lake", "Sacrower See", "Laitaure", "Katoya Lake", "Otter Creek Reservoir", "Lake Nordenskjöld", "Alsvågvatnet", "Three Lake", "Loch Lochy", "Wachusett Reservoir", "Lake Amara", "Storskogvatnet", "Lake Poinsett", "Durnholzer See", "Lake Hallwil", "Schoharie Reservoir", "Wellsee", "Baxter Lake", "Counterfeit Lake", "Lysvatnet", "Taferlklaussee", "Feisnecksee", "Sundvatnet", "Patience Lake", "Lake Porkuni", "Vuolep Sårjåsjávrre", "Schwansee", "McDonald Lake", "Lake Kildinskoye", "Great Lake of Buni Jezerce", "Lake Brienz", "Cirque Lake", "Lake Ingeborg", "Kobbvatnet", "Francis Lake", "Steinhuder Meer", "Lake Shafer", "Lac de Paladru", "Lake Ūkojas", "Sefrivatnet", "Lac des Dix", "Lake Burrumbeet", "Ayers Island Reservoir", "Samsjøen", "Mount Crosby Weir", "Balsamand Lake", "Lake of the Woods", "Arstaddalsdammen", "Lake Lungern", "Musreau Lake", "Lake Yosemite", "Fellvatnet", "Lake Quinault", "Ögii Lake", "Otokomi Lake", "Windebyer Noor", "Cuicocha Lake", "Bill Gunn Dam", "Yorkend Lake", "Imja Tsho", "Svorksjøen", "Grafham Water", "Sufnersee", "Northwood Lake", "Iniakuk Lake", "Toxaway Lake", "Loch Ryan", "Contoocook Lake", "Vierer See", "Kielder Water", "Benna", "Loch Earn", "Ulen", "Merrymeeting Lake", "Moti Jheel", "Valnesvatnet", "Rien", "Lac de Pannecière", "Lake Velence", "Great East Lake", "Hengsteysee", "Angove Lake", "Lake Ming", "Thunder Lake", "Muskegon Lake", "Chickadee Lake", "Mason Lake", "Sanford Lake", "Livsejávrre", "Lake Linkmenas", "Baboosic Lake", "Grinnell Lake", "Flensjøen", "Aurora Reservoir", "West Hawk Lake", "Trillium Lake", "Medvejie Lake", "Green Lake", "Engli", "Lincoln Lake", "Cerulean Lake", "Upper Bead Lake", "Lake Lida", "Ranseren", "Little Bonnet Lake", "Eibsee", "Kintla Lake", "Elsvatnet", "Popovo Lake", "Cass Lake", "Lake Cootharaba", "Lac des Brenets", "Stowe Pool", "Fern Ridge Reservoir", "Laguna Brava", "Fiskeløysvatnet", "Lake Carmel", "Rock Lake", "Lake Janet", "Lacs d'Étival", "Storvatnet", "Borumba Dam", "Massabesic Lake", "Chapo Lake", "Hreðavatn", "Blithfield Reservoir", "Skeleton Lake", "Lake Gleneida", "Bâlea Lake", "Capilano Lake", "Keezer See", "Dofinivka Estuary", "Studnica lake", "Lünersee", "Laguna de Gallocanta", "Templiner See", "Phewa Lake", "Cross Lake", "Drevvatnet", "Weissensee", "Blåmannsisvatnet", "Weißensee (Füssen)", "Syndle", "Little Fish Lake", "Crystal Lake", "Havdalsvatnet", "Storgåsvatnet", "Lake Ülemiste", "Großer Plöner See", "Three Bears Lake", "Lake Istokpoga", "Hammervatnet", "Hubbles Lake", "Goose Pond", "Loch Lubnaig", "Fjergen", "Lake Tegel", "Woltersteich", "French Meadows Reservoir", "Falling Leaf Lake", "Sølensjøen", "Marie Lake", "Lake Murati", "Lake Seppings", "Nunavakanuk Lake", "Sinanishko Lake", "Wilcox Lake", "Buiston Loch", "Türlersee", "Bibowee", "Ennerdale Water", "Lake Parker", "Whitecrow Lake", "Ruger Lake", "Lago di Saoseo", "Lago di Santa Rosalia", "Hastings Lake", "Ashuelot Pond", "Bear Island", "Lac d'Apremont", "Forsanvatnet", "Booster Lake", "Eastman Pond", "Mavrovo Lake", "Brazeau Reservoir", "Sanningasoq", "Dassower See", "Mica Lake", "Langvatnet", "Penacook Lake", "Rondvatnet", "White Lake", "Lower Saranac Lake", "Lake Suttonfield", "Grand Lake St. Marys State Park", "Lake Hüüdre", "Loch Tummel", "Iso-Naakkima", "Baron Lake", "Warbonnet Lake", "Vasa Loch", "Prestvannet", "Wickwas Lake", "Lough Owel", "Alice Lake", "Profile Lake", "Lake Toplitz", "Trout Lake", "Goat Haunt Lake", "Laguna Potrok Aike", "Lake of the Crags", "Niingsvatnet", "Red Eagle Lake", "Mammoth Pool Reservoir", "Cairn Curran Reservoir", "Lost Lake", "Perkins Lake", "Baugevatnet", "Cony Lake", "Akaiyan Lake", "Eagle Lake", "Unna Guovdelisjávri", "Loch Alsh", "Moose Lake", "Meiktila Lake", "Lacamas Lake", "Miedwie", "Kawaweogama Lake", "Neltume Lake", "Lake Guatavita", "Province Lake", "Lac de Moron", "Vuontisjärvi", "Holden", "Lower Two Medicine Lake", "Amphitheater Lake", "Zarrenthiner Kiessee", "Lough Ennell", "South Twin Lake", "Lake Conway", "Ogosta Reservoir", "Kawagama Lake", "Miche Wabun Lake", "Lake Henry", "Lake Guthridge", "Grasmere", "Lake Rotorua", "Camp Lake", "Brooks Pond", "St. Mary Reservoir", "Hopfensee", "Canobie Lake", "Lake Seydozero", "Muncho Lake", "Pallikaranai wetland", "Island Pond", "Sandnesvatnet", "Lake Vallülasee", "Tarn Hows", "Upper Baron Lake", "No Name Lake", "Yovkovtsi", "Lake Vagula", "Laurel Lake", "Fjellvatnet", "Six Mile Lake", "Iosegun Lake", "Loch Oich", "Bothkamper See", "Kidston Lake", "Lake Bohinj", "Elbow Lake", "Indigo Lake", "Redrock Lake", "Grünsee (Berchtesgadener Land)", "Lake Nosbonsing", "Geitvatnet", "Lac du Val", "Sue Lake", "Lake Newell", "Odell Lake", "Coal Lake", "Swains Lake", "Leirvatnet", "Lough Gara", "Lake Rotokakahi", "Mire Loch", "Walchensee", "El Mirage Lake", "Gregoire Lake", "Lieps", "Driedmeat Lake", "Skorradalsvatn", "Joyuda Lagoon", "Lake Samish", "Winefred Lake", "Lac Vieux Desert", "Lake Yurkhyamyayarvi", "Lake Seymour", "Kaina Lake", "Lago Cecita", "Fossemvatnet", "Lake Vida", "Lake Ilsanjo", "Lake Sterzh", "Kjerringvatnet", "Cedar Lake", "DeGray Lake", "Lagoa das Sete Cidades", "Nong Han Kumphawapi Lake", "Big Yirkie Lake", "Lake Jaala", "Muriel Lake", "Paasselkä", "Morskie Oko", "Half Moon Lake", "Holly Lake", "Lake Harriet", "Elter Water", "Nedre Fiplingvatnet", "Back Lake", "Laguna Lake", "Blue Marsh Lake", "Waldo Lake", "Lake Neufchâteau", "Lac de Saint-Agnan", "Jackstraw Lake", "Lough Eske", "Forsvatnet", "Yellow Belly Lake", "Eau d'Heure lakes", "Benbrook Lake", "Upper Hanson Lake", "Lugu Lake", "Derwent Reservoir", "Skaha Lake", "Radener See", "Honeoye Lake", "Lena Lake", "Lac Daumesnil", "Lake Vanamõisa", "Ajawaan Lake", "Lost Creek Lake", "First Connecticut Lake", "Lake Fryxell", "Fishercap Lake", "Rock Slide Lake", "Atkinson Dam", "Arrow Lake", "Lake Nazik", "Bonito Lake", "Tasersuatsiaq", "Santa Margarita Lake", "Zainsk Reservoir", "Winnapaug Pond", "Eidevatnet", "Young Man Lake", "Snow Moon Lake", "Lac de Chaumeçon", "Little Sunapee Lake", "Lake Redstone", "Spring Lake", "Upper Saranac Lake", "Little Baron Lake", "McLeod Lake", "Pigeon Lake", "Batlava Lake", "Loch Venachar", "Guadalupe Reservoir", "Arnensee", "Lake Plastiras", "Goat Lake", "Illsee", "Stump Pond", "Lac de Mondély", "Amsoldingersee", "Sausvatnet", "Lake Oroville", "Korssjøen", "Zemplínska šírava", "Markavatnet", "Racetrack Playa", "Głuszyńskie Lake", "Obernberger See", "Lake Orta", "Vaseux Lake", "Hasse Lake", "Middle Hanson Lake", "Doggejávri", "Steele Lake", "Cobalt Lake", "Lake Ngaroto", "Gem Lake", "Baghsar Lake", "Lake Macatawa", "Greifensee", "Big Moose Lake", "Lake Doirani", "Spangle Lake", "Grand Lac Nominingue", "Dhebar Lake", "Lago di Lei", "Słupca Lake", "Lower Pond", "Lake of Banyoles", "Imogene Lake", "Kvesjøen", "Königssee", "Lake Chaubunagungamaug", "Müggelsee", "Owasco Lake", "Lake Palmdale", "Lake Joe", "Halfmoon Lake", "Canaan Street Lake", "Lake Barombi Koto", "Lake Zug", "Big Jažinačko Lake", "Lake Wohlen", "Roger Lake", "Gangabal Lake", "Striped Elk Lake", "Loch Ossian", "Klistervatnet", "Webb Lake", "Palitsi Reservoir", "Bowman Lake", "Byavatnet", "Murusjøen", "Lake Ashenge", "Surprise Lake", "Coyote Lake", "Peerless Lake", "Lac des Miroirs", "Bolagen", "Crystal Lake", "Loch Na Fooey", "Bradley Lake", "Lough Gill", "Lake Columbia", "Koprinka Reservoir", "Llyn Padarn", "Harlan County Reservoir", "Karabash Reservoir", "Lake Rabisha", "Hemlock Lake", "Herefossfjorden", "Lake Monginup", "Karakul", "Silver Lake", "Yellowhead Lake", "Lake Kyyjärvi", "Little Cedar Lake", "Ångardsvatnet", "Kachess Lake", "Fuschlsee", "Sparrow Lake", "Ormsetvatnet", "Blue Sea Lake", "Crystal Lake", "Manchester Bolton & Bury Reservoir", "Frentress Lake", "Stinson Lake", "Oberaarsee", "Harrisville Pond", "Bench Lake", "Warinsee", "Schwielowsee", "Glenmore Reservoir", "Springfield Lake", "Łuknajno Lake", "Mendum's Pond", "Gaspereau Lake", "White Oak Pond", "Étangs de Vaux et de Baye", "Bellamy Reservoir", "Gusvatnet", "Lac de Chambon", "Lough Sheelin", "Pulpit Lake", "Lac du Bourdon", "Pitamakan Lake", "Upper Dumbell Lake", "Øyungen", "Stormålvatnet", "Radonjićko Lake", "Loch Rannoch", "Jasper Lake", "Lake Gunn", "Gardsjøen", "Low Pass Lake", "Minnedosa Lake", "Straussee", "Glacier Lake", "Muorkkejávrre", "Green Lake", "Benger Swamp", "Cosley Lake", "Emma Matilda Lake", "Lake Lysimachia", "Bonnet Lake", "Herridge Lake", "Hundålvatnet", "Lake Bosumtwi", "Kelly Lake", "Lower Kananaskis Lake", "Lochspouts", "Lake Eupen", "Pfäffikersee", "Lake Kizaki", "Hell Roaring Lake", "Oberlübber Bergsee", "Miles Lake", "Nordre Bjøllåvatnet", "Poia Lake", "Lake Davos", "Vidra Lake", "Stortissvatnet", "Mill Lake", "Somerville Lake", "Lake Arbi", "Innsvatnet", "Sylvan Lake", "Alta Lake State Park", "Lake Malta", "Bogstadvannet", "Røvatnet", "Diamond Valley Lake", "Oldman Lake", "Manistique Lake", "Ticha Reservoir", "Crummock Water", "Lovell Lake", "Rara Lake", "Twin Lakes", "Kubija", "Lake of Ledinci", "Marshall Lake", "Island Lake", "Upper Cramer Lake", "Lake Evangeline", "Litle Sokumvatnet", "Elektrėnai Reservoir", "Hidden Lake", "Rengen", "Uet era Ongael", "Barniner See", "Chichester Dam", "Mellingsvatnet", "Lossivatnet", "Milton Pond", "Lake Casitas", "Kilbirnie Loch", "Oreamnus Lake", "Black Vir Lake", "Stolper See", "Gittruper See", "Bow Lake", "Lac de Coiselet", "Kaldvågvatnet", "Lake Plav", "Mink Lake", "Goldberger See", "Wockersee", "Obersee", "Lower Cramer Lake", "Limber Lake", "Quake Lake", "Schluchsee", "Blue Mountain Lake", "Einfelder See", "Lower Hanson Lake", "Buffalo Woman Lake", "Green Lake", "Lake Cadagno", "Gásadatjávri", "Seibert Lake", "Conway Lake", "Tuya Lake", "Weston Reservoir", "Great Dąbrowa", "Fiskelausvatnet", "Lac Sante", "Little Redfish Lake", "Latschensee", "Grand lac de Laffrey", "Moore Reservoir", "Burgsee", "Lac de Pérolles", "Lake Tikub", "Lac des Settons", "Lake Kavadi", "Diamond Lake", "Sandsjøen", "Grasvatnet", "Nedre Roasten", "Alder Lake", "Pawtuckaway Lake", "Miquelon Lake", "Barkauer See", "Elk Ranch Reservoir", "Hohen Sprenzer See", "Lake Amtkel", "Hornsea Mere", "Lake Nemrut", "Bakans", "Little Redfish Lake", "Lake Couchiching", "Alexander Lake", "Lake Doré", "Moose Lake", "Swan Lake", "Lago dei Cavagnöö", "Loch Leven", "Bettenauer Weiher", "Boobera Lagoon", "Langvatnet", "Lac de Naussac", "Sanabria Lake", "Llyn Alaw", "Baltieji Lakajai", "Lake Lucerne", "Großer Pönitzer See", "Braxon Lake", "Lake Virelles", "Unkervatnet", "Straumfjordvatnet", "Leah Lake", "Lucille Lake", "Sunset Lake", "Tegernsee", "Rambergsjøen", "Long Pond", "Los Vaqueros Reservoir", "Lake Tarawera", "Bajit Spielgajávri", "South Manistique Lake", "Klingnauer Stausee", "Lake of Gruyère", "Riasten", "Lake Narach", "Lake Alexander", "Cobbetts Pond", "Island Lake", "Široka Bara", "Moore Lake", "Loch Thom", "Store Øyingen", "Våvatnet", "Loch Ailort", "Maxwell Lake", "Budaki Lagoon", "Trollvatnet", "Little Yirkie Lake", "Weitsee", "Ägerisee", "Jenny Lake", "Crowsnest Lake", "Branch Lake", "Olton Reservoir", "Solbjørnvatnet", "Loch Ken", "Tule Lake", "Azure Lake", "Powwow Pond", "Lake Ermistu", "Strindvatnet", "Higgins Lake", "Jonsvatnet", "Go Home Lake", "Lake Wendouree", "Jellyfish Lake", "Fonthill Lake", "Bellandur Lake", "Lake Sunapee", "Sawtooth Lake", "Funtensee", "New Melones Lake", "Reinoksvatnet", "Schliersee", "Figure Eight Lake", "Halbendorfer See", "Redfish Lake", "Mirror Lake", "Crystal Lake", "Saskatoon Lake", "Malmsjøen", "Lake Meelva", "Toolibin Lake", "Osterseen", "Ewen Maddock Dam", "Sweetwater Reservoir", "Grungstadvatnet", "Sauer Lake", "Lake Beseck", "Galrigs Loch, Ayrshire", "Pine River Pond", "Echo Lake", "Lake Käsmu", "Mokkavatnet", "Lake Bernard Frank", "Sihlsee", "Lake Jivaro", "Olallie Lake", "Kootenai Lakes", "Lake Francis", "Black Butte Lake", "Peninsula Lake", "Lake Waukewan", "Winagami Lake", "Lake Doxa", "Lake Zell", "Lake Five", "Djupvatnet", "Ratasjärv", "Lake Vidraru", "Storvatnet", "Glenns Lake", "Stuorajávri", "Baranof Lake", "Lake Untersee", "Étang de Bois Rouge", "Neuhöfer Karpfenteiche", "Dillberry Lake", "LaDue Reservoir", "Lake Pancharevo", "Andorsjøen", "Thirlmere", "Black Lake", "Alwen Reservoir", "Lake Iroquois, Illinois", "Mascoma Lake", "Bad Medicine Lake", "Haddebyer Noor", "Topolnitsa Reservoir", "Wolziger See", "Laguna Honda Reservoir", "Crawford Lake", "Mirror Lake", "Lake Bolsena", "Netherton Reservoir", "Blue Lake", "Großer Auesee", "Soinsee", "Silver Lake", "Lake Lansing", "Trübtensee", "Leamy Lake", "Lac de Bise", "Bull Run Lake", "Lac de la Plaine", "Gagnåsvatnet", "Brusdalsvatnet", "John Hendry Park", "Zavoj Lake", "Lake Ishiba Ng'andu", "Lake Massasecum", "Lesjaskogsvatnet", "Lake Letta", "Lysvatnet", "Pray Lake", "Krokų Lanka", "Crescent Lake", "Lake Cochituate", "Delta Lake", "Lac de Chalain", "False River", "Dodge Reservoir", "Franklin Pierce Lake", "Battle Lake", "Booragoon Lake", "Lake Lauricocha", "Havvatnet", "Lake Vermilion", "Lake Ry de Rome", "Gåsvatnet", "Lake Monomonac", "Sukhyi Liman", "Johnson Lake", "Saint-Léonard underground lake", "Lake Chala", "Badovac Lake", "Fish Lake", "Balvatnet", "Štrbačko Lake", "Faulvatnet", "Selliner See (Rügen)", "Lake Sammamish", "Logjam Lake", "Horndalsvatnet", "Kontrashibuna Lake", "Lake Maninjau", "Bearpaw Lake", "Lake Tobesofkee", "Lake Veisiejis", "Crawfish Lake", "Cracker Lake", "Großes Heiliges Meer", "Four Mile Lake", "Head Lake", "Høvringsvatnet", "Herdsman Lake", "Nubanusit Lake", "Cow Lake", "Gjevilvatnet", "Store Svenningsvatnet", "Postsee", "Lake Ioannina", "Storgrønningen", "Kostal Lake", "Étang Saint-Nicolas", "Alidade Lake", "Loweswater", "Trout Lake", "Holden", "Lac de Tavaneuse", "Drawsko Lake", "Tbilisi sea", "Fateh Sagar Lake", "Lake Šakarvai", "Kit Lake", "Lake Sarnen", "Loch Linnhe", "Payne Lake", "Ingjelsvatnet", "Lag da Laus", "Byers Lake", "Bark Lake", "Petnja", "Livoc Lake", "Lake Cheybek-Kohl", "Chadsey Lake", "Achensee", "Burt Lake", "Lake Tarleton", "Øyvatnet", "Linlithgow Loch", "Lake Kanasatka", "Kvitvatnet", "Dunalastair Water", "North Buck Lake", "Country Pond", "Stillwater Lake", "Scituate Reservoir", "Priesterbäker See", "Concordiasee", "Andkjelvatnet", "Baggersee Lutz", "Lough Oughter", "Lake Caliraya", "Harrison Lake", "Lac du Lauzanier", "Crimson Lake", "Moonshine Lake", "Sealggajávri", "Don Juan Pond", "Blue Jay Lake", "Ramsgjelvatnet", "Kjelvatnet", "Ipasha Lake", "Madge Lake", "Holderen", "Rosskreppfjorden", "Middle Cramer Lake", "Pavilion Lake", "Silverwood Lake", "Degnepollvatnet", "Loch Lomond", "Gautelisvatnet", "Lake Lavassaare", "Stendorfer See", "Lake Băneasa", "Wassersportsee Zülpich", "Rundvatnet", "Kummerower See", "Lake Rescue", "Lake Chad", "Réservoir Saint-Michel", "Ømmervatnet", "Buck Lake", "Nanthi Lagoon", "Veresvatnet", "Lac de Saint-Point", "Rekvatnet", "Gilten", "Jackfish Lake", "Franklin Falls Pond", "Almåsgrønningen", "Lake Biel", "Icefloe Lake", "Runaway Pond", "Murtnaghurt Lagoon", "Alpine Lake", "Webster Lake", "Lake Streety", "Haleji Lake", "Thurstonfield Lough", "Whitewater Lake", "Lac St. Cyr", "Beauvais Lake", "Jordan Pond", "Paudash Lake", "Lake Dulverton", "Loch Errochty", "Shoe Lake", "McKay Reservoir", "Margaret Lake", "Lake Erçek", "Pancho Lake", "Ptarmigan Lake", "Lake Jasper", "Lake Bled", "Hryhorivsky Estuary", "Upper Grinnell Lake", "Ladon Lake", "Körbersee", "Otisco Lake", "Shannon Pot", "Baker Lake", "Lake Kathryn", "Winona Lake", "Eidsvatnet", "Lake Vyrnwy", "Weare Reservoir", "Ozeros", "Lochlea, South Ayrshire", "Lake Androscoggin", "Lake Dissoni", "Leksdalsvatnet", "Lake Kawaupaka", "Bow Lake", "Blue Lake", "Laksjøen", "Amawalk Reservoir", "Lake Laka", "Grand Pond", "Lake Pichola", "Lake Ponchozero", "Manasbal Lake", "Lake Biograd", "Grizzly Bear Lake", "Edgbaston Reservoir", "Pleasant Lake", "Silver Lake", "Round Lake", "Lake Sils", "Trout Lake", "Lake of the Seven Winds", "Blackstrap Lake", "Lake Forsyth", "Silver Lake", "Traunsee", "Carcajou Lake", "Putzarer See", "Shawnigan Lake", "Lake Warfaaz", "McFaulds Lake", "Fundin", "Parr Reservoir", "Lake Bernhardsthal", "Vlasina Lake", "Chain Lakes Reservoir", "Griessee", "Newfarm Loch", "Middle Saranac Lake", "Charlie Lake", "Großer Benzer See", "Everly Lake", "Lake Warden", "Lake Tengrela", "Lake Ossiach", "Triangle Lake", "Pasarel Reservoir", "Greenough Pond", "Surry Mountain Lake", "Pine Lake", "Packrat Lake", "Mjåvatnet", "Grøningen", "Rendezvous Lake", "Lake Burgas", "Llyn Cefni", "Makkvatnet", "Lac Genin", "Glendoe Hydro Scheme", "Rudyard Lake", "Geassájávri", "Indre Sildvikvatnet", "Jökulsárlón", "Lake Iamonia", "Friedrichsmoorer Karpfenteiche", "Eagle Lake", "Funnsjøen", "Cliff Lake", "Lac de Monteynard-Avignonet", "Hopkins Pond", "Lac de Joux", "Lake Karapiro", "Store Måsvann", "Abtsdorfer See", "Lake Rotoehu", "Liepāja lake", "Arrowhead Pool", "Guolehis Suolojávri", "Lake Frances", "Dobbertiner See", "Lake Aheru", "Tunnsjøflyan", "Langesjøen", "Kleiner Bullensee", "Namsvatnet", "Loch Katrine", "Lac de Sauvabelin", "Šluŋkkajávri", "Ozette Lake", "Avalanche Lake", "Saadjärv", "Minersville Reservoir", "Lake Awasa", "Dauniškis", "Little Shuswap Lake", "Oswego Lake", "Round Lake National Natural Landmark", "Lake Maardu", "Rock Island Lake", "Starvation Lake", "Llyn-y-foel", "Dollar Lake", "Detroit Lake", "Wazee Lake", "Cooking Lake", "Lily Lake", "Lac de Chambly", "Lake Pleasant", "Gleniffer Lake", "Silver Lake", "Success Pond", "Laguna Colorada", "Gun Lake", "Powder Mill Pond", "Cedar Lake", "Warm Springs Reservoir", "Kraaker Kiessee", "Teterower See", "Camas Lake", "Vatnvatnet", "Uebeschisee", "Streatfeild Lake", "Brule Lake", "Hector Lake", "Lake Leonard", "Vernon Lake", "Sildhopvatnet", "Langvatnet", "Redoubt Lake", "Anshupa Lake", "Heron Lake", "Singliser See", "Virginia Lake", "Berovo Lake", "Lake Bütgenbach", "Lac de Cleuson", "Lago di Ceresole", "Lake Silvaplana", "Ghost Lake", "Håsjøen", "Splityard Creek Dam", "Fjærvatnet", "Orange Lake", "Lonely Lakes", "Torgelower See", "Monksville Reservoir", "Lake Viljandi", "Lake Tikitapu", "Wolf Lake", "Daningen", "Salzgittersee", "Dove Lake", "Waneta Lake", "Lai da Nalps", "Jeyranbatan reservoir", "O.C. Fisher Reservoir", "Little Spangle Lake", "Suncook Lakes", "Pats Lake", "Skilvatnet", "Lac de Longemer", "Lake Rotoma", "Ninigret Pond", "Irrsee", "Lake Danao", "Loch Assynt", "Selker Noor", "The Hole", "Iro Lake", "Lej da Vadret", "Storfrøyningen", "Solar Lake", "Lake Kerkini", "Horseshoe Lake", "Köthener See", "Iskar Reservoir", "Crooked Lake", "Mjosundvatnet", "Gjømmervatnet", "Balsam Lake", "Käbelicksee", "Twin Lake", "Viitna Pikkjärv", "Lac Beauvert", "Lac de Bonlieu", "Smoke Lake", "Nedre Veikvatnet", "Lake Lenore", "Feren", "Lago del Sambuco", "Wolf Lake", "Aajuitsup Tasia", "Lac de l'Abbaye", "Lake Mandrensko", "Lake Talon", "Fallen Leaf Lake", "Chestermere Lake", "Elk Lake", "Slide Lake", "Diamond Lake", "Lake Amatitlán", "Lake Utopia", "Balderhead Reservoir", "Lake Winder", "Forrestdale Lake", "Suttle Lake", "Dinivodno Lake", "Llyn Peris", "Lake Nabugabo", "Donner Lake", "Nainital Lake", "Loon Lake", "Lake Banook", "Lake Bramant", "Mountain Creek Lake", "Comerford Reservoir", "Mokowanis Lake", "Lago Santo parmense", "Buttermere", "Lai da Marmorera", "Karwowo Lake", "Lake Krasnoye", "Crawfish Lake", "Newfound Lake", "Forked Lake", "Hussain Sagar", "Beaver Woman Lake", "Lake Rotomahana", "Lower Quartz Lake", "Two Ocean Lake", "Stordalsvatnet", "Windgfällweiher", "Ullswater", "Timpa Lake", "Wörthersee", "Horsetooth Reservoir", "Lake Nero", "Tuxbury Pond", "Ladybower Reservoir", "Lake Kalli", "Juovvajávri", "Tempe Town Lake", "Lake Tota", "Lake Nooney", "Morning Star Lake", "Houghton Lake", "Clywedog Reservoir", "Lake George Scott", "Mono Lake", "McIndoes Reservoir", "Lake Hayq", "Lac de Salanfe", "Zarivar Lake", "Cracker Lake", "Running Crane Lake", "Narrow Lake", "Llyn Celyn", "Lac de Mauvoisin", "Titley Pool", "Shaheeya Lake", "Lenglingen", "Portage Lake", "Lake Sherburne", "Salerno Lake", "Lake Gardno", "Capitol Lake", "Goose Lake", "Moldevatnet", "Lake Eildon", "Skyvatn", "Triangle Lake", "Freshwater Lagoon", "Süseler See", "Gákkajávri", "Laudachsee", "Lake Tōya", "Maltby Lake", "Hostovatnet", "Dorney Lake", "Fälensee", "Lake Dâmbovița", "Panguitch Lake", "Lessard Lake", "Boy Lake", "Lake Varaždin", "Hańcza", "Derwentwater", "Slezská Harta Dam", "Redhorn Lake", "Bartley Reservoir", "Browning Pond", "Lake Vištytis", "Lake Wentworth", "Lake Alta", "Red Deer Lake", "Lag Prau Pulté", "Bleikvatnet", "Schöhsee", "San Andreas Lake", "Bannwaldsee", "Grössinsee", "Champagne Pool", "Yangzong Lake", "Lake Baldegg", "Skeleton Lake", "Semerwater", "Mananchira", "Rogen", "Shanti Sagara", "Snowbank Lake", "Taggart Lake", "Bass Lake", "Lac des Minimes", "Bear Lake", "Lake Yojoa", "Pöyrisjärvi", "Nissojávri", "Nimpo Lake", "Wahseeja Lake", "Turkey Ponds", "Morris Lake", "Clendinning Lake", "Loch Avon", "Iptojávri", "Mørsvikvatnet", "Cedar Lake", "Lake Mahinerangi", "Morii Lake", "Øvrevatnet", "Loon Lake", "Lake Dysnai", "Angus Horne Lake", "Shagany Lagoon", "Canopus Lake", "Mud Lake", "Sandy Lake", "Sattal", "Pyramid Lake", "Clinton Lake", "Milk River Ridge Reservoir", "Skatutakee Lake", "Tåkern", "Naujan Lake", "Sandy Lake", "Dal Lake", "Kleifarvatn", "Belmeken Dam", "Pemigewasset Lake", "Dumbleyung Lake", "Loch A'an", "Nakamun Lake", "Lake Paatari", "Blue River Reservoir", "Hallstätter See", "Svínavatn", "McWillards Lake", "Caesar Creek Lake", "Lake Parón", "Chilkoot Lake", "Great Pond", "Blood Indian Creek Reservoir", "Langvatnet", "Brûlé Lake", "Ethel Lake", "Grace Lake", "Lake Sonoma", "Lac des Taillères", "Liepnitzsee", "Lake Hennessey", "Foldsjøen", "Coolmunda Dam", "Ba Be Lake", "Lac des Toules", "Medicine Owl Lake", "Kilvatnet", "Røyrvatnet", "Dandy Lake", "Jenness Pond", "Inkwilersee", "Mullett Lake", "Wular Lake", "Curlew Lake", "Sturgeon Lake", "Two Medicine Lake", "Sunset Reservoir", "Calling Lake", "Alplersee", "Llyn Brenig", "Beaver Lake", "Slide Lake", "Lake Rerewhakaaitu", "Aneroid Lake", "Grand Lake", "Lac du Vieux Emosson", "Lake Napalit", "Geneva Lake", "Lough Key", "Lake Okataina", "Lake Whatcom", "Gyrfalcon Lake", "Lake Louise", "Lille Rostavatn", "Łebsko Lake", "Lake Murten", "Katchewanooka Lake", "Lower Bead Lake", "Crawling Valley Reservoir", "Soløyvatnet", "Lake Parker", "Lac La Blanche", "Papakomeka Lake", "Belauer See", "Lake Mathews", "Melkevatnet", "Lake Holiday", "Lac de Blanchemer", "Lake Runanga", "Lonesome Lake", "Lake Skegemog", "Cayuta Lake", "Mother Goose Lake", "Foster Reservoir", "Lake Kaindy", "Helen Lake", "Minster Pool", "Lake Omapere", "Geatnjajávri", "Borkener See", "Otsego Lake", "Bichelsee", "Lake Koosa", "Atsina Lake", "Henrys Lake", "Lag Tuleritg", "Nedrevatnet", "Onondaga Lake", "Fourth Connecticut Lake", "Trappers Lake", "Small Jažinačko Lake", "Logging Lake", "Alatsee", "Jessie Lake", "Ossipee Lake", "Khabikki Lake", "Lac des Rousses", "Lac de Saint-Mandé", "Åbjørvatnet", "Hopvatnet", "Naturbadesee Stockelache", "Long Lake", "Wast Water", "Bindersee", "Pinehurst Lake", "Lac de Castillon", "Lake McDonald", "Broad Bay", "Peyto Lake", "Lai da Palpuogna", "Baroon Pocket Dam", "Alpsee", "Doiran Lake", "Wizard Lake", "Grafton Pond", "Amisk Lake", "Almsee", "Lake Oingo", "Lake Mary", "Låmivatnet", "Reesor Lake", "Winnisquam Lake", "Ludaš Lake", "Rotsee", "Millstätter See", "Koehn Lake", "Knockewart Loch", "Woezer See", "Lac Brenet", "Deering Reservoir", "Botsvatn", "Lake Genval", "Upper Snyder Lake", "Lake Vermilion", "Lake Bodom", "Aurice Lake", "Tucker Lake", "Lake Semyonovskoye", "Farley Lake", "Chasewater", "Lake Charles", "Lake Nisramont", "Tittesworth reservoir", "Grand Large", "Cranberry Lake", "Medicine Lake Volcano", "Sheosar Lake", "Opechee Bay", "Kokanee Lake", "Herthasee", "Spring Creek Dam", "Billy Jones Lake", "Confusion Lake", "Edith Lake", "Lake Massawippi", "Hidden Lake", "Lac de Lamoura", "Rachelsee", "Černé jezero", "Lake Katam", "Børsvatnet", "Ullackalie Lagoon", "Alibey Lagoon", "Net Lake", "Lake Vanda", "Gold Creek Dam", "Lindores Loch", "Heggmovatnet", "Sangchris Lake", "Lake Taminah", "Lake Rotoiti", "Lake Ocheda, Minnesota", "As Pontes Lake", "Garsjøen", "Deer Lake", "Rappensee", "Storvatnet", "Dhenve Lake", "Lake Alexandrina", "Cramoner See", "Green Lake", "Silver Lake", "Großer Plessower See", "Weißer See", "Zemra Lake", "Western Brook Pond", "Lake Dem", "Erdfallsee", "Lake Abijatta", "Laguna de Leche", "Little Lake Lićenat", "Lac d'Ilay", "Loch Muick" ], "function": "<=", "commonness": -13.86741747486953, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.lake", "class": "geography.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "17.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "17.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :geography.lake . \nFILTER (?x1 <= 17.0)\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 143000200, "question": "what lakes are no longer than 17.0 kilometers?", "answer": [ "Lake Murati", "McLeod Lake", "Ranseren", "Opechee Bay", "Topolnitsa Reservoir", "Silverwood Lake", "Little Branch Lake", "Lac de Bret", "Lac de Tavaneuse", "Saint Mary Lake", "Moti Jheel", "Garner Lake", "Kvesjøen", "Ardeth Lake", "Battle Lake", "Svínavatn", "Lake Bonney", "Litle Sokumvatnet", "Panguitch Lake", "Lake Tengrela", "Buffalo Woman Lake", "Lake Colden", "Walchensee", "Tioga Lake", "Gulbrandsen Lake", "Cooking Lake", "June Lake", "Medicine Grizzly Lake", "Eibsee", "Lake Okataina", "Kintla Lake", "Våvatnet", "Ingjelsvatnet", "Lake Forsyth", "Lindores Loch", "Loch Sgadabhagh", "Léré Lake", "Lake Käsmu", "Lake Newell", "Diamond Lake", "Lake Shannon", "Lake of the Crags", "Naturbadesee Stockelache", "Lac Cornu", "Litlverivatnet", "Haleji Lake", "Fälensee", "Moon Lake", "Schöhsee", "Lower Two Medicine Lake", "Søre Bukkevatnet", "Trout Lake", "Berovo Lake", "Lake Wohlen", "String Lake", "Miche Wabun Lake", "Lake Virelles", "Lake Karapiro", "Anshupa Lake", "Mother Goose Lake", "Lake Ingeborg", "Wachusett Reservoir", "Lower Saranac Lake", "Lake Chad", "Blackstrap Lake", "Turkey Ponds", "Gardsjøen", "Kjemåvatnet", "Stuorajávri", "New Melones Lake", "Ystradfellte Reservoir", "Loch Earn", "Success Pond", "Lake Frances", "Benna", "Russell Lake", "Lac de Joux", "Łebsko Lake", "Parr Reservoir", "Głuszyńskie Lake", "Sandsjøen", "Broad Bay", "Loch Leven", "Loch Errochty", "Nanthi Lagoon", "Muncho Lake", "Lake Cheybek-Kohl", "Storgollomsvatnet", "Grovatnet", "Lac des Cordes", "Twin Lakes", "Surprise Lake", "Vuolep Sårjåsjávrre", "Rendezvous Lake", "Ludaš Lake", "Lake Tōya", "Stump Pond", "Loch Assynt", "Lake Tanuki", "Gittruper See", "Dodge Reservoir", "Norderteich", "Soløyvatnet", "Lac d'Ilay", "Olivia Lake", "Bogstadvannet", "Goose Pond", "Lake Burgas", "Lochlea, South Ayrshire", "Sanabria Lake", "Bill Gunn Dam", "Lake Hayq", "Lake Bosumtwi", "Lake Krasnoye", "Lac de Chambon", "Golyam Beglik", "Kit Lake", "Lake Mission Viejo", "Lac la Nonne", "Muorkkejávrre", "Karabash Reservoir", "Four Mile Lake", "Maxwell Lake", "Zemra Lake", "Lake Whatcom", "Round Lake National Natural Landmark", "Aajuitsup Tasia", "Doiran Lake", "Cairn Curran Reservoir", "Conesus Lake", "Middle Saranac Lake", "Rappensee", "Hengsteysee", "Sealggajávri", "Olton Reservoir", "Blue Lake", "Bolagen", "Middle Quartz Lake", "Inkwilersee", "Llyn-y-foel", "Spring Lake", "Langvatnet", "Straumsetervatnet", "Ulen", "Crestasee", "Réservoir Saint-Michel", "Racetrack Playa", "Lago del Sambuco", "Semerwater", "Yellowhead Lake", "Pontook Reservoir", "Spray Lakes Reservoir", "Dublin Pond", "Lake Ptuj", "Sunset Reservoir", "John Hendry Park", "Makkvatnet", "Hreðavatn", "Lake Koosa", "Schluchsee", "Loch Lubnaig", "Francis Lake", "Nainital Lake", "Lower Kananaskis Lake", "Børsvatnet", "The Hole", "Lake Sils", "Smoke Lake", "Brule Lake", "Popovo Lake", "Lake Erçek", "Moonshine Lake", "Booragoon Lake", "Lake Nero", "Lake Burrumbeet", "Chichester Dam", "Karwowo Lake", "Vidra Lake", "Lenthalls Dam", "Nubanusit Lake", "Andkjelvatnet", "Lake Conway", "Yorkend Lake", "Green Lake", "Feren", "Storglomvatnet", "Winagami Lake", "Lake Pancharevo", "Lake Maardu", "Dauniškis", "Lake Rescue", "Elsvatnet", "Vuontisjärvi", "Pawtuckaway Lake", "Lough Eske", "Frentress Lake", "Lonely Lakes", "Sue Lake", "Lake Turgoyak", "Badovac Lake", "Lac d'Enghien", "Daningen", "Loch Tummel", "Tyrrell Lake", "Falling Leaf Lake", "Indigo Lake", "Iptojávri", "Kanithi Balancing Reservoir", "Koprinka Reservoir", "Štrbačko Lake", "Ossipee Lake", "Gyrfalcon Lake", "Lake Holiday", "Famnvatnet", "Sheosar Lake", "Northwood Lake", "Loch Venachar", "Hoklingen", "Lake Yojoa", "Blue Jay Lake", "Lough Key", "Sacrower See", "Tåkern", "Buttermere", "Jengelvatnet", "Clifton Court Forebay", "Balderhead Reservoir", "Crimson Lake", "Ptarmigan Lake", "Pancho Lake", "Beaver Lake", "Osterseen", "Radener See", "Nedrevatnet", "Lewisville Lake", "Stowe Pool", "Fonthill Lake", "Lake Monomonac", "Sylvan Lake", "Cass Lake", "Ozeros", "Lake Dem", "First Connecticut Lake", "Lago di Varano", "Coniston Water", "Seibert Lake", "Lac des Toules", "Lough Gill", "Monticello Reservoir", "Tarn Hows", "Byers Lake", "Griebnitzsee", "Slide Lake", "Veliki Galijaš", "Bull Run Lake", "Grafham Water", "Lake Nabugabo", "Lake Bramant", "Fuschlsee", "Point Judith Pond", "Lake Banook", "Loon Lake", "Kilbirnie Loch", "Kleiner Arbersee", "Lake Semyonovskoye", "Tucker Lake", "Luktvatnet", "Lake Laka", "Lake Tarawera", "Storskogvatnet", "Skaha Lake", "Wazee Lake", "Crescent Lake", "Red Deer Lake", "Hasse Lake", "Lake Cadillac", "Finnknevatnet", "Lake Lysimachia", "Lake Dulverton", "Lower Pond", "Khanbulanchay reservoir", "Lac d'Antre", "Lake Okareka", "Stolpsee", "Bartley Reservoir", "Lake Cootharaba", "Pats Lake", "Pettit Lake", "Grasmere", "Squam Lake", "Northeast Pond", "Batlava Lake", "Lake Jaala", "Zarivar Lake", "Lake Mary", "Little Sunapee Lake", "Abtsdorfer See", "Belmeken Dam", "Lake Parón", "Morii Lake", "Marie Lake", "Kaina Lake", "Hutt Lagoon", "Mason Lake", "Borumba Dam", "Three Lake", "Grizzly Bear Lake", "Elter Water", "Spitzingsee", "Étang Saint-Nicolas", "Griessee", "Lac de Chambly", "Glacier Lake", "Lag Tuleritg", "Sandruper See", "Blue Sea Lake", "Young Man Lake", "Pallikaranai wetland", "Leksdalsvatnet", "Müggelsee", "Mud Lake", "Orange Lake", "Gjømmervatnet", "Durnholzer See", "Loch Linnhe", "Sisovatnet", "Long Pond", "Nahsukin Lake", "Hector Lake", "Havdalsvatnet", "Amsoldingersee", "Peerless Lake", "Black Lake", "Étang de Bois Rouge", "Nimpo Lake", "Lake Joe", "Stormyrbassenget", "Kostal Lake", "Lake Lavassaare", "Lysvatnet", "Soinsee", "Lake Plav", "Lake Porkuni", "Mapanuepe Lake", "Åbjørvatnet", "Stendorfer See", "Lake Ponchozero", "Booster Lake", "Lake Vida", "Coyote Lake", "Lily Lake", "Lost Creek Lake", "Little Spangle Lake", "Laguna Potrok Aike", "Lake Nisramont", "Mirror Lake", "Paugus Bay", "Fustvatnet", "Storvatnet", "Phewa Lake", "Woezer See", "Timpa Lake", "Ratasjärv", "Castle Semple Loch", "San Luis Reservoir", "Breckenridge Reservoir", "McDonald Lake", "Lac des Taillères", "Cayuta Lake", "Leigh Lake", "Redfish Lake", "Lake Ülemiste", "Lake Meelva", "Glennies Creek Dam", "Skeleton Lake", "Laguna Honda Reservoir", "Koehn Lake", "Alder Lake", "Millstätter See", "Bonnet Lake", "Ovrejaevrie", "Edith Lake", "Thorndike Pond", "Natahki Lake", "Margaret Lake", "Striped Elk Lake", "Bannwaldsee", "Ticha Reservoir", "Großes Heiliges Meer", "Oreamnus Lake", "Ormsetvatnet", "Lake Baldegg", "Llyn Alaw", "Lake of Banyoles", "Bichelsee", "Rotsee", "Lake Davos", "Donner Lake", "Blue Lake", "Burgsee", "Lake Talon", "Comerford Reservoir", "Small Jažinačko Lake", "Touchwood Lake", "Almaden Reservoir", "Alpine Lake", "Lough Gara", "Lake Bodom", "Lena Lake", "Roberts Lake", "Lake Göygöl", "Lake Seymour", "Lake of the Seven Winds", "Loch Rannoch", "Mavrovo Lake", "Almåsgrønningen", "Uebeschisee", "Hiltruper See", "Stoney Indian Lake", "Baroon Pocket Dam", "Baboosic Lake", "Snowbank Lake", "Balsamand Lake", "Mullett Lake", "Ømmervatnet", "Trout Lake", "Counterfeit Lake", "Aitoliko Lagoon", "Bala Lake", "Lake Plastiras", "Lake Beseck", "Jacksons Lake", "Island Lake", "O.C. Fisher Reservoir", "Weare Reservoir", "Krutvatnet", "Lake Hüüdre", "Hopkins Pond", "Lake Kavadi", "Silver Lake", "Lake Cachí", "Leamy Lake", "Dhenve Lake", "Little Baron Lake", "Figure Eight Lake", "Lake Tõhela", "Calling Lake", "Lugu Lake", "Lago dei Cavagnöö", "Rengen", "Prilepnica Lake", "Wienerwaldsee", "Sattal", "Crystal Lake", "Great Pond", "Lake Żarnowiec", "Little Redfish Lake", "Solbjørnvatnet", "Kokanee Lake", "Lake Sonoma", "Zavoj Lake", "Pray Lake", "Crystal Lake", "Tasersuatsiaq", "Široka Bara", "Braxon Lake", "Gadsar Lake", "Collins Lake", "Winnisquam Lake", "Lake Dâmbovița", "Somerville Lake", "Lac Beauvert", "Slezská Harta Dam", "Großer Plessower See", "Herefossfjorden", "Skilvatnet", "Hell Roaring Lake", "Logging Lake", "Los Vaqueros Reservoir", "Grinnell Lake", "Crater Lake", "Stillwater Lake", "Bear Island", "Oeschinen Lake", "Liepnitzsee", "Loch Faskally", "Rogers Lake", "Geitvatnet", "Lake Skegemog", "Lacs de Clairvaux", "Capilano Lake", "Bluebox Lake", "Medicine Lake", "Phoksundo Lake", "Feragen", "Baranof Lake", "Lake Paatari", "Minster Pool", "Selliner See (Rügen)", "Lac de Chalain", "Great Lake of Buni Jezerce", "Hjertvatnet", "Store Svenningsvatnet", "Ögii Lake", "Mokkavatnet", "Røvatnet", "Atsina Lake", "Angus Horne Lake", "Eau d'Heure lakes", "Netherton Reservoir", "No Name Lake", "Sønningen", "Spring Creek Dam", "Lake Zug", "Seeburger See", "Gråsjøen", "Sefrivatnet", "Ägerisee", "Botsvatn", "Minnedosa Lake", "Deering Reservoir", "Shannon Pot", "Lake Sebring", "Unkervatnet", "Winnapaug Pond", "Lag da Laus", "Iniakuk Lake", "Loch Oich", "Lake Chaubunagungamaug", "Galrigs Loch, Ayrshire", "Musreau Lake", "Imja Tsho", "Lake Lansing", "Santiam Lake", "Lake Tegel", "Gun Lake", "Rambergsjøen", "Forsanvatnet", "Jenness Pond", "Little Squam Lake", "As Pontes Lake", "Swan Lake", "Bowman Lake", "Lake Biel", "Aurice Lake", "Vlasina Lake", "Linlithgow Loch", "Veresvatnet", "Umbagog Lake", "Wet Lake", "Borkener See", "Sandy Lake", "St Mary's Loch", "Tuya Lake", "Lake Amtkel", "Keechelus Lake", "Iešjávri", "Lake Awasa", "Edgbaston Reservoir", "Yovkovtsi", "Kachess Lake", "Loch Ryan", "South Manistique Lake", "Cosley Lake", "Grøningen", "Crystal Lake", "Blue River Reservoir", "Lake Nazik", "Thomsons Lake", "Loch Lomond", "Nedre Roasten", "Otatso Lake", "Lac des Dix", "Springfield Lake", "Wolf Lake", "Trapper Lake", "Bothkamper See", "Guadalupe Reservoir", "Rudyard Lake", "Lake Janet", "Laksjøen", "Lake Kerkini", "Three Bears Lake", "Owasco Lake", "Go Home Lake", "Lake Narach", "Lake Isabel", "Thirlmere", "Lake Leonard", "Lake Nordenskjöld", "Kobbvatnet", "Crystal Lake", "Big Jažinačko Lake", "Derwent Reservoir", "Clywedog Reservoir", "Honeoye Lake", "Cuicocha Lake", "Lac des Settons", "Tegernsee", "Rogen", "Lake Silvaplana", "Bordesholmer See", "Øyvatnet", "Powwow Pond", "Achensee", "Lacamas Lake", "Tunnsjøflyan", "Higgins Lake", "Round Lake", "Cuicocha", "Rimrock Lake", "Lake Kizaki", "Mellingsvatnet", "Chain Lakes Reservoir", "Lake Alexandrina", "Warm Springs Reservoir", "Schoharie Reservoir", "Lake Cushman", "Lake Runanga", "Prankers Pond", "Langesjøen", "Muskegon Lake", "Lake Sfânta Ana", "Calero Reservoir", "Jökulsárlón", "Spangle Lake", "Öjendorfer See", "Perkins Lake", "Arrowhead Pool", "Langvatnet", "Echo Lake", "Avalanche Lake", "Sufnersee", "Webster Lake", "Gásadatjávri", "Fish Lake", "Lake Wentworth", "Lower Hanson Lake", "Bakans", "Baghsar Lake", "Lake Ellen Wilson", "Engli", "Curlew Lake", "Bad Medicine Lake", "Utikuma Lake", "Kidston Lake", "Cramoner See", "Laguna Colorada", "Moore Reservoir", "Bow Lake", "Canopus Lake", "Ångardsvatnet", "Arnensee", "Lake Androscoggin", "Zub Lake", "Lough Owel", "Straumvatnet", "Bench Lake", "Baltieji Lakajai", "Unna Guovdelisjávri", "Milton Pond", "Fjellvatnet", "Driedmeat Lake", "McIndoes Reservoir", "Toolibin Lake", "Ajawaan Lake", "Jeyranbatan reservoir", "Snyder Lake", "Bass Lake", "Kjårdavatnet", "Waneta Lake", "Elgygytgyn Lake", "Lake Massawippi", "Gramë Lake", "Alsvågvatnet", "Guolehis Suolojávri", "Lake Vissi", "Delta Lake", "Röblinsee", "Lake Doxa", "Lake Warfaaz", "Alwen Reservoir", "Funtensee", "Almsee", "Kennedy Lake", "Lake Bernard Frank", "Lake Cadagno", "Étangs de Vaux et de Baye", "Thunder Lake", "Western Brook Pond", "Bark Lake", "Lake Lauricocha", "Little Redfish Lake", "Lake Tarleton", "Mire Loch", "Pöyrisjärvi", "Upper Saranac Lake", "Drawsko Lake", "Llyn Celyn", "Lake Šakarvai", "Leirvatnet", "Concordiasee", "Lac de Paladru", "Sølensjøen", "Lake Jackson", "Dhebar Lake", "Byavatnet", "Regan Lake", "Harrisville Pond", "Lake Ishiba Ng'andu", "McKay Reservoir", "Tuxbury Pond", "Cameron Lake", "Foster Reservoir", "Green Lake", "Pine River Pond", "Cliff Lake", "Surprise Lake", "Christine Lake", "Lake Hoare", "Lake Burtnieks", "Prestvannet", "Manistique Lake", "Splityard Creek Dam", "Baggersee Lutz", "Burt Lake", "Little Red Water Lake", "Grebe Lake", "Logjam Lake", "Jellyfish Lake", "Big Bear Lake", "Lake Winder", "Neuhöfer Karpfenteiche", "Mattmarksee", "Back Lake", "Ninigret Pond", "Llyn Peris", "Grünsee (Berchtesgadener Land)", "Lille Rostavatn", "Lac des Minimes", "Lake Kaindy", "Grand Lake St. Marys State Park", "Barkauer See", "Mørsvikvatnet", "Lake Casitas", "Bayles Lake", "Köthener See", "Obernberger See", "Lake Orta", "Wassersportsee Zülpich", "Lower Quartz Lake", "Lake Bernhardsthal", "Clendinning Lake", "Melkevatnet", "Saint-Léonard underground lake", "Flensjøen", "Mascoma Lake", "Rosskreppfjorden", "Kawagama Lake", "Little Lake Lićenat", "Virginia Lake", "Hubbles Lake", "Ladybower Reservoir", "Charlie Lake", "Mount Crosby Weir", "Cirque Lake", "Otter Lake", "Chilkoot Lake", "Rock Lake", "Loch Lochy", "Wular Lake", "Silver Lake Reservoir", "Lake Verevi", "Black Lake", "Vaseux Lake", "Aurora Reservoir", "Carcajou Lake", "Tempe Town Lake", "Havvatnet", "Miedwie", "Heggmovatnet", "McDougall Lake", "McWillards Lake", "Lac du Vieux Emosson", "Little Cultus Lake", "Jessie Lake", "Lake Siriu", "Nunavakanuk Lake", "Lake Wahtopanah", "Øvrevatnet", "Runaway Pond", "Lake Ilopango", "Cedar Lake", "Lake Palmdale", "Lake Veisiejis", "Lake Parker", "Cobbetts Pond", "Tittesworth reservoir", "Wizard Lake", "Geassájávri", "Weißensee (Füssen)", "Triangle Lake", "Black Vir Lake", "Starvation Lake", "Paudash Lake", "Lake Harku", "Lake Guatavita", "Jackstraw Lake", "Slide Lake", "Clendening Lake", "Lake Boyukshor", "Nissojávri", "Hücker Moor", "Amisk Lake", "Windmaker Lake", "Lake Maninjau", "Lough Carra", "Cranberry Lake", "Lake Ming", "Kilvatnet", "Feisnecksee", "Monksville Reservoir", "Strindvatnet", "Palitsi Reservoir", "Windgfällweiher", "Marshall Lake", "Low Pass Lake", "Kjelvatnet", "Friedrichsmoorer Karpfenteiche", "Klistervatnet", "Zainsk Reservoir", "Loch Ailort", "Gilten", "Šutmansko Lake", "Wapta Lake", "Navajo Lake", "Juovvajávri", "Mountain Lake", "Bellandur Lake", "Saadjärv", "Weitsee", "Lake Alexander", "Lake Columbia", "Hastings Lake", "Canobie Lake", "Black Butte Lake", "Lake Sarnen", "Weißer See", "Atkinson Dam", "Arlington Mill Reservoir", "Browning Pond", "Sørungen", "Lake Tota", "Ladon Lake", "Franklin Falls Pond", "Laitaure", "Lake Rotoehu", "Langvatnet", "Milk River Ridge Reservoir", "Lake Samish", "Restoule Lake", "Sunset Lake", "Lake Bohinj", "Lago di Lei", "Bucura Lake", "Gangabal Lake", "Sinanishko Lake", "Eagle Lake", "Lake Rerewhakaaitu", "Breznë Lake", "Swains Lake", "Khabikki Lake", "Lake Sterzh", "Lake Francis", "Lake Hallwil", "Deer Lake", "Lake Aheru", "Portage Lake", "Loch Avon", "Webb Lake", "Ullackalie Lagoon", "Gjevilvatnet", "Foldsjøen", "Lake of Ledinci", "Saskatoon Lake", "Coolmunda Dam", "Spavinaw Water Project", "Crawford Lake", "Nakamun Lake", "Otter Creek Reservoir", "Lake Mahinerangi", "Ewen Maddock Dam", "Jenny Lake", "Canovasee", "Baron Lake", "West Hawk Lake", "Lake Sherburne", "Blithfield Reservoir", "Niingsvatnet", "Słupca Lake", "Kjelvatnet", "Ramsgjelvatnet", "Woltersteich", "Lake Guthridge", "Lake Belwood", "LaDue Reservoir", "Hammervatnet", "Lake Ioannina", "Alta Lake", "False River", "Goat Haunt Lake", "Nedre Veikvatnet", "Dove Lake", "Gákkajávri", "Chickadee Lake", "Scituate Reservoir", "Forked Lake", "Lake Chala", "Lake Logipi", "Johnson Lake", "Loch Ken", "Lake Macatawa", "Sunrise Lake", "Swan Lake", "Lake Wurdeman", "Yellow Belly Lake", "Two Ocean Lake", "Llyn Brenig", "Lake Vermilion", "Champagne Pool", "Straussee", "Alibey Lagoon", "Lac de Cleuson", "Red Lake", "Island Lake", "Hemlock Lake", "Ogosta Reservoir", "Dan Hole Pond", "Neversink Reservoir", "Suttle Lake", "Dassower See", "Akaiyan Lake", "Grand Sable Lake", "Little Shuswap Lake", "Lac Genin", "Lake Shafer", "Great East Lake", "Diamond Lake", "Blåmannsisvatnet", "Branch Lake", "Redrock Lake", "Laguna Brava", "Holden", "Salerno Lake", "Winona Lake", "Otsego Lake", "Little Warbonnet Lake", "Lake Rotorua", "Kielder Water", "Bonito Lake", "Lac de Malsaucy", "Ooty Lake", "Lake Doirani", "Lac de l'Abbaye", "Rien", "Lago di Ceresole", "Snow Moon Lake", "Øyangsvatnet", "Lake Albacutya", "Lesjaskogsvatnet", "Dinivodno Lake", "Legore Lake", "Fateh Sagar Lake", "Černé jezero", "Kubija", "Garsjøen", "Billy Jones Lake", "Dofinivka Estuary", "Morris Lake", "Merrymeeting Lake", "Laguna Lake", "Blood Indian Creek Reservoir", "Lai da Palpuogna", "Lag Prau Pulté", "Upper Dumbell Lake", "Boy Lake", "Solar Lake", "Chadsey Lake", "Lake Robertville", "Meltingvatnet", "Loon Lake", "Lake Lucerne", "Großer Auesee", "Lake Gore", "Little Fish Lake", "Lac de Pannecière", "Minersville Reservoir", "Schwarzsee", "Funnsjøen", "Llyn Padarn", "Blue Mountain Lake", "Oswego Lake", "Lac de Saint-Mandé", "Virmajärvi", "Loch Lomond", "Goose Lake", "Reesor Lake", "Gautelisvatnet", "Sangchris Lake", "Franklin Pierce Lake", "Ennerdale Water", "Lake Napalit", "Delsjön", "Running Crane Lake", "Trappers Lake", "Laurel Lake", "Lake Massasecum", "Fjerdvatnet", "Loch Alsh", "Cracker Lake", "Käbelicksee", "Alidade Lake", "Fiskeløysvatnet", "Belauer See", "Gibson Lake", "Radonjićko Lake", "Lacs d'Étival", "South Twin Lake", "Lago di Saoseo", "Oberaarsee", "Lake Joanna", "Łuknajno Lake", "Harlan County Reservoir", "Jasper Lake", "Wellsee", "Lake Bled", "Dal Lake", "Vasa Loch", "Kleifarvatn", "Langvatnet", "Høvringsvatnet", "Lonesome Lake", "Lake Alabaster", "Lac de Mondély", "Lieps", "Korssjøen", "Lac de Chaumeçon", "Lake Lila", "Shawnigan Lake", "Ruger Lake", "Fourth Connecticut Lake", "Herridge Lake", "Silver Lake", "Pressmennan Lake", "Henrys Lake", "Lake Galena", "Herthasee", "Lake Eden", "Kelly Lake", "Lake Neufchâteau", "Sanford Lake", "Trenter See", "Lake Sammamish", "Hopvatnet", "Cracker Lake", "Greenough Pond", "Lough Sheelin", "Faulvatnet", "Redoubt Lake", "Tropojë Lake", "Ullswater", "Lake Bütgenbach", "Storfrøyningen", "Amawalk Reservoir", "Kootenai Lakes", "Alexander Lake", "Tranque Puclaro", "Lac de Coiselet", "Stanley Lake", "Lake Rotokakahi", "Skeleton Lake", "Alpine Lake", "Lake Malta", "Bow Lake", "Tule Lake", "Cobalt Lake", "Akers Pond", "Peyto Lake", "Rydal Water", "Bibowee", "Oldman Lake", "Grand Lake", "Alturas Lake", "Lake Vagula", "Grungstadvatnet", "Niedersonthofener See", "Penacook Lake", "Lough Oughter", "Svorksjøen", "Simskardvatnet", "Lake Onalaska", "Everly Lake", "Eastman Pond", "Three Island Lake", "Source Lake", "Black Lake", "Vasslivatnet", "Lake Ry de Rome", "Wast Water", "Fjergen", "Lake Nosbonsing", "Kow Swamp", "Lake of Gruyère", "Skyvatn", "Torgelower See", "Cow Lake", "Goldberger See", "Aneroid Lake", "Morning Star Lake", "Lago Cecita", "Winefred Lake", "Lake Suttonfield", "White Oak Pond", "Lake Evangeline", "Lake Seydozero", "Windebyer Noor", "Fiskelausvatnet", "Lake Untersee", "Lake Letta", "Pitamakan Lake", "Torside Reservoir", "Pemigewasset Lake", "Lac St. Cyr", "Erdfallsee", "Lake Varaždin", "Latschensee", "Great Dąbrowa", "Mjåvatnet", "Grand lac de Laffrey", "Tsonevo Reservoir", "Redhorn Lake", "Lac d'Apremont", "Körbersee", "Elk Lake", "Thurstonfield Lough", "Little Bonnet Lake", "Convict Lake", "Suolojávri", "Lake Kyyjärvi", "Lake McDonald", "Browns Lake", "Loweswater", "Great Pond", "Echo Lake", "Lake St. Moritz", "Lake Quinault", "Angove Lake", "Lake Altamaha", "Bâlea Lake", "Majavatnet", "Burgäschisee", "Patience Lake", "Lake Warden", "Gregoire Lake", "Lake Carmel", "Avalanche Lake", "Budd Lake", "Odell Lake", "Liepāja lake", "Contoocook Lake", "Helen Lake", "Green Lake", "Loch Thom", "Hornsea Mere", "Buiston Loch", "Kjerringvatnet", "Vernon Lake", "Spofford Lake", "Houghton Lake", "Klingnauer Stausee", "Mono Lake", "Crystal Lake", "Sandy Lake", "Lac du Val", "Lake Tuendae", "Namsvatnet", "Detroit Lake", "Upper Bead Lake", "Lake Rabisha", "Lake Viljandi", "Alplersee", "Pink Lake", "Gaspereau Lake", "Payne Lake", "Elk Lake", "Lake Arbi", "Wolf Lake", "Elk Ranch Reservoir", "Lake Büyükçekmece", "Lago di Viverone", "Wolziger See", "Bear Lake", "Ayers Island Reservoir", "Gåsvatnet", "Mushroom Lake", "Eidevatnet", "Arrow Lake", "Brautsee", "Lake Iamonia", "Massabesic Lake", "Taferlklaussee", "Gwiazda Lake", "Derwentwater", "Kleiner Bullensee", "Lake Lucas", "Scenic Lake", "Lake Ngaroto", "Lac des Rousses", "Otokomi Lake", "Skorradalsvatn", "Lac de Sauvabelin", "Lake Nooney", "Bowknot Lake", "Lac Vieux Desert", "Powder Mill Pond", "Lake Wendouree", "Markavatnet", "Pfäffikersee", "Lake Tikitapu", "Templiner See", "Rara Lake", "Silbersee", "Lake Idro", "Kraaker Kiessee", "Middle Hanson Lake", "Leggit Lake", "Lake Gardno", "Fellvatnet", "Alatsee", "Iosegun Lake", "Lake Lapovac", "Paddy's Lake", "Ba Be Lake", "Sausvatnet", "Sparrow Lake", "Geneva Lake", "Whitecrow Lake", "Ghost Lake", "Hidden Lake", "Balvatnet", "Stortissvatnet", "Lake Ossiach", "Lai da Marmorera", "Chestermere Lake", "Lagoa do Fogo", "Lake Kathryn", "Lessard Lake", "Laguna de Leche", "Lough Ennell", "Irrsee", "Olallie Lake", "Drevvatnet", "Little Yirkie Lake", "Lake Monginup", "Lake Danao", "Naujan Lake", "Illsee", "Jonsvatnet", "Arstaddalsdammen", "Big Moose Lake", "Beauvais Lake", "Eagle Lake", "North Buck Lake", "Manasbal Lake", "Brazeau Reservoir", "Amphitheater Lake", "Lake Amatitlán", "Toxaway Lake", "Andorsjøen", "Håsjøen", "Lake Henry", "Lake Yosemite", "Lake Yurkhyamyayarvi", "Ray Lake", "Lac des Miroirs", "Isle Lake", "Vierer See", "Berijam Lake", "Großer Benzer See", "Lake Omapere", "Laguna de Gallocanta", "Lake Linkmenas", "Puslinch Lake", "Lac de Longemer", "Cross Lake", "Grand Lake", "Dollar Lake", "McFaulds Lake", "Manchester Bolton & Bury Reservoir", "Lake Rotomahana", "Sweetwater Reservoir", "Bellamy Reservoir", "Lac du Bourdon", "Steinhuder Meer", "Königssee", "Sildhopvatnet", "Lac de Bise", "Mjosundvatnet", "Horsetooth Reservoir", "Hryhorivsky Estuary", "Capitol Lake", "Lake Dysnai", "Sihlsee", "Store Måsvann", "Lake Sunapee", "Mammoth Pool Reservoir", "Peninsula Lake", "Mirror Lake", "Echo Lake", "Iskar Reservoir", "Lai da Nalps", "Storgåsvatnet", "Iso-Naakkima", "Kvitvatnet", "Wickwas Lake", "Båvrojávrre", "Loch Ossian", "Fern Ridge Reservoir", "Reinoksvatnet", "Wilcox Lake", "Lake Effie", "DeGray Lake", "Freshwater Lagoon", "Dollar Lake", "Highland Lake", "Loch Muick", "Lake Couchiching", "Livoc Lake", "Onondaga Lake", "Newfound Lake", "Conway Lake", "Grafton Pond", "Alta Lake State Park", "Sturgeon Lake", "Étang de l'Or", "Holderen", "Lac de Naussac", "Pasarel Reservoir", "Limber Lake", "Brooks Pond", "Lake Letas", "Schliersee", "New Hogan Lake", "Lake Katam", "Morskie Oko", "Steele Lake", "Lochspouts", "Chocorua Lake", "Triangle Lake", "Lake Rotoma", "Grand Large", "Đeravica Lake", "Røyrvatnet", "Lenglingen", "Lake Hood", "Canaan Street Lake", "Lake Zell", "Lake Kildinskoye", "Låmivatnet", "Lac de Mauvoisin", "Mendum's Pond", "Hidden Lake", "Lake Five", "Putzarer See", "Chasewater", "Lake Utopia", "Upper Hanson Lake", "Lower Bead Lake", "Kontrashibuna Lake", "Petnja", "Heron Lake", "Lago Santo parmense", "Otisco Lake", "Lac de Salanfe", "Santa Margarita Lake", "Studnica lake", "Don Juan Pond", "Einfelder See", "Ipasha Lake", "Keezer See", "Oberlübber Bergsee", "Lake Vallülasee", "Innsvatnet", "Bajit Spielgajávri", "Storgrønningen", "Hallstätter See", "Pleasant Lake", "Burnas Lagoon", "Laudachsee", "Lac de la Plaine", "Lake Poinsett", "Grand Lac Nominingue", "Lake Abijatta", "Profile Lake", "Teterower See", "Mink Lake", "Malmsjøen", "Streatfeild Lake", "Goat Lake", "Sebbins Pond", "Kjæsvannet", "Wallowa Lake", "Upper Grinnell Lake", "Priesterbäker See", "Roger Lake", "Rockport Reservoir", "Red Eagle Lake", "Viitna Pikkjärv", "Dandy Lake", "Geatnjajávri", "Lake Snagov", "Alice Lake", "Lac des Brenets", "Lake Mathews", "Province Lake", "Diamond Valley Lake", "Jackfish Lake", "Upper Baron Lake", "Lost Lake", "Obersee", "Lake Vermilion", "Xingyun Lake", "Glenns Lake", "Sauer Lake", "Kovvatnet", "Cedar Lake", "Shamkir reservoir", "Emerald Lake", "Beaver Woman Lake", "Pavilion Lake", "Crooked Lake", "Lac de Gravelle", "Lake Lida", "Barniner See", "Green Lake", "Moose Lake", "Binnenmüritz", "Bleikvatnet", "Loch Na Fooey", "Forrestdale Lake", "Lake Klooga", "Lake Amara", "Grand Pond", "Lake Muir", "Lünersee", "Rundvatnet", "Lac de Bonlieu", "Fundin", "Lake Ermistu", "Ramshead Lake", "Lake Eildon", "Stordalsvatnet", "Elizabeth Lake", "Bradley Lake", "Swiftcurrent Lake", "Baugevatnet", "Lake Waukewan", "Johnson Lake", "Lake Rotoiti", "Feather Woman Lake", "Lake Parker", "Muriel Lake", "Wockersee", "San Andreas Lake", "Lacs de Maclu", "Trübtensee", "Titley Pool", "Benger Swamp", "Kepler Lake", "Lake Ūkojas", "Reinevatn", "Lake Tobesofkee", "Großer Plöner See", "Fossemvatnet", "Fishercap Lake", "Pigeon Lake", "Little Cedar Lake", "Lake Lenore", "St. Mary Reservoir", "Lake Alta", "Quartz Lake", "Lake Nemrut", "Crawfish Lake", "Camas Lake", "Heart Lake", "Lake Charles", "Lake Kalli", "Herdsman Lake", "Neltume Lake", "Lej da Vadret", "Riasten", "Emma Matilda Lake", "Lake Gleneida", "Lake Seppings", "Suncook Lakes", "Gleniffer Lake", "Balsam Lake", "Quake Lake", "Lake Oroville", "Kaldvågvatnet", "Cultus Lake", "Lago di Santa Rosalia", "Crummock Water", "Stormålvatnet", "Ethel Lake", "Lake Dissoni", "Rainy Lake", "Lake Gileppe", "Lake Fryxell", "Newfarm Loch", "Meadow Lake", "Karakul", "Taggart Lake", "Holly Lake", "Brusdalsvatnet", "Sawtooth Lake", "Rondvatnet", "Lincoln Lake", "Moldevatnet", "Sanningasoq", "Fjærvatnet", "Little Bow Lake Reservoir", "Moore Lake", "Jukajärvi", "Gagnåsvatnet", "Whitewater Lake", "Net Lake", "Warbonnet Lake", "Bundek", "Lake Jasper", "Grasvatnet", "Buffalo Lake", "Lac de Moron", "Doggejávri", "Kalvvatnet", "Lake Istokpoga", "Big Yirkie Lake", "Lac de Saint-Point", "Weston Reservoir", "Meiktila Lake", "Chapo Lake", "Paasselkä", "Mill Lake", "Horndalsvatnet", "Iceberg Lake", "Clinton Lake", "Miles Lake", "Traunsee", "Lake Oingo", "Head Lake", "Long Lake, Boyle", "Bumping Lake", "Upper Cramer Lake", "Lucille Lake", "Mananchira", "Llyn Cefni", "Badwater Basin", "Benedict Lake", "Brûlé Lake", "Rore", "Lake Ilsanjo", "Lake Gunung Tujuh", "Lac de Gérardmer", "Fallen Leaf Lake", "Lake Redstone", "Alpsee", "Nordre Bjøllåvatnet", "Farley Lake", "Profile Lake", "Lac de Lamoura", "Narrow Lake", "Søre Vistvatnet", "Kingen", "Rock Slide Lake", "Papakomeka Lake", "Lake Harriet", "Loch A'an", "Medicine Owl Lake", "Camp Lake", "Lake Tikub", "Lake Chemong", "Lake Lungern", "Blue Rock Lake", "Knockewart Loch", "Bettenauer Weiher", "Topaz Lake", "Lake Josephine", "Katoya Lake", "Lovell Lake", "Jordan Pond", "Loch Laggan", "Lake Hillcrest", "Singliser See", "Elbow Lake", "Lake Gunn", "Storvatnet", "Lossivatnet", "Harrison Lake", "Store Øyingen", "Country Pond", "Haddebyer Noor", "Rock Island Lake", "Pleasant Lake", "Hohen Sprenzer See", "Lake Băneasa", "Salzgittersee", "Hartvikvatnet", "Lake Ocheda, Minnesota", "Moose Lake", "Schwielowsee", "Uet era Ongael", "Lac de Conflans", "Joyuda Lagoon", "Iro Lake", "Rachelsee", "Mountain Creek Lake", "Livsejávrre", "Sundvatnet", "Silver Lake", "Glendoe Hydro Scheme", "Goat Lake", "Blue Marsh Lake", "Šluŋkkajávri", "Lake Doré", "Cerulean Lake", "Pilsensee", "Baxter Lake", "Gem Lake", "Coal Lake", "Syndle", "Island Pond", "Crawling Valley Reservoir", "Boobera Lagoon", "Gunsight Lake", "Shaheeya Lake", "Lake Barombi Koto", "Edna Lake", "Lake Caliraya", "Großer Pönitzer See", "Madge Lake", "Lagoa das Sete Cidades", "Lake Kawaupaka", "Lake Vanda", "Lake Biograd", "Murtnaghurt Lagoon", "Øyungen", "Lake Ashenge", "Lake Eupen", "Lower Cramer Lake", "Lake Genval", "Loch Garry", "Limmernsee", "Waldo Lake", "Vatnvatnet", "Nedre Fiplingvatnet", "Hopfensee", "Hidden Lake", "Crowsnest Lake", "Lac de Monteynard-Avignonet", "Djupvatnet", "Lake Burley Griffin", "Dillberry Lake", "Murusjøen", "Lake Okabena", "Lake Cochituate", "Zarrenthiner Kiessee", "Stolper See", "Half Moon Lake", "Rotvatnet", "Silver Lake", "Six Mile Lake", "Twin Lake", "Upper Snyder Lake", "Haweswater Reservoir", "Großer Arbersee", "Lake George Scott", "Lysvatnet", "Imogene Lake", "Hussain Sagar", "Süseler See", "Lake Hennessey", "Lake Vyrnwy", "Rekvatnet", "Lake Brienz", "Sukhyi Liman", "Lake Annecy", "Lake Nyos", "Weissensee", "Bearpaw Lake", "Thousand Island Lake", "Packrat Lake", "Selker Noor", "Bassenthwaite Lake", "Lake Vištytis", "Schwansee", "Samsjøen", "Straumfjordvatnet", "Lanser Moor", "Greifensee", "Lake Jivaro", "Buck Lake", "Valnesvatnet", "Glenmore Reservoir", "Lake of the Woods", "Azure Lake", "Upper Kintla Lake", "Forsvatnet", "Cedar Lake", "Sandnesvatnet", "Stinson Lake", "Lake Mandrensko", "Hundålvatnet", "Lake Taminah", "Lake Szelid", "Yangzong Lake", "Lake Iroquois, Illinois", "Tbilisi sea", "Lac du Lauzanier", "Middle Cramer Lake", "Lake Pleasant", "Dorney Lake", "Zemplínska šírava", "Wahseeja Lake", "Devils Lake", "Lac La Blanche", "Elektrėnai Reservoir", "Postsee", "Medicine Lake Volcano", "Lac de Castillon", "Türlersee", "Mica Lake", "Ashuelot Pond", "Budaki Lagoon", "Dunalastair Water", "El Mirage Lake", "Cony Lake", "Kawaweogama Lake", "Hostovatnet", "Lake Vanamõisa", "Lac Brenet", "Ozette Lake", "Holden", "Lake Toplitz", "Krokų Lanka", "Grace Lake", "Lac de Blanchemer", "Baker Lake", "Terkhiin Tsagaan Lake", "Trout Lake", "Leah Lake", "Travers Reservoir", "Benbrook Lake", "Wörthersee", "Lake Kanasatka", "Mokowanis Lake", "Warinsee", "Lake Pichola", "Medvejie Lake", "Lac Daumesnil", "Miquelon Lake", "Loch Katrine", "Eidsvatnet", "Gusvatnet", "Lake Murten", "Lac de Pérolles", "Trollvatnet", "Maltby Lake", "Skatutakee Lake", "Prohner Stausee", "Washington Park Lake", "Katchewanooka Lake", "Grössinsee", "Two Medicine Lake", "Hańcza", "Horseshoe Lake", "Gold Creek Dam", "Pinehurst Lake", "Plummer Lake", "Pulpit Lake", "Crawfish Lake", "Kummerower See", "Dumbleyung Lake", "Shanti Sagara", "Arrowhead Lake", "Icefloe Lake", "Pine Lake", "Lac Sante", "Lake Streety", "Finnvollvatnet", "Shagany Lagoon", "Bindersee", "Lake Tanzawa", "Shoe Lake", "Storvatnet", "Pyramid Lake", "Nong Han Kumphawapi Lake", "Long Lake", "Caesar Creek Lake", "Upper Two Medicine Lake", "Confusion Lake", "French Meadows Reservoir", "White Lake", "Lake Louise", "Ammersee", "Dobbertiner See", "Halfmoon Lake", "Loon Lake", "Indre Sildvikvatnet", "Poia Lake", "Lake Shira", "Silver Lake", "Lake Vidraru", "Silver Lake", "Langvatnet", "Halbendorfer See", "Lake Velence", "Lac de Saint-Agnan", "Surry Mountain Lake", "Degnepollvatnet", "Lake Bolsena", "Trillium Lake" ], "function": "<=", "commonness": -13.86741747486953, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.lake", "class": "geography.lake", "friendly_name": "Lake", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "17.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "17.0", "question_node": 0, "function": "<=" } ], "edges": [ { "start": 0, "end": 1, "relation": "geography.lake.length", "friendly_name": "Max. length" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :geography.lake . \nFILTER (?x1 <= 17.0)\n?x0 :geography.lake.length ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 143000300, "question": "find lakes whose length is less than or equal to 17.0 km.", "answer": [ "Wolziger See", "Wahseeja Lake", "Sunset Lake", "Drevvatnet", "Houghton Lake", "Markavatnet", "Angus Horne Lake", "Powder Mill Pond", "Słupca Lake", "Lake Vermilion", "Prestvannet", "Glenns Lake", "Skilvatnet", "Trappers Lake", "Calero Reservoir", "Balvatnet", "Mother Goose Lake", "Warbonnet Lake", "Buck Lake", "Streatfeild Lake", "Horndalsvatnet", "Cayuta Lake", "Ögii Lake", "Lake Velence", "Lake Massawippi", "Tegernsee", "Sauer Lake", "Delta Lake", "Canobie Lake", "Lac d'Apremont", "Navajo Lake", "Rosskreppfjorden", "Lake Bohinj", "Low Pass Lake", "Rock Island Lake", "Bindersee", "Point Judith Pond", "Little Branch Lake", "Lago Santo parmense", "Lake Ry de Rome", "Pemigewasset Lake", "Zemra Lake", "Kawaweogama Lake", "Lake Nosbonsing", "Lake Newell", "Lake Cheybek-Kohl", "Musreau Lake", "Iptojávri", "Saint Mary Lake", "Kovvatnet", "Lake Colden", "Lake Tuendae", "Iosegun Lake", "Lac de Sauvabelin", "Sufnersee", "Benna", "Jacksons Lake", "Back Lake", "Winagami Lake", "Luktvatnet", "Pfäffikersee", "Stolpsee", "Lake Mathews", "Loch Ossian", "Bellamy Reservoir", "Langvatnet", "Dofinivka Estuary", "Lower Bead Lake", "Malmsjøen", "Schöhsee", "Børsvatnet", "Chilkoot Lake", "Lac de Bise", "Three Bears Lake", "Gåsvatnet", "Borkener See", "Lake Wahtopanah", "Great Lake of Buni Jezerce", "Windgfällweiher", "Torside Reservoir", "Thomsons Lake", "Alice Lake", "Avalanche Lake", "Baron Lake", "Rogen", "Norderteich", "Walchensee", "Strindvatnet", "Lake Gore", "Crystal Lake", "Vlasina Lake", "Lough Key", "Koprinka Reservoir", "Zarrenthiner Kiessee", "Baghsar Lake", "Tempe Town Lake", "Mica Lake", "Achensee", "Lake Bled", "Lagoa das Sete Cidades", "Lac de Gravelle", "Wachusett Reservoir", "Lake of Ledinci", "Hubbles Lake", "Lake Lauricocha", "Röblinsee", "Khabikki Lake", "Lake Doxa", "Feren", "First Connecticut Lake", "Juovvajávri", "Lake Logipi", "Sweetwater Reservoir", "Lough Eske", "Lake Belwood", "Selker Noor", "Lake Cushman", "Lac La Blanche", "Pine Lake", "Dhenve Lake", "Grand Lake St. Marys State Park", "Lake Bütgenbach", "Fustvatnet", "Lower Cramer Lake", "Big Jažinačko Lake", "Lake Kawaupaka", "Kobbvatnet", "Hiltruper See", "Klingnauer Stausee", "Warm Springs Reservoir", "Black Butte Lake", "Sanford Lake", "Elk Lake", "Hussain Sagar", "Rudyard Lake", "Ptarmigan Lake", "Lake Nabugabo", "Jökulsárlón", "Doggejávri", "Lake Gunung Tujuh", "Griessee", "Kilvatnet", "Greifensee", "Waldo Lake", "Lake Annecy", "Sylvan Lake", "Little Baron Lake", "Klistervatnet", "Elsvatnet", "Panguitch Lake", "Herdsman Lake", "Vuontisjärvi", "Tranque Puclaro", "Northwood Lake", "June Lake", "Galrigs Loch, Ayrshire", "Steele Lake", "Sunrise Lake", "Eibsee", "Lake Guthridge", "Keechelus Lake", "Laksjøen", "Lough Sheelin", "Bibowee", "Lake Wendouree", "Garsjøen", "Røvatnet", "Mill Lake", "Spitzingsee", "Morris Lake", "Cooking Lake", "Silver Lake", "Rockport Reservoir", "Gem Lake", "Moon Lake", "Alwen Reservoir", "Saadjärv", "Sunset Reservoir", "Bajit Spielgajávri", "Berijam Lake", "Lac de Blanchemer", "Lac Beauvert", "Lake Napalit", "Highland Lake", "Veresvatnet", "Inkwilersee", "Swains Lake", "Upper Baron Lake", "Mellingsvatnet", "Lake Evangeline", "Traunsee", "Doiran Lake", "Kleifarvatn", "Hostovatnet", "Griebnitzsee", "Lac de Saint-Agnan", "Cuicocha Lake", "Red Deer Lake", "Stowe Pool", "Castle Semple Loch", "Bordesholmer See", "Bow Lake", "Black Lake", "Crawford Lake", "Lac de Mondély", "Storskogvatnet", "Ayers Island Reservoir", "Livoc Lake", "Crystal Lake", "Ossipee Lake", "Sparrow Lake", "Studnica lake", "Round Lake", "Lake Porkuni", "False River", "Fateh Sagar Lake", "Joyuda Lagoon", "Monksville Reservoir", "Lac de Pérolles", "Lower Pond", "Timpa Lake", "Lily Lake", "Racetrack Playa", "Müggelsee", "Grand Lake", "McLeod Lake", "Kennedy Lake", "McIndoes Reservoir", "Lenglingen", "Braxon Lake", "Penacook Lake", "Phoksundo Lake", "Sangchris Lake", "Loch Ryan", "Halbendorfer See", "Limmernsee", "Whitewater Lake", "Fish Lake", "Lake Guatavita", "Røyrvatnet", "Gråsjøen", "Baugevatnet", "Neltume Lake", "Leigh Lake", "Lake Paatari", "Weitsee", "Étang Saint-Nicolas", "Lac de Naussac", "Tarn Hows", "Head Lake", "Lake of the Seven Winds", "Lake Varaždin", "Lake Skegemog", "Gagnåsvatnet", "Mire Loch", "Moose Lake", "Lochlea, South Ayrshire", "Lake Tengrela", "DeGray Lake", "Lake Vanamõisa", "Réservoir Saint-Michel", "Saskatoon Lake", "Lake Chemong", "Loch Lomond", "Großer Plessower See", "Lago di Varano", "Crystal Lake", "Schliersee", "Alatsee", "Muncho Lake", "Geatnjajávri", "Imja Tsho", "Zainsk Reservoir", "Winefred Lake", "Meiktila Lake", "Minersville Reservoir", "Quake Lake", "Gilten", "Cobbetts Pond", "Grössinsee", "Goat Haunt Lake", "Beaver Lake", "Gusvatnet", "Alplersee", "Alturas Lake", "Mjåvatnet", "Lac d'Antre", "Loon Lake", "Big Bear Lake", "Lake Macatawa", "Ozeros", "Silver Lake", "Margaret Lake", "O.C. Fisher Reservoir", "Big Moose Lake", "Lake Ülemiste", "Amisk Lake", "Vaseux Lake", "Burnas Lagoon", "Lake Ilsanjo", "Stillwater Lake", "Lake Aheru", "Lake Janet", "Obersee", "Rengen", "Donner Lake", "Confusion Lake", "Touchwood Lake", "Buttermere", "Canopus Lake", "Lake Bernhardsthal", "Kjæsvannet", "Wallowa Lake", "Lacs de Clairvaux", "Muskegon Lake", "Lysvatnet", "Obernberger See", "Lac Vieux Desert", "Lille Rostavatn", "Kubija", "Crawfish Lake", "Bothkamper See", "Green Lake", "Stanley Lake", "Lake Tanzawa", "Lake Rotoehu", "Abtsdorfer See", "Elk Ranch Reservoir", "Jukajärvi", "Yellow Belly Lake", "Lac du Vieux Emosson", "Putzarer See", "Lake Cadagno", "Karakul", "Springfield Lake", "Lake Zug", "As Pontes Lake", "Lake Kaindy", "Lake Carmel", "Anshupa Lake", "Red Lake", "Mørsvikvatnet", "Durnholzer See", "Lake Ishiba Ng'andu", "Four Mile Lake", "Wolf Lake", "Fishercap Lake", "Lake Meelva", "Lac de Longemer", "Øvrevatnet", "Großer Auesee", "Alidade Lake", "Selliner See (Rügen)", "Laguna de Gallocanta", "St. Mary Reservoir", "Collins Lake", "Lake Vallülasee", "San Luis Reservoir", "Lake Tikub", "Cony Lake", "Lac d'Enghien", "Little Fish Lake", "Bonito Lake", "Lac de Mauvoisin", "Lake Rotomahana", "Ennerdale Water", "Fälensee", "Lac des Toules", "Brule Lake", "Lake Băneasa", "Badwater Basin", "Glendoe Hydro Scheme", "Dassower See", "Gyrfalcon Lake", "Dillberry Lake", "Lake Letas", "Trout Lake", "Concordiasee", "Sundvatnet", "Jenny Lake", "Lake Onalaska", "Rachelsee", "Borumba Dam", "Edith Lake", "Ooty Lake", "Harrison Lake", "Lake Eildon", "Lake Chad", "Gittruper See", "Lake Cachí", "Gjevilvatnet", "Trillium Lake", "Moose Lake", "Island Lake", "Cliff Lake", "Lake Koosa", "Driedmeat Lake", "Breznë Lake", "Lake Doré", "Shannon Pot", "Singliser See", "Slide Lake", "Ray Lake", "Lac de Pannecière", "Neuhöfer Karpfenteiche", "Winnapaug Pond", "West Hawk Lake", "Sølensjøen", "Cuicocha", "Funnsjøen", "Dinivodno Lake", "Lai da Nalps", "Booster Lake", "Province Lake", "Sinanishko Lake", "Lake Danao", "Canaan Street Lake", "Binnenmüritz", "Logging Lake", "Stoney Indian Lake", "Lake Charles", "Logjam Lake", "Loch Katrine", "Echo Lake", "Lac de Chaumeçon", "Nimpo Lake", "Tsonevo Reservoir", "Låmivatnet", "Lake Biograd", "Lake Effie", "Weare Reservoir", "Lac du Val", "Rore", "Sandruper See", "Lake Murten", "Lag Tuleritg", "Emma Matilda Lake", "Lac des Brenets", "Lake Käsmu", "Lake Jackson", "Red Eagle Lake", "Black Vir Lake", "Cosley Lake", "Lake Massasecum", "Lake Dâmbovița", "Blue Rock Lake", "Ozette Lake", "Ømmervatnet", "Western Brook Pond", "Grand Large", "Lac la Nonne", "Grøningen", "Byers Lake", "Deering Reservoir", "Kintla Lake", "Lac des Minimes", "Fjerdvatnet", "Königssee", "Lago di Saoseo", "Morskie Oko", "Jessie Lake", "Lake Cochituate", "Storgollomsvatnet", "Medvejie Lake", "Lac des Rousses", "Iešjávri", "Stordalsvatnet", "Greenough Pond", "Hastings Lake", "Mendum's Pond", "Caesar Creek Lake", "Lake Oroville", "Lake Alabaster", "Rock Slide Lake", "Schwansee", "Salzgittersee", "Harlan County Reservoir", "Rotsee", "Jordan Pond", "Atkinson Dam", "Nissojávri", "Nakamun Lake", "Cramoner See", "Mirror Lake", "Reinoksvatnet", "Grebe Lake", "Miedwie", "Slide Lake", "Lake Ming", "Netherton Reservoir", "Lake Maninjau", "Lake Lucas", "Little Bow Lake Reservoir", "Crooked Lake", "Lake Vida", "Lonesome Lake", "Half Moon Lake", "Pinehurst Lake", "Kootenai Lakes", "Lake Iamonia", "Lake Kanasatka", "Camas Lake", "Lake Ngaroto", "Akaiyan Lake", "Lake Gleneida", "Uet era Ongael", "Ogosta Reservoir", "Lake Linkmenas", "Medicine Owl Lake", "Jackfish Lake", "Thurstonfield Lough", "Millstätter See", "Plummer Lake", "Reinevatn", "Deer Lake", "Eastman Pond", "Upper Two Medicine Lake", "Santa Margarita Lake", "Little Squam Lake", "Lake Yosemite", "Moore Lake", "Feisnecksee", "Makkvatnet", "Dobbertiner See", "Llyn Alaw", "Lake Veisiejis", "Payne Lake", "Trout Lake", "Hell Roaring Lake", "Llyn Cefni", "Olallie Lake", "Trout Lake", "Mountain Creek Lake", "Lake Kavadi", "Postsee", "Cobalt Lake", "Holly Lake", "Madge Lake", "Paddy's Lake", "Hoklingen", "Orange Lake", "Lake Wentworth", "Lake Hood", "Snowbank Lake", "Silver Lake", "Trenter See", "Medicine Grizzly Lake", "Lake Hüüdre", "Mammoth Pool Reservoir", "Ladybower Reservoir", "Burt Lake", "Sisovatnet", "Topaz Lake", "Lake Parker", "Lower Quartz Lake", "Lake Vištytis", "Fiskeløysvatnet", "Harrisville Pond", "Yorkend Lake", "Olivia Lake", "Lake Dulverton", "Livsejávrre", "Soløyvatnet", "Lena Lake", "Sausvatnet", "Crimson Lake", "Lake Kerkini", "Kjerringvatnet", "Lake Shira", "Gun Lake", "Lake Genval", "Lake Cadillac", "Ethel Lake", "Svorksjøen", "Weißensee (Füssen)", "Massabesic Lake", "Lake Albacutya", "Léré Lake", "Kit Lake", "Schoharie Reservoir", "Lake Lavassaare", "Grafton Pond", "Lake Doirani", "Kleiner Bullensee", "Moore Reservoir", "Broad Bay", "Lake Parker", "Storgåsvatnet", "Friedrichsmoorer Karpfenteiche", "Oberaarsee", "Steinhuder Meer", "Franklin Falls Pond", "Lacamas Lake", "Merrymeeting Lake", "Holden", "Dorney Lake", "Lanser Moor", "Kjemåvatnet", "Rien", "Surry Mountain Lake", "Bucura Lake", "Pettit Lake", "Regan Lake", "Kepler Lake", "Alexander Lake", "Nedrevatnet", "Portage Lake", "Umbagog Lake", "Little Red Water Lake", "Lake Whatcom", "Spangle Lake", "Diamond Valley Lake", "Jellyfish Lake", "Innsvatnet", "Bull Run Lake", "Lower Kananaskis Lake", "Loch Linnhe", "Lake Hallwil", "Dollar Lake", "Lake Ocheda, Minnesota", "Étang de l'Or", "Litle Sokumvatnet", "Lake Lila", "Fjergen", "Rock Lake", "Grand Lac Nominingue", "Marie Lake", "Country Pond", "Sandnesvatnet", "Havdalsvatnet", "Lough Gill", "Hundålvatnet", "Loch Ken", "Lake Narach", "Ångardsvatnet", "Lac Brenet", "Emerald Lake", "Ludaš Lake", "Monticello Reservoir", "Elk Lake", "Tasersuatsiaq", "Skyvatn", "Gardsjøen", "Sørungen", "Chestermere Lake", "Laguna Lake", "Edgbaston Reservoir", "Sihlsee", "Prohner Stausee", "Meltingvatnet", "Budaki Lagoon", "Little Bonnet Lake", "Puslinch Lake", "Black Lake", "Saint-Léonard underground lake", "Keezer See", "Viitna Pikkjärv", "Counterfeit Lake", "Brusdalsvatnet", "Rogers Lake", "Sildhopvatnet", "Sanningasoq", "Heart Lake", "Isle Lake", "Lake Tanuki", "Phewa Lake", "Capilano Lake", "Two Medicine Lake", "Nubanusit Lake", "Storvatnet", "Ghost Lake", "Lake Dysnai", "Little Redfish Lake", "Melkevatnet", "Wet Lake", "Lac de Castillon", "Lake Eden", "Somerville Lake", "Waneta Lake", "White Oak Pond", "Wassersportsee Zülpich", "Ladon Lake", "Amawalk Reservoir", "Reesor Lake", "Hallstätter See", "Lake George Scott", "Einfelder See", "Hengsteysee", "Berovo Lake", "LaDue Reservoir", "Liepnitzsee", "Torgelower See", "Bassenthwaite Lake", "Bumping Lake", "Fellvatnet", "Alpsee", "Newfound Lake", "Scenic Lake", "Lake Wurdeman", "Surprise Lake", "Lac de Coiselet", "Little Lake Lićenat", "Milk River Ridge Reservoir", "Laguna Honda Reservoir", "Lac de la Plaine", "White Lake", "Weissensee", "Lake Bernard Frank", "Niingsvatnet", "Lai da Marmorera", "Camp Lake", "Mattmarksee", "Guadalupe Reservoir", "Hopfensee", "Fern Ridge Reservoir", "Köthener See", "Fallen Leaf Lake", "Lake Chala", "Lake Silvaplana", "Lake Redstone", "Lake Ellen Wilson", "Pleasant Lake", "Nahsukin Lake", "Lake Frances", "Lake Alexandrina", "Mjosundvatnet", "Naujan Lake", "Široka Bara", "Loch Laggan", "Lake Bodom", "Radener See", "Bolagen", "Hreðavatn", "Peyto Lake", "Lake Streety", "Azure Lake", "Lac de Chambly", "Cedar Lake", "Leamy Lake", "Meadow Lake", "Blue Jay Lake", "Higgins Lake", "Lac de Tavaneuse", "Tåkern", "Schwarzsee", "Bad Medicine Lake", "Washington Park Lake", "Lake Joanna", "Gleniffer Lake", "Loch Assynt", "Lake Sherburne", "Packrat Lake", "Winnisquam Lake", "Loch Oich", "Rara Lake", "Surprise Lake", "Flensjøen", "Lake Gunn", "Dauniškis", "Boobera Lagoon", "Lake Göygöl", "Goldberger See", "Store Måsvann", "New Melones Lake", "Manasbal Lake", "Lake Warfaaz", "Cracker Lake", "Lesjaskogsvatnet", "Glenmore Reservoir", "Lake Seymour", "Famnvatnet", "Drawsko Lake", "Battle Lake", "Pigeon Lake", "Pats Lake", "Balsamand Lake", "Woezer See", "Lysvatnet", "Alsvågvatnet", "Nanthi Lagoon", "Lake Parón", "Balsam Lake", "Buffalo Woman Lake", "Feragen", "Blåmannsisvatnet", "Hutt Lagoon", "Nainital Lake", "Baranof Lake", "Iskar Reservoir", "Pressmennan Lake", "Unkervatnet", "Daningen", "Vierer See", "Langvatnet", "Gautelisvatnet", "Lake Tikitapu", "Utikuma Lake", "Shagany Lagoon", "Bartley Reservoir", "Ullackalie Lagoon", "Lake Zell", "Šluŋkkajávri", "Lake Nero", "Lago dei Cavagnöö", "Muorkkejávrre", "Arnensee", "Lake Seydozero", "Zemplínska šírava", "Ba Be Lake", "Lake Lansing", "Ardeth Lake", "Gásadatjávri", "El Mirage Lake", "Lago del Sambuco", "Hartvikvatnet", "Manchester Bolton & Bury Reservoir", "Großer Plöner See", "Quartz Lake", "Ägerisee", "Stump Pond", "Erdfallsee", "Browning Pond", "Ullswater", "Perkins Lake", "Lake Nazik", "Straumsetervatnet", "Lower Saranac Lake", "Hector Lake", "Foldsjøen", "Langvatnet", "Prilepnica Lake", "Loon Lake", "Øyungen", "Baboosic Lake", "Lake McDonald", "Grungstadvatnet", "Lake Waukewan", "Kalvvatnet", "Cedar Lake", "Windebyer Noor", "Triangle Lake", "Big Yirkie Lake", "Charlie Lake", "Bass Lake", "Lake Istokpoga", "Echo Lake", "Lake Oingo", "Otter Lake", "Medicine Lake", "Icefloe Lake", "Lac de Bonlieu", "The Hole", "Diamond Lake", "Cedar Lake", "Lake Barombi Koto", "Lake Amtkel", "Boy Lake", "Success Pond", "Namsvatnet", "Straumfjordvatnet", "Derwentwater", "Cranberry Lake", "Amphitheater Lake", "Papakomeka Lake", "Gangabal Lake", "McKay Reservoir", "Crowsnest Lake", "Billy Jones Lake", "Opechee Bay", "Byavatnet", "Körbersee", "Otatso Lake", "Swan Lake", "Lake Okareka", "Ipasha Lake", "Little Cedar Lake", "Lake Lucerne", "Elgygytgyn Lake", "Vuolep Sårjåsjávrre", "Lake Runanga", "Lac de Joux", "Lake Omapere", "Lake Arbi", "Lake Monomonac", "Llyn Padarn", "Baker Lake", "Lake Ilopango", "Lake Ingeborg", "Wilcox Lake", "Lost Creek Lake", "Patience Lake", "Iniakuk Lake", "Veliki Galijaš", "Laitaure", "Lake Jasper", "Silverwood Lake", "Zavoj Lake", "Lake Untersee", "Lake Neufchâteau", "Indigo Lake", "Elbow Lake", "Lac Daumesnil", "Hammervatnet", "String Lake", "Kleiner Arbersee", "Winona Lake", "Lake Francis", "Gibson Lake", "Lake Rotoma", "Johnson Lake", "Loch Avon", "Storgrønningen", "Lake Beseck", "Curlew Lake", "Restoule Lake", "Gulbrandsen Lake", "Thunder Lake", "Lake Hennessey", "Lake Siriu", "Middle Cramer Lake", "Hidden Lake", "Lake Jaala", "Great Dąbrowa", "Conway Lake", "Lake Żarnowiec", "Santiam Lake", "Lac de Lamoura", "Otisco Lake", "Blue Mountain Lake", "Lake Harriet", "Pasarel Reservoir", "Long Lake, Boyle", "Arlington Mill Reservoir", "Lake Abijatta", "Otsego Lake", "Lake Brienz", "Lake Shannon", "Łebsko Lake", "Tucker Lake", "Hańcza", "Wörthersee", "Woltersteich", "Lac de Paladru", "Samsjøen", "Burgäschisee", "Loch Venachar", "Cirque Lake", "Elektrėnai Reservoir", "Splityard Creek Dam", "Long Lake", "Lac de Chalain", "Lake Monginup", "Schluchsee", "Johnson Lake", "Skorradalsvatn", "Belmeken Dam", "Eagle Lake", "Silbersee", "Shaheeya Lake", "Lac de Chambon", "Sacrower See", "Lough Carra", "Mink Lake", "Lake Hoare", "Badovac Lake", "Mountain Lake", "Lag da Laus", "Thirlmere", "Oreamnus Lake", "Priesterbäker See", "Sheosar Lake", "Lake Gardno", "Roberts Lake", "Grand Pond", "Grünsee (Berchtesgadener Land)", "Lake Mary", "Lac des Dix", "Middle Hanson Lake", "Lej da Vadret", "Gregoire Lake", "Swan Lake", "Ranseren", "Crawling Valley Reservoir", "Linlithgow Loch", "Karabash Reservoir", "Lake Alta", "Wazee Lake", "Svínavatn", "Kaldvågvatnet", "Lake Hayq", "Lake Ermistu", "Majavatnet", "Loch Tummel", "Karwowo Lake", "Bichelsee", "Bowknot Lake", "Moti Jheel", "Parr Reservoir", "Middle Quartz Lake", "Bâlea Lake", "Sandsjøen", "Havvatnet", "Latschensee", "Store Svenningsvatnet", "Hryhorivsky Estuary", "Budd Lake", "Rydal Water", "Lake Quinault", "Tyrrell Lake", "Lake Boyukshor", "Kostal Lake", "Onondaga Lake", "Étangs de Vaux et de Baye", "Lake Altamaha", "Champagne Pool", "Green Lake", "Lake Utopia", "Almaden Reservoir", "Lake Sunapee", "Aneroid Lake", "Sønningen", "Lake Pichola", "Aajuitsup Tasia", "Mokkavatnet", "Lake Cootharaba", "Kontrashibuna Lake", "Lake Yurkhyamyayarvi", "Knockewart Loch", "Lake Tota", "Glennies Creek Dam", "Lake Casitas", "Haleji Lake", "Gaspereau Lake", "Grinnell Lake", "Lake Maardu", "Iso-Naakkima", "Spofford Lake", "Cairn Curran Reservoir", "Odell Lake", "Nordre Bjøllåvatnet", "Oberlübber Bergsee", "Goat Lake", "Funtensee", "Stinson Lake", "Loch Leven", "Diamond Lake", "Dodge Reservoir", "Cracker Lake", "Striped Elk Lake", "Bearpaw Lake", "Leirvatnet", "Lake Rotokakahi", "Go Home Lake", "Pleasant Lake", "Long Pond", "Lake Lenore", "Lincoln Lake", "Mullett Lake", "Brûlé Lake", "Kaina Lake", "Limber Lake", "Lake Kizaki", "Pine River Pond", "Popovo Lake", "Lough Oughter", "Lake Nemrut", "Bark Lake", "Geitvatnet", "Lake Sonoma", "Blood Indian Creek Reservoir", "Lake Nordenskjöld", "Blue Lake", "Pilsensee", "Lake Nooney", "Lac St. Cyr", "Alder Lake", "Lake Joe", "Triangle Lake", "Paasselkä", "Nong Han Kumphawapi Lake", "Sealggajávri", "Štrbačko Lake", "Loch Faskally", "Falling Leaf Lake", "Clendening Lake", "Lake Kathryn", "Lake Leonard", "Powwow Pond", "Nunavakanuk Lake", "Cameron Lake", "Zarivar Lake", "Dove Lake", "Glacier Lake", "Lake Tobesofkee", "Holderen", "Lake Rescue", "Lonely Lakes", "Topolnitsa Reservoir", "Loch A'an", "Jenness Pond", "Großer Pönitzer See", "Lago di Ceresole", "Murtnaghurt Lagoon", "Niedersonthofener See", "Grasmere", "Lake Sils", "Chapo Lake", "Farley Lake", "Lake Orta", "Beaver Woman Lake", "Loch Alsh", "Lake Davos", "Indre Sildvikvatnet", "Bellandur Lake", "Jengelvatnet", "Lake Taminah", "Lac de Salanfe", "Chichester Dam", "Crawfish Lake", "Rambergsjøen", "Schwielowsee", "Langesjøen", "Wapta Lake", "Mananchira", "Newfarm Loch", "Salerno Lake", "Leggit Lake", "Lac de Conflans", "Kokanee Lake", "Spavinaw Water Project", "Botsvatn", "Twin Lake", "Chickadee Lake", "Black Lake", "Ormsetvatnet", "Engli", "Lake Verevi", "Brooks Pond", "Lake Ioannina", "Bayles Lake", "Beauvais Lake", "Lake Alexander", "Warinsee", "Little Sunapee Lake", "Lake Biel", "Lac de l'Abbaye", "Coal Lake", "Vasslivatnet", "Little Shuswap Lake", "Pray Lake", "Rendezvous Lake", "Lake Šakarvai", "Lake Letta", "Llyn Peris", "Coyote Lake", "Upper Grinnell Lake", "Roger Lake", "Dumbleyung Lake", "Buffalo Lake", "Grand lac de Laffrey", "Crystal Lake", "Buiston Loch", "Scituate Reservoir", "Lake Josephine", "Süseler See", "Helen Lake", "Mavrovo Lake", "Bluebox Lake", "Pyramid Lake", "Lower Hanson Lake", "Miquelon Lake", "Upper Dumbell Lake", "Lake Klooga", "Großer Arbersee", "Owasco Lake", "Lac des Cordes", "Lac de Saint-Mandé", "Lake Plav", "Sturgeon Lake", "Heggmovatnet", "Ruger Lake", "Fjellvatnet", "Clywedog Reservoir", "Lough Owel", "Upper Kintla Lake", "Stormyrbassenget", "Rundvatnet", "Upper Cramer Lake", "Atsina Lake", "Webster Lake", "Đeravica Lake", "Yellowhead Lake", "Vasa Loch", "Katoya Lake", "Hopvatnet", "Lake Shafer", "Grizzly Bear Lake", "St Mary's Loch", "Lake Virelles", "Horseshoe Lake", "Korssjøen", "Lower Two Medicine Lake", "Lake Sarnen", "Bench Lake", "Loch Lochy", "Green Lake", "Hücker Moor", "Alpine Lake", "Lake Winder", "Lake Isabel", "Valnesvatnet", "Andkjelvatnet", "Dal Lake", "Lake Rerewhakaaitu", "Kelly Lake", "Pancho Lake", "Öjendorfer See", "Burgsee", "Kanithi Balancing Reservoir", "Hidden Lake", "Loch Sgadabhagh", "Lake Bosumtwi", "Elter Water", "Forsanvatnet", "Åbjørvatnet", "Little Warbonnet Lake", "Lake Tegel", "Eau d'Heure lakes", "Lake Bramant", "Poia Lake", "Frentress Lake", "Sebbins Pond", "Iceberg Lake", "Minster Pool", "Small Jažinačko Lake", "Ramshead Lake", "Søre Vistvatnet", "Unna Guovdelisjávri", "Lac de Gérardmer", "Nedre Veikvatnet", "Lake Vagula", "Chain Lakes Reservoir", "Alta Lake", "Lake Sfânta Ana", "Herthasee", "Coolmunda Dam", "Rotvatnet", "Crescent Lake", "Snow Moon Lake", "Lucille Lake", "Lake Szelid", "Lake Büyükçekmece", "Titley Pool", "Thousand Island Lake", "Hjertvatnet", "John Hendry Park", "Slezská Harta Dam", "Lac du Lauzanier", "Wickwas Lake", "Eidevatnet", "Lindores Loch", "Øyangsvatnet", "Loch Earn", "Laguna Potrok Aike", "Wast Water", "Bundek", "Mount Crosby Weir", "Blackstrap Lake", "Stormålvatnet", "Bear Lake", "Fiskelausvatnet", "Lake Mahinerangi", "Forsvatnet", "Lake Columbia", "Lieps", "Upper Saranac Lake", "Lake Seppings", "Lake Holiday", "Lewisville Lake", "Arrowhead Pool", "Lake Burtnieks", "Ulen", "Alibey Lagoon", "Fossemvatnet", "Černé jezero", "Herridge Lake", "Alpine Lake", "Osterseen", "Imogene Lake", "Lake Murati", "Foster Reservoir", "Peerless Lake", "Loch Garry", "Herefossfjorden", "Great East Lake", "Akers Pond", "Lake Plastiras", "Lake Kyyjärvi", "Echo Lake", "Lake Wohlen", "Kingen", "Hohen Sprenzer See", "Pulpit Lake", "Šutmansko Lake", "Lake Forsyth", "Lake Semyonovskoye", "Little Redfish Lake", "Oldman Lake", "Lac des Miroirs", "Fourth Connecticut Lake", "Silver Lake", "Litlverivatnet", "Lake Vyrnwy", "Lake Tarleton", "Otter Creek Reservoir", "Goose Pond", "Northeast Pond", "Sawtooth Lake", "Tuya Lake", "Hemlock Lake", "Lake Talon", "Suolojávri", "Laguna de Leche", "Høvringsvatnet", "Oeschinen Lake", "Taggart Lake", "Lake Sammamish", "Kjelvatnet", "Morii Lake", "Toolibin Lake", "Loch Rannoch", "Loch Muick", "Gramë Lake", "Carcajou Lake", "Lake Awasa", "Lake Pleasant", "Mud Lake", "Lake Pancharevo", "Lake Louise", "Peninsula Lake", "Stuorajávri", "Maxwell Lake", "Silver Lake", "Store Øyingen", "Sue Lake", "Profile Lake", "Lake of the Crags", "Trübtensee", "Middle Saranac Lake", "Jackstraw Lake", "Garner Lake", "Laguna Brava", "Weißer See", "Andorsjøen", "Lake Chaubunagungamaug", "Turkey Ponds", "Käbelicksee", "Lake Rotorua", "Benbrook Lake", "Loon Lake", "Redrock Lake", "Lac Cornu", "Lake Vanda", "Dhebar Lake", "Pink Lake", "Kjårdavatnet", "Lake Samish", "Illsee", "Narrow Lake", "Island Lake", "Baggersee Lutz", "Milton Pond", "Hidden Lake", "Lake Five", "Lossivatnet", "Nedre Roasten", "Otokomi Lake", "Blue Sea Lake", "Cass Lake", "Großes Heiliges Meer", "Franklin Pierce Lake", "Calling Lake", "Arrow Lake", "Krokų Lanka", "Solar Lake", "Krutvatnet", "McDougall Lake", "Heron Lake", "Lake Galena", "Lake Jivaro", "Skaha Lake", "Moldevatnet", "Dan Hole Pond", "Bowman Lake", "Shoe Lake", "Vernon Lake", "Kachess Lake", "Sefrivatnet", "Pitamakan Lake", "Baltieji Lakajai", "Kow Swamp", "Lago di Viverone", "Djupvatnet", "Lake Suttonfield", "Lake St. Moritz", "Radonjićko Lake", "Clendinning Lake", "Lago di Lei", "Francis Lake", "Lac de Cleuson", "Xingyun Lake", "Aurora Reservoir", "Riasten", "Loch Ailort", "Sattal", "Laurel Lake", "Storvatnet", "Ewen Maddock Dam", "Spray Lakes Reservoir", "Lake Burgas", "Taferlklaussee", "Kielder Water", "Arstaddalsdammen", "Redhorn Lake", "Travers Reservoir", "Olton Reservoir", "Lake Androscoggin", "Crystal Lake", "Finnknevatnet", "Lac des Settons", "Lake Sebring", "Soinsee", "Gákkajávri", "Ramsgjelvatnet", "Lake Lysimachia", "Lenthalls Dam", "Lake Ossiach", "Dunalastair Water", "Twin Lakes", "Neversink Reservoir", "Snyder Lake", "Loch Lomond", "Brautsee", "Belauer See", "Rondvatnet", "Lough Gara", "Trapper Lake", "Lake Mandrensko", "Fonthill Lake", "Chocorua Lake", "Figure Eight Lake", "Wellsee", "Lacs d'Étival", "Horsetooth Reservoir", "Lake Krasnoye", "Arrowhead Lake", "Almåsgrønningen", "Tbilisi sea", "Lake Okataina", "San Andreas Lake", "Loch Na Fooey", "Langvatnet", "Straussee", "Lovell Lake", "Mushroom Lake", "Elizabeth Lake", "Wockersee", "Balderhead Reservoir", "Coniston Water", "Redoubt Lake", "Dandy Lake", "Lac de Saint-Point", "Benger Swamp", "Tule Lake", "Devils Lake", "Stortissvatnet", "Lake Tōya", "Lake Dem", "Simskardvatnet", "Lake Tõhela", "Breckenridge Reservoir", "Running Crane Lake", "Seibert Lake", "Lake Katam", "Bonnet Lake", "Pawtuckaway Lake", "Rappensee", "Medicine Lake Volcano", "Moonshine Lake", "Lake of the Woods", "Lake Conway", "Lac de Malsaucy", "Halfmoon Lake", "Lake Ūkojas", "Feather Woman Lake", "Lake Poinsett", "Lake Kildinskoye", "Upper Bead Lake", "Båvrojávrre", "Weston Reservoir", "No Name Lake", "Pallikaranai wetland", "Lake Ashenge", "Miche Wabun Lake", "Loch Thom", "Kvesjøen", "Little Spangle Lake", "Lake Baldegg", "Tittesworth reservoir", "South Twin Lake", "Skeleton Lake", "Eagle Lake", "Pöyrisjärvi", "Wolf Lake", "Lake Tarawera", "Oswego Lake", "South Manistique Lake", "Great Pond", "Lake Robertville", "Derwent Reservoir", "Chasewater", "Convict Lake", "Net Lake", "Mason Lake", "Lake Henry", "Głuszyńskie Lake", "Upper Hanson Lake", "Lake Lungern", "Lake Toplitz", "Lago Cecita", "Lake Idro", "Conesus Lake", "Barkauer See", "Tunnsjøflyan", "Laudachsee", "Shanti Sagara", "Lake Bonney", "Browns Lake", "Delsjön", "Kummerower See", "Lai da Palpuogna", "Mirror Lake", "Benedict Lake", "Grand Sable Lake", "Türlersee", "Lac des Taillères", "Bannwaldsee", "Spring Creek Dam", "Degnepollvatnet", "Holden", "Kawagama Lake", "Lac Sante", "Leah Lake", "Lake Couchiching", "Storfrøyningen", "Angove Lake", "Clifton Court Forebay", "Swiftcurrent Lake", "Lake Lapovac", "Blue Lake", "Pontook Reservoir", "Upper Snyder Lake", "Smoke Lake", "Goose Lake", "Lake Bolsena", "Don Juan Pond", "Profile Lake", "Grand Lake", "Straumvatnet", "Lake Burley Griffin", "Liepāja lake", "Jeyranbatan reservoir", "Ovrejaevrie", "Grasvatnet", "Haddebyer Noor", "Lake Rabisha", "McFaulds Lake", "Lac de Bret", "Ystradfellte Reservoir", "Lake Caliraya", "Großer Benzer See", "Lake Kalli", "Vatnvatnet", "Lac de Monteynard-Avignonet", "Lake Harku", "Lake Hillcrest", "Baroon Pocket Dam", "Lac Genin", "Marshall Lake", "Lake Snagov", "Ajawaan Lake", "Zub Lake", "Squam Lake", "Source Lake", "Prankers Pond", "Lake Viljandi", "Manistique Lake", "Lacs de Maclu", "Silver Lake Reservoir", "Wizard Lake", "Whitecrow Lake", "Almsee", "Syndle", "Storvatnet", "Young Man Lake", "Eidsvatnet", "Lake Lida", "Khanbulanchay reservoir", "Geneva Lake", "Iro Lake", "Finnvollvatnet", "Six Mile Lake", "Detroit Lake", "Wienerwaldsee", "New Hogan Lake", "Three Island Lake", "Gunsight Lake", "Vidra Lake", "Honeoye Lake", "Runaway Pond", "Kraaker Kiessee", "Lake Vissi", "Two Ocean Lake", "Lago di Santa Rosalia", "Tioga Lake", "Suncook Lakes", "Lake Erçek", "Toxaway Lake", "Lake Karapiro", "Edna Lake", "Dublin Pond", "Virmajärvi", "Natahki Lake", "Ratasjärv", "Lake Fryxell", "Minnedosa Lake", "Sanabria Lake", "Blue Marsh Lake", "Geassájávri", "Bradley Lake", "Paugus Bay", "Llyn Celyn", "Tuxbury Pond", "Lake Nyos", "Freshwater Lagoon", "Palitsi Reservoir", "McWillards Lake", "Amsoldingersee", "Hornsea Mere", "Øyvatnet", "Lost Lake", "Mapanuepe Lake", "Morning Star Lake", "North Buck Lake", "Lünersee", "Bleikvatnet", "Fundin", "Mascoma Lake", "Mono Lake", "Lake Ponchozero", "Bakans", "Great Pond", "Lake Palmdale", "Ammersee", "Rekvatnet", "Lessard Lake", "Aitoliko Lagoon", "Webb Lake", "Gwiazda Lake", "Lake Rotoiti", "McDonald Lake", "Lake of Banyoles", "Hopkins Pond", "Semerwater", "Tropojë Lake", "Blithfield Reservoir", "Stolper See", "Loweswater", "Lake Ptuj", "Goat Lake", "Booragoon Lake", "Trollvatnet", "Ingjelsvatnet", "Mokowanis Lake", "Redfish Lake", "Grafham Water", "Lake Dissoni", "Murusjøen", "Lake Mission Viejo", "French Meadows Reservoir", "Lake Sterzh", "Henrys Lake", "Lac du Bourdon", "Fjærvatnet", "Suttle Lake", "Legore Lake", "Sandy Lake", "Russell Lake", "Grovatnet", "Lake Vidraru", "Langvatnet", "Forked Lake", "Irrsee", "Clinton Lake", "Lake Laka", "Loch Lubnaig", "Contoocook Lake", "Paudash Lake", "Lake Amatitlán", "Haweswater Reservoir", "Chadsey Lake", "Canovasee", "Baxter Lake", "Terkhiin Tsagaan Lake", "Brazeau Reservoir", "Avalanche Lake", "Thorndike Pond", "Sukhyi Liman", "Crestasee", "Llyn-y-foel", "Lake of Gruyère", "Lochspouts", "Teterower See", "Golyam Beglik", "Kilbirnie Loch", "Skatutakee Lake", "Blue River Reservoir", "Bettenauer Weiher", "Lough Ennell", "Seeburger See", "Uebeschisee", "Shamkir reservoir", "Lake Okabena", "Gjømmervatnet", "Jasper Lake", "Solbjørnvatnet", "Lag Prau Pulté", "Ashuelot Pond", "Fuschlsee", "Skeleton Lake", "Barniner See", "Guolehis Suolojávri", "Lake Muir", "Batlava Lake", "Templiner See", "Los Vaqueros Reservoir", "Cross Lake", "Cerulean Lake", "Llyn Brenig", "Lake Yojoa", "Søre Bukkevatnet", "Rainy Lake", "Capitol Lake", "Christine Lake", "Miles Lake", "Island Pond", "Lake Amara", "Alta Lake State Park", "Bogstadvannet", "Lagoa do Fogo", "Crummock Water", "Wular Lake", "Windmaker Lake", "Dollar Lake", "Cow Lake", "Katchewanooka Lake", "Aurice Lake", "Maltby Lake", "Łuknajno Lake", "Lake Vermilion", "Hasse Lake", "Petnja", "Round Lake National Natural Landmark", "Kjelvatnet", "Lake Banook", "Lake Eupen", "Koehn Lake", "Little Yirkie Lake", "Virginia Lake", "Everly Lake", "Lake Nisramont", "Lake Malta", "Lugu Lake", "Lake Burrumbeet", "Kidston Lake", "Lake Iroquois, Illinois", "Naturbadesee Stockelache", "Gold Creek Dam", "Starvation Lake", "Laguna Colorada", "Storglomvatnet", "Gadsar Lake", "Three Lake", "Bill Gunn Dam", "Lac de Moron", "Nedre Fiplingvatnet", "Ticha Reservoir", "Håsjøen", "Jonsvatnet", "Cultus Lake", "Little Cultus Lake", "Lake Gileppe", "Pavilion Lake", "Crater Lake", "Bow Lake", "Grace Lake", "Bala Lake", "Loch Errochty", "Lac d'Ilay", "Comerford Reservoir", "Lake Turgoyak", "Muriel Lake", "Rimrock Lake", "Forrestdale Lake", "Kvitvatnet", "Bear Island", "Våvatnet", "Silver Lake", "Yovkovtsi", "Shawnigan Lake", "Branch Lake", "Leksdalsvatnet", "Faulvatnet", "Étang de Bois Rouge", "Ninigret Pond", "Green Lake", "Sandy Lake", "Yangzong Lake", "Stendorfer See", "Spring Lake", "Lake Warden" ], "function": "<=", "commonness": -13.86741747486953, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "geography.lake", "class": "geography.lake", "friendly_name": "Lake", "question_node": 1, 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"Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000201, "question": "what is the total amount of buildings in the wtc?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "wtc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000202, "question": "what is the total amount of buildings in the twin towers?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "twin towers", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000300, "question": "how many towers does the world trade center have?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "World Trade Center", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000301, "question": "how many towers does the wtc have?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "wtc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000302, "question": "how many towers does the twin towers have?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "twin towers", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000400, "question": "how many buildings are there in the world trade center?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "World Trade Center", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000401, "question": "how many buildings are there in the wtc?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "wtc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000402, "question": "how many buildings are there in the twin towers?", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "twin towers", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000500, "question": "what's the number of buildings in the world trade center.", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "World Trade Center", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000501, "question": "what's the number of buildings in the wtc.", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "wtc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 147000502, "question": "what's the number of buildings in the twin towers.", "answer": [ "8" ], "function": "count", "commonness": -12.331540563847096, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building", "class": "architecture.building", "friendly_name": "Building", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.world_trade_center", "class": "architecture.building_complex", "friendly_name": "twin towers", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building.building_complex", "friendly_name": "Building Complex" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :architecture.building . \nVALUES ?x1 { :en.world_trade_center } \n?x0 :architecture.building.building_complex ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 148000000, "question": "what aviation incidents have survivors fewer than 55?", "answer": [ "China Southwest Airlines Flight 4509", "University of Evansville men's basketball team plane crash", "LOT Flight 5055", "1951 Ringway Dakota accident", "Asiana Airlines Flight 733", "Avianca Flight 410", "China Northwest Airlines Flight 2303", "US Airways Flight 1016", "Sabena OO-AUB Ostend crash", "BOAC Flight 911", "Turkish Airlines Flight 278", "TWA Flight 903", "JAT Airways Flight 769", "1958 Bristol Britannia 312 crash", "2007 Balad aircraft crash", "Air Ontario Flight 1363", "American Airlines Flight 320", "Copa Airlines Flight 201", "Royal Air Force Nimrod XV230", "Widerøe Flight 744", "National Airlines Flight 967", "Air Florida Flight 90", "ALM Flight 980", "Braniff Flight 542", "2008 Biggin Hill Cessna Citation crash", "Continental Airlines Flight 1713", "American Airlines Flight 11", "UTA Flight 772", "Swissair Flight 330", "EgyptAir Flight 990", "Assassination of Juvénal Habyarimana and Cyprien Ntaryamira", "VASP Flight 168", "2009 Andhra Pradesh Chief Minister helicopter crash", "Pulkovo Aviation Enterprise Flight 612", "Garuda Indonesia Flight 152", "Advance Airlines Flight DR4210", "Turkish Airlines Flight 981", "American Eagle Flight 4184", "Spair Airlines Flight PAR-3601", "LANSA Flight 508", "American Airlines Flight 965", "Comair Flight 3272", "Kano air disaster", "1979 Turkish Airlines Ankara crash", "LAN Chile Flight 107", "Turkish Airlines Flight 158", "TWA Flight 841 of 1974", "Aeroflot Flight 821", "EgyptAir Flight 864", "American Airlines Flight 383", "PMTair Flight 241", "American Eagle Flight 5456", "Stockport air disaster", "Linjeflyg Flight 277", "Bukken Bruse disaster", "1956 Trans-Canada Air Lines accident", "1961 Turkish Airlines Ankara crash", "TWA Flight 128", "2001 Avjet Aspen crash", "Atlasjet Flight 4203", "TWA Flight 3", "Cambrian Airways Liverpool crash", "Agadir air disaster", "Air New England Flight 248", "2009 Montana Pilatus PC-12 crash", "Flash Airlines Flight 604", "Sabena Flight 548", "TWA Flight 800", "Comair Flight 5191", "1983 British Airways Sikorsky S-61 crash", "R101 crash", "Royal Air Maroc Flight 630", "Air Vietnam Flight 706", "United States Air Force SR-71 crash", "Flying Tiger Line Flight 739", "Bar Harbor Airlines Flight 1808", "Sonic Blue Airways Flight 604", "United Airlines Flight 608", "Sosoliso Airlines Flight 1145", "China Airlines Flight 140", "Cal Poly football team plane crash", "West Coast Airlines Flight 956", "Alitalia Flight 4128", "Quebecair Flight 255", "Indian Airlines Flight 605", "1977 Israeli Air Force Sikorsky CH-53 Sea Stallion crash", "China Airlines Flight 358", "Trans-Canada Air Lines Flight 831", "Colgan Air Flight 3407", "PBA Flight 1039", "1950 Heathrow BEA Viking accident", "Lufthansa CityLine Flight 5634", "Vietnam Airlines Flight 815", "2008 Guam B-52 crash", "Inex-Adria Aviopromet Flight 1308", "TWA Flight 529", "Imperial Airlines Flight 201/8", "Florida Commuter Airlines crash", "1933 United Airlines Boeing 247 mid-air explosion", "2004 Russian aircraft bombings", "Libyan Arab Airlines Flight 114", "Eastern Air Lines Flight 21", "Canadian Pacific Air Lines Flight 402", "2006 Falsterbo Swedish Coast Guard crash", "United Airlines Trip 34", "Pan Am Flight 217", "1983 Avensa Douglas DC-9 crash", "Atlantic Southeast Airlines Flight 529", "British United Airways Flight 1030X", "USAir Flight 499", "Pan Am Flight 812", "Agni Air Flight 101", "2010 Bandundu Filair Let L-410 crash", "Avianca Flight 011", "B-25 Empire State Building crash", "One-Two-GO Airlines Flight 269", "UTAGE Flight 141", "Los Angeles Airways Flight 841", "PIA Flight 688", "Iraqi Airways Flight 163", "Siberia Airlines Flight 1812", "Armed Forces of the Russian Federation Flight 9064", "Arrow Air Flight 1285", "1979 Garuda Fokker F28 crash", "Henan Airlines Flight 8387", "Iberia Airlines Flight 401", "United Airlines Flight 521", "American Airlines Flight 587", "Garuda Indonesia Flight 150", "TWA Flight 514", "Braathens SAFE Flight 239", "2010 Interisland Airlines Crash", "United Airlines Flight 266", "TWA Flight 513", "1972 Thandwe crash", "Varig Flight 820", "2008 Los Roques archipelago Transaven Let L-410 crash", "CAAC Flight 3303", "Eastern Air Lines Flight 375", "United Airlines Flight 297", "Air China Flight 129", "Air Rhodesia Flight 825", "SA de Transport Aérien Flight 730", "United Airlines Flight 629", "2010 Romanian Air Force Antonov An-2 crash", "Mohawk Airlines Flight 121", "Pan Am Flight 214", "2007 Blue Angels South Carolina crash", "TWA Flight 400", "BOAC Flight 712", "Crossair Flight 498", "Pan Am Flight 7", "Holtaheia Accident", "Eastern Air Lines Flight 66", "TWA Flight 277", "2008 Spain Pilatus PC-6 crash", "Dana Air Flight 992", "United Airlines Cheyenne Crash", "1986 British International Helicopters Chinook crash", "PauknAir Flight 4101", "Braniff Flight 352", "Argo 16", "Texas International Airlines Flight 655", "Air New Zealand Flight 901", "Galaxy Airlines Flight 203", "Pan Am Flight 103", "Pan Am Flight 845/26", "Mandala Airlines Flight 091", "United Airlines Flight 610", "Widerøe Flight 839", "Southern Cloud", "2009 Makhachkala Il-76 collision", "United Airlines Flight 6", "Oklahoma State University men's basketball team plane crash", "Havørn Accident", "Aeroflot Flight 3352", "Turkish Airlines Flight 634", "Atlantic Southeast Airlines Flight 2311", "Cameroon Airlines Flight 3701", "2011 Tawang Town Mil Mi-17 crash", "Kam Air Flight 904", "TAME Flight 120", "1998 Ariana Afghan Airlines crash", "2009 Kenyan Beechcraft 1900D crash", "Pan Am Flight 151", "Lauda Air Flight 004", "Gulf Air Flight 771", "Varig Airlines Flight 837", "Alaska Airlines Flight 1866", "Indian Airlines Flight 257", "1983 TAAG Angola Airlines Boeing 737 crash", "Scandinavian Airlines System Flight 933", "Trans-Canada Air Lines Flight 810", "Air Midwest Flight 5481", "Dominicana DC-9 air disaster", "Aerosvit Flight 241", "1959 Turkish Airlines Gatwick crash", "Japan Airlines Flight 446", "United Airlines Flight 585", "Northwest Orient Airlines Flight 2", "TAP Portugal Flight 425", "Cubana de Aviación Flight 455", "1981 Panamanian Air Force Twin Otter crash", "LOT Flight 7", "TWA Flight 260", "Swissair Flight 111", "Llandow air disaster", "Northwest Airlines Flight 4422", "Varig Flight 797", "China Airlines Flight 676", "Divi Divi Air Flight 014", "Luxair Flight 9642", "Heerodden helicopter accident", "Northwest Orient Airlines Flight 706", "Thai Airways International Flight 311", "Vladivostok Air Flight 352", "Pan Am Flight 806", "El Al Flight 402", "Aeroflot Flight 411", "TAROM Flight 371", "Caledonian Airways Flight 153", "PIA Flight 705", "Far Eastern Air Transport Flight 103", "Pacific Air Lines Flight 773", "Armavia Flight 967", "1972 Königs Wusterhausen air disaster", "Kenya Airways Flight 431", "John F. Kennedy, Jr. plane crash", "KLM Cityhopper Flight 433", "Aerocaribe Flight 7831", "Lufthansa Flight 005", "Eastern Air Lines Flight 980", "2007 Mogadishu TransAVIAexport Airlines Il-76 crash", "Iran Aseman Airlines Flight 746", "KLM Flight 633", "Atlantic Coast Airlines Flight 6291", "Lionair Flight 602", "1936 KLM Croydon accident", "Widerøe Flight 710", "PP-VLU", "1954 Cathay Pacific Douglas DC-4 shootdown", "United Airlines Flight 553", "Santa Bárbara Airlines Flight 518", "China General Aviation Flight 7552", "Mimika Air Flight 514", "China Eastern Airlines Flight 5210", "Canadian Pacific Air Lines Flight 21", "West Caribbean Airways Flight 708", "Korean Air Lines Flight 007", "Avensa Flight 358", "1950 Tête de l'Obiou C-54 crash", "EgyptAir Flight 648", "PSA Flight 182", "The Day the Music Died", "2006 Vladikavkaz Mi-8 crash", "Braniff Flight 250", "2009 Indonesian Air Force C-130H Hercules crash", "PIA Flight 740", "Mohawk Airlines Flight 405", "Atlantic Airways Flight 670", "SilkAir Flight 185", "PIA Flight 268", "Capital Airlines Flight 75", "American Airlines Flight 1", "Pan Am Flight 1-10", "Kaleva", "Mirosławiec air disaster", "LAPA Flight 3142", "Dan-Air Flight 0034", "Malév Flight 240", "1963 BAC One-Eleven test crash", "Vnukovo Airlines Flight 2801", "Northwest Airlines Flight 2", "Saudia Flight 163", "USAir Flight 405", "Azerbaijan Airlines Flight 217", "Ethiopian Airlines Flight 961", "SAETA Flight 232", "1958 Central African Airways plane crash", "1946 Antarctica PBM Mariner crash", "Rico Linhas Aéreas Flight 4815", "Turkish Airlines Flight 345", "Dash 8 landing gear incidents", "American Airlines Flight 625", "United Airlines Flight 823", "2002 Khankala Mi-26 crash", "2011 Pointe-Noire Trans Air Congo An-12 crash", "United Airlines Flight 389", "Sudan Airways Flight 139", "United Airlines Flight 409", "British European Airways Flight 706", "1972 Andes flight disaster", "Asian Spirit Flight 100", "Northwest Orient Airlines Flight 710", "Kvitbjørn disaster", "Air Rhodesia Flight 827", "Capital Airlines Flight 20", "Lovettsville air disaster", "Air Tahoma Flight 185", "Aeroflot Flight 7425", "Miss Macao", "Corporate Airlines Flight 5966", "Surinam Airways Flight 764", "Crossair Flight 3597", "Iberia Airlines Flight 062", "South African Airways Flight 201", "National Airlines Flight 2511", "Northeast Airlines Flight 946", "Linjeflyg Flight 618", "China Airlines Flight 206", "Philippine Airlines Flight 158", "Delta Air Lines Flight 9570", "2010 Polish Air Force Tu-154 crash", "Tuninter Flight 1153", "Ansett New Zealand Flight 703", "1974 Turkish Airlines Izmir crash", "Avianca Flight 203", "China Southern Airlines Flight 3456", "Asiana Airlines Flight 991", "Los Angeles Airways Flight 417", "New Zealand National Airways Corporation Flight 441", "Aeroflot Flight 418", "Pinnacle Airlines Flight 3701", "BOAC Flight 781", "China Southern Airlines Flight 3943", "United Airlines Flight 615", "LANSA Flight 502", "Yeti Airlines Flight 103", "Indian Airlines Flight 113", "Civil Air Transport Flight B-908", "Northwest Airlines Flight 255", "Downend air crash", "Turkish Airlines Flight 5904", "Continental Express Flight 2574", "Turkish Airlines Flight 452", "TAM Transportes Aéreos Regionais Flight 402", "Binter Mediterráneo Flight 8261", "XL Airways Germany Flight 888T", "Prinair Flight 191", "1996 Air Africa crash", "Kashmir Princess", "1986 Mozambican Tupolev Tu-134 crash", "Spanair Flight 5022", "Delta Air Lines Flight 191", "JAT Flight 367", "Alas Chiricanas Flight 901", "1995 Trans Service Airlift Electra crash", "Pakistan International Airlines Flight 631", "Hurum air disaster", "United Airlines Flight 175", "TANS Perú Flight 222", "2010 Okhaldhunga Twin Otter crash", "1994 Scotland RAF Chinook crash", "PIA Flight 544", "Cyprus Airways Flight 284", "Capital Airlines Flight 67", "Japan Airlines Flight 715", "United Airlines Flight 227", "Pacific Western Airlines Flight 314", "Air Algérie Flight 6289", "Southern Airways Flight 242", "Bellview Airlines Flight 210", "China Airlines Flight 611", "1956 Scottish Airlines Malta air disaster", "Flying Tiger Line Flight 282", "Pan Am Flight 202", "Winter Hill air disaster", "Mohawk Airlines Flight 411", "Sikorsky S-61N G-BEID crash", "LOT Polish Airlines Flight 165", "EgyptAir Flight 763", "USAir Flight 427", "Flight 19", "China Northern Airlines Flight 6136", "United Airlines Flight 2860", "UTair Flight 471", "Transbrasil Flight 303", "Eastern Air Lines Flight 304", "Thai Airways International Flight 261", "Aeroflot Flight 331", "Iberia Airlines Flight 610", "KLM Flight 607-E", "Japan Airlines Flight 123", "Polar 3", "American Airlines Flight 157", "2007 Paramount Airlines Mil Mi-8 crash", "Pan Am Flight 708", "Korean Air Flight 801", "1987 Indianapolis Ramada Inn A-7D Corsair II Crash", "Ariana Afghan Airlines Flight 202", "1933 Imperial Airways Diksmuide crash", "Varig Flight 254", "1949 Manchester DC-3 accident", "Pan Am Flight 759", "Air Moorea Flight 1121" ], "function": "<", "commonness": -15.930320602093794, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "55^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "55", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.survivors", "friendly_name": "Survivors" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 < 55)\n?x0 :aviation.airliner_accident.survivors ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 148000100, "question": "list aviation incidents with less than 55 survivors.", "answer": [ "American Airlines Flight 11", "Continental Express Flight 2574", "1979 Garuda Fokker F28 crash", "LAN Chile Flight 107", "PBA Flight 1039", "Flash Airlines Flight 604", "1933 United Airlines Boeing 247 mid-air explosion", "Aerocaribe Flight 7831", "2008 Guam B-52 crash", "Iran Aseman Airlines Flight 746", "Braniff Flight 352", "Inex-Adria Aviopromet Flight 1308", "China Airlines Flight 206", "1995 Trans Service Airlift Electra crash", "Spair Airlines Flight PAR-3601", "1998 Ariana Afghan Airlines crash", "China Southern Airlines Flight 3943", "Widerøe Flight 744", "TAME Flight 120", "1981 Panamanian Air Force Twin Otter crash", "Luxair Flight 9642", "TWA Flight 800", "TAP Portugal Flight 425", "Thai Airways International Flight 261", "2009 Montana Pilatus PC-12 crash", "Transbrasil Flight 303", "Delta Air Lines Flight 191", "2007 Mogadishu TransAVIAexport Airlines Il-76 crash", "Turkish Airlines Flight 452", "Pan Am Flight 708", "Cambrian Airways Liverpool crash", "2008 Spain Pilatus PC-6 crash", "Southern Airways Flight 242", "United Airlines Trip 34", "Polar 3", "United Airlines Flight 521", "2009 Kenyan Beechcraft 1900D crash", "Trans-Canada Air Lines Flight 810", "China Airlines Flight 140", "Sosoliso Airlines Flight 1145", "Yeti Airlines Flight 103", "Iberia Airlines Flight 062", "BOAC Flight 911", "Holtaheia Accident", "1949 Manchester DC-3 accident", "American Eagle Flight 5456", "Gulf Air Flight 771", "1972 Königs Wusterhausen air disaster", "1950 Tête de l'Obiou C-54 crash", "1983 British Airways Sikorsky S-61 crash", "Air New England Flight 248", "Garuda Indonesia Flight 150", "United Airlines Flight 629", "1977 Israeli Air Force Sikorsky CH-53 Sea Stallion crash", "West Caribbean Airways Flight 708", "United Airlines Flight 553", "Lufthansa CityLine Flight 5634", "Mimika Air Flight 514", "Quebecair Flight 255", "Los Angeles Airways Flight 417", "Turkish Airlines Flight 158", "Linjeflyg Flight 618", "New Zealand National Airways Corporation Flight 441", "LOT Flight 7", "China Eastern Airlines Flight 5210", "National Airlines Flight 2511", "2007 Paramount Airlines Mil Mi-8 crash", "Avianca Flight 410", "Vnukovo Airlines Flight 2801", "One-Two-GO Airlines Flight 269", "Turkish Airlines Flight 981", "South African Airways Flight 201", "Cubana de Aviación Flight 455", "Galaxy Airlines Flight 203", "US Airways Flight 1016", "Lionair Flight 602", "2010 Polish Air Force Tu-154 crash", "Crossair Flight 498", "Capital Airlines Flight 67", "China General Aviation Flight 7552", "Turkish Airlines Flight 5904", "TAM Transportes Aéreos Regionais Flight 402", "Sikorsky S-61N G-BEID crash", "China Southwest Airlines Flight 4509", "Widerøe Flight 839", "1983 TAAG Angola Airlines Boeing 737 crash", "Royal Air Maroc Flight 630", "Flight 19", "John F. Kennedy, Jr. plane crash", "Indian Airlines Flight 113", "Northwest Airlines Flight 255", "1986 British International Helicopters Chinook crash", "Cameroon Airlines Flight 3701", "United Airlines Flight 389", "TWA Flight 903", "American Airlines Flight 383", "Avensa Flight 358", "Kam Air Flight 904", "United Airlines Flight 6", "Pan Am Flight 759", "1986 Mozambican Tupolev Tu-134 crash", "Azerbaijan Airlines Flight 217", "TWA Flight 128", "Atlantic Airways Flight 670", "Malév Flight 240", "LOT Polish Airlines Flight 165", "Atlasjet Flight 4203", "TWA Flight 400", "XL Airways Germany Flight 888T", "Turkish Airlines Flight 345", "1974 Turkish Airlines Izmir crash", "Santa Bárbara Airlines Flight 518", "Dana Air Flight 992", "Sudan Airways Flight 139", "TANS Perú Flight 222", "Llandow air disaster", "United Airlines Flight 2860", "TAROM Flight 371", "2010 Okhaldhunga Twin Otter crash", "Japan Airlines Flight 446", "1987 Indianapolis Ramada Inn A-7D Corsair II Crash", "Swissair Flight 111", "Varig Flight 797", "LANSA Flight 508", "Indian Airlines Flight 605", "Aeroflot Flight 418", "Prinair Flight 191", "Binter Mediterráneo Flight 8261", "VASP Flight 168", "1956 Scottish Airlines Malta air disaster", "JAT Airways Flight 769", "United Airlines Flight 175", "Pacific Air Lines Flight 773", "Ethiopian Airlines Flight 961", "United Airlines Flight 585", "Ansett New Zealand Flight 703", "United Airlines Cheyenne Crash", "2010 Bandundu Filair Let L-410 crash", "Cyprus Airways Flight 284", "Flying Tiger Line Flight 282", "University of Evansville men's basketball team plane crash", "Linjeflyg Flight 277", "Aeroflot Flight 411", "UTA Flight 772", "American Airlines Flight 157", "2007 Blue Angels South Carolina crash", "SilkAir Flight 185", "Canadian Pacific Air Lines Flight 402", "2009 Indonesian Air Force C-130H Hercules crash", "Caledonian Airways Flight 153", "Capital Airlines Flight 75", "BOAC Flight 712", "Winter Hill air disaster", "PIA Flight 705", "Varig Flight 254", "Heerodden helicopter accident", "Northwest Orient Airlines Flight 710", "UTair Flight 471", "Continental Airlines Flight 1713", "British European Airways Flight 706", "UTAGE Flight 141", "JAT Flight 367", "Armed Forces of the Russian Federation Flight 9064", "Rico Linhas Aéreas Flight 4815", "TWA Flight 513", "Downend air crash", "2006 Falsterbo Swedish Coast Guard crash", "Aerosvit Flight 241", "1994 Scotland RAF Chinook crash", "British United Airways Flight 1030X", "Japan Airlines Flight 123", "Far Eastern Air Transport Flight 103", "1972 Thandwe crash", "American Airlines Flight 1", "Air Ontario Flight 1363", "Sabena OO-AUB Ostend crash", "Kenya Airways Flight 431", "American Airlines Flight 625", "Aeroflot Flight 821", "2011 Tawang Town Mil Mi-17 crash", "1958 Bristol Britannia 312 crash", "Imperial Airlines Flight 201/8", "Air China Flight 129", "Pan Am Flight 845/26", "Braniff Flight 542", "American Airlines Flight 587", "Pan Am Flight 7", "Turkish Airlines Flight 634", "Widerøe Flight 710", "Advance Airlines Flight DR4210", "R101 crash", "Comair Flight 3272", "Cal Poly football team plane crash", "Royal Air Force Nimrod XV230", "Air Rhodesia Flight 827", "SA de Transport Aérien Flight 730", "Ariana Afghan Airlines Flight 202", "El Al Flight 402", "Pulkovo Aviation Enterprise Flight 612", "American Eagle Flight 4184", "2007 Balad aircraft crash", "United Airlines Flight 227", "Libyan Arab Airlines Flight 114", "Copa Airlines Flight 201", "Surinam Airways Flight 764", "USAir Flight 499", "Pan Am Flight 151", "1954 Cathay Pacific Douglas DC-4 shootdown", "1951 Ringway Dakota accident", "Crossair Flight 3597", "Hurum air disaster", "Vietnam Airlines Flight 815", "Air Vietnam Flight 706", "Asiana Airlines Flight 991", "American Airlines Flight 965", "Asian Spirit Flight 100", "TWA Flight 3", "Corporate Airlines Flight 5966", "EgyptAir Flight 990", "Pinnacle Airlines Flight 3701", "TWA Flight 277", "Pan Am Flight 1-10", "Air Rhodesia Flight 825", "2008 Biggin Hill Cessna Citation crash", "Dan-Air Flight 0034", "Avianca Flight 011", "Pakistan International Airlines Flight 631", "PP-VLU", "2010 Romanian Air Force Antonov An-2 crash", "Alas Chiricanas Flight 901", "B-25 Empire State Building crash", "The Day the Music Died", "Braniff Flight 250", "Trans-Canada Air Lines Flight 831", "SAETA Flight 232", "2002 Khankala Mi-26 crash", "Aeroflot Flight 7425", "Agadir air disaster", "Stockport air disaster", "LANSA Flight 502", "1996 Air Africa crash", "Vladivostok Air Flight 352", "China Airlines Flight 611", "1972 Andes flight disaster", "United Airlines Flight 615", "United States Air Force SR-71 crash", "Bar Harbor Airlines Flight 1808", "Thai Airways International Flight 311", "Air Algérie Flight 6289", "Northwest Orient Airlines Flight 706", "Lovettsville air disaster", "2010 Interisland Airlines Crash", "Colgan Air Flight 3407", "2004 Russian aircraft bombings", "Iberia Airlines Flight 401", "Pan Am Flight 812", "LAPA Flight 3142", "Mohawk Airlines Flight 405", "Indian Airlines Flight 257", "KLM Cityhopper Flight 433", "1959 Turkish Airlines Gatwick crash", "PMTair Flight 241", "KLM Flight 633", "Arrow Air Flight 1285", "Havørn Accident", "Northwest Orient Airlines Flight 2", "USAir Flight 427", "EgyptAir Flight 864", "2006 Vladikavkaz Mi-8 crash", "Eastern Air Lines Flight 21", "2011 Pointe-Noire Trans Air Congo An-12 crash", "China Southern Airlines Flight 3456", "Capital Airlines Flight 20", "1961 Turkish Airlines Ankara crash", "West Coast Airlines Flight 956", "Armavia Flight 967", "Japan Airlines Flight 715", "Argo 16", "Texas International Airlines Flight 655", "BOAC Flight 781", "KLM Flight 607-E", "1956 Trans-Canada Air Lines accident", "Sabena Flight 548", "Civil Air Transport Flight B-908", "EgyptAir Flight 763", "1936 KLM Croydon accident", "Canadian Pacific Air Lines Flight 21", "Kaleva", "Varig Airlines Flight 837", "Korean Air Flight 801", "Assassination of Juvénal Habyarimana and Cyprien Ntaryamira", "Mohawk Airlines Flight 121", "Divi Divi Air Flight 014", "1958 Central African Airways plane crash", "United Airlines Flight 823", "1933 Imperial Airways Diksmuide crash", "Air Florida Flight 90", "Pan Am Flight 202", "Eastern Air Lines Flight 304", "American Airlines Flight 320", "China Northwest Airlines Flight 2303", "1979 Turkish Airlines Ankara crash", "Atlantic Southeast Airlines Flight 2311", "Sonic Blue Airways Flight 604", "Kvitbjørn disaster", "PauknAir Flight 4101", "Oklahoma State University men's basketball team plane crash", "Atlantic Coast Airlines Flight 6291", "Atlantic Southeast Airlines Flight 529", "TWA Flight 260", "Alitalia Flight 4128", "EgyptAir Flight 648", "United Airlines Flight 297", "Kano air disaster", "Pan Am Flight 103", "United Airlines Flight 608", "Eastern Air Lines Flight 980", "Lauda Air Flight 004", "Air Tahoma Flight 185", "PIA Flight 544", "Eastern Air Lines Flight 375", "Bellview Airlines Flight 210", "Garuda Indonesia Flight 152", "Miss Macao", "Mandala Airlines Flight 091", "Southern Cloud", "CAAC Flight 3303", "Comair Flight 5191", "Varig Flight 820", "Air Midwest Flight 5481", "Flying Tiger Line Flight 739", "Scandinavian Airlines System Flight 933", "Iraqi Airways Flight 163", "TWA Flight 529", "China Northern Airlines Flight 6136", "Northwest Airlines Flight 2", "Eastern Air Lines Flight 66", "Air New Zealand Flight 901", "Northeast Airlines Flight 946", "2009 Makhachkala Il-76 collision", "PIA Flight 688", "Lufthansa Flight 005", "TWA Flight 841 of 1974", "Philippine Airlines Flight 158", "Korean Air Lines Flight 007", "2001 Avjet Aspen crash", "ALM Flight 980", "Air Moorea Flight 1121", "Mirosławiec air disaster", "Spanair Flight 5022", "Iberia Airlines Flight 610", "Agni Air Flight 101", "Delta Air Lines Flight 9570", "Pan Am Flight 214", "Florida Commuter Airlines crash", "2008 Los Roques archipelago Transaven Let L-410 crash", "Alaska Airlines Flight 1866", "Northwest Airlines Flight 4422", "Saudia Flight 163", "PSA Flight 182", "2009 Andhra Pradesh Chief Minister helicopter crash", "USAir Flight 405", "Asiana Airlines Flight 733", "Avianca Flight 203", "TWA Flight 514", "Pan Am Flight 217", "1946 Antarctica PBM Mariner crash", "Pacific Western Airlines Flight 314", "United Airlines Flight 610", "Los Angeles Airways Flight 841", "Dominicana DC-9 air disaster", "Braathens SAFE Flight 239", "PIA Flight 740", "Siberia Airlines Flight 1812", "China Airlines Flight 358", "Aeroflot Flight 3352", "1963 BAC One-Eleven test crash", "Dash 8 landing gear incidents", "Mohawk Airlines Flight 411", "Pan Am Flight 806", "LOT Flight 5055", "United Airlines Flight 409", "National Airlines Flight 967", "Henan Airlines Flight 8387", "Aeroflot Flight 331", "Tuninter Flight 1153", "United Airlines Flight 266", "Turkish Airlines Flight 278", "1950 Heathrow BEA Viking accident", "China Airlines Flight 676", "1983 Avensa Douglas DC-9 crash", "Kashmir Princess", "Bukken Bruse disaster", "PIA Flight 268", "Swissair Flight 330" ], "function": "<", "commonness": -15.930320602093794, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "55^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "55", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.survivors", "friendly_name": "Survivors" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 < 55)\n?x0 :aviation.airliner_accident.survivors ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 148000200, "question": "find the flight incidents from which less than 55 people survived.", "answer": [ "Trans-Canada Air Lines Flight 810", "Atlantic Airways Flight 670", "Braniff Flight 542", "Aeroflot Flight 418", "New Zealand National Airways Corporation Flight 441", "SA de Transport Aérien Flight 730", "Atlantic Southeast Airlines Flight 529", "Korean Air Flight 801", "Turkish Airlines Flight 981", "Pan Am Flight 202", "1994 Scotland RAF Chinook crash", "1956 Trans-Canada Air Lines accident", "1974 Turkish Airlines Izmir crash", "Lovettsville air disaster", "2009 Makhachkala Il-76 collision", "United Airlines Flight 2860", "Delta Air Lines Flight 9570", "Turkish Airlines Flight 345", "Pan Am Flight 103", "USAir Flight 405", "Asian Spirit Flight 100", "Pan Am Flight 7", "Winter Hill air disaster", "Armavia Flight 967", "Mirosławiec air disaster", "Pacific Air Lines Flight 773", "Los Angeles Airways Flight 417", "United Airlines Flight 823", "1983 TAAG Angola Airlines Boeing 737 crash", "TWA Flight 903", "Indian Airlines Flight 113", "KLM Flight 607-E", "Bar Harbor Airlines Flight 1808", "United Airlines Flight 608", "Scandinavian Airlines System Flight 933", "United Airlines Flight 6", "China Eastern Airlines Flight 5210", "EgyptAir Flight 763", "TAROM Flight 371", "United Airlines Flight 553", "TANS Perú Flight 222", "Pakistan International Airlines Flight 631", "Spair Airlines Flight PAR-3601", "TAME Flight 120", "Garuda Indonesia Flight 152", "Agadir air disaster", "Turkish Airlines Flight 5904", "Pacific Western Airlines Flight 314", "American Airlines Flight 11", "Mohawk Airlines Flight 411", "Avensa Flight 358", "Bellview Airlines Flight 210", "Braniff Flight 250", "1983 Avensa Douglas DC-9 crash", "Air Moorea Flight 1121", "Dan-Air Flight 0034", "Pan Am Flight 708", "United Airlines Flight 610", "Braniff Flight 352", "Assassination of Juvénal Habyarimana and Cyprien Ntaryamira", "South African Airways Flight 201", "American Airlines Flight 587", "US Airways Flight 1016", "Pinnacle Airlines Flight 3701", "Quebecair Flight 255", "American Airlines Flight 157", "2011 Pointe-Noire Trans Air Congo An-12 crash", "Armed Forces of the Russian Federation Flight 9064", "Northwest Orient Airlines Flight 706", "2001 Avjet Aspen crash", "China Airlines Flight 140", "Texas International Airlines Flight 655", "2008 Los Roques archipelago Transaven Let L-410 crash", "Air New England Flight 248", "1995 Trans Service Airlift Electra crash", "1933 United Airlines Boeing 247 mid-air explosion", "1951 Ringway Dakota accident", "Aerosvit Flight 241", "Royal Air Maroc Flight 630", "Advance Airlines Flight DR4210", "Pan Am Flight 217", "National Airlines Flight 967", "Turkish Airlines Flight 452", "PP-VLU", "1958 Bristol Britannia 312 crash", "United Airlines Flight 175", "Aeroflot Flight 411", "PIA Flight 688", "Henan Airlines Flight 8387", "Northwest Orient Airlines Flight 2", "2007 Balad aircraft crash", "PIA Flight 268", "1996 Air Africa crash", "Pan Am Flight 151", "Binter Mediterráneo Flight 8261", "2009 Indonesian Air Force C-130H Hercules crash", "Continental Express Flight 2574", "Comair Flight 5191", "Trans-Canada Air Lines Flight 831", "Air Rhodesia Flight 827", "Gulf Air Flight 771", "Caledonian Airways Flight 153", "Eastern Air Lines Flight 304", "Pan Am Flight 214", "Far Eastern Air Transport Flight 103", "British European Airways Flight 706", "Linjeflyg Flight 618", "Sikorsky S-61N G-BEID crash", "1956 Scottish Airlines Malta air disaster", "Northwest Airlines Flight 2", "Eastern Air Lines Flight 66", "Galaxy Airlines Flight 203", "Varig Flight 797", "Colgan Air Flight 3407", "Kvitbjørn disaster", "Kaleva", "Cameroon Airlines Flight 3701", "Capital Airlines Flight 67", "BOAC Flight 781", "United Airlines Flight 389", "Surinam Airways Flight 764", "China Northwest Airlines Flight 2303", "Dominicana DC-9 air disaster", "Canadian Pacific Air Lines Flight 21", "Cambrian Airways Liverpool crash", "SilkAir Flight 185", "1986 Mozambican Tupolev Tu-134 crash", "Japan Airlines Flight 446", "1958 Central African Airways plane crash", "United Airlines Flight 297", "El Al Flight 402", "Holtaheia Accident", "Linjeflyg Flight 277", "Iraqi Airways Flight 163", "Argo 16", "2004 Russian aircraft bombings", "Transbrasil Flight 303", "2010 Polish Air Force Tu-154 crash", "Ansett New Zealand Flight 703", "Flying Tiger Line Flight 739", "One-Two-GO Airlines Flight 269", "UTA Flight 772", "ALM Flight 980", "Yeti Airlines Flight 103", "Varig Airlines Flight 837", "Rico Linhas Aéreas Flight 4815", "BOAC Flight 911", "Stockport air disaster", "KLM Flight 633", "Pan Am Flight 759", "Los Angeles Airways Flight 841", "Polar 3", "Lufthansa Flight 005", "CAAC Flight 3303", "2008 Biggin Hill Cessna Citation crash", "China Southwest Airlines Flight 4509", "1954 Cathay Pacific Douglas DC-4 shootdown", "Kashmir Princess", "1959 Turkish Airlines Gatwick crash", "China Airlines Flight 611", "JAT Flight 367", "Indian Airlines Flight 605", "Flight 19", "1946 Antarctica PBM Mariner crash", "LOT Flight 5055", "Kam Air Flight 904", "Atlantic Coast Airlines Flight 6291", "Inex-Adria Aviopromet Flight 1308", "China General Aviation Flight 7552", "China Airlines Flight 676", "Atlantic Southeast Airlines Flight 2311", "Iberia Airlines Flight 401", "2011 Tawang Town Mil Mi-17 crash", "Ethiopian Airlines Flight 961", "Braathens SAFE Flight 239", "Flying Tiger Line Flight 282", "1949 Manchester DC-3 accident", "Hurum air disaster", "Flash Airlines Flight 604", "2007 Mogadishu TransAVIAexport Airlines Il-76 crash", "Japan Airlines Flight 715", "Southern Cloud", "Civil Air Transport Flight B-908", "China Airlines Flight 206", "2006 Falsterbo Swedish Coast Guard crash", "UTAGE Flight 141", "United Airlines Flight 409", "China Northern Airlines Flight 6136", "Indian Airlines Flight 257", "TWA Flight 3", "2006 Vladikavkaz Mi-8 crash", "Pan Am Flight 812", "Garuda Indonesia Flight 150", "Havørn Accident", "TWA Flight 277", "Aeroflot Flight 3352", "Crossair Flight 498", "1972 Thandwe crash", "Air Vietnam Flight 706", "XL Airways Germany Flight 888T", "Air Ontario Flight 1363", "LANSA Flight 502", "United Airlines Flight 521", "Northwest Orient Airlines Flight 710", "Korean Air Lines Flight 007", "VASP Flight 168", "EgyptAir Flight 864", "1977 Israeli Air Force Sikorsky CH-53 Sea Stallion crash", "Varig Flight 820", "Air Rhodesia Flight 825", "United Airlines Cheyenne Crash", "American Airlines Flight 320", "Aeroflot Flight 331", "Dash 8 landing gear incidents", "Siberia Airlines Flight 1812", "Thai Airways International Flight 261", "Northwest Airlines Flight 255", "United Airlines Flight 585", "Florida Commuter Airlines crash", "LAPA Flight 3142", "Vnukovo Airlines Flight 2801", "United Airlines Flight 266", "Northeast Airlines Flight 946", "United Airlines Flight 629", "China Airlines Flight 358", "Saudia Flight 163", "Lauda Air Flight 004", "1950 Tête de l'Obiou C-54 crash", "PIA Flight 544", "West Caribbean Airways Flight 708", "Mimika Air Flight 514", "Alitalia Flight 4128", "Swissair Flight 330", "Lufthansa CityLine Flight 5634", "Eastern Air Lines Flight 21", "Mohawk Airlines Flight 405", "Turkish Airlines Flight 158", "LAN Chile Flight 107", "1998 Ariana Afghan Airlines crash", "Crossair Flight 3597", "R101 crash", "1983 British Airways Sikorsky S-61 crash", "American Airlines Flight 1", "USAir Flight 499", "Avianca Flight 203", "TWA Flight 128", "United Airlines Flight 227", "Northwest Airlines Flight 4422", "KLM Cityhopper Flight 433", "Aeroflot Flight 7425", "Avianca Flight 011", "1981 Panamanian Air Force Twin Otter crash", "Pan Am Flight 1-10", "United Airlines Trip 34", "TWA Flight 514", "Turkish Airlines Flight 634", "Libyan Arab Airlines Flight 114", "United States Air Force SR-71 crash", "TAM Transportes Aéreos Regionais Flight 402", "Santa Bárbara Airlines Flight 518", "2009 Kenyan Beechcraft 1900D crash", "The Day the Music Died", "2010 Romanian Air Force Antonov An-2 crash", "National Airlines Flight 2511", "Atlasjet Flight 4203", "PSA Flight 182", "Capital Airlines Flight 20", "American Airlines Flight 625", "Pan Am Flight 806", "Widerøe Flight 744", "Divi Divi Air Flight 014", "Capital Airlines Flight 75", "Copa Airlines Flight 201", "2007 Paramount Airlines Mil Mi-8 crash", "1987 Indianapolis Ramada Inn A-7D Corsair II Crash", "Oklahoma State University men's basketball team plane crash", "Philippine Airlines Flight 158", "Tuninter Flight 1153", "TWA Flight 800", "Cal Poly football team plane crash", "PIA Flight 740", "Bukken Bruse disaster", "British United Airways Flight 1030X", "USAir Flight 427", "John F. Kennedy, Jr. plane crash", "Prinair Flight 191", "Malév Flight 240", "University of Evansville men's basketball team plane crash", "Mohawk Airlines Flight 121", "Heerodden helicopter accident", "TWA Flight 400", "Thai Airways International Flight 311", "1936 KLM Croydon accident", "Continental Airlines Flight 1713", "Air Florida Flight 90", "2008 Spain Pilatus PC-6 crash", "PauknAir Flight 4101", "2007 Blue Angels South Carolina crash", "LOT Polish Airlines Flight 165", "TAP Portugal Flight 425", "Comair Flight 3272", "Iran Aseman Airlines Flight 746", "Arrow Air Flight 1285", "Vladivostok Air Flight 352", "Lionair Flight 602", "Vietnam Airlines Flight 815", "1933 Imperial Airways Diksmuide crash", "Kenya Airways Flight 431", "Agni Air Flight 101", "West Coast Airlines Flight 956", "2009 Montana Pilatus PC-12 crash", "Asiana Airlines Flight 733", "2010 Interisland Airlines Crash", "Sabena Flight 548", "American Eagle Flight 4184", "Cubana de Aviación Flight 455", "American Eagle Flight 5456", "Swissair Flight 111", "Varig Flight 254", "BOAC Flight 712", "Kano air disaster", "Mandala Airlines Flight 091", "Air Midwest Flight 5481", "Alaska Airlines Flight 1866", "LANSA Flight 508", "Air China Flight 129", "EgyptAir Flight 990", "Luxair Flight 9642", "Cyprus Airways Flight 284", "Air New Zealand Flight 901", "Canadian Pacific Air Lines Flight 402", "TWA Flight 841 of 1974", "Pan Am Flight 845/26", "Widerøe Flight 710", "Eastern Air Lines Flight 375", "China Southern Airlines Flight 3456", "1961 Turkish Airlines Ankara crash", "TWA Flight 529", "Delta Air Lines Flight 191", "Sabena OO-AUB Ostend crash", "B-25 Empire State Building crash", "Sonic Blue Airways Flight 604", "2002 Khankala Mi-26 crash", "Sosoliso Airlines Flight 1145", "Southern Airways Flight 242", "American Airlines Flight 383", "Widerøe Flight 839", "American Airlines Flight 965", "SAETA Flight 232", "Downend air crash", "Sudan Airways Flight 139", "Iberia Airlines Flight 062", "2010 Bandundu Filair Let L-410 crash", "Miss Macao", "Iberia Airlines Flight 610", "1986 British International Helicopters Chinook crash", "JAT Airways Flight 769", "LOT Flight 7", "Spanair Flight 5022", "Avianca Flight 410", "Turkish Airlines Flight 278", "2010 Okhaldhunga Twin Otter crash", "1979 Garuda Fokker F28 crash", "China Southern Airlines Flight 3943", "PIA Flight 705", "Royal Air Force Nimrod XV230", "Alas Chiricanas Flight 901", "Aerocaribe Flight 7831", "Dana Air Flight 992", "PMTair Flight 241", "1950 Heathrow BEA Viking accident", "United Airlines Flight 615", "Imperial Airlines Flight 201/8", "2008 Guam B-52 crash", "Azerbaijan Airlines Flight 217", "Llandow air disaster", "Aeroflot Flight 821", "TWA Flight 513", "Air Tahoma Flight 185", "1972 Königs Wusterhausen air disaster", "Ariana Afghan Airlines Flight 202", "1963 BAC One-Eleven test crash", "2009 Andhra Pradesh Chief Minister helicopter crash", "UTair Flight 471", "Japan Airlines Flight 123", "EgyptAir Flight 648", "Eastern Air Lines Flight 980", "Air Algérie Flight 6289", "Corporate Airlines Flight 5966", "Pulkovo Aviation Enterprise Flight 612", "1979 Turkish Airlines Ankara crash", "TWA Flight 260", "PBA Flight 1039", "Asiana Airlines Flight 991", "1972 Andes flight disaster" ], "function": "<", "commonness": -15.930320602093794, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "55^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "55", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.survivors", "friendly_name": "Survivors" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 < 55)\n?x0 :aviation.airliner_accident.survivors ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 148000300, "question": "what are the aviation incidents in which there were 55 remainders or less?", "answer": [ "Braathens SAFE Flight 239", "JAT Flight 367", "2007 Blue Angels South Carolina crash", "Asiana Airlines Flight 991", "EgyptAir Flight 990", "Vnukovo Airlines Flight 2801", "Mandala Airlines Flight 091", "1958 Central African Airways plane crash", "Garuda Indonesia Flight 152", "Imperial Airlines Flight 201/8", "2011 Tawang Town Mil Mi-17 crash", "Spair Airlines Flight PAR-3601", "TWA Flight 128", "Northeast Airlines Flight 946", "TWA Flight 841 of 1974", "LOT Polish Airlines Flight 165", "Canadian Pacific Air Lines Flight 21", "2008 Biggin Hill Cessna Citation crash", "TWA Flight 514", "British European Airways Flight 706", "Flash Airlines Flight 604", "West Caribbean Airways Flight 708", "Los Angeles Airways Flight 841", "KLM Cityhopper Flight 433", "1979 Garuda Fokker F28 crash", "KLM Flight 607-E", "Pacific Air Lines Flight 773", "Scandinavian Airlines System Flight 933", "Miss Macao", "PauknAir Flight 4101", "Royal Air Maroc Flight 630", "Oklahoma State University men's basketball team plane crash", "Iberia Airlines Flight 610", "US Airways Flight 1016", "2001 Avjet Aspen crash", "United Airlines Flight 610", "Lionair Flight 602", "2007 Paramount Airlines Mil Mi-8 crash", "Transbrasil Flight 303", "Iran Aseman Airlines Flight 746", "Llandow air disaster", "Air Ontario Flight 1363", "Sudan Airways Flight 139", "United Airlines Cheyenne Crash", "China Airlines Flight 358", "PMTair Flight 241", "Indian Airlines Flight 605", "1946 Antarctica PBM Mariner crash", "2010 Romanian Air Force Antonov An-2 crash", "B-25 Empire State Building crash", "Widerøe Flight 710", "Air New England Flight 248", "Agadir air disaster", "2004 Russian aircraft bombings", "1987 Indianapolis Ramada Inn A-7D Corsair II Crash", "China Northern Airlines Flight 6136", "Continental Express Flight 2574", "2008 Los Roques archipelago Transaven Let L-410 crash", "Pulkovo Aviation Enterprise Flight 612", "United Airlines Flight 629", "China Eastern Airlines Flight 5210", "Indian Airlines Flight 113", "Aeroflot Flight 7425", "Siberia Airlines Flight 1812", "2006 Falsterbo Swedish Coast Guard crash", "SA de Transport Aérien Flight 730", "PBA Flight 1039", "United Airlines Flight 521", "Air China Flight 129", "Garuda Indonesia Flight 150", "China Airlines Flight 206", "2010 Bandundu Filair Let L-410 crash", "Turkish Airlines Flight 5904", "Kvitbjørn disaster", "Northwest Orient Airlines Flight 710", "LOT Flight 7", "Pan Am Flight 806", "Delta Air Lines Flight 191", "2010 Interisland Airlines Crash", "Holtaheia Accident", "Widerøe Flight 839", "Alas Chiricanas Flight 901", "Alitalia Flight 4128", "KLM Flight 633", "Pan Am Flight 812", "Philippine Airlines Flight 158", "Comair Flight 5191", "Continental Airlines Flight 1713", "American Eagle Flight 4184", "Linjeflyg Flight 618", "Eastern Air Lines Flight 375", "Los Angeles Airways Flight 417", "Comair Flight 3272", "2008 Guam B-52 crash", "Avianca Flight 203", "TAM Transportes Aéreos Regionais Flight 402", "Flying Tiger Line Flight 739", "Turkish Airlines Flight 981", "Northwest Orient Airlines Flight 2", "Kam Air Flight 904", "Korean Air Lines Flight 007", "Turkish Airlines Flight 452", "Air New Zealand Flight 901", "Lovettsville air disaster", "United Airlines Flight 266", "University of Evansville men's basketball team plane crash", "UTA Flight 772", "TAME Flight 120", "Atlantic Airways Flight 670", "United Airlines Flight 297", "Kenya Airways Flight 431", "Avianca Flight 410", "Japan Airlines Flight 123", "UTair Flight 471", "Winter Hill air disaster", "Atlasjet Flight 4203", "Varig Flight 797", "The Day the Music Died", "Kano air disaster", "Pan Am Flight 202", "Varig Flight 820", "United Airlines Flight 6", "Malév Flight 240", "Aeroflot Flight 3352", "Northwest Orient Airlines Flight 706", "Mohawk Airlines Flight 121", "El Al Flight 402", "Prinair Flight 191", "Swissair Flight 111", "1933 Imperial Airways Diksmuide crash", "2009 Andhra Pradesh Chief Minister helicopter crash", "Heerodden helicopter accident", "Korean Air Flight 801", "American Airlines Flight 320", "2008 Spain Pilatus PC-6 crash", "Dana Air Flight 992", "Eastern Air Lines Flight 21", "1981 Panamanian Air Force Twin Otter crash", "2009 Makhachkala Il-76 collision", "South African Airways Flight 201", "Stockport air disaster", "Aeroflot Flight 418", "XL Airways Germany Flight 888T", "1958 Bristol Britannia 312 crash", "PIA Flight 740", "1974 Turkish Airlines Izmir crash", "John F. Kennedy, Jr. plane crash", "China Southern Airlines Flight 3943", "Asiana Airlines Flight 733", "Pan Am Flight 7", "Azerbaijan Airlines Flight 217", "Bukken Bruse disaster", "PIA Flight 688", "1954 Cathay Pacific Douglas DC-4 shootdown", "1983 Avensa Douglas DC-9 crash", "National Airlines Flight 967", "2010 Polish Air Force Tu-154 crash", "China Airlines Flight 611", "Binter Mediterráneo Flight 8261", "Luxair Flight 9642", "Downend air crash", "CAAC Flight 3303", "Havørn Accident", "Atlantic Southeast Airlines Flight 529", "PIA Flight 544", "Hurum air disaster", "Capital Airlines Flight 75", "1956 Scottish Airlines Malta air disaster", "2009 Montana Pilatus PC-12 crash", "Lauda Air Flight 004", "Bar Harbor Airlines Flight 1808", "Pan Am Flight 845/26", "United Airlines Flight 585", "Lufthansa Flight 005", "Turkish Airlines Flight 158", "American Airlines Flight 965", "TANS Perú Flight 222", "Colgan Air Flight 3407", "British United Airways Flight 1030X", "Iraqi Airways Flight 163", "Eastern Air Lines Flight 304", "Linjeflyg Flight 277", "2009 Indonesian Air Force C-130H Hercules crash", "Crossair Flight 3597", "1983 TAAG Angola Airlines Boeing 737 crash", "China General Aviation Flight 7552", "LAN Chile Flight 107", "Air Florida Flight 90", "1972 Königs Wusterhausen air disaster", "Dominicana DC-9 air disaster", "American Eagle Flight 5456", "TWA Flight 3", "Bellview Airlines Flight 210", "Air Rhodesia Flight 827", "Advance Airlines Flight DR4210", "Air Midwest Flight 5481", "Sonic Blue Airways Flight 604", "Southern Cloud", "2011 Pointe-Noire Trans Air Congo An-12 crash", "Galaxy Airlines Flight 203", "PIA Flight 705", "Kaleva", "Sikorsky S-61N G-BEID crash", "Flying Tiger Line Flight 282", "Pacific Western Airlines Flight 314", "1983 British Airways Sikorsky S-61 crash", "TAP Portugal Flight 425", "United Airlines Trip 34", "Aeroflot Flight 411", "TAROM Flight 371", "Eastern Air Lines Flight 66", "EgyptAir Flight 763", "Widerøe Flight 744", "China Southwest Airlines Flight 4509", "Santa Bárbara Airlines Flight 518", "1986 British International Helicopters Chinook crash", "Texas International Airlines Flight 655", "Yeti Airlines Flight 103", "1950 Tête de l'Obiou C-54 crash", "Southern Airways Flight 242", "Varig Airlines Flight 837", "Polar 3", "China Airlines Flight 676", "Lufthansa CityLine Flight 5634", "LOT Flight 5055", "2007 Mogadishu TransAVIAexport Airlines Il-76 crash", "American Airlines Flight 383", "2002 Khankala Mi-26 crash", "BOAC Flight 911", "Iberia Airlines Flight 062", "JAT Airways Flight 769", "China Southern Airlines Flight 3456", "Air Moorea Flight 1121", "United Airlines Flight 175", "Gulf Air Flight 771", "1977 Israeli Air Force Sikorsky CH-53 Sea Stallion crash", "1998 Ariana Afghan Airlines crash", "BOAC Flight 712", "PIA Flight 268", "Florida Commuter Airlines crash", "1949 Manchester DC-3 accident", "Sosoliso Airlines Flight 1145", "1951 Ringway Dakota accident", "American Airlines Flight 11", "Crossair Flight 498", "Inex-Adria Aviopromet Flight 1308", "Canadian Pacific Air Lines Flight 402", "Corporate Airlines Flight 5966", "Aeroflot Flight 331", "West Coast Airlines Flight 956", "Divi Divi Air Flight 014", "American Airlines Flight 157", "Vladivostok Air Flight 352", "Caledonian Airways Flight 153", "Braniff Flight 250", "Northwest Airlines Flight 2", "Turkish Airlines Flight 278", "TWA Flight 529", "China Northwest Airlines Flight 2303", "Pan Am Flight 151", "Rico Linhas Aéreas Flight 4815", "Quebecair Flight 255", "Kashmir Princess", "Turkish Airlines Flight 634", "Armed Forces of the Russian Federation Flight 9064", "Pan Am Flight 214", "2006 Vladikavkaz Mi-8 crash", "ALM Flight 980", "Dash 8 landing gear incidents", "Delta Air Lines Flight 9570", "Mohawk Airlines Flight 405", "Tuninter Flight 1153", "United States Air Force SR-71 crash", "SilkAir Flight 185", "Varig Flight 254", "Aerosvit Flight 241", "Asian Spirit Flight 100", "Mirosławiec air disaster", "1972 Andes flight disaster", "Air Rhodesia Flight 825", "Air Vietnam Flight 706", "1979 Turkish Airlines Ankara crash", "Mohawk Airlines Flight 411", "USAir Flight 499", "Sabena OO-AUB Ostend crash", "TWA Flight 903", "Thai Airways International Flight 261", "New Zealand National Airways Corporation Flight 441", "Surinam Airways Flight 764", "Cameroon Airlines Flight 3701", "United Airlines Flight 389", "Air Tahoma Flight 185", "LANSA Flight 502", "Braniff Flight 352", "Aerocaribe Flight 7831", "Ariana Afghan Airlines Flight 202", "Cubana de Aviación Flight 455", "Swissair Flight 330", "Northwest Airlines Flight 4422", "Cyprus Airways Flight 284", "Pakistan International Airlines Flight 631", "SAETA Flight 232", "PSA Flight 182", "2010 Okhaldhunga Twin Otter crash", "TWA Flight 277", "Air Algérie Flight 6289", "1986 Mozambican Tupolev Tu-134 crash", "National Airlines Flight 2511", "Far Eastern Air Transport Flight 103", "Mimika Air Flight 514", "1956 Trans-Canada Air Lines accident", "Copa Airlines Flight 201", "Assassination of Juvénal Habyarimana and Cyprien Ntaryamira", "Capital Airlines Flight 67", "Saudia Flight 163", "Avianca Flight 011", "PP-VLU", "China Airlines Flight 140", "Aeroflot Flight 821", "Iberia Airlines Flight 401", "TWA Flight 513", "1950 Heathrow BEA Viking accident", "United Airlines Flight 227", "Arrow Air Flight 1285", "Indian Airlines Flight 257", "TWA Flight 260", "Libyan Arab Airlines Flight 114", "Ethiopian Airlines Flight 961", "United Airlines Flight 553", "Northwest Airlines Flight 255", "1996 Air Africa crash", "USAir Flight 427", "Argo 16", "Pan Am Flight 217", "Ansett New Zealand Flight 703", "United Airlines Flight 608", "Pan Am Flight 103", "1994 Scotland RAF Chinook crash", "TWA Flight 800", "Pan Am Flight 1-10", "BOAC Flight 781", "1936 KLM Croydon accident", "Trans-Canada Air Lines Flight 810", "Japan Airlines Flight 715", "1972 Thandwe crash", "Pan Am Flight 708", "LAPA Flight 3142", "1963 BAC One-Eleven test crash", "Capital Airlines Flight 20", "American Airlines Flight 625", "Armavia Flight 967", "Pan Am Flight 759", "UTAGE Flight 141", "Henan Airlines Flight 8387", "2009 Kenyan Beechcraft 1900D crash", "Japan Airlines Flight 446", "Thai Airways International Flight 311", "1995 Trans Service Airlift Electra crash", "R101 crash", "Eastern Air Lines Flight 980", "Cambrian Airways Liverpool crash", "Sabena Flight 548", "Spanair Flight 5022", "One-Two-GO Airlines Flight 269", "American Airlines Flight 587", "LANSA Flight 508", "TWA Flight 400", "EgyptAir Flight 864", "1959 Turkish Airlines Gatwick crash", "Alaska Airlines Flight 1866", "United Airlines Flight 615", "Dan-Air Flight 0034", "Flight 19", "2007 Balad aircraft crash", "USAir Flight 405", "Braniff Flight 542", "VASP Flight 168", "Atlantic Southeast Airlines Flight 2311", "Civil Air Transport Flight B-908", "United Airlines Flight 409", "Vietnam Airlines Flight 815", "Pinnacle Airlines Flight 3701", "1961 Turkish Airlines Ankara crash", "Avensa Flight 358", "Trans-Canada Air Lines Flight 831", "American Airlines Flight 1", "Atlantic Coast Airlines Flight 6291", "United Airlines Flight 823", "Cal Poly football team plane crash", "Agni Air Flight 101", "EgyptAir Flight 648", "1933 United Airlines Boeing 247 mid-air explosion", "United Airlines Flight 2860", "Royal Air Force Nimrod XV230", "Turkish Airlines Flight 345" ], "function": "<", "commonness": -15.930320602093794, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "55^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "55", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.survivors", "friendly_name": "Survivors" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 < 55)\n?x0 :aviation.airliner_accident.survivors ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 148000400, "question": "how many aviation incidents did less than 55 survivors make it through?", "answer": [ "TWA Flight 800", "TWA Flight 128", "TWA Flight 903", "UTair Flight 471", "TWA Flight 277", "Cyprus Airways Flight 284", "China Southwest Airlines Flight 4509", "United Airlines Flight 175", "Royal Air Force Nimrod XV230", "2007 Paramount Airlines Mil Mi-8 crash", "Braathens SAFE Flight 239", "Vietnam Airlines Flight 815", "Holtaheia Accident", "Japan Airlines Flight 715", "British European Airways Flight 706", "Iraqi Airways Flight 163", "1977 Israeli Air Force Sikorsky CH-53 Sea Stallion crash", "Turkish Airlines Flight 5904", "Air Vietnam Flight 706", "Turkish Airlines Flight 278", "Miss Macao", "Lufthansa Flight 005", "Air China Flight 129", "China Northern Airlines Flight 6136", "LOT Flight 7", "2007 Mogadishu TransAVIAexport Airlines Il-76 crash", "Varig Airlines Flight 837", "United Airlines Flight 389", "Pakistan International Airlines Flight 631", "Avensa Flight 358", "China Southern Airlines Flight 3943", "PIA Flight 268", "Avianca Flight 410", "Sabena OO-AUB Ostend crash", "Widerøe Flight 710", "2010 Polish Air Force Tu-154 crash", "Sikorsky S-61N G-BEID crash", "BOAC Flight 712", "United Airlines Flight 823", "1956 Scottish Airlines Malta air disaster", "Divi Divi Air Flight 014", "Dan-Air Flight 0034", "Pan Am Flight 1-10", "Capital Airlines Flight 20", "Kam Air Flight 904", "1995 Trans Service Airlift Electra crash", "Los Angeles Airways Flight 841", "Air Rhodesia Flight 825", "Delta Air Lines Flight 9570", "Avianca Flight 203", "TWA Flight 513", "Bellview Airlines Flight 210", "Corporate Airlines Flight 5966", "Thai Airways International Flight 311", "Air Moorea Flight 1121", "Aeroflot Flight 411", "China Airlines Flight 206", "PSA Flight 182", "KLM Cityhopper Flight 433", "Turkish Airlines Flight 158", "Pan Am Flight 7", "Garuda Indonesia Flight 152", "United Airlines Flight 6", "Atlantic Southeast Airlines Flight 529", "Cameroon Airlines Flight 3701", "1972 Königs Wusterhausen air disaster", "2008 Spain Pilatus PC-6 crash", "2001 Avjet Aspen crash", "Santa Bárbara Airlines Flight 518", "China Southern Airlines Flight 3456", "1981 Panamanian Air Force Twin Otter crash", "Flying Tiger Line Flight 739", "1996 Air Africa crash", "PIA Flight 544", "Saudia Flight 163", "Aeroflot Flight 7425", "Iberia Airlines Flight 062", "United Airlines Flight 553", "United Airlines Flight 297", "Eastern Air Lines Flight 375", "Pan Am Flight 103", "2006 Falsterbo Swedish Coast Guard crash", "PauknAir Flight 4101", "2010 Romanian Air Force Antonov An-2 crash", "United Airlines Flight 2860", "Agadir air disaster", "Sonic Blue Airways Flight 604", "LOT Polish Airlines Flight 165", "Linjeflyg Flight 277", "Braniff Flight 250", "The Day the Music Died", "One-Two-GO Airlines Flight 269", "KLM Flight 633", "Pan Am Flight 845/26", "R101 crash", "Quebecair Flight 255", "United Airlines Trip 34", "2009 Indonesian Air Force C-130H Hercules crash", "Korean Air Flight 801", "2002 Khankala Mi-26 crash", "Pan Am Flight 217", "United Airlines Flight 585", "VASP Flight 168", "Comair Flight 3272", "China Northwest Airlines Flight 2303", "Varig Flight 254", "American Airlines Flight 625", "1959 Turkish Airlines Gatwick crash", "2008 Biggin Hill Cessna Citation crash", "Mohawk Airlines Flight 405", "Kano air disaster", "Ethiopian Airlines Flight 961", "Asian Spirit Flight 100", "2009 Montana Pilatus PC-12 crash", "Stockport air disaster", "Heerodden helicopter accident", "Northwest Orient Airlines Flight 710", "Northeast Airlines Flight 946", "Binter Mediterráneo Flight 8261", "China Airlines Flight 611", "Prinair Flight 191", "John F. Kennedy, Jr. plane crash", "Pulkovo Aviation Enterprise Flight 612", "Swissair Flight 111", "National Airlines Flight 2511", "Lovettsville air disaster", "United Airlines Flight 629", "Ariana Afghan Airlines Flight 202", "US Airways Flight 1016", "Trans-Canada Air Lines Flight 831", "EgyptAir Flight 763", "University of Evansville men's basketball team plane crash", "Flight 19", "Armavia Flight 967", "Henan Airlines Flight 8387", "Luxair Flight 9642", "1983 Avensa Douglas DC-9 crash", "Lufthansa CityLine Flight 5634", "XL Airways Germany Flight 888T", "Armed Forces of the Russian Federation Flight 9064", "Pan Am Flight 151", "Polar 3", "BOAC Flight 911", "Comair Flight 5191", "Bar Harbor Airlines Flight 1808", "Sosoliso Airlines Flight 1145", "El Al Flight 402", "Pan Am Flight 806", "Oklahoma State University men's basketball team plane crash", "Canadian Pacific Air Lines Flight 402", "Japan Airlines Flight 123", "West Coast Airlines Flight 956", "Thai Airways International Flight 261", "TWA Flight 3", "Mohawk Airlines Flight 411", "Braniff Flight 352", "Lionair Flight 602", "LAN Chile Flight 107", "Air Rhodesia Flight 827", "CAAC Flight 3303", "Siberia Airlines Flight 1812", "2010 Bandundu Filair Let L-410 crash", "Turkish Airlines Flight 452", "Florida Commuter Airlines crash", "Pan Am Flight 202", "1956 Trans-Canada Air Lines accident", "Air Florida Flight 90", "Dominicana DC-9 air disaster", "EgyptAir Flight 990", "1979 Turkish Airlines Ankara crash", "Dana Air Flight 992", "Spanair Flight 5022", "Assassination of Juvénal Habyarimana and Cyprien Ntaryamira", "Vladivostok Air Flight 352", "Kashmir Princess", "Mohawk Airlines Flight 121", "Northwest Orient Airlines Flight 2", "Alitalia Flight 4128", "Garuda Indonesia Flight 150", "TWA Flight 400", "1974 Turkish Airlines Izmir crash", "Civil Air Transport Flight B-908", "1963 BAC One-Eleven test crash", "Argo 16", "Delta Air Lines Flight 191", "Texas International Airlines Flight 655", "TWA Flight 529", "Malév Flight 240", "Cubana de Aviación Flight 455", "Aerosvit Flight 241", "PMTair Flight 241", "Caledonian Airways Flight 153", "Air Midwest Flight 5481", "Atlantic Southeast Airlines Flight 2311", "Libyan Arab Airlines Flight 114", "1949 Manchester DC-3 accident", "Agni Air Flight 101", "LANSA Flight 508", "Asiana Airlines Flight 733", "Surinam Airways Flight 764", "Atlantic Airways Flight 670", "Eastern Air Lines Flight 21", "United Airlines Flight 521", "SilkAir Flight 185", "Aeroflot Flight 418", "United Airlines Cheyenne Crash", "Asiana Airlines Flight 991", "Turkish Airlines Flight 634", "Aeroflot Flight 821", "National Airlines Flight 967", "2004 Russian aircraft bombings", "Northwest Airlines Flight 2", "Arrow Air Flight 1285", "1958 Central African Airways plane crash", "Far Eastern Air Transport Flight 103", "Aeroflot Flight 3352", "PIA Flight 705", "Aerocaribe Flight 7831", "Air Algérie Flight 6289", "Indian Airlines Flight 257", "United Airlines Flight 608", "Winter Hill air disaster", "SAETA Flight 232", "KLM Flight 607-E", "Galaxy Airlines Flight 203", "Southern Cloud", "Cambrian Airways Liverpool crash", "Crossair Flight 3597", "Kaleva", "1998 Ariana Afghan Airlines crash", "Widerøe Flight 744", "Alaska Airlines Flight 1866", "Linjeflyg Flight 618", "American Eagle Flight 4184", "New Zealand National Airways Corporation Flight 441", "2008 Los Roques archipelago Transaven Let L-410 crash", "Eastern Air Lines Flight 304", "PIA Flight 688", "BOAC Flight 781", "Pinnacle Airlines Flight 3701", "Royal Air Maroc Flight 630", "1950 Tête de l'Obiou C-54 crash", "Indian Airlines Flight 113", "American Eagle Flight 5456", "Korean Air Lines Flight 007", "USAir Flight 499", "China Airlines Flight 140", "EgyptAir Flight 864", "Air New England Flight 248", "Hurum air disaster", "Gulf Air Flight 771", "United Airlines Flight 227", "Los Angeles Airways Flight 417", "Azerbaijan Airlines Flight 217", "TAME Flight 120", "United Airlines Flight 266", "1954 Cathay Pacific Douglas DC-4 shootdown", "Mimika Air Flight 514", "Braniff Flight 542", "Iberia Airlines Flight 401", "1958 Bristol Britannia 312 crash", "1983 TAAG Angola Airlines Boeing 737 crash", "Vnukovo Airlines Flight 2801", "1987 Indianapolis Ramada Inn A-7D Corsair II Crash", "Colgan Air Flight 3407", "China Eastern Airlines Flight 5210", "Canadian Pacific Air Lines Flight 21", "United Airlines Flight 615", "Havørn Accident", "South African Airways Flight 201", "Copa Airlines Flight 201", "Japan Airlines Flight 446", "United Airlines Flight 409", "American Airlines Flight 383", "American Airlines Flight 320", "Mandala Airlines Flight 091", "Atlasjet Flight 4203", "TWA Flight 841 of 1974", "Crossair Flight 498", "Transbrasil Flight 303", "British United Airways Flight 1030X", "China Airlines Flight 676", "American Airlines Flight 157", "Air Ontario Flight 1363", "LAPA Flight 3142", "Sudan Airways Flight 139", "USAir Flight 427", "American Airlines Flight 1", "1946 Antarctica PBM Mariner crash", "Tuninter Flight 1153", "UTAGE Flight 141", "1933 United Airlines Boeing 247 mid-air explosion", "Alas Chiricanas Flight 901", "Northwest Airlines Flight 255", "2009 Andhra Pradesh Chief Minister helicopter crash", "United Airlines Flight 610", "JAT Airways Flight 769", "Kvitbjørn disaster", "Ansett New Zealand Flight 703", "Pan Am Flight 812", "Aeroflot Flight 331", "Imperial Airlines Flight 201/8", "Northwest Orient Airlines Flight 706", "Swissair Flight 330", "Flying Tiger Line Flight 282", "2008 Guam B-52 crash", "Philippine Airlines Flight 158", "1983 British Airways Sikorsky S-61 crash", "SA de Transport Aérien Flight 730", "TAROM Flight 371", "Eastern Air Lines Flight 66", "TWA Flight 514", "Capital Airlines Flight 75", "Pan Am Flight 708", "1994 Scotland RAF Chinook crash", "Northwest Airlines Flight 4422", "Turkish Airlines Flight 345", "B-25 Empire State Building crash", "2011 Tawang Town Mil Mi-17 crash", "1961 Turkish Airlines Ankara crash", "PBA Flight 1039", "Rico Linhas Aéreas Flight 4815", "PP-VLU", "USAir Flight 405", "Turkish Airlines Flight 981", "Iran Aseman Airlines Flight 746", "Atlantic Coast Airlines Flight 6291", "Eastern Air Lines Flight 980", "Avianca Flight 011", "Cal Poly football team plane crash", "1950 Heathrow BEA Viking accident", "Iberia Airlines Flight 610", "2007 Balad aircraft crash", "LOT Flight 5055", "Bukken Bruse disaster", "Continental Express Flight 2574", "Pan Am Flight 214", "Inex-Adria Aviopromet Flight 1308", "Widerøe Flight 839", "TAM Transportes Aéreos Regionais Flight 402", "1933 Imperial Airways Diksmuide crash", "TANS Perú Flight 222", "Air Tahoma Flight 185", "2006 Vladikavkaz Mi-8 crash", "Scandinavian Airlines System Flight 933", "1986 Mozambican Tupolev Tu-134 crash", "2009 Makhachkala Il-76 collision", "Flash Airlines Flight 604", "1972 Andes flight disaster", "Pan Am Flight 759", "United States Air Force SR-71 crash", "1951 Ringway Dakota accident", "2010 Interisland Airlines Crash", "West Caribbean Airways Flight 708", "Varig Flight 820", "TWA Flight 260", "Pacific Western Airlines Flight 314", "American Airlines Flight 587", "Spair Airlines Flight PAR-3601", "Kenya Airways Flight 431", "Downend air crash", "Dash 8 landing gear incidents", "2009 Kenyan Beechcraft 1900D crash", "Lauda Air Flight 004", "1979 Garuda Fokker F28 crash", "2010 Okhaldhunga Twin Otter crash", "Trans-Canada Air Lines Flight 810", "Southern Airways Flight 242", "LANSA Flight 502", "JAT Flight 367", "TAP Portugal Flight 425", "1972 Thandwe crash", "EgyptAir Flight 648", "Air New Zealand Flight 901", "Indian Airlines Flight 605", "Sabena Flight 548", "2007 Blue Angels South Carolina crash", "ALM Flight 980", "PIA Flight 740", "1986 British International Helicopters Chinook crash", "Llandow air disaster", "Capital Airlines Flight 67", "China General Aviation Flight 7552", "American Airlines Flight 11", "China Airlines Flight 358", "Mirosławiec air disaster", "Continental Airlines Flight 1713", "1936 KLM Croydon accident", "American Airlines Flight 965", "2011 Pointe-Noire Trans Air Congo An-12 crash", "UTA Flight 772", "Advance Airlines Flight DR4210", "Pacific Air Lines Flight 773", "Varig Flight 797", "Yeti Airlines Flight 103" ], "function": "<", "commonness": -15.930320602093794, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "aviation.airliner_accident", "class": "aviation.airliner_accident", "friendly_name": "Aviation incident", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "55^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "55", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "aviation.airliner_accident.survivors", "friendly_name": "Survivors" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :aviation.airliner_accident . \nFILTER (?x1 < 55)\n?x0 :aviation.airliner_accident.survivors ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 149000000, "question": "list all loudspeakers with a weight at least 82.0 kgs.", "answer": [ "Von Schweikert VR-9SE", "Usher CP-8871", "Dynaudio Evidence Master", "Kef Muon", "Focal Grande Utopia EM", "Von Schweikert VR-11SE", "Hansen The Prince V2", "Wilson Audio Watt/Puppy System 8", "Hansen The Emperor", "Verity Leonore", "Bowers & Wilkins 801D", "Verity Audio Lohengrin II", "Wilson Audio Sasha", "Wilson Audio MAXX 3", "Usher CP-8571", "KEF Reference 207/2", "Magico Model 6", "Hansen The Knight", "Wilson Audio Alexandria X-2", "Aquila", "Verity Parsifal Ovation", "Focal Scala Utopia", "Audio Physic Kronos", "Verity Audio Sarastro II", "Rockport Mira Grand", "Dynaudio Consequence", "Rockport Arrakis", "Magico Ultimate II", "Dynaudio Evidence Temptation", "Rockport Altair", "Bowers & Wilkins 800D", "Usher BE-20", "Magico M5", "Magico Mini II", "Dali MegaLine III", "Usher BE-10", "Hansen The King V2", "Rockport Ankaa" ], "function": ">=", "commonness": -18.414345215815008, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.loudspeaker", "class": "base.audiobase.loudspeaker", "friendly_name": "Loudspeaker", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "82.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "82.0", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :base.audiobase.loudspeaker . \nFILTER (?x1 >= 82.0)\n?x0 :base.audiobase.audio_equipment.weight ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 149000100, "question": "which loudspeakers weigh equal to or more than 82.0 kg?", "answer": [ "Verity Leonore", "Kef Muon", "Usher CP-8571", "Dynaudio Evidence Temptation", "Hansen The King V2", "Focal Grande Utopia EM", "Von Schweikert VR-11SE", "Dynaudio Evidence Master", "Hansen The Prince V2", "Wilson Audio Watt/Puppy System 8", "Magico Mini II", "Verity Audio Lohengrin II", "Audio Physic Kronos", "Bowers & Wilkins 800D", "Magico M5", "Von Schweikert VR-9SE", "Rockport Altair", "Focal Scala Utopia", "Magico Model 6", "Usher BE-20", "Usher BE-10", "Dynaudio Consequence", "Usher CP-8871", "Dali MegaLine III", "Hansen The Knight", "Aquila", "KEF Reference 207/2", "Rockport Ankaa", "Magico Ultimate II", "Wilson Audio Sasha", "Wilson Audio MAXX 3", "Hansen The Emperor", "Wilson Audio Alexandria X-2", "Verity Parsifal Ovation", "Rockport Mira Grand", "Rockport Arrakis", "Bowers & Wilkins 801D", "Verity Audio Sarastro II" ], "function": ">=", "commonness": -18.414345215815008, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": 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states of america in history?", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 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:meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000302, "question": "how many tropical cyclones affected the united states in history?", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000400, "question": "give me the number of tropical cyclones occurred in the united states of america.", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000401, "question": "give me the number of tropical cyclones occurred in the us.", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000402, "question": "give me the number of tropical cyclones occurred in the united states.", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000500, "question": "the united states of america has been hit by how many tropical cyclones?", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000501, "question": "the us has been hit by how many tropical cyclones?", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "meteorology.cyclone_affected_area", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "meteorology.tropical_cyclone.affected_areas", "friendly_name": "Affected areas" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :meteorology.tropical_cyclone . \nVALUES ?x1 { :en.united_states_of_america } \n?x0 :meteorology.tropical_cyclone.affected_areas ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 151000502, "question": "the united states has been hit by how many tropical cyclones?", "answer": [ "24" ], "function": "count", "commonness": -9.954693910239504, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "meteorology.tropical_cyclone", "class": "meteorology.tropical_cyclone", "friendly_name": "Tropical Cyclone", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": 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"count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 152000100, "question": "the album anne features how many tracks?", "answer": [ "15" ], "function": "count", "commonness": -11.490447809019981, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.release_track", "class": "music.release_track", "friendly_name": "Release track", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 152000200, "question": "on the album anne, how many tracks are there?", "answer": [ "15" ], "function": "count", "commonness": -11.490447809019981, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.release_track", "class": "music.release_track", "friendly_name": "Release track", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 152000300, "question": "how many tracks are on the album anne?", "answer": [ "15" ], "function": "count", "commonness": -11.490447809019981, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.release_track", "class": "music.release_track", "friendly_name": "Release track", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 152000400, "question": "how many tracks are contained in anne?", "answer": [ "15" ], "function": "count", "commonness": -11.490447809019981, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.release_track", "class": "music.release_track", "friendly_name": "Release track", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 152000500, "question": "how many songs are on the album anne?", "answer": [ "15" ], "function": "count", "commonness": -11.490447809019981, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "music.release_track", "class": "music.release_track", "friendly_name": "Release track", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "m.03b7wt1", "class": "music.release", "friendly_name": "Anne", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "music.release.track_list", "friendly_name": "Track list" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :music.release_track . \nVALUES ?x1 { :m.03b7wt1 } \n?x1 :music.release.track_list ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 153000000, "question": "the book the structure of evolutionary theory contains how many references?", "answer": [ "2" ], "function": "count", "commonness": -19.583634519648232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.cited_work", "class": "book.cited_work", "friendly_name": "Cited work", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.the_structure_of_evolutionary_theory", "class": "book.scholarly_work", "friendly_name": "The Structure of Evolutionary Theory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.scholarly_work.works_cited", "friendly_name": "Works cited" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.cited_work . \nVALUES ?x1 { :en.the_structure_of_evolutionary_theory } \n?x1 :book.scholarly_work.works_cited ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 153000100, "question": "the the structure of evolutionary theory cited how many works?", "answer": [ "2" ], "function": "count", "commonness": -19.583634519648232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.cited_work", "class": "book.cited_work", "friendly_name": "Cited work", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.the_structure_of_evolutionary_theory", "class": "book.scholarly_work", "friendly_name": "The Structure of Evolutionary Theory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.scholarly_work.works_cited", "friendly_name": "Works cited" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.cited_work . \nVALUES ?x1 { :en.the_structure_of_evolutionary_theory } \n?x1 :book.scholarly_work.works_cited ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 153000200, "question": "how many works are cited by the structure of evolutionary theory?", "answer": [ "2" ], "function": "count", "commonness": -19.583634519648232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.cited_work", "class": "book.cited_work", "friendly_name": "Cited work", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.the_structure_of_evolutionary_theory", "class": "book.scholarly_work", "friendly_name": "The Structure of Evolutionary Theory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.scholarly_work.works_cited", "friendly_name": "Works cited" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.cited_work . \nVALUES ?x1 { :en.the_structure_of_evolutionary_theory } \n?x1 :book.scholarly_work.works_cited ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 153000300, "question": "what is the number of works cited by the structure of evolutionary theory?", "answer": [ "2" ], "function": "count", "commonness": -19.583634519648232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.cited_work", "class": "book.cited_work", "friendly_name": "Cited work", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.the_structure_of_evolutionary_theory", "class": "book.scholarly_work", "friendly_name": "The Structure of Evolutionary Theory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.scholarly_work.works_cited", "friendly_name": "Works cited" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :book.cited_work . \nVALUES ?x1 { :en.the_structure_of_evolutionary_theory } \n?x1 :book.scholarly_work.works_cited ?x0 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 153000400, "question": "how many references are there in the book the structure of evolutionary theory?", "answer": [ "2" ], "function": "count", "commonness": -19.583634519648232, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "book.cited_work", "class": "book.cited_work", "friendly_name": "Cited work", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.the_structure_of_evolutionary_theory", "class": "book.scholarly_work", "friendly_name": "The Structure of Evolutionary Theory", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "book.scholarly_work.works_cited", "friendly_name": "Works cited" } ] }, 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?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000302, "question": "who is the broadcast producer of america idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "america idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000400, "question": "who made american idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "American Idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000401, "question": "who made idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000402, "question": "who made america idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "america idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000500, "question": "who produced american idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "American Idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000501, "question": "who produced idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 157000502, "question": "who produced america idol?", "answer": [ "19 Entertainment" ], "function": "none", "commonness": -11.985498092691113, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "broadcast.producer", "class": "broadcast.producer", "friendly_name": "Broadcast Producer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.american_idol", "class": "broadcast.content", "friendly_name": "america idol", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.producer.produces", "friendly_name": "Produces" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :broadcast.producer\n VALUES ?x1 { :m.01b7h8 }\n ?x0 :broadcast.producer.produces ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 158000000, "question": "what is the function of white house?", "answer": [ "Palace", "Office", "Residential building" ], "function": "none", "commonness": -11.732297848230546, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building_function", "class": "architecture.building_function", "friendly_name": "Building function", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.white_house", "class": "architecture.building", "friendly_name": "White House", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building_function.buildings", "friendly_name": "Buildings" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.building_function\n VALUES ?x1 { :m.081sq }\n ?x0 :architecture.building_function.buildings ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 158000100, "question": "the white house is used for what purpose?", "answer": [ "Residential building", "Office", "Palace" ], "function": "none", "commonness": -11.732297848230546, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building_function", "class": "architecture.building_function", "friendly_name": "Building function", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.white_house", "class": "architecture.building", "friendly_name": "White House", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building_function.buildings", "friendly_name": "Buildings" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.building_function\n VALUES ?x1 { :m.081sq }\n ?x0 :architecture.building_function.buildings ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 158000200, "question": "what is the use of the white house?", "answer": [ "Office", "Residential building", "Palace" ], "function": "none", "commonness": -11.732297848230546, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building_function", "class": "architecture.building_function", "friendly_name": "Building function", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.white_house", "class": "architecture.building", "friendly_name": "White House", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building_function.buildings", "friendly_name": "Buildings" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.building_function\n VALUES ?x1 { :m.081sq }\n ?x0 :architecture.building_function.buildings ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 158000300, "question": "what purposes does the white house have justified its existence?", "answer": [ "Residential building", "Palace", "Office" ], "function": "none", "commonness": -11.732297848230546, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building_function", "class": "architecture.building_function", "friendly_name": "Building function", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.white_house", "class": "architecture.building", "friendly_name": "White House", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building_function.buildings", "friendly_name": "Buildings" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.building_function\n VALUES ?x1 { :m.081sq }\n ?x0 :architecture.building_function.buildings ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 158000400, "question": "what is the white house used for?", "answer": [ "Residential building", "Office", "Palace" ], "function": "none", "commonness": -11.732297848230546, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.building_function", "class": "architecture.building_function", "friendly_name": "Building function", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.white_house", "class": "architecture.building", "friendly_name": "White House", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.building_function.buildings", "friendly_name": "Buildings" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.building_function\n VALUES ?x1 { :m.081sq }\n ?x0 :architecture.building_function.buildings ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000000, "question": "can you list for me all of tourist attractions available in the united states of america?", "answer": [ "Centennial Olympic Park", "Soak City", "USS Silversides", "Six Flags New England", "Waldameer Park", "Action Park", "Philadelphia Museum of Art", "Wild River Country", "Busch Gardens Tampa Bay", "Fun Spot Amusement Park & Zoo", "Forsyth Park", "Islands of Adventure", "Six Flags Fiesta Texas", "Fisher Building", "Bowcraft Amusement Park", "Squaw Valley", "Magic Springs and Crystal Falls", "Silver Dollar City", "Old Point Loma Lighthouse", "Brandywine Zoo", "Disney's Animal Kingdom", "Pullen Park", "Rapids Water Park", "Crown Center", "Asian Art Museum of San Francisco", "Mammoth Cave National Park", "Darien Lake", "Wet 'n Wild Orlando", "Mesa Verde National Park", "Clementon Amusement Park", "DelGrosso's Amusement Park", "Savannah Victorian Historic District", "Roger Williams Park Zoo", "Pleasure Island", "Hollywood Boulevard", "Indiana Beach", "Oceans of Fun", "Mount Hood", "Slater Mill Historic Site", "Alamo Mission in San Antonio", "Grand Canyon", "Georgia Aquarium", "Louisville Zoo", "Enchanted Forest", "Sesame Place", "Salem Willows", "Playland", "Woodruff Arts Center", "Hersheypark", "Barstow Route 66 Mother Road Museum", "New Haven Green", "Stevens Institute of Technology", "Thomas Jefferson Memorial", "Opryland USA", "Hollywood Sign", "Prickett's Fort State Park", "Delaware Art Museum", "Dorney Park & Wildwater Kingdom", "Harry P. Leu Gardens", "Ghost Town in the Sky", "Museum of Art of Puerto Rico", "Yosemite National Park", "Chinatown", "Alex Theatre", "Copper Harbor Light", "Universal Orlando", "Georgia Dome", "Luxor Las Vegas", "Land of Make Believe", "Nickelodeon Universe", "Splashtown San Antonio", "Fox Theatre", "DisneyQuest", "Great Escape", "Denver Botanic Gardens", "Six Flags Over Texas", "Fort Klock", "New England Aquarium", "Solomon R. Guggenheim Museum", "Twin Peaks", "Anacapa Island", "Discovery Cove", "Yellowstone National Park", "Angel Island", "Naomi Institute", "Peoria Civic Center", "Mary and Leigh Block Museum of Art", "Bodega Bay", "Magic Kingdom", "Splash Adventure", "Six Flags Great America", "Landmark Theatre", "Shedd Aquarium", "Discovery World", "Splish Splash", "Crissy Field", "Air Zoo", "Napa Valley AVA", "Disney's River Country", "Summer Waves", "Water Country", "Cannery Row", "Bunker Beach", "Six Flags Great Adventure", "Lakemont Park", "Idlewild and Soak Zone", "Statue of Liberty", "Mall of America", "Hawaiian Falls Roanoke", "Madison Square Garden", "Independence Pass", "Dolby Theatre", "Lake Winnepesaukah", "Pilot Butte", "Mazda Raceway Laguna Seca", "Land of Oz", "Daytona Lagoon", "Tweetsie Railroad", "Wet 'n Wild Emerald Pointe", "White House", "Flaming Gorge Reservoir", "Alcatraz Island", "Chesapeake and Ohio Canal National Historical Park", "Oregon Garden", "XIT Museum", "Aquatica", "Alaska Zoo", "Mystery Spot", "Adventureland", "Enchanted Forest", "Mount Mansfield", "Science Museum of Minnesota", "Bushnell Center for the Performing Arts", "Fun-World", "Palisades Amusement Park", "Eleutherian College", "Busch Gardens Williamsburg", "Las Cascadas Water Park", "Downtown Disney", "Elliott Museum", "Brooklyn Botanic Garden", "University of Louisiana at Lafayette", "Art Institute of Chicago", "Joyland Amusement Park", "Morey's Piers", "Revere Beach", "Savannah River", "Downtown Disney", "Space Needle", "MarineLand", "Institute of American Indian Arts", "USS Lionfish", "Cliff's Amusement Park", "Camden Park", "Wild Waves Theme Park", "Rhode Island Convention Center", "Liberty Bell", "Epcot", "Water Wizz", "Detroit Zoo", "Beech Bend Park", "Collegiate Peaks", "Splash in the Boro", "Zoo Atlanta", "Birmingham Zoo", "Michigan's Adventure", "Waterville USA", "Hollywood Walk of Fame", "Six Flags Over Georgia", "Carowinds", "Kentucky Kingdom", "Museum of Contemporary Art Detroit", "Adirondack Mountains", "Bailey House Museum", "Nu‘uanu Pali", "Geauga Lake", "Gunstock Mountain Resort", "Hilltop Ski Area", "Mendenhall Glacier", "Binder Park Zoo", "Luna Park, Coney Island", "Kenai Fjords National Park", "Tempe Town Lake", "Wild Waters", "ESPN Wide World of Sports Complex", "San Diego Zoo Safari Park", "Santa's Village", "Adventureland", "SplashTown Houston", "Six Flags White Water", "Lake Pepin", "Camelbeach Waterpark", "Holiday World & Splashin' Safari", "American Swedish Institute", "Kings Island", "San Francisco Museum of Modern Art", "Warner Theatre", "Jewish Theological Seminary of America Library", "Wannado City", "Pennsylvania Academy of the Fine Arts", "Victoria Theatre", "Six Flags America", "Pebble Beach Golf Links", "Arkansas Post National Memorial", "Funtown Splashtown USA", "Knoebels Amusement Resort", "Meaher State Park", "Grand Traverse Bay", "Disney's Hollywood Studios", "Zoombezi Bay", "Worlds of Fun", "Marine Corps War Memorial", "Knott's Berry Farm", "Fremont Street Experience", "Las Vegas Strip", "Cedar Point", "New Jersey Performing Arts Center", "Baker Beach", "Assateague Island National Seashore", "Ryman Auditorium", "TCL Chinese Theatre", "Dunkin' Donuts Center", "University of Wisconsin-Oshkosh", "NRH2O", "Amerind Foundation", "Dinosaur World", "Empire State Building", "Kings Dominion", "Disney's Blizzard Beach", "Belmont Park", "Comerica Park", "Newport Casino", "Disney's Typhoon Lagoon", "Hacienda Buena Vista", "Santana Row", "Sandcastle Waterpark", "Kemah Boardwalk", "Bay Beach Amusement Park", "Polynesian Cultural Center", "Hawk Mountain Sanctuary", "Memphis Kiddie Park", "Freedomland U.S.A.", "Olvera Street", "Walt Disney Concert Hall", "Mountain Park", "Lagoon Amusement Park", "Freestyle Music Park", "Big Powderhorn Mountain", "Sea Pines Resort", "Naval Air Station Pensacola", "Splash Down Waterpark", "Conneaut Lake Park", "Durango–La Plata County Airport", "Schlitterbahn New Braunfels", "Western American Railroad Museum", "Los Alamos", "Los Angeles County Museum of Art", "Canobie Lake Park", "Wild Adventures", "Myrtle Waves", "Santa Cruz Island", "Lookout Mountain", "Tillicum Village", "La Fortaleza", "Dallas Arboretum and Botanical Garden", "White Water Bay", "University of North Dakota" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000001, "question": "can you list for me all of tourist attractions available in the us?", "answer": [ "Land of Make Believe", "Mesa Verde National Park", "Olvera Street", "USS Lionfish", "Alaska Zoo", "Morey's Piers", "DelGrosso's Amusement Park", "Indiana Beach", "Warner Theatre", "Adventureland", "Savannah Victorian Historic District", "Six Flags Over Georgia", "Beech Bend Park", "Magic Kingdom", "Copper Harbor Light", "Disney's Animal Kingdom", "Alex Theatre", "Savannah River", "Los Alamos", "Naomi Institute", "Pennsylvania Academy of the Fine Arts", "Binder Park Zoo", "DisneyQuest", "Chesapeake and Ohio Canal National Historical Park", "White Water Bay", "Delaware Art Museum", "Joyland Amusement Park", "Kentucky Kingdom", "Six Flags New England", "Darien Lake", "Brooklyn Botanic Garden", "Solomon R. Guggenheim Museum", "Kenai Fjords National Park", "MarineLand", "Knoebels Amusement Resort", "Waldameer Park", "Kings Dominion", "Louisville Zoo", "Six Flags White Water", "Lakemont Park", "Centennial Olympic Park", "Newport Casino", "XIT Museum", "Lookout Mountain", "Art Institute of Chicago", "Wild Waves Theme Park", "Durango–La Plata County Airport", "Old Point Loma Lighthouse", "Idlewild and Soak Zone", "Museum of Contemporary Art Detroit", "Thomas Jefferson Memorial", "Independence Pass", "Las Cascadas Water Park", "Memphis Kiddie Park", "Funtown Splashtown USA", "San Diego Zoo Safari Park", "Gunstock Mountain Resort", "Sandcastle Waterpark", "Walt Disney Concert Hall", "Rhode Island Convention Center", "Wild Adventures", "Universal Orlando", "Flaming Gorge Reservoir", "Stevens Institute of Technology", "Dunkin' Donuts Center", "Wild River Country", "Camelbeach Waterpark", "Dallas Arboretum and Botanical Garden", "Mammoth Cave National Park", "Empire State Building", "Jewish Theological Seminary of America Library", "Six Flags Over Texas", "Opryland USA", "Playland", "Discovery World", "Worlds of Fun", "Oregon Garden", "Forsyth Park", "Enchanted Forest", "Mazda Raceway Laguna Seca", "Mount Hood", "Santa Cruz Island", "Las Vegas Strip", "Discovery Cove", "University of Wisconsin-Oshkosh", "Wet 'n Wild Orlando", "Kings Island", "Schlitterbahn New Braunfels", "Wannado City", "Yosemite National Park", "Elliott Museum", "Bunker Beach", "USS Silversides", "San Francisco Museum of Modern Art", "Santana Row", "Ryman Auditorium", "Tweetsie Railroad", "Busch Gardens Tampa Bay", "Philadelphia Museum of Art", "Myrtle Waves", "Bay Beach Amusement Park", "Western American Railroad Museum", "Hersheypark", "Sesame Place", "Dolby Theatre", "Birmingham Zoo", "Big Powderhorn Mountain", "Great Escape", "New Jersey Performing Arts Center", "Lagoon Amusement Park", "Ghost Town in the Sky", "Freestyle Music Park", "Summer Waves", "Disney's Blizzard Beach", "American Swedish Institute", "Zoombezi Bay", "Tillicum Village", "Crown Center", "Twin Peaks", "Mount Mansfield", "Epcot", "Luna Park, Coney Island", "Space Needle", "Pebble Beach Golf Links", "Mall of America", "Wet 'n Wild Emerald Pointe", "Fremont Street Experience", "Kemah Boardwalk", "Land of Oz", "Squaw Valley", "Splashtown San Antonio", "Downtown Disney", "Barstow Route 66 Mother Road Museum", "Brandywine Zoo", "Meaher State Park", "Bowcraft Amusement Park", "Peoria Civic Center", "Angel Island", "Arkansas Post National Memorial", "University of North Dakota", "New Haven Green", "Marine Corps War Memorial", "Santa's Village", "TCL Chinese Theatre", "Hawaiian Falls Roanoke", "Holiday World & Splashin' Safari", "Museum of Art of Puerto Rico", "Alcatraz Island", "Dorney Park & Wildwater Kingdom", "Collegiate Peaks", "Clementon Amusement Park", "Polynesian Cultural Center", "Air Zoo", "Salem Willows", "Victoria Theatre", "Bodega Bay", "Luxor Las Vegas", "Geauga Lake", "Soak City", "Asian Art Museum of San Francisco", "Water Wizz", "Alamo Mission in San Antonio", "NRH2O", "Water Country", "Cliff's Amusement Park", "Fox Theatre", "Adventureland", "Daytona Lagoon", "University of Louisiana at Lafayette", "La Fortaleza", "Slater Mill Historic Site", "Silver Dollar City", "Wild Waters", "Hollywood Boulevard", "Los Angeles County Museum of Art", "Disney's Hollywood Studios", "Conneaut Lake Park", "Splish Splash", "Grand Canyon", "Six Flags Fiesta Texas", "Lake Pepin", "Detroit Zoo", "Mendenhall Glacier", "Grand Traverse Bay", "Revere Beach", "Busch Gardens Williamsburg", "Liberty Bell", "Nu‘uanu Pali", "Tempe Town Lake", "Denver Botanic Gardens", "Baker Beach", "Zoo Atlanta", "Napa Valley AVA", "Hollywood Sign", "White House", "Palisades Amusement Park", "Pullen Park", "Disney's River Country", "Canobie Lake Park", "Madison Square Garden", "Mountain Park", "Sea Pines Resort", "Nickelodeon Universe", "Islands of Adventure", "Georgia Aquarium", "Hawk Mountain Sanctuary", "Bailey House Museum", "Aquatica", "Splash Adventure", "Assateague Island National Seashore", "Hollywood Walk of Fame", "Cedar Point", "Amerind Foundation", "Six Flags Great Adventure", "Hacienda Buena Vista", "Bushnell Center for the Performing Arts", "Enchanted Forest", "Oceans of Fun", "Landmark Theatre", "Dinosaur World", "Yellowstone National Park", "Knott's Berry Farm", "Statue of Liberty", "Fisher Building", "Lake Winnepesaukah", "Fun-World", "SplashTown Houston", "Harry P. Leu Gardens", "Magic Springs and Crystal Falls", "Science Museum of Minnesota", "Disney's Typhoon Lagoon", "Carowinds", "ESPN Wide World of Sports Complex", "Naval Air Station Pensacola", "Cannery Row", "Roger Williams Park Zoo", "Six Flags America", "Woodruff Arts Center", "Comerica Park", "Waterville USA", "Crissy Field", "Mystery Spot", "Fun Spot Amusement Park & Zoo", "Prickett's Fort State Park", "Belmont Park", "Downtown Disney", "Camden Park", "Splash in the Boro", "Pleasure Island", "Freedomland U.S.A.", "Mary and Leigh Block Museum of Art", "Chinatown", "Action Park", "New England Aquarium", "Eleutherian College", "Anacapa Island", "Splash Down Waterpark", "Michigan's Adventure", "Shedd Aquarium", "Georgia Dome", "Institute of American Indian Arts", "Fort Klock", "Adirondack Mountains", "Rapids Water Park", "Hilltop Ski Area", "Pilot Butte", "Six Flags Great America" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000002, "question": "can you list for me all of tourist attractions available in the united states?", "answer": [ "Chinatown", "American Swedish Institute", "Marine Corps War Memorial", "Lookout Mountain", "Hollywood Boulevard", "Old Point Loma Lighthouse", "Mountain Park", "Mary and Leigh Block Museum of Art", "La Fortaleza", "Art Institute of Chicago", "Space Needle", "Freestyle Music Park", "University of Wisconsin-Oshkosh", "Sesame Place", "Dunkin' Donuts Center", "Fort Klock", "Mendenhall Glacier", "Flaming Gorge Reservoir", "Knoebels Amusement Resort", "Six Flags Great Adventure", "Detroit Zoo", "Palisades Amusement Park", "Discovery Cove", "SplashTown Houston", "Santa Cruz Island", "Kentucky Kingdom", "Gunstock Mountain Resort", "DelGrosso's Amusement Park", "Copper Harbor Light", "Alcatraz Island", "Alex Theatre", "Lagoon Amusement Park", "New Haven Green", "Adirondack Mountains", "Fisher Building", "Salem Willows", "Wannado City", "Mount Hood", "Wild Waters", "Six Flags America", "Dorney Park & Wildwater Kingdom", "Michigan's Adventure", "Adventureland", "Geauga Lake", "Statue of Liberty", "Philadelphia Museum of Art", "Newport Casino", "Napa Valley AVA", "Savannah Victorian Historic District", "Louisville Zoo", "Disney's Typhoon Lagoon", "Downtown Disney", "Mammoth Cave National Park", "Joyland Amusement Park", "Savannah River", "Epcot", "Hersheypark", "Museum of Contemporary Art Detroit", "Prickett's Fort State Park", "Kemah Boardwalk", "Wild River Country", "Pullen Park", "NRH2O", "Disney's River Country", "San Diego Zoo Safari Park", "Kings Dominion", "Camelbeach Waterpark", "Binder Park Zoo", "Fun-World", "Harry P. Leu Gardens", "Zoo Atlanta", "New England Aquarium", "Centennial Olympic Park", "Bodega Bay", "Universal Orlando", "Camden Park", "Lake Winnepesaukah", "Liberty Bell", "Mazda Raceway Laguna Seca", "Durango–La Plata County Airport", "Splash Adventure", "Warner Theatre", "Santa's Village", "Mesa Verde National Park", "Peoria Civic Center", "Summer Waves", "Hacienda Buena Vista", "Busch Gardens Williamsburg", "Barstow Route 66 Mother Road Museum", "Yosemite National Park", "Wild Waves Theme Park", "Jewish Theological Seminary of America Library", "Six Flags Over Texas", "New Jersey Performing Arts Center", "Hollywood Walk of Fame", "Fremont Street Experience", "Belmont Park", "Pilot Butte", "Water Wizz", "Empire State Building", "Splash Down Waterpark", "Comerica Park", "Anacapa Island", "Kings Island", "Hawk Mountain Sanctuary", "Conneaut Lake Park", "Downtown Disney", "Great Escape", "Grand Traverse Bay", "Landmark Theatre", "Cannery Row", "Ghost Town in the Sky", "Soak City", "Georgia Dome", "Islands of Adventure", "Bay Beach Amusement Park", "Woodruff Arts Center", "Fun Spot Amusement Park & Zoo", "Sandcastle Waterpark", "Splish Splash", "Freedomland U.S.A.", "Delaware Art Museum", "Arkansas Post National Memorial", "Disney's Hollywood Studios", "Morey's Piers", "Fox Theatre", "Wild Adventures", "Bunker Beach", "Six Flags New England", "Brandywine Zoo", "Bailey House Museum", "Pleasure Island", "Six Flags White Water", "White House", "Institute of American Indian Arts", "Los Angeles County Museum of Art", "Zoombezi Bay", "Magic Kingdom", "Myrtle Waves", "San Francisco Museum of Modern Art", "Holiday World & Splashin' Safari", "Cedar Point", "Santana Row", "Dinosaur World", "Western American Railroad Museum", "Stevens Institute of Technology", "Elliott Museum", "Dolby Theatre", "Funtown Splashtown USA", "Discovery World", "USS Silversides", "Meaher State Park", "Shedd Aquarium", "Sea Pines Resort", "Alaska Zoo", "Crissy Field", "Knott's Berry Farm", "Wet 'n Wild Emerald Pointe", "Squaw Valley", "Oregon Garden", "Pebble Beach Golf Links", "Cliff's Amusement Park", "Victoria Theatre", "Museum of Art of Puerto Rico", "ESPN Wide World of Sports Complex", "Hawaiian Falls Roanoke", "Silver Dollar City", "Busch Gardens Tampa Bay", "Idlewild and Soak Zone", "Asian Art Museum of San Francisco", "Six Flags Over Georgia", "Pennsylvania Academy of the Fine Arts", "Chesapeake and Ohio Canal National Historical Park", "Land of Make Believe", "Alamo Mission in San Antonio", "Slater Mill Historic Site", "Adventureland", "Mall of America", "Kenai Fjords National Park", "Carowinds", "Rapids Water Park", "Nickelodeon Universe", "Memphis Kiddie Park", "Six Flags Fiesta Texas", "Clementon Amusement Park", "Lake Pepin", "Beech Bend Park", "Rhode Island Convention Center", "Magic Springs and Crystal Falls", "Indiana Beach", "Walt Disney Concert Hall", "Hollywood Sign", "University of Louisiana at Lafayette", "Birmingham Zoo", "Dallas Arboretum and Botanical Garden", "TCL Chinese Theatre", "XIT Museum", "Naomi Institute", "Waldameer Park", "Brooklyn Botanic Garden", "Splash in the Boro", "Wet 'n Wild Orlando", "Schlitterbahn New Braunfels", "Waterville USA", "Grand Canyon", "Tweetsie Railroad", "Baker Beach", "DisneyQuest", "USS Lionfish", "Enchanted Forest", "Yellowstone National Park", "Canobie Lake Park", "Twin Peaks", "Tempe Town Lake", "Thomas Jefferson Memorial", "Air Zoo", "Angel Island", "Worlds of Fun", "Denver Botanic Gardens", "Naval Air Station Pensacola", "Disney's Blizzard Beach", "Luna Park, Coney Island", "Enchanted Forest", "Opryland USA", "Revere Beach", "Science Museum of Minnesota", "Roger Williams Park Zoo", "White Water Bay", "Amerind Foundation", "Action Park", "Lakemont Park", "Bushnell Center for the Performing Arts", "Splashtown San Antonio", "Hilltop Ski Area", "Luxor Las Vegas", "Solomon R. Guggenheim Museum", "Bowcraft Amusement Park", "Georgia Aquarium", "Polynesian Cultural Center", "Las Vegas Strip", "Nu‘uanu Pali", "Aquatica", "Tillicum Village", "MarineLand", "Playland", "Water Country", "Madison Square Garden", "Los Alamos", "Mount Mansfield", "Independence Pass", "Ryman Auditorium", "Forsyth Park", "Olvera Street", "Big Powderhorn Mountain", "University of North Dakota", "Assateague Island National Seashore", "Las Cascadas Water Park", "Crown Center", "Six Flags Great America", "Disney's Animal Kingdom", "Mystery Spot", "Darien Lake", "Collegiate Peaks", "Oceans of Fun", "Land of Oz", "Eleutherian College", "Daytona Lagoon" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000100, "question": "show all tourist attractions in united states of america.", "answer": [ "Carowinds", "Splash Adventure", "Thomas Jefferson Memorial", "Alcatraz Island", "Institute of American Indian Arts", "Kemah Boardwalk", "Pleasure Island", "Los Alamos", "Lake Pepin", "Wild River Country", "University of Louisiana at Lafayette", "Las Cascadas Water Park", "Gunstock Mountain Resort", "Bunker Beach", "New Jersey Performing Arts Center", "Wet 'n Wild Emerald Pointe", "Wet 'n Wild Orlando", "Mountain Park", "USS Lionfish", "Asian Art Museum of San Francisco", "Barstow Route 66 Mother Road Museum", "Sandcastle Waterpark", "San Diego Zoo Safari Park", "Belmont Park", "Empire State Building", "Old Point Loma Lighthouse", "Splish Splash", "Camden Park", "Fox Theatre", "Lookout Mountain", "Assateague Island National Seashore", "Baker Beach", "Morey's Piers", "Dunkin' Donuts Center", "Worlds of Fun", "ESPN Wide World of Sports Complex", "Wild Adventures", "Discovery Cove", "Mesa Verde National Park", "Mount Hood", "XIT Museum", "Disney's Blizzard Beach", "Art Institute of Chicago", "Hawk Mountain Sanctuary", "Adirondack Mountains", "Mary and Leigh Block Museum of Art", "Alamo Mission in San Antonio", "Sea Pines Resort", "Fort Klock", "Newport Casino", "Polynesian Cultural Center", "Land of Make Believe", "Action Park", "Land of Oz", "Madison Square Garden", "Wild Waters", "Six Flags Great America", "Myrtle Waves", "Rhode Island Convention Center", "Mall of America", "Crissy Field", "Wannado City", "Meaher State Park", "Geauga Lake", "Bay Beach Amusement Park", "Six Flags Great Adventure", "Big Powderhorn Mountain", "Busch Gardens Tampa Bay", "White Water Bay", "Aquatica", "Adventureland", "Crown Center", "Liberty Bell", "Opryland USA", "Knoebels Amusement Resort", "New England Aquarium", "Magic Springs and Crystal Falls", "Epcot", "Chesapeake and Ohio Canal National Historical Park", "Olvera Street", "Twin Peaks", "Silver Dollar City", "Statue of Liberty", "Zoo Atlanta", "Memphis Kiddie Park", "Space Needle", "Enchanted Forest", "Victoria Theatre", "Alex Theatre", "Rapids Water Park", "Yellowstone National Park", "Comerica Park", "Grand Canyon", "Bodega Bay", "Hawaiian Falls Roanoke", "Amerind Foundation", "Clementon Amusement Park", "Forsyth Park", "Napa Valley AVA", "NRH2O", "Cedar Point", "Yosemite National Park", "Revere Beach", "Six Flags Over Texas", "DelGrosso's Amusement Park", "Savannah Victorian Historic District", "Marine Corps War Memorial", "Adventureland", "Great Escape", "Brandywine Zoo", "Independence Pass", "DisneyQuest", "Copper Harbor Light", "Pennsylvania Academy of the Fine Arts", "Splash in the Boro", "Delaware Art Museum", "Pullen Park", "Elliott Museum", "Summer Waves", "Idlewild and Soak Zone", "Darien Lake", "Roger Williams Park Zoo", "Cliff's Amusement Park", "Kings Dominion", "Fremont Street Experience", "Holiday World & Splashin' Safari", "Six Flags New England", "Woodruff Arts Center", "Los Angeles County Museum of Art", "Indiana Beach", "Playland", "Fisher Building", "Waterville USA", "Luxor Las Vegas", "Solomon R. Guggenheim Museum", "American Swedish Institute", "Knott's Berry Farm", "Stevens Institute of Technology", "Ghost Town in the Sky", "Splash Down Waterpark", "Santana Row", "Lake Winnepesaukah", "Oceans of Fun", "Savannah River", "Durango–La Plata County Airport", "Alaska Zoo", "Downtown Disney", "Las Vegas Strip", "Hilltop Ski Area", "TCL Chinese Theatre", "Canobie Lake Park", "La Fortaleza", "Mystery Spot", "Harry P. Leu Gardens", "Centennial Olympic Park", "Six Flags America", "Palisades Amusement Park", "Daytona Lagoon", "Hollywood Boulevard", "Hersheypark", "Tempe Town Lake", "Eleutherian College", "Museum of Contemporary Art Detroit", "Ryman Auditorium", "Anacapa Island", "Wild Waves Theme Park", "Bailey House Museum", "Enchanted Forest", "Mendenhall Glacier", "Joyland Amusement Park", "Warner Theatre", "Fun Spot Amusement Park & Zoo", "Science Museum of Minnesota", "Angel Island", "Luna Park, Coney Island", "Kenai Fjords National Park", "Funtown Splashtown USA", "Prickett's Fort State Park", "Disney's River Country", "Downtown Disney", "Schlitterbahn New Braunfels", "Museum of Art of Puerto Rico", "Georgia Aquarium", "Salem Willows", "Western American Railroad Museum", "MarineLand", "University of North Dakota", "Air Zoo", "Georgia Dome", "USS Silversides", "Brooklyn Botanic Garden", "Lakemont Park", "University of Wisconsin-Oshkosh", "Dorney Park & Wildwater Kingdom", "Squaw Valley", "Splashtown San Antonio", "Mammoth Cave National Park", "Bowcraft Amusement Park", "Louisville Zoo", "Pebble Beach Golf Links", "Water Wizz", "Dallas Arboretum and Botanical Garden", "Waldameer Park", "Six Flags Fiesta Texas", "Birmingham Zoo", "Fun-World", "Santa's Village", "Naomi Institute", "Denver Botanic Gardens", "Magic Kingdom", "White House", "Freestyle Music Park", "SplashTown Houston", "Dinosaur World", "Lagoon Amusement Park", "Arkansas Post National Memorial", "Discovery World", "Jewish Theological Seminary of America Library", "Six Flags Over Georgia", "Landmark Theatre", "Six Flags White Water", "Slater Mill Historic Site", "Water Country", "Hacienda Buena Vista", "Flaming Gorge Reservoir", "Pilot Butte", "Disney's Hollywood Studios", "Disney's Typhoon Lagoon", "Kentucky Kingdom", "Nickelodeon Universe", "Sesame Place", "Collegiate Peaks", "Conneaut Lake Park", "Tillicum Village", "Hollywood Sign", "Detroit Zoo", "Universal Orlando", "Tweetsie Railroad", "Grand Traverse Bay", "Cannery Row", "Nu‘uanu Pali", "Mount Mansfield", "Santa Cruz Island", "Philadelphia Museum of Art", "Naval Air Station Pensacola", "Bushnell Center for the Performing Arts", "Oregon Garden", "San Francisco Museum of Modern Art", "Shedd Aquarium", "Islands of Adventure", "Kings Island", "Mazda Raceway Laguna Seca", "New Haven Green", "Disney's Animal Kingdom", "Dolby Theatre", "Beech Bend Park", "Freedomland U.S.A.", "Hollywood Walk of Fame", "Peoria Civic Center", "Michigan's Adventure", "Chinatown", "Camelbeach Waterpark", "Walt Disney Concert Hall", "Binder Park Zoo", "Zoombezi Bay", "Soak City", "Busch Gardens Williamsburg" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000101, "question": "show all tourist attractions in us.", "answer": [ "Newport Casino", "Wild Waters", "Victoria Theatre", "Museum of Art of Puerto Rico", "Knott's Berry Farm", "Crissy Field", "Detroit Zoo", "Oceans of Fun", "Yosemite National Park", "Magic Kingdom", "Salem Willows", "Las Cascadas Water Park", "Busch Gardens Tampa Bay", "Enchanted Forest", "Michigan's Adventure", "Grand Traverse Bay", "Tweetsie Railroad", "Six Flags White Water", "Water Country", "Busch Gardens Williamsburg", "Dolby Theatre", "Binder Park Zoo", "Anacapa Island", "Kentucky Kingdom", "Wild Adventures", "Wild Waves Theme Park", "Air Zoo", "Asian Art Museum of San Francisco", "Walt Disney Concert Hall", "Bushnell Center for the Performing Arts", "Institute of American Indian Arts", "Conneaut Lake Park", "Six Flags Great America", "Revere Beach", "Wet 'n Wild Orlando", "Mount Hood", "Big Powderhorn Mountain", "Wet 'n Wild Emerald Pointe", "Hawk Mountain Sanctuary", "Hacienda Buena Vista", "Alcatraz Island", "Waterville USA", "Mystery Spot", "Hollywood Sign", "Daytona Lagoon", "Assateague Island National Seashore", "Georgia Dome", "Lookout Mountain", "Space Needle", "Santa's Village", "Downtown Disney", "Disney's Typhoon Lagoon", "XIT Museum", "Geauga Lake", "Memphis Kiddie Park", "Six Flags Over Georgia", "Bowcraft Amusement Park", "Pullen Park", "Darien Lake", "Carowinds", "Olvera Street", "Birmingham Zoo", "Los Angeles County Museum of Art", "Prickett's Fort State Park", "Fremont Street Experience", "Chinatown", "Naval Air Station Pensacola", "Belmont Park", "Luna Park, Coney Island", "Freedomland U.S.A.", "Santana Row", "Summer Waves", "Lagoon Amusement Park", "Freestyle Music Park", "University of Wisconsin-Oshkosh", "Adventureland", "Hersheypark", "Arkansas Post National Memorial", "Epcot", "Madison Square Garden", "Art Institute of Chicago", "Fun Spot Amusement Park & Zoo", "Cedar Point", "Western American Railroad Museum", "DisneyQuest", "Solomon R. Guggenheim Museum", "Roger Williams Park Zoo", "San Francisco Museum of Modern Art", "Eleutherian College", "Hollywood Walk of Fame", "Morey's Piers", "Savannah Victorian Historic District", "Bodega Bay", "DelGrosso's Amusement Park", "Museum of Contemporary Art Detroit", "New England Aquarium", "Angel Island", "Land of Make Believe", "Funtown Splashtown USA", "Oregon Garden", "Chesapeake and Ohio Canal National Historical Park", "Nickelodeon Universe", "Fox Theatre", "Six Flags Over Texas", "Kenai Fjords National Park", "Baker Beach", "Camden Park", "Alaska Zoo", "Canobie Lake Park", "Pebble Beach Golf Links", "Cliff's Amusement Park", "Enchanted Forest", "Durango–La Plata County Airport", "Stevens Institute of Technology", "Barstow Route 66 Mother Road Museum", "American Swedish Institute", "Dunkin' Donuts Center", "Silver Dollar City", "Pilot Butte", "USS Lionfish", "Action Park", "Gunstock Mountain Resort", "Mary and Leigh Block Museum of Art", "Rapids Water Park", "Thomas Jefferson Memorial", "Marine Corps War Memorial", "MarineLand", "Wannado City", "Palisades Amusement Park", "Woodruff Arts Center", "Magic Springs and Crystal Falls", "Alex Theatre", "Mesa Verde National Park", "Elliott Museum", "Empire State Building", "Mammoth Cave National Park", "Alamo Mission in San Antonio", "Zoombezi Bay", "Denver Botanic Gardens", "Six Flags New England", "Hollywood Boulevard", "Lake Winnepesaukah", "Crown Center", "Downtown Disney", "Mountain Park", "Independence Pass", "Grand Canyon", "Georgia Aquarium", "Kemah Boardwalk", "Bay Beach Amusement Park", "Disney's Animal Kingdom", "TCL Chinese Theatre", "Cannery Row", "Splash Adventure", "Disney's Hollywood Studios", "Aquatica", "Flaming Gorge Reservoir", "Peoria Civic Center", "New Haven Green", "Brooklyn Botanic Garden", "Six Flags Great Adventure", "Brandywine Zoo", "Polynesian Cultural Center", "Naomi Institute", "Tillicum Village", "White House", "Six Flags Fiesta Texas", "Dallas Arboretum and Botanical Garden", "Hilltop Ski Area", "Harry P. Leu Gardens", "Dinosaur World", "University of North Dakota", "Louisville Zoo", "Knoebels Amusement Resort", "Pennsylvania Academy of the Fine Arts", "Liberty Bell", "Jewish Theological Seminary of America Library", "Las Vegas Strip", "Squaw Valley", "Warner Theatre", "Myrtle Waves", "Mount Mansfield", "Bunker Beach", "Philadelphia Museum of Art", "Los Alamos", "Kings Island", "University of Louisiana at Lafayette", "Beech Bend Park", "Holiday World & Splashin' Safari", "Islands of Adventure", "Shedd Aquarium", "Landmark Theatre", "Great Escape", "Centennial Olympic Park", "Old Point Loma Lighthouse", "Waldameer Park", "Lakemont Park", "Water Wizz", "Meaher State Park", "Joyland Amusement Park", "Fisher Building", "Six Flags America", "Sandcastle Waterpark", "Hawaiian Falls Roanoke", "Pleasure Island", "Adventureland", "Splish Splash", "Santa Cruz Island", "Fun-World", "USS Silversides", "Twin Peaks", "SplashTown Houston", "Splash Down Waterpark", "Amerind Foundation", "Idlewild and Soak Zone", "Ryman Auditorium", "San Diego Zoo Safari Park", "Camelbeach Waterpark", "Schlitterbahn New Braunfels", "Dorney Park & Wildwater Kingdom", "Disney's River Country", "Yellowstone National Park", "Universal Orlando", "Fort Klock", "Science Museum of Minnesota", "Mazda Raceway Laguna Seca", "Adirondack Mountains", "Mall of America", "White Water Bay", "Splashtown San Antonio", "Slater Mill Historic Site", "Comerica Park", "Rhode Island Convention Center", "Wild River Country", "Zoo Atlanta", "New Jersey Performing Arts Center", "Nu‘uanu Pali", "Soak City", "Land of Oz", "Savannah River", "Discovery World", "ESPN Wide World of Sports Complex", "Disney's Blizzard Beach", "Kings Dominion", "Lake Pepin", "Luxor Las Vegas", "Mendenhall Glacier", "Indiana Beach", "La Fortaleza", "Sesame Place", "Copper Harbor Light", "Discovery Cove", "Sea Pines Resort", "Napa Valley AVA", "NRH2O", "Ghost Town in the Sky", "Collegiate Peaks", "Delaware Art Museum", "Splash in the Boro", "Tempe Town Lake", "Opryland USA", "Playland", "Bailey House Museum", "Forsyth Park", "Statue of Liberty", "Clementon Amusement Park", "Worlds of Fun" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000102, "question": "show all tourist attractions in united states.", "answer": [ "Peoria Civic Center", "Air Zoo", "Dolby Theatre", "Wild Waters", "Funtown Splashtown USA", "Wet 'n Wild Emerald Pointe", "Luxor Las Vegas", "TCL Chinese Theatre", "Las Cascadas Water Park", "Empire State Building", "Art Institute of Chicago", "Fun Spot Amusement Park & Zoo", "Lake Winnepesaukah", "Harry P. Leu Gardens", "Pilot Butte", "Idlewild and Soak Zone", "Mystery Spot", "Fisher Building", "Kings Dominion", "Stevens Institute of Technology", "Thomas Jefferson Memorial", "Opryland USA", "Land of Oz", "Disney's Typhoon Lagoon", "Aquatica", "Pleasure Island", "New Haven Green", "Six Flags Great America", "Yosemite National Park", "Bailey House Museum", "Crown Center", "Shedd Aquarium", "Camden Park", "Warner Theatre", "Islands of Adventure", "Fun-World", "Kings Island", "Chesapeake and Ohio Canal National Historical Park", "Splash in the Boro", "Naval Air Station Pensacola", "Sea Pines Resort", "NRH2O", "Freestyle Music Park", "Magic Springs and Crystal Falls", "Zoombezi Bay", "Hawk Mountain Sanctuary", "Eleutherian College", "Water Wizz", "Delaware Art Museum", "American Swedish Institute", "Meaher State Park", "Bunker Beach", "Madison Square Garden", "Amerind Foundation", "Adventureland", "Busch Gardens Williamsburg", "Oceans of Fun", "Dinosaur World", "Savannah River", "Las Vegas Strip", "Bodega Bay", "Wet 'n Wild Orlando", "Statue of Liberty", "Disney's Blizzard Beach", "Darien Lake", "Kemah Boardwalk", "Jewish Theological Seminary of America Library", "Bushnell Center for the Performing Arts", "Comerica Park", "Ghost Town in the Sky", "Worlds of Fun", "Zoo Atlanta", "Disney's River Country", "La Fortaleza", "Gunstock Mountain Resort", "Memphis Kiddie Park", "Liberty Bell", "Assateague Island National Seashore", "Mazda Raceway Laguna Seca", "Cliff's Amusement Park", "Splash Adventure", "Brooklyn Botanic Garden", "Kenai Fjords National Park", "Old Point Loma Lighthouse", "San Diego Zoo Safari Park", "Los Alamos", "Discovery World", "Cannery Row", "USS Lionfish", "Bowcraft Amusement Park", "Six Flags Fiesta Texas", "Land of Make Believe", "Santa Cruz Island", "Discovery Cove", "Rapids Water Park", "Mountain Park", "Pebble Beach Golf Links", "Pullen Park", "Kentucky Kingdom", "Philadelphia Museum of Art", "Slater Mill Historic Site", "Adirondack Mountains", "Adventureland", "Oregon Garden", "Durango–La Plata County Airport", "Detroit Zoo", "Lakemont Park", "Asian Art Museum of San Francisco", "Downtown Disney", "Western American Railroad Museum", "Hersheypark", "San Francisco Museum of Modern Art", "White Water Bay", "Woodruff Arts Center", "Water Country", "Independence Pass", "Action Park", "Mesa Verde National Park", "Centennial Olympic Park", "Six Flags White Water", "Summer Waves", "Waterville USA", "Silver Dollar City", "Hawaiian Falls Roanoke", "Georgia Aquarium", "Enchanted Forest", "Indiana Beach", "Splashtown San Antonio", "Bay Beach Amusement Park", "Alex Theatre", "DisneyQuest", "Dunkin' Donuts Center", "Chinatown", "Space Needle", "Olvera Street", "Splash Down Waterpark", "Hacienda Buena Vista", "Dorney Park & Wildwater Kingdom", "Universal Orlando", "Forsyth Park", "Revere Beach", "Carowinds", "Knott's Berry Farm", "Grand Canyon", "Squaw Valley", "Crissy Field", "Wild Adventures", "Hollywood Sign", "Binder Park Zoo", "Alaska Zoo", "Disney's Animal Kingdom", "Denver Botanic Gardens", "Fort Klock", "Ryman Auditorium", "Wild River Country", "Waldameer Park", "Copper Harbor Light", "Enchanted Forest", "Lake Pepin", "Hollywood Walk of Fame", "Cedar Point", "Alamo Mission in San Antonio", "Six Flags America", "Institute of American Indian Arts", "Alcatraz Island", "Grand Traverse Bay", "Mammoth Cave National Park", "Conneaut Lake Park", "Palisades Amusement Park", "Baker Beach", "Nickelodeon Universe", "Six Flags Great Adventure", "Big Powderhorn Mountain", "Napa Valley AVA", "Freedomland U.S.A.", "Museum of Contemporary Art Detroit", "Magic Kingdom", "Los Angeles County Museum of Art", "Birmingham Zoo", "Daytona Lagoon", "Luna Park, Coney Island", "Tempe Town Lake", "Disney's Hollywood Studios", "Yellowstone National Park", "Six Flags New England", "Michigan's Adventure", "Epcot", "Hilltop Ski Area", "Great Escape", "ESPN Wide World of Sports Complex", "Mount Mansfield", "Santa's Village", "Six Flags Over Texas", "Marine Corps War Memorial", "Nu‘uanu Pali", "Six Flags Over Georgia", "Wild Waves Theme Park", "Brandywine Zoo", "New England Aquarium", "Lookout Mountain", "Beech Bend Park", "Geauga Lake", "Mall of America", "Rhode Island Convention Center", "Polynesian Cultural Center", "Pennsylvania Academy of the Fine Arts", "Sandcastle Waterpark", "Downtown Disney", "Clementon Amusement Park", "Louisville Zoo", "Victoria Theatre", "Angel Island", "Mary and Leigh Block Museum of Art", "Flaming Gorge Reservoir", "Museum of Art of Puerto Rico", "Salem Willows", "Busch Gardens Tampa Bay", "Mendenhall Glacier", "DelGrosso's Amusement Park", "Walt Disney Concert Hall", "New Jersey Performing Arts Center", "Solomon R. Guggenheim Museum", "USS Silversides", "Soak City", "Science Museum of Minnesota", "Morey's Piers", "Canobie Lake Park", "Arkansas Post National Memorial", "Wannado City", "Fremont Street Experience", "Prickett's Fort State Park", "Knoebels Amusement Resort", "Hollywood Boulevard", "MarineLand", "Savannah Victorian Historic District", "Camelbeach Waterpark", "Dallas Arboretum and Botanical Garden", "Tillicum Village", "Roger Williams Park Zoo", "Sesame Place", "Georgia Dome", "Newport Casino", "Landmark Theatre", "University of North Dakota", "Splish Splash", "Belmont Park", "Joyland Amusement Park", "Schlitterbahn New Braunfels", "Myrtle Waves", "Naomi Institute", "University of Louisiana at Lafayette", "Mount Hood", "Twin Peaks", "SplashTown Houston", "Fox Theatre", "Anacapa Island", "Lagoon Amusement Park", "Tweetsie Railroad", "XIT Museum", "University of Wisconsin-Oshkosh", "Holiday World & Splashin' Safari", "Barstow Route 66 Mother Road Museum", "Elliott Museum", "Santana Row", "Collegiate Peaks", "Playland", "White House" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000200, "question": "what tourist attractions does the united states of america have?", "answer": [ "Land of Make Believe", "Woodruff Arts Center", "Georgia Dome", "Sesame Place", "Dunkin' Donuts Center", "Playland", "Elliott Museum", "Newport Casino", "Durango–La Plata County Airport", "Dorney Park & Wildwater Kingdom", "Alcatraz Island", "Comerica Park", "Anacapa Island", "Ryman Auditorium", "Assateague Island National Seashore", "Museum of Art of Puerto Rico", "Palisades Amusement Park", "Discovery World", "Roger Williams Park Zoo", "New Haven Green", "Louisville Zoo", "Thomas Jefferson Memorial", "Beech Bend Park", "Alaska Zoo", "Walt Disney Concert Hall", "Wild Waves Theme Park", "Morey's Piers", "Mazda Raceway Laguna Seca", "Indiana Beach", "Alex Theatre", "Sandcastle Waterpark", "Dinosaur World", "Pebble Beach Golf Links", "Conneaut Lake Park", "Nu‘uanu Pali", "Disney's Typhoon Lagoon", "Air Zoo", "Fun Spot Amusement Park & Zoo", "Soak City", "Pilot Butte", "Warner Theatre", "Meaher State Park", "Bay Beach Amusement Park", "Carowinds", "Water Country", "Olvera Street", "Splash Adventure", "Pleasure Island", "Six Flags Fiesta Texas", "Hersheypark", "Rhode Island Convention Center", "Statue of Liberty", "Crissy Field", "Old Point Loma Lighthouse", "Science Museum of Minnesota", "Cedar Point", "Busch Gardens Williamsburg", "Yosemite National Park", "Fox Theatre", "Lagoon Amusement Park", "Splash in the Boro", "Dallas Arboretum and Botanical Garden", "San Diego Zoo Safari Park", "Tempe Town Lake", "Shedd Aquarium", "Epcot", "Mammoth Cave National Park", "Bunker Beach", "TCL Chinese Theatre", "Joyland Amusement Park", "Discovery Cove", "Splash Down Waterpark", "Wild River Country", "Chinatown", "Six Flags Over Georgia", "Detroit Zoo", "Camden Park", "Delaware Art Museum", "Pullen Park", "Marine Corps War Memorial", "Mountain Park", "Pennsylvania Academy of the Fine Arts", "Enchanted Forest", "Denver Botanic Gardens", "New England Aquarium", "Las Vegas Strip", "Hilltop Ski Area", "University of North Dakota", "Action Park", "Mount Hood", "Six Flags Great America", "Idlewild and Soak Zone", "Empire State Building", "Philadelphia Museum of Art", "Wannado City", "Dolby Theatre", "Memphis Kiddie Park", "Michigan's Adventure", "Schlitterbahn New Braunfels", "Santa Cruz Island", "Wild Adventures", "Wet 'n Wild Orlando", "Disney's Blizzard Beach", "Flaming Gorge Reservoir", "Yellowstone National Park", "Barstow Route 66 Mother Road Museum", "Santa's Village", "Museum of Contemporary Art Detroit", "Eleutherian College", "Silver Dollar City", "Bailey House Museum", "Summer Waves", "Islands of Adventure", "American Swedish Institute", "Rapids Water Park", "Forsyth Park", "La Fortaleza", "White Water Bay", "Disney's Animal Kingdom", "Copper Harbor Light", "Kentucky Kingdom", "Twin Peaks", "Zoo Atlanta", "Six Flags Over Texas", "Stevens Institute of Technology", "Santana Row", "Knott's Berry Farm", "Fun-World", "Clementon Amusement Park", "Kemah Boardwalk", "Wild Waters", "Naomi Institute", "Cannery Row", "Canobie Lake Park", "Victoria Theatre", "New Jersey Performing Arts Center", "Brooklyn Botanic Garden", "Splish Splash", "Belmont Park", "Landmark Theatre", "Ghost Town in the Sky", "Liberty Bell", "SplashTown Houston", "Lookout Mountain", "Six Flags New England", "Worlds of Fun", "Los Alamos", "Downtown Disney", "Disney's River Country", "Myrtle Waves", "Fort Klock", "Zoombezi Bay", "ESPN Wide World of Sports Complex", "Downtown Disney", "Lake Winnepesaukah", "Hawk Mountain Sanctuary", "University of Louisiana at Lafayette", "University of Wisconsin-Oshkosh", "Darien Lake", "Prickett's Fort State Park", "Universal Orlando", "Cliff's Amusement Park", "DisneyQuest", "Magic Kingdom", "Mary and Leigh Block Museum of Art", "Sea Pines Resort", "Six Flags America", "Six Flags Great Adventure", "Lakemont Park", "Independence Pass", "Camelbeach Waterpark", "Asian Art Museum of San Francisco", "Funtown Splashtown USA", "Western American Railroad Museum", "Georgia Aquarium", "Space Needle", "Baker Beach", "Bodega Bay", "Tillicum Village", "Adventureland", "San Francisco Museum of Modern Art", "Mall of America", "Mesa Verde National Park", "Knoebels Amusement Resort", "Chesapeake and Ohio Canal National Historical Park", "Oceans of Fun", "Polynesian Cultural Center", "Hollywood Sign", "Naval Air Station Pensacola", "Birmingham Zoo", "Institute of American Indian Arts", "Art Institute of Chicago", "Los Angeles County Museum of Art", "Savannah River", "Water Wizz", "Wet 'n Wild Emerald Pointe", "Kings Island", "Kenai Fjords National Park", "USS Lionfish", "Bowcraft Amusement Park", "Big Powderhorn Mountain", "Brandywine Zoo", "Splashtown San Antonio", "Angel Island", "Revere Beach", "NRH2O", "Mount Mansfield", "Grand Canyon", "Hollywood Walk of Fame", "Fremont Street Experience", "Squaw Valley", "Collegiate Peaks", "Six Flags White Water", "Bushnell Center for the Performing Arts", "Adirondack Mountains", "Nickelodeon Universe", "Hacienda Buena Vista", "Amerind Foundation", "Binder Park Zoo", "Luna Park, Coney Island", "Salem Willows", "Crown Center", "Jewish Theological Seminary of America Library", "Slater Mill Historic Site", "Napa Valley AVA", "Arkansas Post National Memorial", "Opryland USA", "Great Escape", "Waldameer Park", "Mendenhall Glacier", "Alamo Mission in San Antonio", "White House", "Freedomland U.S.A.", "XIT Museum", "Waterville USA", "Freestyle Music Park", "Peoria Civic Center", "Enchanted Forest", "Grand Traverse Bay", "Adventureland", "Hawaiian Falls Roanoke", "Magic Springs and Crystal Falls", "Savannah Victorian Historic District", "Harry P. Leu Gardens", "USS Silversides", "MarineLand", "Kings Dominion", "Luxor Las Vegas", "Land of Oz", "Lake Pepin", "Hollywood Boulevard", "Holiday World & Splashin' Safari", "Busch Gardens Tampa Bay", "Solomon R. Guggenheim Museum", "Gunstock Mountain Resort", "Daytona Lagoon", "Tweetsie Railroad", "Las Cascadas Water Park", "Aquatica", "Disney's Hollywood Studios", "Fisher Building", "Madison Square Garden", "Centennial Olympic Park", "DelGrosso's Amusement Park", "Oregon Garden", "Mystery Spot", "Geauga Lake" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000201, "question": "what tourist attractions does the us have?", "answer": [ "Splash Down Waterpark", "University of North Dakota", "Marine Corps War Memorial", "Land of Oz", "Chinatown", "Rapids Water Park", "Forsyth Park", "Kings Island", "Pebble Beach Golf Links", "USS Silversides", "Camden Park", "La Fortaleza", "MarineLand", "Darien Lake", "Islands of Adventure", "Playland", "Solomon R. Guggenheim Museum", "Rhode Island Convention Center", "Empire State Building", "Conneaut Lake Park", "Savannah River", "Downtown Disney", "Ghost Town in the Sky", "Space Needle", "Mesa Verde National Park", "Fun-World", "Funtown Splashtown USA", "Grand Canyon", "Naval Air Station Pensacola", "Bay Beach Amusement Park", "Memphis Kiddie Park", "Meaher State Park", "Carowinds", "TCL Chinese Theatre", "Epcot", "Action Park", "XIT Museum", "Mammoth Cave National Park", "Yellowstone National Park", "Beech Bend Park", "Thomas Jefferson Memorial", "Mystery Spot", "Luna Park, Coney Island", "Six Flags Great Adventure", "Los Alamos", "Mary and Leigh Block Museum of Art", "Western American Railroad Museum", "Copper Harbor Light", "Newport Casino", "Dallas Arboretum and Botanical Garden", "Bowcraft Amusement Park", "Zoombezi Bay", "Land of Make Believe", "Lakemont Park", "Museum of Contemporary Art Detroit", "Luxor Las Vegas", "Summer Waves", "Statue of Liberty", "Six Flags Over Texas", "Myrtle Waves", "Oregon Garden", "Stevens Institute of Technology", "Knott's Berry Farm", "Shedd Aquarium", "Roger Williams Park Zoo", "Bushnell Center for the Performing Arts", "Disney's Typhoon Lagoon", "Naomi Institute", "Discovery Cove", "Alamo Mission in San Antonio", "Museum of Art of Puerto Rico", "Canobie Lake Park", "Six Flags New England", "Slater Mill Historic Site", "Six Flags Great America", "Baker Beach", "Assateague Island National Seashore", "Mount Mansfield", "Joyland Amusement Park", "Los Angeles County Museum of Art", "Hollywood Sign", "Fox Theatre", "Wannado City", "Magic Kingdom", "Olvera Street", "Twin Peaks", "Durango–La Plata County Airport", "Las Vegas Strip", "Clementon Amusement Park", "Mall of America", "Las Cascadas Water Park", "Gunstock Mountain Resort", "Universal Orlando", "Waterville USA", "Detroit Zoo", "Enchanted Forest", "Kentucky Kingdom", "DelGrosso's Amusement Park", "Wild Waves Theme Park", "Cedar Point", "Asian Art Museum of San Francisco", "Anacapa Island", "Alaska Zoo", "Mendenhall Glacier", "Tweetsie Railroad", "Geauga Lake", "Wild River Country", "Santa's Village", "Dinosaur World", "Louisville Zoo", "Fort Klock", "SplashTown Houston", "Worlds of Fun", "Belmont Park", "Revere Beach", "Pennsylvania Academy of the Fine Arts", "Amerind Foundation", "Nickelodeon Universe", "Angel Island", "Six Flags White Water", "Mazda Raceway Laguna Seca", "Six Flags Over Georgia", "Busch Gardens Tampa Bay", "Santa Cruz Island", "Kings Dominion", "Kenai Fjords National Park", "Schlitterbahn New Braunfels", "Landmark Theatre", "San Francisco Museum of Modern Art", "Peoria Civic Center", "Magic Springs and Crystal Falls", "New England Aquarium", "Oceans of Fun", "Opryland USA", "Dorney Park & Wildwater Kingdom", "Indiana Beach", "Collegiate Peaks", "Grand Traverse Bay", "Hawaiian Falls Roanoke", "ESPN Wide World of Sports Complex", "Knoebels Amusement Resort", "Wet 'n Wild Emerald Pointe", "Mount Hood", "Old Point Loma Lighthouse", "Jewish Theological Seminary of America Library", "Water Country", "Soak City", "Alcatraz Island", "Napa Valley AVA", "Zoo Atlanta", "Crown Center", "Splish Splash", "Science Museum of Minnesota", "Nu‘uanu Pali", "Woodruff Arts Center", "Water Wizz", "Cannery Row", "Madison Square Garden", "Salem Willows", "Ryman Auditorium", "Georgia Dome", "Freestyle Music Park", "Splash in the Boro", "Warner Theatre", "Adventureland", "Big Powderhorn Mountain", "Downtown Disney", "Fun Spot Amusement Park & Zoo", "Alex Theatre", "Brandywine Zoo", "Adventureland", "Waldameer Park", "Liberty Bell", "American Swedish Institute", "Freedomland U.S.A.", "Hacienda Buena Vista", "Holiday World & Splashin' Safari", "DisneyQuest", "Hilltop Ski Area", "University of Wisconsin-Oshkosh", "Disney's Animal Kingdom", "University of Louisiana at Lafayette", "Michigan's Adventure", "Bunker Beach", "Bailey House Museum", "Tillicum Village", "Prickett's Fort State Park", "Pilot Butte", "Daytona Lagoon", "Institute of American Indian Arts", "New Jersey Performing Arts Center", "USS Lionfish", "Wet 'n Wild Orlando", "Disney's Hollywood Studios", "Splash Adventure", "Hollywood Walk of Fame", "Discovery World", "Comerica Park", "Enchanted Forest", "San Diego Zoo Safari Park", "Pleasure Island", "Yosemite National Park", "Fremont Street Experience", "Disney's River Country", "Palisades Amusement Park", "Pullen Park", "Centennial Olympic Park", "Lookout Mountain", "Idlewild and Soak Zone", "Eleutherian College", "Dolby Theatre", "Savannah Victorian Historic District", "Camelbeach Waterpark", "Wild Adventures", "Kemah Boardwalk", "Morey's Piers", "Victoria Theatre", "NRH2O", "Hawk Mountain Sanctuary", "New Haven Green", "Busch Gardens Williamsburg", "Tempe Town Lake", "Splashtown San Antonio", "Flaming Gorge Reservoir", "Delaware Art Museum", "Six Flags America", "Philadelphia Museum of Art", "Crissy Field", "Binder Park Zoo", "White House", "Birmingham Zoo", "Dunkin' Donuts Center", "Lake Pepin", "Sesame Place", "Squaw Valley", "Chesapeake and Ohio Canal National Historical Park", "Cliff's Amusement Park", "Fisher Building", "Aquatica", "Barstow Route 66 Mother Road Museum", "Elliott Museum", "Brooklyn Botanic Garden", "Sea Pines Resort", "Walt Disney Concert Hall", "Polynesian Cultural Center", "Wild Waters", "Georgia Aquarium", "Independence Pass", "Hersheypark", "Lagoon Amusement Park", "Air Zoo", "Hollywood Boulevard", "Arkansas Post National Memorial", "Lake Winnepesaukah", "Adirondack Mountains", "Sandcastle Waterpark", "Silver Dollar City", "White Water Bay", "Mountain Park", "Harry P. Leu Gardens", "Denver Botanic Gardens", "Great Escape", "Six Flags Fiesta Texas", "Santana Row", "Art Institute of Chicago", "Bodega Bay", "Disney's Blizzard Beach" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000202, "question": "what tourist attractions does the united states have?", "answer": [ "Lagoon Amusement Park", "Knott's Berry Farm", "Freedomland U.S.A.", "Enchanted Forest", "Silver Dollar City", "Six Flags Over Georgia", "Art Institute of Chicago", "Old Point Loma Lighthouse", "Kings Island", "Grand Canyon", "Disney's Animal Kingdom", "Myrtle Waves", "Alamo Mission in San Antonio", "Museum of Art of Puerto Rico", "Clementon Amusement Park", "Naval Air Station Pensacola", "Louisville Zoo", "Thomas Jefferson Memorial", "Tillicum Village", "Hilltop Ski Area", "Bodega Bay", "Busch Gardens Tampa Bay", "Angel Island", "Soak City", "Palisades Amusement Park", "Fun Spot Amusement Park & Zoo", "Solomon R. Guggenheim Museum", "Los Alamos", "Wild Adventures", "Museum of Contemporary Art Detroit", "Mystery Spot", "MarineLand", "Copper Harbor Light", "Detroit Zoo", "Joyland Amusement Park", "Six Flags New England", "Holiday World & Splashin' Safari", "White Water Bay", "Islands of Adventure", "Crown Center", "Revere Beach", "Hawk Mountain Sanctuary", "Grand Traverse Bay", "Kenai Fjords National Park", "Six Flags Great Adventure", "Statue of Liberty", "Harry P. Leu Gardens", "Luna Park, Coney Island", "NRH2O", "Los Angeles County Museum of Art", "Alcatraz Island", "Carowinds", "Hollywood Boulevard", "USS Silversides", "Daytona Lagoon", "Ryman Auditorium", "Six Flags Great America", "New England Aquarium", "Georgia Aquarium", "Sesame Place", "Nickelodeon Universe", "Baker Beach", "Epcot", "Wet 'n Wild Emerald Pointe", "Hollywood Sign", "Elliott Museum", "Discovery Cove", "Knoebels Amusement Resort", "Disney's River Country", "Beech Bend Park", "Waterville USA", "Independence Pass", "Kings Dominion", "Pilot Butte", "Six Flags Over Texas", "Bowcraft Amusement Park", "Alex Theatre", "Land of Oz", "SplashTown Houston", "White House", "Kentucky Kingdom", "Aquatica", "Hersheypark", "Bushnell Center for the Performing Arts", "Wild River Country", "Pullen Park", "XIT Museum", "Mount Hood", "Adventureland", "Eleutherian College", "Universal Orlando", "Wet 'n Wild Orlando", "Santa's Village", "Newport Casino", "Santa Cruz Island", "Wild Waves Theme Park", "Arkansas Post National Memorial", "Georgia Dome", "Enchanted Forest", "Schlitterbahn New Braunfels", "Sea Pines Resort", "Downtown Disney", "Alaska Zoo", "University of North Dakota", "Cedar Point", "Discovery World", "Water Country", "Fort Klock", "Geauga Lake", "Forsyth Park", "Savannah Victorian Historic District", "Dorney Park & Wildwater Kingdom", "Liberty Bell", "Crissy Field", "Asian Art Museum of San Francisco", "Twin Peaks", "Tweetsie Railroad", "Michigan's Adventure", "Water Wizz", "Yellowstone National Park", "Slater Mill Historic Site", "Darien Lake", "Madison Square Garden", "Morey's Piers", "Yosemite National Park", "Walt Disney Concert Hall", "Fisher Building", "Ghost Town in the Sky", "Mall of America", "Belmont Park", "Luxor Las Vegas", "Science Museum of Minnesota", "Mount Mansfield", "Las Vegas Strip", "Squaw Valley", "Wannado City", "DisneyQuest", "Disney's Blizzard Beach", "Roger Williams Park Zoo", "La Fortaleza", "Freestyle Music Park", "Fremont Street Experience", "Prickett's Fort State Park", "Santana Row", "Cliff's Amusement Park", "Mendenhall Glacier", "Denver Botanic Gardens", "Mary and Leigh Block Museum of Art", "Naomi Institute", "Magic Kingdom", "Splash Adventure", "Chinatown", "Mazda Raceway Laguna Seca", "Oceans of Fun", "Hollywood Walk of Fame", "Bailey House Museum", "Assateague Island National Seashore", "Action Park", "University of Louisiana at Lafayette", "Rhode Island Convention Center", "Sandcastle Waterpark", "Lake Pepin", "Six Flags America", "Anacapa Island", "Flaming Gorge Reservoir", "Olvera Street", "Air Zoo", "Space Needle", "Big Powderhorn Mountain", "Dallas Arboretum and Botanical Garden", "Chesapeake and Ohio Canal National Historical Park", "Peoria Civic Center", "Zoombezi Bay", "Splish Splash", "Warner Theatre", "Lake Winnepesaukah", "Mesa Verde National Park", "Lookout Mountain", "Fox Theatre", "Jewish Theological Seminary of America Library", "Pebble Beach Golf Links", "Wild Waters", "Empire State Building", "DelGrosso's Amusement Park", "Six Flags White Water", "Marine Corps War Memorial", "Polynesian Cultural Center", "Hacienda Buena Vista", "Adventureland", "Mammoth Cave National Park", "Great Escape", "Barstow Route 66 Mother Road Museum", "Camelbeach Waterpark", "Canobie Lake Park", "University of Wisconsin-Oshkosh", "Durango–La Plata County Airport", "Indiana Beach", "Napa Valley AVA", "Oregon Garden", "TCL Chinese Theatre", "Six Flags Fiesta Texas", "Worlds of Fun", "Philadelphia Museum of Art", "Institute of American Indian Arts", "Shedd Aquarium", "Opryland USA", "Western American Railroad Museum", "Mountain Park", "Meaher State Park", "Pennsylvania Academy of the Fine Arts", "Victoria Theatre", "Brandywine Zoo", "Playland", "Dinosaur World", "Bunker Beach", "New Haven Green", "Idlewild and Soak Zone", "San Diego Zoo Safari Park", "Zoo Atlanta", "Waldameer Park", "Bay Beach Amusement Park", "Rapids Water Park", "USS Lionfish", "Fun-World", "Salem Willows", "Dunkin' Donuts Center", "Cannery Row", "Comerica Park", "Splash Down Waterpark", "American Swedish Institute", "Conneaut Lake Park", "Disney's Typhoon Lagoon", "Pleasure Island", "Delaware Art Museum", "San Francisco Museum of Modern Art", "Stevens Institute of Technology", "Savannah River", "Memphis Kiddie Park", "Dolby Theatre", "Splash in the Boro", "Tempe Town Lake", "Birmingham Zoo", "Brooklyn Botanic Garden", "Binder Park Zoo", "Woodruff Arts Center", "Camden Park", "Summer Waves", "Adirondack Mountains", "Landmark Theatre", "Amerind Foundation", "Land of Make Believe", "Funtown Splashtown USA", "New Jersey Performing Arts Center", "Collegiate Peaks", "Kemah Boardwalk", "Disney's Hollywood Studios", "Busch Gardens Williamsburg", "Splashtown San Antonio", "Gunstock Mountain Resort", "ESPN Wide World of Sports Complex", "Hawaiian Falls Roanoke", "Nu‘uanu Pali", "Magic Springs and Crystal Falls", "Lakemont Park", "Las Cascadas Water Park", "Downtown Disney", "Centennial Olympic Park" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000300, "question": "make a comprehensive list of tourist attractions in the united states of america.", "answer": [ "Flaming Gorge Reservoir", "Zoo Atlanta", "Hilltop Ski Area", "Brooklyn Botanic Garden", "Museum of Contemporary Art Detroit", "Islands of Adventure", "Cedar Point", "Newport Casino", "Tillicum Village", "Western American Railroad Museum", "Prickett's Fort State Park", "Bailey House Museum", "Soak City", "Sea Pines Resort", "Statue of Liberty", "Mesa Verde National Park", "Mary and Leigh Block Museum of Art", "Pebble Beach Golf Links", "Summer Waves", "Six Flags Great Adventure", "Yosemite National Park", "Meaher State Park", "Disney's Blizzard Beach", "Tempe Town Lake", "Grand Canyon", "Fort Klock", "Georgia Aquarium", "Comerica Park", "Mazda Raceway Laguna Seca", "Wild Waves Theme Park", "New England Aquarium", "Lookout Mountain", "Funtown Splashtown USA", "Wild River Country", "Enchanted Forest", "Los Alamos", "Kenai Fjords National Park", "Durango–La Plata County Airport", "Santa's Village", "Santana Row", "Air Zoo", "Splash Adventure", "Liberty Bell", "Philadelphia Museum of Art", "Detroit Zoo", "Magic Springs and Crystal Falls", "Delaware Art Museum", "White House", "Lakemont Park", "Splash in the Boro", "Napa Valley AVA", "Assateague Island National Seashore", "Asian Art Museum of San Francisco", "Eleutherian College", "Michigan's Adventure", "Landmark Theatre", "Roger Williams Park Zoo", "Palisades Amusement Park", "Independence Pass", "Waldameer Park", "Six Flags Over Texas", "Lake Pepin", "Water Country", "Six Flags New England", "Playland", "Rhode Island Convention Center", "Forsyth Park", "Mount Hood", "Tweetsie Railroad", "Oregon Garden", "Six Flags America", "Darien Lake", "Peoria Civic Center", "Olvera Street", "Sandcastle Waterpark", "Nickelodeon Universe", "Twin Peaks", "Georgia Dome", "Shedd Aquarium", "Warner Theatre", "Camelbeach Waterpark", "New Haven Green", "Belmont Park", "Museum of Art of Puerto Rico", "Discovery Cove", "Cannery Row", "Waterville USA", "Geauga Lake", "Chesapeake and Ohio Canal National Historical Park", "Silver Dollar City", "Dorney Park & Wildwater Kingdom", "Schlitterbahn New Braunfels", "Adirondack Mountains", "Wild Waters", "Savannah Victorian Historic District", "Beech Bend Park", "Hacienda Buena Vista", "Luna Park, Coney Island", "Walt Disney Concert Hall", "Action Park", "New Jersey Performing Arts Center", "Busch Gardens Tampa Bay", "Dunkin' Donuts Center", "Revere Beach", "Bunker Beach", "Bodega Bay", "White Water Bay", "Barstow Route 66 Mother Road Museum", "San Francisco Museum of Modern Art", "Las Vegas Strip", "Great Escape", "Adventureland", "Holiday World & Splashin' Safari", "Disney's River Country", "NRH2O", "Brandywine Zoo", "Epcot", "Gunstock Mountain Resort", "Discovery World", "Freestyle Music Park", "Stevens Institute of Technology", "Zoombezi Bay", "Worlds of Fun", "Lagoon Amusement Park", "Fun-World", "Naomi Institute", "Kentucky Kingdom", "MarineLand", "Birmingham Zoo", "Centennial Olympic Park", "Enchanted Forest", "La Fortaleza", "Dallas Arboretum and Botanical Garden", "Bowcraft Amusement Park", "Crown Center", "Amerind Foundation", "Land of Oz", "Camden Park", "Yellowstone National Park", "Six Flags Fiesta Texas", "Woodruff Arts Center", "Canobie Lake Park", "Hollywood Boulevard", "Mammoth Cave National Park", "Elliott Museum", "Ryman Auditorium", "Knoebels Amusement Resort", "Naval Air Station Pensacola", "Arkansas Post National Memorial", "Freedomland U.S.A.", "Six Flags Over Georgia", "Aquatica", "Dinosaur World", "Indiana Beach", "Mount Mansfield", "Fisher Building", "Mall of America", "Splash Down Waterpark", "Land of Make Believe", "American Swedish Institute", "SplashTown Houston", "Space Needle", "Lake Winnepesaukah", "Big Powderhorn Mountain", "Angel Island", "Polynesian Cultural Center", "Splashtown San Antonio", "Downtown Disney", "Hollywood Walk of Fame", "University of Louisiana at Lafayette", "Bushnell Center for the Performing Arts", "Cliff's Amusement Park", "Kings Island", "Carowinds", "Victoria Theatre", "Santa Cruz Island", "Science Museum of Minnesota", "Luxor Las Vegas", "Savannah River", "Collegiate Peaks", "Fox Theatre", "Solomon R. Guggenheim Museum", "Wannado City", "Adventureland", "Fremont Street Experience", "TCL Chinese Theatre", "Hawk Mountain Sanctuary", "Pullen Park", "Disney's Animal Kingdom", "Bay Beach Amusement Park", "Six Flags White Water", "ESPN Wide World of Sports Complex", "Dolby Theatre", "Madison Square Garden", "Disney's Hollywood Studios", "Memphis Kiddie Park", "Grand Traverse Bay", "Hollywood Sign", "Universal Orlando", "San Diego Zoo Safari Park", "DisneyQuest", "Alex Theatre", "XIT Museum", "Rapids Water Park", "Busch Gardens Williamsburg", "Mystery Spot", "Conneaut Lake Park", "Water Wizz", "Opryland USA", "Anacapa Island", "University of North Dakota", "USS Lionfish", "Pilot Butte", "Squaw Valley", "Wild Adventures", "Six Flags Great America", "Louisville Zoo", "Chinatown", "Thomas Jefferson Memorial", "Pleasure Island", "Hawaiian Falls Roanoke", "DelGrosso's Amusement Park", "Kemah Boardwalk", "Magic Kingdom", "Idlewild and Soak Zone", "University of Wisconsin-Oshkosh", "Ghost Town in the Sky", "Joyland Amusement Park", "Slater Mill Historic Site", "Disney's Typhoon Lagoon", "Jewish Theological Seminary of America Library", "Kings Dominion", "Los Angeles County Museum of Art", "Marine Corps War Memorial", "Daytona Lagoon", "Baker Beach", "Empire State Building", "Binder Park Zoo", "Old Point Loma Lighthouse", "Alcatraz Island", "Mountain Park", "Myrtle Waves", "Splish Splash", "Las Cascadas Water Park", "Knott's Berry Farm", "Oceans of Fun", "Fun Spot Amusement Park & Zoo", "Wet 'n Wild Orlando", "Downtown Disney", "Pennsylvania Academy of the Fine Arts", "Alaska Zoo", "Institute of American Indian Arts", "Copper Harbor Light", "Clementon Amusement Park", "Sesame Place", "Salem Willows", "Morey's Piers", "Art Institute of Chicago", "USS Silversides", "Hersheypark", "Alamo Mission in San Antonio", "Nu‘uanu Pali", "Wet 'n Wild Emerald Pointe", "Denver Botanic Gardens", "Crissy Field", "Mendenhall Glacier", "Harry P. Leu Gardens" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000301, "question": "make a comprehensive list of tourist attractions in the us.", "answer": [ "Santa Cruz Island", "Philadelphia Museum of Art", "Land of Make Believe", "Brandywine Zoo", "Anacapa Island", "TCL Chinese Theatre", "Gunstock Mountain Resort", "Assateague Island National Seashore", "Hilltop Ski Area", "Nu‘uanu Pali", "Detroit Zoo", "San Diego Zoo Safari Park", "Santana Row", "Freedomland U.S.A.", "Collegiate Peaks", "Zoo Atlanta", "Centennial Olympic Park", "Disney's Animal Kingdom", "Dorney Park & Wildwater Kingdom", "Dallas Arboretum and Botanical Garden", "Salem Willows", "SplashTown Houston", "Hawk Mountain Sanctuary", "Revere Beach", "Splash Down Waterpark", "Eleutherian College", "Las Vegas Strip", "Comerica Park", "Slater Mill Historic Site", "Great Escape", "Hawaiian Falls Roanoke", "Zoombezi Bay", "Mystery Spot", "Canobie Lake Park", "Sesame Place", "San Francisco Museum of Modern Art", "Carowinds", "Alaska Zoo", "Yellowstone National Park", "American Swedish Institute", "Enchanted Forest", "Walt Disney Concert Hall", "Soak City", "NRH2O", "DisneyQuest", "Splashtown San Antonio", "Las Cascadas Water Park", "Bodega Bay", "Old Point Loma Lighthouse", "Mount Mansfield", "Magic Springs and Crystal Falls", "Pebble Beach Golf Links", "Rapids Water Park", "Water Country", "Amerind Foundation", "Camelbeach Waterpark", "Mary and Leigh Block Museum of Art", "Brooklyn Botanic Garden", "Fun-World", "Art Institute of Chicago", "Playland", "Pleasure Island", "Oregon Garden", "Woodruff Arts Center", "Polynesian Cultural Center", "Waldameer Park", "Downtown Disney", "Asian Art Museum of San Francisco", "Delaware Art Museum", "Lake Winnepesaukah", "Space Needle", "Los Alamos", "University of North Dakota", "Geauga Lake", "Newport Casino", "Dolby Theatre", "Magic Kingdom", "Bowcraft Amusement Park", "Grand Canyon", "Belmont Park", "Pullen Park", "Peoria Civic Center", "Universal Orlando", "Durango–La Plata County Airport", "Independence Pass", "Meaher State Park", "Lake Pepin", "White House", "Mammoth Cave National Park", "Summer Waves", "Hacienda Buena Vista", "New Haven Green", "Chesapeake and Ohio Canal National Historical Park", "Museum of Art of Puerto Rico", "Disney's Typhoon Lagoon", "Kings Dominion", "Rhode Island Convention Center", "University of Wisconsin-Oshkosh", "Adventureland", "Air Zoo", "Oceans of Fun", "Discovery World", "Denver Botanic Gardens", "Fisher Building", "Landmark Theatre", "Joyland Amusement Park", "Naomi Institute", "Silver Dollar City", "Knoebels Amusement Resort", "Wild River Country", "Ryman Auditorium", "Worlds of Fun", "Mountain Park", "Institute of American Indian Arts", "Harry P. Leu Gardens", "Napa Valley AVA", "Hollywood Boulevard", "Six Flags Over Texas", "Crown Center", "Tweetsie Railroad", "Action Park", "Nickelodeon Universe", "USS Silversides", "Angel Island", "Fox Theatre", "Knott's Berry Farm", "Big Powderhorn Mountain", "Savannah River", "Georgia Aquarium", "Six Flags Great America", "Olvera Street", "Fort Klock", "Science Museum of Minnesota", "Roger Williams Park Zoo", "Western American Railroad Museum", "White Water Bay", "Wannado City", "Ghost Town in the Sky", "Six Flags Great Adventure", "Wet 'n Wild Emerald Pointe", "Bushnell Center for the Performing Arts", "Shedd Aquarium", "Discovery Cove", "Busch Gardens Tampa Bay", "Six Flags America", "Arkansas Post National Memorial", "Marine Corps War Memorial", "Adirondack Mountains", "Naval Air Station Pensacola", "Disney's River Country", "Opryland USA", "Kings Island", "Pilot Butte", "Wild Waters", "Victoria Theatre", "Luna Park, Coney Island", "Land of Oz", "New Jersey Performing Arts Center", "Thomas Jefferson Memorial", "Elliott Museum", "Grand Traverse Bay", "USS Lionfish", "Bay Beach Amusement Park", "Museum of Contemporary Art Detroit", "Funtown Splashtown USA", "New England Aquarium", "Cliff's Amusement Park", "Cedar Point", "Birmingham Zoo", "Wet 'n Wild Orlando", "Los Angeles County Museum of Art", "Tillicum Village", "Fun Spot Amusement Park & Zoo", "Splash in the Boro", "Downtown Disney", "Adventureland", "Myrtle Waves", "Enchanted Forest", "Bunker Beach", "Clementon Amusement Park", "Cannery Row", "Hollywood Walk of Fame", "Dunkin' Donuts Center", "ESPN Wide World of Sports Complex", "University of Louisiana at Lafayette", "Louisville Zoo", "Mount Hood", "Disney's Blizzard Beach", "Alamo Mission in San Antonio", "Epcot", "DelGrosso's Amusement Park", "Six Flags New England", "Fremont Street Experience", "Holiday World & Splashin' Safari", "Idlewild and Soak Zone", "Baker Beach", "Palisades Amusement Park", "Chinatown", "Mall of America", "Daytona Lagoon", "Liberty Bell", "Lookout Mountain", "MarineLand", "Twin Peaks", "Dinosaur World", "Wild Adventures", "Wild Waves Theme Park", "Tempe Town Lake", "Crissy Field", "Warner Theatre", "Savannah Victorian Historic District", "Mesa Verde National Park", "Forsyth Park", "Flaming Gorge Reservoir", "Lagoon Amusement Park", "Binder Park Zoo", "Michigan's Adventure", "Jewish Theological Seminary of America Library", "Islands of Adventure", "Freestyle Music Park", "Darien Lake", "Indiana Beach", "Santa's Village", "Prickett's Fort State Park", "Busch Gardens Williamsburg", "Alex Theatre", "Waterville USA", "La Fortaleza", "Conneaut Lake Park", "Aquatica", "Madison Square Garden", "Disney's Hollywood Studios", "Morey's Piers", "Bailey House Museum", "Six Flags Fiesta Texas", "Luxor Las Vegas", "Copper Harbor Light", "Barstow Route 66 Mother Road Museum", "Six Flags White Water", "Yosemite National Park", "Kemah Boardwalk", "Splish Splash", "Six Flags Over Georgia", "Splash Adventure", "Memphis Kiddie Park", "XIT Museum", "Pennsylvania Academy of the Fine Arts", "Empire State Building", "Mazda Raceway Laguna Seca", "Camden Park", "Alcatraz Island", "Hollywood Sign", "Water Wizz", "Mendenhall Glacier", "Georgia Dome", "Beech Bend Park", "Hersheypark", "Kentucky Kingdom", "Squaw Valley", "Stevens Institute of Technology", "Solomon R. Guggenheim Museum", "Kenai Fjords National Park", "Lakemont Park", "Sea Pines Resort", "Sandcastle Waterpark", "Statue of Liberty", "Schlitterbahn New Braunfels" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000302, "question": "make a comprehensive list of tourist attractions in the united states.", "answer": [ "Fun-World", "Disney's Typhoon Lagoon", "Nickelodeon Universe", "Amerind Foundation", "Savannah Victorian Historic District", "Polynesian Cultural Center", "Six Flags Great Adventure", "Bodega Bay", "Eleutherian College", "Shedd Aquarium", "Empire State Building", "Space Needle", "Barstow Route 66 Mother Road Museum", "Dolby Theatre", "Water Country", "Hilltop Ski Area", "La Fortaleza", "Mall of America", "Cedar Point", "Durango–La Plata County Airport", "Clementon Amusement Park", "Oregon Garden", "Wannado City", "Newport Casino", "NRH2O", "Victoria Theatre", "Hersheypark", "Los Angeles County Museum of Art", "Pilot Butte", "Meaher State Park", "Dunkin' Donuts Center", "Alcatraz Island", "TCL Chinese Theatre", "Hawk Mountain Sanctuary", "Universal Orlando", "Canobie Lake Park", "Palisades Amusement Park", "Dinosaur World", "Splash Down Waterpark", "Liberty Bell", "Birmingham Zoo", "Anacapa Island", "Fisher Building", "Slater Mill Historic Site", "Alamo Mission in San Antonio", "Holiday World & Splashin' Safari", "Georgia Dome", "Brooklyn Botanic Garden", "Geauga Lake", "Naval Air Station Pensacola", "Playland", "Arkansas Post National Memorial", "Lookout Mountain", "Fort Klock", "Joyland Amusement Park", "Santa Cruz Island", "Brandywine Zoo", "Pebble Beach Golf Links", "Darien Lake", "Magic Springs and Crystal Falls", "Napa Valley AVA", "Angel Island", "Crown Center", "Warner Theatre", "Asian Art Museum of San Francisco", "Six Flags America", "Adirondack Mountains", "Louisville Zoo", "Bailey House Museum", "Art Institute of Chicago", "Rapids Water Park", "Stevens Institute of Technology", "Six Flags New England", "Wild Waves Theme Park", "Adventureland", "Silver Dollar City", "Tempe Town Lake", "Pleasure Island", "Olvera Street", "Zoo Atlanta", "Zoombezi Bay", "Detroit Zoo", "Grand Traverse Bay", "Squaw Valley", "Delaware Art Museum", "Bunker Beach", "Kenai Fjords National Park", "Discovery World", "University of Wisconsin-Oshkosh", "Ryman Auditorium", "Summer Waves", "Mendenhall Glacier", "Opryland USA", "Schlitterbahn New Braunfels", "Disney's Animal Kingdom", "Santa's Village", "Fun Spot Amusement Park & Zoo", "Morey's Piers", "Hollywood Boulevard", "Busch Gardens Tampa Bay", "Mammoth Cave National Park", "Bushnell Center for the Performing Arts", "Six Flags Fiesta Texas", "Freedomland U.S.A.", "New Jersey Performing Arts Center", "Mary and Leigh Block Museum of Art", "Tillicum Village", "Great Escape", "Disney's Blizzard Beach", "Downtown Disney", "Downtown Disney", "New Haven Green", "Idlewild and Soak Zone", "Bowcraft Amusement Park", "Copper Harbor Light", "Alaska Zoo", "Solomon R. Guggenheim Museum", "Wild Adventures", "Mount Hood", "Kings Dominion", "DisneyQuest", "Sandcastle Waterpark", "American Swedish Institute", "White Water Bay", "Michigan's Adventure", "Funtown Splashtown USA", "Beech Bend Park", "SplashTown Houston", "Islands of Adventure", "Elliott Museum", "Hollywood Sign", "USS Lionfish", "Philadelphia Museum of Art", "Kings Island", "Woodruff Arts Center", "Hollywood Walk of Fame", "Disney's River Country", "Wet 'n Wild Orlando", "Lake Winnepesaukah", "Enchanted Forest", "Chinatown", "Collegiate Peaks", "Grand Canyon", "Luxor Las Vegas", "Lagoon Amusement Park", "Denver Botanic Gardens", "Memphis Kiddie Park", "Wet 'n Wild Emerald Pointe", "Science Museum of Minnesota", "Salem Willows", "Institute of American Indian Arts", "Freestyle Music Park", "Splash in the Boro", "University of Louisiana at Lafayette", "Splash Adventure", "Alex Theatre", "Crissy Field", "Pennsylvania Academy of the Fine Arts", "Splashtown San Antonio", "Mystery Spot", "Bay Beach Amusement Park", "Discovery Cove", "Lakemont Park", "White House", "New England Aquarium", "Cliff's Amusement Park", "ESPN Wide World of Sports Complex", "Waterville USA", "Savannah River", "Pullen Park", "Kemah Boardwalk", "Statue of Liberty", "Comerica Park", "Baker Beach", "Mountain Park", "Lake Pepin", "Fox Theatre", "Yellowstone National Park", "Museum of Art of Puerto Rico", "Daytona Lagoon", "Wild Waters", "San Francisco Museum of Modern Art", "Indiana Beach", "Busch Gardens Williamsburg", "Water Wizz", "Santana Row", "University of North Dakota", "Air Zoo", "Oceans of Fun", "Revere Beach", "Luna Park, Coney Island", "Mount Mansfield", "MarineLand", "Mazda Raceway Laguna Seca", "Six Flags White Water", "Yosemite National Park", "Dorney Park & Wildwater Kingdom", "Western American Railroad Museum", "Magic Kingdom", "DelGrosso's Amusement Park", "Cannery Row", "Peoria Civic Center", "Old Point Loma Lighthouse", "Forsyth Park", "Georgia Aquarium", "Enchanted Forest", "Big Powderhorn Mountain", "Wild River Country", "Gunstock Mountain Resort", "Independence Pass", "Rhode Island Convention Center", "Roger Williams Park Zoo", "Adventureland", "Thomas Jefferson Memorial", "Land of Oz", "Land of Make Believe", "Binder Park Zoo", "Myrtle Waves", "Knott's Berry Farm", "Six Flags Over Texas", "Knoebels Amusement Resort", "Chesapeake and Ohio Canal National Historical Park", "Epcot", "Aquatica", "Dallas Arboretum and Botanical Garden", "Museum of Contemporary Art Detroit", "Six Flags Over Georgia", "Los Alamos", "Marine Corps War Memorial", "Conneaut Lake Park", "USS Silversides", "Nu‘uanu Pali", "Madison Square Garden", "Fremont Street Experience", "Flaming Gorge Reservoir", "Las Vegas Strip", "XIT Museum", "Splish Splash", "Hawaiian Falls Roanoke", "Hacienda Buena Vista", "Harry P. Leu Gardens", "Kentucky Kingdom", "Mesa Verde National Park", "Action Park", "Centennial Olympic Park", "Sea Pines Resort", "Prickett's Fort State Park", "Jewish Theological Seminary of America Library", "Waldameer Park", "Disney's Hollywood Studios", "Camelbeach Waterpark", "Landmark Theatre", "Six Flags Great America", "Carowinds", "Belmont Park", "Las Cascadas Water Park", "Ghost Town in the Sky", "Naomi Institute", "Twin Peaks", "Worlds of Fun", "Assateague Island National Seashore", "Tweetsie Railroad", "Sesame Place", "Camden Park", "Walt Disney Concert Hall", "Soak City", "San Diego Zoo Safari Park" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000400, "question": "list all the tourist attractions in the united states of america.", "answer": [ "Bushnell Center for the Performing Arts", "Oceans of Fun", "Grand Traverse Bay", "Six Flags Over Texas", "SplashTown Houston", "Adventureland", "Sandcastle Waterpark", "White House", "Alamo Mission in San Antonio", "Lake Winnepesaukah", "Joyland Amusement Park", "Santana Row", "Squaw Valley", "Soak City", "Statue of Liberty", "Summer Waves", "Playland", "DisneyQuest", "Splash Down Waterpark", "Six Flags White Water", "Downtown Disney", "Sesame Place", "Tweetsie Railroad", "Solomon R. Guggenheim Museum", "Yellowstone National Park", "Warner Theatre", "Idlewild and Soak Zone", "Hollywood Sign", "Institute of American Indian Arts", "Disney's Animal Kingdom", "Discovery Cove", "Centennial Olympic Park", "White Water Bay", "Zoo Atlanta", "New England Aquarium", "Water Country", "Epcot", "Splash in the Boro", "Louisville Zoo", "Naomi Institute", "New Haven Green", "Luna Park, Coney Island", "Mammoth Cave National Park", "Hacienda Buena Vista", "Mystery Spot", "Canobie Lake Park", "Santa's Village", "Collegiate Peaks", "Brooklyn Botanic Garden", "Splish Splash", "Polynesian Cultural Center", "San Diego Zoo Safari Park", "Islands of Adventure", "Anacapa Island", "Durango–La Plata County Airport", "Science Museum of Minnesota", "Cliff's Amusement Park", "Madison Square Garden", "Wet 'n Wild Emerald Pointe", "Nu‘uanu Pali", "Prickett's Fort State Park", "Fun-World", "Old Point Loma Lighthouse", "Hollywood Boulevard", "Revere Beach", "Mountain Park", "MarineLand", "Slater Mill Historic Site", "DelGrosso's Amusement Park", "Six Flags Over Georgia", "Lagoon Amusement Park", "Michigan's Adventure", "Clementon Amusement Park", "Aquatica", "Dorney Park & Wildwater Kingdom", "Alcatraz Island", "Yosemite National Park", "Savannah Victorian Historic District", "Fisher Building", "Twin Peaks", "Schlitterbahn New Braunfels", "San Francisco Museum of Modern Art", "Delaware Art Museum", "Space Needle", "Geauga Lake", "Funtown Splashtown USA", "Empire State Building", "Flaming Gorge Reservoir", "Birmingham Zoo", "Chesapeake and Ohio Canal National Historical Park", "Georgia Dome", "Marine Corps War Memorial", "Landmark Theatre", "Ghost Town in the Sky", "Elliott Museum", "Crissy Field", "Alex Theatre", "Hawaiian Falls Roanoke", "University of Wisconsin-Oshkosh", "TCL Chinese Theatre", "Gunstock Mountain Resort", "Mount Mansfield", "Mesa Verde National Park", "Liberty Bell", "Museum of Contemporary Art Detroit", "Wannado City", "Adventureland", "Peoria Civic Center", "Sea Pines Resort", "Busch Gardens Williamsburg", "Pebble Beach Golf Links", "Land of Oz", "Detroit Zoo", "Alaska Zoo", "Myrtle Waves", "Art Institute of Chicago", "American Swedish Institute", "Newport Casino", "Hawk Mountain Sanctuary", "Bay Beach Amusement Park", "Los Alamos", "Los Angeles County Museum of Art", "Darien Lake", "Enchanted Forest", "XIT Museum", "Hersheypark", "Disney's River Country", "Adirondack Mountains", "Arkansas Post National Memorial", "Kemah Boardwalk", "Freestyle Music Park", "Six Flags Great America", "Georgia Aquarium", "Kenai Fjords National Park", "Copper Harbor Light", "La Fortaleza", "Air Zoo", "Enchanted Forest", "Wild Waves Theme Park", "Wild Waters", "Waldameer Park", "Las Cascadas Water Park", "Knott's Berry Farm", "Lake Pepin", "Jewish Theological Seminary of America Library", "Camelbeach Waterpark", "Disney's Hollywood Studios", "Woodruff Arts Center", "Universal Orlando", "Fun Spot Amusement Park & Zoo", "Magic Springs and Crystal Falls", "Shedd Aquarium", "Magic Kingdom", "Lookout Mountain", "Assateague Island National Seashore", "Walt Disney Concert Hall", "Wild River Country", "USS Silversides", "Beech Bend Park", "Eleutherian College", "Las Vegas Strip", "New Jersey Performing Arts Center", "Cedar Point", "Worlds of Fun", "Savannah River", "Water Wizz", "Western American Railroad Museum", "Tillicum Village", "Morey's Piers", "Bodega Bay", "Discovery World", "Salem Willows", "USS Lionfish", "Thomas Jefferson Memorial", "University of Louisiana at Lafayette", "Chinatown", "Opryland USA", "Kings Island", "Brandywine Zoo", "Indiana Beach", "Kings Dominion", "Mendenhall Glacier", "Binder Park Zoo", "Ryman Auditorium", "Meaher State Park", "Dinosaur World", "University of North Dakota", "Napa Valley AVA", "Big Powderhorn Mountain", "Luxor Las Vegas", "Denver Botanic Gardens", "Six Flags Great Adventure", "Freedomland U.S.A.", "Wet 'n Wild Orlando", "Mazda Raceway Laguna Seca", "Amerind Foundation", "Museum of Art of Puerto Rico", "Hollywood Walk of Fame", "Independence Pass", "Comerica Park", "Pullen Park", "Lakemont Park", "Harry P. Leu Gardens", "Holiday World & Splashin' Safari", "Pleasure Island", "Dallas Arboretum and Botanical Garden", "Six Flags America", "Conneaut Lake Park", "Busch Gardens Tampa Bay", "Splashtown San Antonio", "Victoria Theatre", "Kentucky Kingdom", "Six Flags Fiesta Texas", "Great Escape", "Six Flags New England", "Dolby Theatre", "Dunkin' Donuts Center", "Bunker Beach", "Santa Cruz Island", "Bailey House Museum", "Waterville USA", "Mall of America", "NRH2O", "Fort Klock", "Bowcraft Amusement Park", "Cannery Row", "Nickelodeon Universe", "Philadelphia Museum of Art", "Angel Island", "Rhode Island Convention Center", "Tempe Town Lake", "Wild Adventures", "Pennsylvania Academy of the Fine Arts", "Grand Canyon", "Silver Dollar City", "Carowinds", "ESPN Wide World of Sports Complex", "Daytona Lagoon", "Disney's Blizzard Beach", "Palisades Amusement Park", "Land of Make Believe", "Belmont Park", "Memphis Kiddie Park", "Camden Park", "Action Park", "Baker Beach", "Fox Theatre", "Fremont Street Experience", "Mary and Leigh Block Museum of Art", "Olvera Street", "Mount Hood", "Knoebels Amusement Resort", "Oregon Garden", "Pilot Butte", "Asian Art Museum of San Francisco", "Splash Adventure", "Hilltop Ski Area", "Rapids Water Park", "Forsyth Park", "Naval Air Station Pensacola", "Downtown Disney", "Stevens Institute of Technology", "Disney's Typhoon Lagoon", "Crown Center", "Barstow Route 66 Mother Road Museum", "Roger Williams Park Zoo", "Zoombezi Bay" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000401, "question": "list all the tourist attractions in the us.", "answer": [ "University of North Dakota", "Marine Corps War Memorial", "Detroit Zoo", "Six Flags Great Adventure", "Cedar Point", "Santa Cruz Island", "Conneaut Lake Park", "Kings Dominion", "Eleutherian College", "Enchanted Forest", "Wild Waters", "Dunkin' Donuts Center", "Adirondack Mountains", "Comerica Park", "Wild Waves Theme Park", "Six Flags New England", "Six Flags Great America", "Holiday World & Splashin' Safari", "Hollywood Sign", "Thomas Jefferson Memorial", "Grand Canyon", "Science Museum of Minnesota", "Chinatown", "Downtown Disney", "Camden Park", "Downtown Disney", "Luna Park, Coney Island", "Funtown Splashtown USA", "Zoombezi Bay", "Mount Hood", "Darien Lake", "Tempe Town Lake", "Sea Pines Resort", "Tweetsie Railroad", "Bushnell Center for the Performing Arts", "Georgia Dome", "Waldameer Park", "Myrtle Waves", "Independence Pass", "Hollywood Walk of Fame", "Arkansas Post National Memorial", "Carowinds", "Ryman Auditorium", "Flaming Gorge Reservoir", "Mesa Verde National Park", "Knoebels Amusement Resort", "Bowcraft Amusement Park", "Gunstock Mountain Resort", "Collegiate Peaks", "University of Louisiana at Lafayette", "Discovery World", "Water Wizz", "Los Alamos", "Empire State Building", "Waterville USA", "Asian Art Museum of San Francisco", "La Fortaleza", "Polynesian Cultural Center", "Schlitterbahn New Braunfels", "Memphis Kiddie Park", "Kenai Fjords National Park", "Splish Splash", "Mazda Raceway Laguna Seca", "Freedomland U.S.A.", "Landmark Theatre", "ESPN Wide World of Sports Complex", "Aquatica", "Disney's Hollywood Studios", "Fremont Street Experience", "Wannado City", "Action Park", "Anacapa Island", "Harry P. Leu Gardens", "Nu‘uanu Pali", "Lake Winnepesaukah", "Epcot", "Knott's Berry Farm", "Amerind Foundation", "Santa's Village", "Discovery Cove", "Grand Traverse Bay", "Roger Williams Park Zoo", "Meaher State Park", "Hawk Mountain Sanctuary", "Dolby Theatre", "Copper Harbor Light", "Bay Beach Amusement Park", "TCL Chinese Theatre", "Michigan's Adventure", "Splash Adventure", "San Francisco Museum of Modern Art", "Los Angeles County Museum of Art", "Magic Kingdom", "Soak City", "Pilot Butte", "Palisades Amusement Park", "Olvera Street", "Brandywine Zoo", "Hacienda Buena Vista", "Indiana Beach", "Silver Dollar City", "Denver Botanic Gardens", "Birmingham Zoo", "Hollywood Boulevard", "Liberty Bell", "Opryland USA", "Daytona Lagoon", "Idlewild and Soak Zone", "Western American Railroad Museum", "Big Powderhorn Mountain", "Statue of Liberty", "Six Flags White Water", "Napa Valley AVA", "Splash Down Waterpark", "Rhode Island Convention Center", "DisneyQuest", "Mary and Leigh Block Museum of Art", "Salem Willows", "Fox Theatre", "Camelbeach Waterpark", "Naval Air Station Pensacola", "Fun-World", "Adventureland", "Alamo Mission in San Antonio", "New Jersey Performing Arts Center", "Savannah River", "Barstow Route 66 Mother Road Museum", "Assateague Island National Seashore", "Institute of American Indian Arts", "Forsyth Park", "Sesame Place", "Universal Orlando", "MarineLand", "Pebble Beach Golf Links", "Alaska Zoo", "Clementon Amusement Park", "Alex Theatre", "Lake Pepin", "Philadelphia Museum of Art", "Squaw Valley", "Chesapeake and Ohio Canal National Historical Park", "Disney's Typhoon Lagoon", "Cliff's Amusement Park", "Revere Beach", "Summer Waves", "Victoria Theatre", "Yosemite National Park", "Zoo Atlanta", "Nickelodeon Universe", "Disney's Blizzard Beach", "Canobie Lake Park", "Disney's Animal Kingdom", "DelGrosso's Amusement Park", "Space Needle", "Six Flags Over Georgia", "Splashtown San Antonio", "Adventureland", "Mall of America", "Busch Gardens Williamsburg", "Naomi Institute", "Durango–La Plata County Airport", "Centennial Olympic Park", "Pleasure Island", "Lakemont Park", "Wet 'n Wild Orlando", "Crissy Field", "Savannah Victorian Historic District", "Slater Mill Historic Site", "Museum of Contemporary Art Detroit", "NRH2O", "Mountain Park", "Pullen Park", "Prickett's Fort State Park", "Luxor Las Vegas", "Stevens Institute of Technology", "Magic Springs and Crystal Falls", "University of Wisconsin-Oshkosh", "Islands of Adventure", "Solomon R. Guggenheim Museum", "Oregon Garden", "Disney's River Country", "San Diego Zoo Safari Park", "Joyland Amusement Park", "Great Escape", "Walt Disney Concert Hall", "Dinosaur World", "Freestyle Music Park", "Sandcastle Waterpark", "USS Silversides", "Binder Park Zoo", "Lagoon Amusement Park", "Yellowstone National Park", "Wet 'n Wild Emerald Pointe", "SplashTown Houston", "Mendenhall Glacier", "Six Flags Fiesta Texas", "Hilltop Ski Area", "Geauga Lake", "Wild Adventures", "Playland", "Dallas Arboretum and Botanical Garden", "Elliott Museum", "Old Point Loma Lighthouse", "Mammoth Cave National Park", "Las Cascadas Water Park", "Twin Peaks", "Santana Row", "Fort Klock", "Newport Casino", "Las Vegas Strip", "Oceans of Fun", "Peoria Civic Center", "White Water Bay", "Belmont Park", "New Haven Green", "New England Aquarium", "Wild River Country", "Angel Island", "Land of Make Believe", "Worlds of Fun", "Shedd Aquarium", "Museum of Art of Puerto Rico", "Pennsylvania Academy of the Fine Arts", "Bunker Beach", "Fun Spot Amusement Park & Zoo", "White House", "Mount Mansfield", "XIT Museum", "Mystery Spot", "Air Zoo", "Hersheypark", "Ghost Town in the Sky", "Bailey House Museum", "Morey's Piers", "Water Country", "Art Institute of Chicago", "Beech Bend Park", "Madison Square Garden", "Six Flags Over Texas", "Alcatraz Island", "Georgia Aquarium", "Dorney Park & Wildwater Kingdom", "Brooklyn Botanic Garden", "Warner Theatre", "Land of Oz", "Cannery Row", "Louisville Zoo", "Kentucky Kingdom", "Enchanted Forest", "Delaware Art Museum", "Six Flags America", "Fisher Building", "Bodega Bay", "Jewish Theological Seminary of America Library", "Baker Beach", "Rapids Water Park", "Woodruff Arts Center", "Tillicum Village", "Hawaiian Falls Roanoke", "Splash in the Boro", "Lookout Mountain", "Crown Center", "Busch Gardens Tampa Bay", "Kings Island", "American Swedish Institute", "Kemah Boardwalk", "USS Lionfish" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000402, "question": "list all the tourist attractions in the united states.", "answer": [ "Grand Canyon", "Luxor Las Vegas", "Crown Center", "Islands of Adventure", "Mount Mansfield", "Solomon R. Guggenheim Museum", "Mary and Leigh Block Museum of Art", "Pilot Butte", "Alamo Mission in San Antonio", "Kings Island", "Lagoon Amusement Park", "Six Flags New England", "Clementon Amusement Park", "Carowinds", "Fun-World", "Camden Park", "Playland", "Chinatown", "Lake Pepin", "Bunker Beach", "Luna Park, Coney Island", "Kentucky Kingdom", "Los Alamos", "Asian Art Museum of San Francisco", "Baker Beach", "Rapids Water Park", "Las Vegas Strip", "Harry P. Leu Gardens", "Wild Waves Theme Park", "Disney's River Country", "New Haven Green", "Cedar Point", "Museum of Contemporary Art Detroit", "Walt Disney Concert Hall", "Philadelphia Museum of Art", "Santana Row", "Science Museum of Minnesota", "Six Flags Fiesta Texas", "Tweetsie Railroad", "Enchanted Forest", "Dallas Arboretum and Botanical Garden", "Delaware Art Museum", "Kings Dominion", "Woodruff Arts Center", "Brooklyn Botanic Garden", "Splash Adventure", "USS Silversides", "Universal Orlando", "Nickelodeon Universe", "Meaher State Park", "Liberty Bell", "Bushnell Center for the Performing Arts", "Zoombezi Bay", "Assateague Island National Seashore", "Wild River Country", "Yellowstone National Park", "Discovery World", "Angel Island", "Six Flags White Water", "University of North Dakota", "Downtown Disney", "Action Park", "White Water Bay", "University of Wisconsin-Oshkosh", "Fox Theatre", "Waterville USA", "Los Angeles County Museum of Art", "Dolby Theatre", "Opryland USA", "Savannah Victorian Historic District", "Tempe Town Lake", "Hilltop Ski Area", "Busch Gardens Tampa Bay", "Morey's Piers", "Savannah River", "ESPN Wide World of Sports Complex", "Downtown Disney", "Centennial Olympic Park", "Pullen Park", "Six Flags Great Adventure", "Salem Willows", "Copper Harbor Light", "Yosemite National Park", "Bodega Bay", "Georgia Dome", "Palisades Amusement Park", "Napa Valley AVA", "Silver Dollar City", "Olvera Street", "Las Cascadas Water Park", "Funtown Splashtown USA", "Geauga Lake", "Landmark Theatre", "Twin Peaks", "Magic Kingdom", "Splashtown San Antonio", "TCL Chinese Theatre", "Lookout Mountain", "Oceans of Fun", "SplashTown Houston", "Freestyle Music Park", "New England Aquarium", "Idlewild and Soak Zone", "Warner Theatre", "San Francisco Museum of Modern Art", "Shedd Aquarium", "Myrtle Waves", "Revere Beach", "Six Flags America", "Conneaut Lake Park", "Brandywine Zoo", "Land of Oz", "Bay Beach Amusement Park", "Polynesian Cultural Center", "Disney's Typhoon Lagoon", "Binder Park Zoo", "Six Flags Great America", "Alcatraz Island", "Joyland Amusement Park", "Busch Gardens Williamsburg", "Statue of Liberty", "Alex Theatre", "Aquatica", "Louisville Zoo", "Daytona Lagoon", "Michigan's Adventure", "Soak City", "Eleutherian College", "Knoebels Amusement Resort", "Air Zoo", "Fremont Street Experience", "Detroit Zoo", "Empire State Building", "Ghost Town in the Sky", "Comerica Park", "Wild Waters", "Wet 'n Wild Emerald Pointe", "Discovery Cove", "Hawaiian Falls Roanoke", "Schlitterbahn New Braunfels", "Gunstock Mountain Resort", "Marine Corps War Memorial", "Flaming Gorge Reservoir", "Mountain Park", "Elliott Museum", "DelGrosso's Amusement Park", "Kemah Boardwalk", "Lake Winnepesaukah", "Sesame Place", "Belmont Park", "Wannado City", "Oregon Garden", "Peoria Civic Center", "Pleasure Island", "Epcot", "USS Lionfish", "Ryman Auditorium", "Victoria Theatre", "Barstow Route 66 Mother Road Museum", "Kenai Fjords National Park", "Sandcastle Waterpark", 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Hood", "Collegiate Peaks", "Lakemont Park", "Land of Make Believe", "Darien Lake", "Mendenhall Glacier", "Hersheypark", "Stevens Institute of Technology", "Enchanted Forest", "White House", "NRH2O", "Crissy Field", "Anacapa Island", "Amerind Foundation", "Naval Air Station Pensacola", "Durango–La Plata County Airport", "Denver Botanic Gardens", "Knott's Berry Farm", "Naomi Institute", "Chesapeake and Ohio Canal National Historical Park", "Wet 'n Wild Orlando", "Disney's Blizzard Beach", "Splash Down Waterpark", "Worlds of Fun", "Alaska Zoo", "Art Institute of Chicago", "Bowcraft Amusement Park", "Birmingham Zoo", "Hollywood Sign", "Memphis Kiddie Park", "Fun Spot Amusement Park & Zoo", "Sea Pines Resort", "Six Flags Over Georgia", "Santa's Village", "American Swedish Institute", "Mall of America", "Water Wizz", "Fisher Building", "Mammoth Cave National Park", "Disney's Animal Kingdom", "Pebble Beach Golf Links", "Zoo Atlanta", "Wild Adventures", "Old Point Loma Lighthouse", "Adirondack 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"start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000500, "question": "what to see in the united states of america?", "answer": [ "Splish Splash", "Freedomland U.S.A.", "Angel Island", "Cedar Point", "Tempe Town Lake", "Institute of American Indian Arts", "Zoombezi Bay", "Peoria Civic Center", "Cliff's Amusement Park", "Indiana Beach", "Dunkin' Donuts Center", "Palisades Amusement Park", "Wannado City", "Santana Row", "Air Zoo", "Splash Down Waterpark", "Savannah River", "Sea Pines Resort", "Alex Theatre", "Marine Corps War Memorial", "Thomas Jefferson Memorial", "Forsyth Park", "Enchanted Forest", "Cannery Row", "Twin Peaks", "Las Vegas Strip", "Aquatica", "Arkansas Post National Memorial", "Naomi Institute", "Baker Beach", "Rhode Island Convention Center", "Wet 'n Wild Orlando", "Savannah Victorian Historic District", "Kemah Boardwalk", "Louisville Zoo", "Newport Casino", "Disney's Hollywood Studios", "Los Angeles County Museum of Art", "Big Powderhorn Mountain", "Science Museum of Minnesota", "Great Escape", "Santa's Village", "Joyland Amusement Park", "Disney's Typhoon Lagoon", "Lakemont Park", "Lookout Mountain", "Binder Park Zoo", "Soak City", "Empire State Building", "Western American Railroad Museum", "Assateague Island National Seashore", "Enchanted Forest", "Adventureland", "Bunker Beach", "XIT Museum", "Oceans of Fun", "Downtown Disney", "Detroit Zoo", "Tillicum Village", "USS Silversides", "Polynesian Cultural Center", "Los Alamos", "Copper Harbor Light", "Bay Beach Amusement Park", "Dinosaur World", "Georgia Aquarium", "Bailey House Museum", "Museum of Contemporary Art Detroit", "University of Wisconsin-Oshkosh", "Adirondack Mountains", "Hollywood Sign", "USS Lionfish", "Opryland USA", "Las Cascadas Water Park", "Mammoth Cave National Park", "Durango–La Plata County Airport", "Hollywood Walk of Fame", "Walt Disney Concert Hall", "Jewish Theological Seminary of America Library", "Landmark Theatre", "Dorney Park & Wildwater Kingdom", "Gunstock Mountain Resort", "Splash Adventure", "Action Park", "Roger Williams Park Zoo", "New Haven Green", "Meaher State Park", "Pebble Beach Golf Links", "Belmont Park", "Beech Bend Park", "Tweetsie Railroad", "Mendenhall Glacier", "Shedd Aquarium", "Magic Kingdom", "Wild Waves Theme Park", "Waldameer Park", "Madison Square Garden", "Warner Theatre", "Wild River Country", "Islands of Adventure", "Lake Pepin", "SplashTown Houston", "San Diego Zoo Safari Park", "University of North Dakota", "Fort Klock", "Mesa Verde National Park", "Knott's Berry Farm", "Delaware Art Museum", "Pleasure Island", "Knoebels Amusement Resort", "Amerind Foundation", "Centennial Olympic Park", "Dallas Arboretum and Botanical Garden", "Six Flags Great America", "Rapids Water Park", "Grand Traverse Bay", "Kings Dominion", "Pennsylvania Academy of the Fine Arts", "Michigan's Adventure", "Elliott Museum", "Liberty Bell", "Prickett's Fort State Park", "Hawaiian Falls Roanoke", "Yosemite National Park", "Collegiate Peaks", "Six Flags Over Georgia", "Alaska Zoo", "Six Flags Over Texas", "Eleutherian College", "Nu‘uanu Pali", "Mount Hood", "Mountain Park", "Kenai Fjords National Park", "Holiday World & Splashin' Safari", "Wet 'n Wild Emerald Pointe", "Summer Waves", "Six Flags Great Adventure", "Carowinds", "La Fortaleza", "Camelbeach Waterpark", "Schlitterbahn New Braunfels", "American Swedish Institute", "Squaw Valley", "Revere Beach", "Discovery Cove", "Slater Mill Historic Site", "Lagoon Amusement Park", "Naval Air Station Pensacola", "Zoo Atlanta", "Universal Orlando", "Wild Adventures", "Canobie Lake Park", "Discovery World", "Morey's Piers", "Asian 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Leu Gardens", "Disney's Blizzard Beach", "Statue of Liberty", "New England Aquarium", "Sesame Place", "Disney's Animal Kingdom", "Daytona Lagoon", "Denver Botanic Gardens", "Luna Park, Coney Island", "Luxor Las Vegas", "Six Flags White Water", "Splash in the Boro", "Hawk Mountain Sanctuary", "Freestyle Music Park", "Conneaut Lake Park", "Hersheypark", "Napa Valley AVA", "Ryman Auditorium", "Memphis Kiddie Park", "Six Flags America", "Waterville USA", "Six Flags New England", "Busch Gardens Williamsburg", "Georgia Dome", "Disney's River Country", "TCL Chinese Theatre", "Alcatraz Island", "Mount Mansfield", "Hilltop Ski Area", "Olvera Street", "Darien Lake", "Woodruff Arts Center" ], "function": "none", "commonness": -5.979262482193667, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000501, "question": "what to see in the us?", "answer": [ "Salem Willows", "Lookout Mountain", "Peoria Civic Center", "Magic Kingdom", "Sea Pines Resort", "Dinosaur World", "Alcatraz Island", "Mount Hood", "Great Escape", "Woodruff Arts Center", "Islands of Adventure", "Detroit Zoo", "Carowinds", "Kings Dominion", "Gunstock Mountain Resort", "Cannery Row", "Newport Casino", "Squaw Valley", "Pilot Butte", "Alex Theatre", "Dunkin' Donuts Center", "Flaming Gorge Reservoir", "Yosemite National Park", "University of Louisiana at Lafayette", "Silver Dollar City", "Durango–La Plata County Airport", "Grand Traverse Bay", "Museum of Art of Puerto Rico", "Disney's Typhoon Lagoon", "Fun-World", "Angel Island", "Kemah Boardwalk", "Prickett's Fort State Park", "Elliott Museum", "Rapids Water Park", "Aquatica", "Fort Klock", "Adventureland", "Busch Gardens Tampa Bay", "Assateague Island National Seashore", "Enchanted Forest", "Mazda Raceway Laguna Seca", "Universal Orlando", "Geauga Lake", "Wild Adventures", "Disney's Hollywood Studios", "Indiana Beach", "Zoo Atlanta", "Water Country", "Splash Down Waterpark", "Polynesian Cultural Center", "NRH2O", "Los Alamos", "Art Institute of Chicago", "Empire State Building", "Idlewild and Soak Zone", "San Diego Zoo Safari Park", "Six Flags White Water", "Darien Lake", "Cedar Point", "Oceans of Fun", "Six Flags Great Adventure", "Liberty Bell", "Camden Park", "Denver Botanic Gardens", "Landmark Theatre", "DisneyQuest", "Joyland Amusement Park", "Sandcastle Waterpark", "Wild River Country", "Crissy Field", "Camelbeach Waterpark", "Fox Theatre", "Madison Square Garden", "SplashTown Houston", "Space Needle", "Birmingham Zoo", "Discovery Cove", "Old Point Loma Lighthouse", "Lake Winnepesaukah", "Louisville Zoo", "Brooklyn Botanic Garden", "Palisades Amusement Park", "Stevens Institute of Technology", "ESPN Wide World of Sports Complex", "Dallas Arboretum and Botanical Garden", "Myrtle Waves", "Barstow Route 66 Mother Road Museum", "Land of Oz", "TCL Chinese Theatre", "Disney's Animal Kingdom", "Tweetsie Railroad", "Institute of American Indian Arts", "Santa Cruz Island", "Solomon R. Guggenheim Museum", "Freedomland U.S.A.", "Hollywood Sign", "USS Lionfish", "Tillicum Village", "Lake Pepin", "Harry P. Leu Gardens", "Bay Beach Amusement Park", "Belmont Park", "University of North Dakota", "Hollywood Boulevard", "Bailey House Museum", "Pleasure Island", "Fisher Building", "Georgia Aquarium", "Michigan's Adventure", "Shedd Aquarium", "Philadelphia Museum of Art", "Chinatown", "Splish Splash", "Independence Pass", "Centennial Olympic Park", "Warner Theatre", "Pullen Park", "Slater Mill Historic Site", "Alaska Zoo", "Los Angeles County Museum of Art", "Walt Disney Concert Hall", "Forsyth Park", "Las Vegas Strip", "Dorney Park & Wildwater Kingdom", "Hilltop Ski Area", "Statue of Liberty", "Kenai Fjords National Park", "Memphis Kiddie Park", "Olvera Street", "Science Museum of Minnesota", "Splash Adventure", "University of Wisconsin-Oshkosh", "Thomas Jefferson Memorial", "Mesa Verde National Park", "New Haven Green", "Collegiate Peaks", "USS Silversides", "Bodega Bay", "Six Flags Over Georgia", "Mountain Park", "Copper Harbor Light", "Enchanted Forest", "DelGrosso's Amusement Park", "San Francisco Museum of Modern Art", "Clementon Amusement Park", "Delaware Art Museum", "Beech Bend Park", "Lakemont Park", "Epcot", "Morey's Piers", "Savannah Victorian Historic District", "MarineLand", "Savannah River", "Eleutherian College", "Conneaut Lake Park", "Pennsylvania Academy of the Fine Arts", "White House", "Waldameer Park", "Bunker Beach", "Disney's River Country", "Brandywine Zoo", "Revere Beach", "Meaher State Park", "Six Flags Fiesta Texas", "Knott's Berry Farm", "Waterville USA", "Luna Park, Coney Island", "Luxor Las Vegas", "Fun Spot Amusement Park & Zoo", "Big Powderhorn Mountain", "Twin Peaks", "Six Flags Over Texas", "Cliff's Amusement Park", "Hawk Mountain Sanctuary", "Wild Waters", "Nu‘uanu Pali", "Busch Gardens Williamsburg", "Asian Art Museum of San Francisco", "Oregon Garden", "Hacienda Buena Vista", "Playland", "Crown Center", "Roger Williams Park Zoo", "Six Flags America", "Dolby Theatre", "Zoombezi Bay", "Six Flags New England", "Downtown Disney", "Daytona Lagoon", "Rhode Island Convention Center", "Victoria Theatre", "Opryland USA", "Santa's Village", "Bowcraft Amusement Park", "Action Park", "XIT Museum", "Disney's Blizzard Beach", "Naval Air Station Pensacola", "Arkansas Post National Memorial", "Mall of America", "Wannado City", "American Swedish Institute", "New England Aquarium", "Naomi Institute", "Anacapa Island", "Adventureland", "Mendenhall Glacier", "Museum of Contemporary Art Detroit", "Six Flags Great America", "Amerind Foundation", "New Jersey Performing Arts Center", "Air Zoo", "Schlitterbahn New Braunfels", "Las Cascadas Water Park", "Chesapeake and Ohio Canal National Historical Park", "Splash in the Boro", "Grand Canyon", "Holiday World & Splashin' Safari", "Binder Park Zoo", "Mystery Spot", "Marine Corps War Memorial", "Summer Waves", "Napa Valley AVA", "Alamo Mission in San Antonio", "Ryman Auditorium", "Hawaiian Falls Roanoke", "Yellowstone National Park", "Adirondack Mountains", "Mary and Leigh Block Museum of Art", 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"node_type": "class", "id": "travel.tourist_attraction", "class": "travel.tourist_attraction", "friendly_name": "Tourist attraction", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.location", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "location.location.containedby", "friendly_name": "Contained by" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :travel.tourist_attraction\n VALUES ?x1 { :m.09c7w0 }\n ?x0 :location.location.containedby ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 159000502, "question": "what to see in the united states?", "answer": [ "Waterville USA", "Meaher State Park", "Aquatica", "New Jersey Performing Arts Center", "Adirondack Mountains", "Shedd Aquarium", "Louisville Zoo", "Carowinds", "Eleutherian 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} ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :library.public_library\n VALUES ?x1 { :m.01hyd9 }\n ?x1 :library.public_library_system.branches ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 163000202, "question": "new york library includes which branches?", "answer": [ "New York Public Library Main Branch", "Schomburg Center for Research in Black Culture" ], "function": "none", "commonness": -15.15155046132745, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "library.public_library", "class": "library.public_library", "friendly_name": "Public Library", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.new_york_public_library", "class": "library.public_library_system", "friendly_name": "new york library", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "library.public_library_system.branches", "friendly_name": "Branch Libraries" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :library.public_library\n VALUES ?x1 { :m.01hyd9 }\n ?x1 :library.public_library_system.branches ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 163000300, "question": "what are the branch libraries of the new york public library?", "answer": [ "Schomburg Center for Research in Black Culture", "New York Public Library Main Branch" ], "function": "none", "commonness": -15.15155046132745, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "library.public_library", "class": "library.public_library", "friendly_name": "Public Library", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.new_york_public_library", "class": "library.public_library_system", "friendly_name": "New York Public Library", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "library.public_library_system.branches", "friendly_name": "Branch Libraries" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :library.public_library\n VALUES ?x1 { :m.01hyd9 }\n ?x1 :library.public_library_system.branches ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 163000301, "question": "what are the branch libraries of the nypl?", "answer": [ "Schomburg Center for Research in Black Culture", "New York Public Library Main Branch" ], "function": "none", "commonness": -15.15155046132745, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "library.public_library", "class": "library.public_library", "friendly_name": "Public Library", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.new_york_public_library", "class": "library.public_library_system", "friendly_name": "nypl", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "library.public_library_system.branches", "friendly_name": "Branch Libraries" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :library.public_library\n VALUES ?x1 { :m.01hyd9 }\n ?x1 :library.public_library_system.branches ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 163000302, "question": "what are the branch libraries of the new york library?", "answer": [ "New York Public Library Main Branch", "Schomburg Center for Research in Black Culture" ], "function": "none", "commonness": -15.15155046132745, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "library.public_library", "class": "library.public_library", "friendly_name": "Public Library", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.new_york_public_library", "class": "library.public_library_system", "friendly_name": "new york library", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "library.public_library_system.branches", "friendly_name": "Branch Libraries" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :library.public_library\n VALUES ?x1 { :m.01hyd9 }\n ?x1 :library.public_library_system.branches ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 164000000, "question": "celine dion has performed how many film songs?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000001, "question": "dion has performed how many film songs?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000002, "question": "celine has performed how many film songs?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000100, "question": "how many songs has celine dion performed for films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000101, "question": "how many songs has dion performed for films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000102, "question": "how many songs has celine performed for films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000200, "question": "how many film songs has celine dion performed?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000201, "question": "how many film songs has dion performed?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000202, "question": "how many film songs has celine performed?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000300, "question": "how many film songs were performed by celine dion?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000301, "question": "how many film songs were performed by dion?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000302, "question": "how many film songs were performed by celine?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000400, "question": "how many songs performed by celine dion were featured in films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000401, "question": "how many songs performed by dion were featured in films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000402, "question": "how many songs performed by celine were featured in films?", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000500, "question": "find the count of film songs in which celine dion has performed.", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "Celine Dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000501, "question": "find the count of film songs in which dion has performed.", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "dion", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 164000502, "question": "find the count of film songs in which celine has performed.", "answer": [ "3" ], "function": "count", "commonness": -14.252318701819185, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "film.film_featured_song", "class": "film.film_featured_song", "friendly_name": "Film featured song", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.celine_dion", "class": "music.artist", "friendly_name": "celine", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "film.film_featured_song.performed_by", "friendly_name": "Performed by" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :film.film_featured_song . \nVALUES ?x1 { :en.celine_dion } \n?x0 :film.film_featured_song.performed_by ?x1 . \nFILTER ( ?x0 != ?x1 )\n}\n}" }, { "qid": 165000000, "question": "the point montara light is of what shape?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "Point Montara Light", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000001, "question": "the point montara lighthouse is of what shape?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "point montara lighthouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000002, "question": "the point montara light station is of what shape?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "point montara light station", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000100, "question": "in which shape was the point montara light built?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "Point Montara Light", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000101, "question": "in which shape was the point montara lighthouse built?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "point montara lighthouse", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000102, "question": "in which shape was the point montara light station built?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "point montara light station", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000200, "question": "what shape is the point montara light?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.point_montara_light", "class": "architecture.lighthouse", "friendly_name": "Point Montara Light", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "architecture.tower_shape.lighthouse_has_shape", "friendly_name": "Lighthouse having shape" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :architecture.tower_shape\n VALUES ?x1 { :m.0h4hjy }\n ?x0 :architecture.tower_shape.lighthouse_has_shape ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 165000201, "question": "what shape is the point montara lighthouse?", "answer": [ "Conical" ], "function": "none", "commonness": -22.066595221884075, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "architecture.tower_shape", "class": "architecture.tower_shape", "friendly_name": "Tower shape", 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Koch Institute for Integrative Cancer Research at MIT" ], "function": "none", "commonness": -14.64262530660993, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.cancer_center", "class": "medicine.cancer_center", "friendly_name": "Cancer Center", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.massachusetts_institute_of_technology", "class": "medicine.cancer_center_constituent", "friendly_name": "Massachusetts Institute of Technology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.cancer_center.constituents", "friendly_name": "Constituents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.cancer_center\n VALUES ?x1 { :m.04rwx }\n ?x0 :medicine.cancer_center.constituents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 166000401, "question": "what's the name of the center at mit that deals with cancer?", "answer": [ "David H. Koch Institute for Integrative Cancer Research at MIT" ], "function": "none", "commonness": -14.64262530660993, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.cancer_center", "class": "medicine.cancer_center", "friendly_name": "Cancer Center", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.massachusetts_institute_of_technology", "class": "medicine.cancer_center_constituent", "friendly_name": "mit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.cancer_center.constituents", "friendly_name": "Constituents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.cancer_center\n VALUES ?x1 { :m.04rwx }\n ?x0 :medicine.cancer_center.constituents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 166000500, "question": "massachusetts institute of technology is home to what cancer center?", "answer": [ "David H. Koch Institute for Integrative Cancer Research at MIT" ], "function": "none", "commonness": -14.64262530660993, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.cancer_center", "class": "medicine.cancer_center", "friendly_name": "Cancer Center", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.massachusetts_institute_of_technology", "class": "medicine.cancer_center_constituent", "friendly_name": "Massachusetts Institute of Technology", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.cancer_center.constituents", "friendly_name": "Constituents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.cancer_center\n VALUES ?x1 { :m.04rwx }\n ?x0 :medicine.cancer_center.constituents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 166000501, "question": "mit is home to what cancer center?", "answer": [ "David H. Koch Institute for Integrative Cancer Research at MIT" ], "function": "none", "commonness": -14.64262530660993, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.cancer_center", "class": "medicine.cancer_center", "friendly_name": "Cancer Center", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.massachusetts_institute_of_technology", "class": "medicine.cancer_center_constituent", "friendly_name": "mit", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "medicine.cancer_center.constituents", "friendly_name": "Constituents" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.cancer_center\n VALUES ?x1 { :m.04rwx }\n ?x0 :medicine.cancer_center.constituents ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000000, "question": "which computer operating system was released on 2008-09-20?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2008-09-20", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000001, "question": "which computer operating system was released on sept. the 20th, 2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "Sept. the 20th, 2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000002, "question": "which computer operating system was released on 09/20/2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "09/20/2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000100, "question": "which computer operating system became available on 2008-09-20?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2008-09-20", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000101, "question": "which computer operating system became available on sept. the 20th, 2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "Sept. the 20th, 2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000102, "question": "which computer operating system became available on 09/20/2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "09/20/2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000200, "question": "which computer system was put out on 2008-09-20?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2008-09-20", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000201, "question": "which computer system was put out on sept. the 20th, 2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "Sept. the 20th, 2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000202, "question": "which computer system was put out on 09/20/2008?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "09/20/2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000300, "question": "on 2008-09-20 which computer operating system was released?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "2008-09-20", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000301, "question": "on sept. the 20th, 2008 which computer operating system was released?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "Sept. the 20th, 2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 167000302, "question": "on 09/20/2008 which computer operating system was released?", "answer": [ "Android" ], "function": "none", "commonness": -14.431244262021593, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "computer.operating_system", "class": "computer.operating_system", "friendly_name": "Operating System", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "2008-09-20^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "09/20/2008", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "computer.operating_system.release_date", "friendly_name": "Release Date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.operating_system\n VALUES ?x1 { \"2008-09-20\"^^ }\n ?x0 :computer.operating_system.release_date ?x1\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 168000000, "question": "sildenafil is made by what brand?", "answer": [ "Viagra" ], "function": "none", "commonness": -13.679433688410423, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_brand", "class": "medicine.drug_brand", "friendly_name": "Drug brand", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.sildenafil", "class": "base.bioventurist.bv_therapeutic", "friendly_name": "Sildenafil", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "medicine.drug.canonical_brands", "friendly_name": "Canonical brands" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :medicine.drug_brand\n VALUES ?x1 { :m.07_71 }\n ?x1 :medicine.drug.canonical_brands ?x0\n FILTER ( ?x0 != ?x1 )\n }\n }\n" }, { "qid": 168000001, "question": "viagra is made by what brand?", "answer": [ "Viagra" ], "function": "none", "commonness": -13.679433688410423, "num_node": 2, "num_edge": 1, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "medicine.drug_brand", "class": "medicine.drug_brand", "friendly_name": "Drug brand", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": 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FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 173000601, "question": "which rocket manufacturer made the ares i and saturn 5?", "answer": [ "Boeing" ], "function": "none", "commonness": -26.108725625543638, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_manufacturer", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Rocket Manufacturer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.ares_i", "class": "spaceflight.rocket", "friendly_name": "Ares I", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.saturn_v", "class": "spaceflight.rocket", "friendly_name": "saturn 5", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket.manufacturer", "friendly_name": "Manufacturer" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket_manufacturer\n VALUES ?x1 { :m.0dqk5f }\n VALUES ?x2 { :m.07932 }\n ?x0 :spaceflight.rocket_manufacturer.rockets_manufactured ?x1 .\n ?x2 :spaceflight.rocket.manufacturer ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000000, "question": "zuko has similar ranks with what dead characters?", "answer": [ "Troilus", "Vegeta" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "Zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000001, "question": "prince zuko has similar ranks with what dead characters?", "answer": [ "Troilus", "Vegeta" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "prince zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000100, "question": "which characters with the same rank as zuko are dead?", "answer": [ "Troilus", "Vegeta" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "Zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000101, "question": "which characters with the same rank as prince zuko are dead?", "answer": [ "Troilus", "Vegeta" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "prince zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000200, "question": "which characters that have died have the same rank with zuko?", "answer": [ "Troilus", "Vegeta" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "Zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000201, "question": "which characters that have died have the same rank with prince zuko?", "answer": [ "Vegeta", "Troilus" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "prince zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000300, "question": "which deceased characters have the same rank with zuko?", "answer": [ "Vegeta", "Troilus" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "Zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 174000301, "question": "which deceased characters have the same rank with prince zuko?", "answer": [ "Vegeta", "Troilus" ], "function": "none", "commonness": -23.94775446705927, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.fictionaluniverse.deceased_fictional_character", "class": "base.fictionaluniverse.deceased_fictional_character", "friendly_name": "Deceased Fictional Character", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "fictional_universe.character_rank", "class": "fictional_universe.character_rank", "friendly_name": "Character Rank", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.prince_zuko", "class": "fictional_universe.fictional_character", "friendly_name": "prince zuko", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "fictional_universe.character_rank.characters_of_this_rank", "friendly_name": "Characters of This Rank" }, { "start": 2, "end": 1, "relation": "fictional_universe.fictional_character.rank", "friendly_name": "Rank" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.fictionaluniverse.deceased_fictional_character .\n ?x1 :type.object.type :fictional_universe.character_rank\n VALUES ?x2 { :m.06hf45 }\n ?x1 :fictional_universe.character_rank.characters_of_this_rank ?x0 .\n ?x2 :fictional_universe.fictional_character.rank ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000000, "question": "which flag is used by the united states of america?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000001, "question": "which flag is used by the us?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000002, "question": "which flag is used by the united states?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000100, "question": "what is the official name of the flag representing the united states of america?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": 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?x2 ) )\n }\n }\n" }, { "qid": 175000101, "question": "what is the official name of the flag representing the us?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: 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?x2 ) )\n }\n }\n" }, { "qid": 175000201, "question": "what is the flag of the us?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000202, "question": "what is the flag of the united states?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "united states", 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uses which flag?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 175000302, "question": "the united states uses which flag?", "answer": [ "Flag of the United States" ], "function": "none", "commonness": -20.826569487157226, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "symbols.flag", "class": "symbols.flag", "friendly_name": "Flag", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "symbols.flag_use", "class": "symbols.flag_use", "friendly_name": "Flag use", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "symbols.flag_referent", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "symbols.flag_use.flag", "friendly_name": "Flag" }, { "start": 1, "end": 2, "relation": "symbols.flag_use.flag_user", "friendly_name": "Flag user" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :symbols.flag .\n ?x1 :type.object.type :symbols.flag_use\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :symbols.flag_use.flag ?x0 ;\n :symbols.flag_use.flag_user ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000000, "question": "who has curated an art exhibition about the united states of america?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000001, "question": "who has curated an art exhibition about the us?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": 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"class": "exhibitions.exhibition_subject", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000101, "question": "find someone who has curated an exhibition about the us.", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX 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)\n }\n }\n" }, { "qid": 176000200, "question": "who has curated an exhibition with the united states of america as it's subject?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000201, "question": "who has curated an exhibition with the us as it's subject?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", 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"question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000300, "question": "who curated exhibitions about the united states of america?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, 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?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000301, "question": "who curated exhibitions about the us?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000302, "question": "who curated exhibitions about the united states?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000400, "question": "who are the curators of exhibitions on the subject the united states of america?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", 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:exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000401, "question": "who are the curators of exhibitions on the subject the us?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000402, "question": "who are the curators of exhibitions on the subject the united states?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", "friendly_name": "Exhibitions created about this subject" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :exhibitions.exhibition_curator .\n ?x1 :type.object.type :exhibitions.exhibition\n VALUES ?x2 { :m.09c7w0 }\n ?x1 :exhibitions.exhibition.curators ?x0 .\n ?x2 :exhibitions.exhibition_subject.exhibitions_created_about_this_subject ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 176000500, "question": "what is the name of someone responsible for curating an exhibition about the united states of america?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, 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someone responsible for curating an exhibition about the us?", "answer": [ "Hagedorn Foundation Gallery" ], "function": "none", "commonness": -26.893781750444095, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "exhibitions.exhibition_curator", "class": "exhibitions.exhibition_curator", "friendly_name": "Exhibition curator", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "exhibitions.exhibition", "class": "exhibitions.exhibition", "friendly_name": "Exhibition", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "exhibitions.exhibition_subject", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "exhibitions.exhibition.curators", "friendly_name": "Curators" }, { "start": 2, "end": 1, "relation": "exhibitions.exhibition_subject.exhibitions_created_about_this_subject", 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:astronomy.astronomer.astronomical_objects_discovered ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 177000101, "question": "what astronimical discoverty projects did geoff marcy participate in?", "answer": [ "Eta-Earth Survey for Low Mass Planets" ], "function": "none", "commonness": -25.741619783117866, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_survey_project_organization", "class": "astronomy.astronomical_survey_project_organization", "friendly_name": "Astronomical Survey/Project Organization", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "astronomy.astronomical_discovery", "class": "astronomy.astronomical_discovery", "friendly_name": "Astronomical Discovery", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.geoffrey_marcy", "class": "astronomy.astronomer", "friendly_name": "geoff 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"none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000002, "question": "what nutrients are contained in coca cola?", "answer": [ "Zinc", "Choline", "Fluoride", "Sodium", "Selenium", "Sugar", "Phosphorus", "Potassium", "Water", "Lipid", "Iron", "Copper", "Protein", "Carbohydrate", 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"entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000101, "question": "which nutrient is found in coke?", "answer": [ "Potassium", "Caffeine", "Sodium", "Sugar", "Selenium", "Manganese", "Phosphorus", "Ash", "Carbohydrate", "Fluoride", "Betaine", "Copper", "Choline", "Protein", "Calcium", "Lipid", "Iron", "Zinc", 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:food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000102, "question": "which nutrient is found in coca cola?", "answer": [ "Iron", "Water", "Manganese", "Ash", "Lipid", "Sodium", "Caffeine", "Fluoride", "Sugar", "Betaine", "Protein", "Phosphorus", "Carbohydrate", "Potassium", "Copper", "Selenium", "Choline", "Calcium", "Zinc" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000200, "question": "what is the nutritional composition of coca-cola soda?", "answer": [ "Carbohydrate", "Sodium", "Lipid", "Water", "Protein", "Caffeine", "Fluoride", "Iron", "Phosphorus", "Choline", "Potassium", "Betaine", "Selenium", "Copper", "Zinc", "Sugar", "Ash", "Manganese", "Calcium" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000201, "question": "what is the nutritional composition of coke soda?", "answer": [ "Phosphorus", "Choline", "Ash", "Sugar", "Carbohydrate", "Protein", "Selenium", "Fluoride", "Betaine", "Calcium", "Sodium", "Caffeine", "Manganese", "Potassium", "Lipid", "Iron", "Copper", "Water", "Zinc" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000202, "question": "what is the nutritional composition of coca cola soda?", "answer": [ "Sugar", "Zinc", "Copper", "Betaine", "Phosphorus", "Water", "Caffeine", "Sodium", "Manganese", "Protein", "Lipid", "Iron", "Choline", "Calcium", "Carbohydrate", "Fluoride", "Ash", "Potassium", "Selenium" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000300, "question": "what is the supplement information for coca-cola?", "answer": [ "Manganese", "Copper", "Caffeine", "Ash", "Lipid", "Zinc", "Sodium", "Potassium", "Water", "Betaine", "Iron", "Selenium", "Choline", "Phosphorus", "Sugar", "Calcium", "Protein", "Carbohydrate", "Fluoride" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000301, "question": "what is the supplement information for coke?", "answer": [ "Copper", "Manganese", "Zinc", "Ash", "Fluoride", "Potassium", "Iron", "Betaine", "Calcium", "Choline", "Caffeine", "Carbohydrate", "Protein", "Sugar", "Sodium", "Selenium", "Phosphorus", "Water", "Lipid" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000302, "question": "what is the supplement information for coca cola?", "answer": [ "Caffeine", "Phosphorus", "Calcium", "Sodium", "Choline", "Iron", "Selenium", "Potassium", "Sugar", "Betaine", "Carbohydrate", "Ash", "Copper", "Zinc", "Lipid", "Fluoride", "Water", "Manganese", "Protein" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000400, "question": "what are the nourishing substances which coca-cola consists of ?", "answer": [ "Selenium", "Protein", "Caffeine", "Sugar", "Betaine", "Potassium", "Sodium", "Ash", "Carbohydrate", "Copper", "Zinc", "Choline", "Iron", "Phosphorus", "Lipid", "Manganese", "Water", "Calcium", "Fluoride" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000401, "question": "what are the nourishing substances which coke consists of ?", "answer": [ "Choline", "Selenium", "Sodium", "Sugar", "Water", "Caffeine", "Manganese", "Iron", "Potassium", "Calcium", "Carbohydrate", "Copper", "Lipid", "Fluoride", "Betaine", "Phosphorus", "Ash", "Zinc", "Protein" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coke", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000402, "question": "what are the nourishing substances which coca cola consists of ?", "answer": [ "Protein", "Sugar", "Calcium", "Fluoride", "Potassium", "Sodium", "Caffeine", "Ash", "Copper", "Iron", "Selenium", "Manganese", "Lipid", "Zinc", "Phosphorus", "Carbohydrate", "Water", "Betaine", "Choline" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "coca cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000500, "question": "what kind of nutrient does coca-cola have?", "answer": [ "Sodium", "Choline", "Iron", "Phosphorus", "Carbohydrate", "Selenium", "Copper", "Caffeine", "Manganese", "Protein", "Zinc", "Sugar", "Calcium", "Betaine", "Water", "Lipid", "Fluoride", "Potassium", "Ash" ], "function": "none", "commonness": -18.343663156106537, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "food.nutrient", "class": "food.nutrient", "friendly_name": "Nutrient", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "food.nutrition_fact", "class": "food.nutrition_fact", "friendly_name": "Nutrition Fact", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.coca-cola", "class": "food.food", "friendly_name": "Coca-Cola", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "food.nutrition_fact.nutrient", "friendly_name": "Nutrient" }, { "start": 1, "end": 2, "relation": "food.nutrition_fact.food", "friendly_name": "Food" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :food.nutrient .\n ?x1 :type.object.type :food.nutrition_fact\n VALUES ?x2 { :m.01yvs }\n ?x1 :food.nutrition_fact.nutrient ?x0 ;\n :food.nutrition_fact.food ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 183000501, "question": "what kind of nutrient does coke have?", "answer": [ "Potassium", "Iron", "Caffeine", "Choline", "Calcium", "Zinc", "Protein", "Lipid", "Selenium", "Ash", "Sugar", "Manganese", "Carbohydrate", "Fluoride", "Water", "Phosphorus", 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) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000002, "question": "find rockets made by chrysler llc that support low earth orbit.", "answer": [ "Saturn I", "Saturn IB" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler llc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket\n VALUES ?x1 { :m.0cspd }\n VALUES ?x2 { :m.01_bp }\n ?x1 :spaceflight.rocket_function.rockets_supporting_this_function ?x0 .\n ?x2 :spaceflight.rocket_manufacturer.rockets_manufactured ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000100, "question": "low earth orbit is supported by which chrysler group llc's rockets?", "answer": [ "Saturn I", "Saturn IB" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Chrysler Group LLC", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket\n VALUES ?x1 { :m.0cspd }\n VALUES ?x2 { :m.01_bp }\n ?x1 :spaceflight.rocket_function.rockets_supporting_this_function ?x0 .\n ?x2 :spaceflight.rocket_manufacturer.rockets_manufactured ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000101, "question": "low earth orbit is supported by which chrysler's rockets?", "answer": [ "Saturn IB", "Saturn I" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": 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"spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler llc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket\n VALUES ?x1 { :m.0cspd }\n VALUES ?x2 { :m.01_bp }\n ?x1 :spaceflight.rocket_function.rockets_supporting_this_function ?x0 .\n ?x2 :spaceflight.rocket_manufacturer.rockets_manufactured ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000200, "question": "locate the rocketry manufactured by the chrysler group llc which is capable of low earth orbit.", "answer": [ "Saturn IB", "Saturn I" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Chrysler Group LLC", 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[ "Saturn I", "Saturn IB" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Chrysler Group LLC", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : 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that allowed low earth orbit?", "answer": [ "Saturn I", "Saturn IB" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler llc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" 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orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "Chrysler Group LLC", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket\n VALUES ?x1 { :m.0cspd }\n VALUES ?x2 { :m.01_bp }\n ?x1 :spaceflight.rocket_function.rockets_supporting_this_function ?x0 .\n ?x2 :spaceflight.rocket_manufacturer.rockets_manufactured ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000401, "question": "which of chrysler's rockets are capable of low earth orbit?", "answer": [ "Saturn IB", "Saturn I" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, "end": 0, "relation": "spaceflight.rocket_manufacturer.rockets_manufactured", "friendly_name": "Rockets Manufactured" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :spaceflight.rocket\n VALUES ?x1 { :m.0cspd }\n VALUES ?x2 { :m.01_bp }\n ?x1 :spaceflight.rocket_function.rockets_supporting_this_function ?x0 .\n ?x2 :spaceflight.rocket_manufacturer.rockets_manufactured ?x0\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000402, "question": "which of chrysler llc's rockets are capable of low earth orbit?", "answer": [ "Saturn I", "Saturn IB" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", 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) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 191000502, "question": "which low earth orbit rockets are made by chrysler llc?", "answer": [ "Saturn IB", "Saturn I" ], "function": "none", "commonness": -25.76461195221662, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket", "class": "spaceflight.rocket", "friendly_name": "Rocket", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.low_earth_orbit", "class": "spaceflight.rocket_function", "friendly_name": "Low Earth orbit", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.chrysler", "class": "spaceflight.rocket_manufacturer", "friendly_name": "chrysler llc", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "spaceflight.rocket_function.rockets_supporting_this_function", "friendly_name": "Rockets supporting this function" }, { "start": 2, 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"Processor" }, { "start": 1, "end": 2, "relation": "computer.computer.peripherals", "friendly_name": "Peripherals" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :computer.computer_processor .\n ?x1 :type.object.type :computer.computer\n VALUES ?x2 { :m.0d2j47 }\n ?x1 :computer.computer.processor ?x0 ;\n :computer.computer.peripherals ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000000, "question": "what collectable items were released in 1984 for star wars?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": 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}\n" }, { "qid": 194000001, "question": "what collectable items were released in 1984 for starwars?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000002, "question": "what collectable items were released in 1984 for star war?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000100, "question": "list any and all collectable star wars items that came out in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000101, "question": "list any and all collectable starwars items that came out in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000102, "question": "list any and all collectable star war items that came out in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000200, "question": "which star wars collectable items were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000201, "question": "which starwars collectable items were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000202, "question": "which star war collectable items were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000300, "question": "what star wars collectables can i find that were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000301, "question": "what starwars collectables can i find that were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000302, "question": "what star war collectables can i find that were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000400, "question": "find collectable items about star wars that were released in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000401, "question": "find collectable items about starwars that were released in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000402, "question": "find collectable items about star war that were released in 1984.", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000500, "question": "which star wars collectables were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000501, "question": "which starwars collectables were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000502, "question": "which star war collectables were released in 1984?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000600, "question": "what collectable items were released in 1984 and part of the star wars collection?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "Star Wars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000601, "question": "what collectable items were released in 1984 and part of the starwars collection?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "starwars", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 194000602, "question": "what collectable items were released in 1984 and part of the star war collection?", "answer": [ "1984 Lumat action figure" ], "function": "none", "commonness": -25.053423614903828, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "interests.collectable_item", "class": "interests.collectable_item", "friendly_name": "Collectable item", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.star_wars", "class": "interests.collection_category", "friendly_name": "star war", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "1984^^http://www.w3.org/2001/XMLSchema#datetime", "class": "type.datetime", "friendly_name": "1984", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "interests.collectable_item.collection_category", "friendly_name": "Collection category" }, { "start": 0, "end": 2, "relation": "interests.collectable_item.release_date", "friendly_name": "Release date" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :interests.collectable_item\n VALUES ?x1 { :m.06mmr }\n VALUES ?x2 { \"1984\"^^ }\n ?x0 :interests.collectable_item.collection_category ?x1 ;\n :interests.collectable_item.release_date ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000000, "question": "what are the snl seasons that tina fey is in the cast?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000001, "question": "what are the snl seasons that elizabeth stamatina fey is in the cast?", "answer": [ "Saturday Night Live - Season 30", "Saturday Night Live - Season 31" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000100, "question": "in which snl seasons has tina fey appeared?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000101, "question": "in which snl seasons has elizabeth stamatina fey appeared?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000200, "question": "what season of snl did tina fey play in?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000201, "question": "what season of snl did elizabeth stamatina fey play in?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": 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"friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000400, "question": "which snl season did tina fey play in?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000401, "question": "which snl season did elizabeth stamatina fey play in?", "answer": [ "Saturday Night Live - Season 30", "Saturday Night Live - Season 31" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": 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?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000500, "question": "which snl seasons starred tina fey?", "answer": [ "Saturday Night Live - Season 30", "Saturday Night Live - Season 31" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000501, "question": "which snl seasons starred elizabeth stamatina fey?", "answer": [ "Saturday Night Live - Season 31", "Saturday Night Live - Season 30" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000600, "question": "find the snl seasons that tina fey was starring in.", "answer": [ "Saturday Night Live - Season 30", "Saturday Night Live - Season 31" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "Tina Fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 195000601, "question": "find the snl seasons that elizabeth stamatina fey was starring in.", "answer": [ "Saturday Night Live - Season 30", "Saturday Night Live - Season 31" ], "function": "none", "commonness": -31.334357186793028, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.saturdaynightlive.snl_season", "class": "base.saturdaynightlive.snl_season", "friendly_name": "SNL season", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.saturdaynightlive.snl_season_tenure", "class": "base.saturdaynightlive.snl_season_tenure", "friendly_name": "SNL season tenure", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.tina_fey", "class": "base.saturdaynightlive.snl_cast_member", "friendly_name": "elizabeth stamatina fey", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.saturdaynightlive.snl_season.cast", "friendly_name": "Cast" }, { "start": 1, "end": 2, "relation": "base.saturdaynightlive.snl_season_tenure.cast_members", "friendly_name": "Cast members" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.saturdaynightlive.snl_season .\n ?x1 :type.object.type :base.saturdaynightlive.snl_season_tenure\n VALUES ?x2 { :m.0pz7h }\n ?x0 :base.saturdaynightlive.snl_season.cast ?x1 .\n ?x1 :base.saturdaynightlive.snl_season_tenure.cast_members ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000000, "question": "what positions are available in new york yankees?", "answer": [ "Hitting Coach", "Center fielder", "Middle relief pitcher", "Starting pitcher", "Outfielder", "Infielder", "Shortstop", "First baseman", "Third baseman", "Utility player", "Designated hitter", "Closer", "Catcher", "Second baseman", "Left fielder", "Pitcher", "Right fielder", "Relief pitcher", "Utility infielder", "Setup pitcher" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000001, "question": "what positions are available in yankees?", "answer": [ "Utility infielder", "Closer", "Right fielder", "Setup pitcher", "Relief pitcher", "Third baseman", "Left fielder", "Center fielder", "Outfielder", "Shortstop", "Starting pitcher", "Second baseman", "Infielder", "First baseman", "Utility player", "Catcher", "Middle relief pitcher", "Hitting Coach", "Pitcher", "Designated hitter" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000002, "question": "what positions are available in yankee?", "answer": [ "Second baseman", "Pitcher", "Outfielder", "Utility player", "Middle relief pitcher", "Setup pitcher", "Shortstop", "Infielder", "Hitting Coach", "Catcher", "Designated hitter", "Third baseman", "First baseman", "Utility infielder", "Starting pitcher", "Center fielder", "Relief pitcher", "Closer", "Left fielder", "Right fielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankee", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000100, "question": "what positions make up the new york yankees?", "answer": [ "Third baseman", "Shortstop", "Designated hitter", "Hitting Coach", "Infielder", "Closer", "Outfielder", "Right fielder", "Second baseman", "Relief pitcher", "Center fielder", "Catcher", "Utility infielder", "Left fielder", "Middle relief pitcher", "Starting pitcher", "Pitcher", "Utility player", "Setup pitcher", "First baseman" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000101, "question": "what positions make up the yankees?", "answer": [ "Center fielder", "Middle relief pitcher", "Pitcher", "Right fielder", "Infielder", "Second baseman", "Hitting Coach", "First baseman", "Left fielder", "Catcher", "Setup pitcher", "Relief pitcher", "Starting pitcher", "Closer", "Designated hitter", "Shortstop", "Utility player", "Outfielder", "Third baseman", "Utility infielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000102, "question": "what positions make up the yankee?", "answer": [ "Setup pitcher", "Right fielder", "Shortstop", "Utility infielder", "Designated hitter", "Middle relief pitcher", "Catcher", "Center fielder", "Starting pitcher", "Pitcher", "Left fielder", "Closer", "Third baseman", "Infielder", "Hitting Coach", "Outfielder", "Utility player", "Relief pitcher", "Second baseman", "First baseman" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankee", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000200, "question": "what are the different positions on the new york yankees?", "answer": [ "Utility player", "Closer", "First baseman", "Catcher", "Center fielder", "Second baseman", "Middle relief pitcher", "Pitcher", "Relief pitcher", "Utility infielder", "Starting pitcher", "Infielder", "Shortstop", "Third baseman", "Setup pitcher", "Designated hitter", "Hitting Coach", "Right fielder", "Left fielder", "Outfielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000201, "question": "what are the different positions on the yankees?", "answer": [ "Third baseman", "Shortstop", "Second baseman", "Pitcher", "Outfielder", "Designated hitter", "Closer", "Middle relief pitcher", "Center fielder", "First baseman", "Starting pitcher", "Infielder", "Catcher", "Relief pitcher", "Setup pitcher", "Left fielder", "Hitting Coach", "Right fielder", "Utility player", "Utility infielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000202, "question": "what are the different positions on the yankee?", "answer": [ "Center fielder", "Utility player", "Shortstop", "Closer", "Right fielder", "Pitcher", "Catcher", "Second baseman", "Outfielder", "Utility infielder", "Designated hitter", "Infielder", "Relief pitcher", "Hitting Coach", "Third baseman", "Middle relief pitcher", "First baseman", "Setup pitcher", "Starting pitcher", "Left fielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankee", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000300, "question": "what are the different positions for the players on the new york yankees?", "answer": [ "Pitcher", "Left fielder", "Center fielder", "Setup pitcher", "Designated hitter", "Second baseman", "First baseman", "Closer", "Utility infielder", "Utility player", "Relief pitcher", "Middle relief pitcher", "Outfielder", "Third baseman", "Shortstop", "Catcher", "Hitting Coach", "Infielder", "Starting pitcher", "Right fielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000301, "question": "what are the different positions for the players on the yankees?", "answer": [ "Utility infielder", "Second baseman", "First baseman", "Setup pitcher", "Infielder", "Middle relief pitcher", "Right fielder", "Hitting Coach", "Shortstop", "Closer", "Designated hitter", "Catcher", "Starting pitcher", "Pitcher", "Center fielder", "Left fielder", "Outfielder", "Relief pitcher", "Utility player", "Third baseman" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000302, "question": "what are the different positions for the players on the yankee?", "answer": [ "Infielder", "Relief pitcher", "Right fielder", "Hitting Coach", "Setup pitcher", "Utility infielder", "Middle relief pitcher", "Closer", "Second baseman", "Outfielder", "Third baseman", "Starting pitcher", "Designated hitter", "Center fielder", "Utility player", "Shortstop", "Left fielder", "First baseman", "Catcher", "Pitcher" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankee", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000400, "question": "what kind of positions are there in new york yankees.", "answer": [ "Relief pitcher", "Middle relief pitcher", "Third baseman", "First baseman", "Designated hitter", "Outfielder", "Utility infielder", "Second baseman", "Starting pitcher", "Closer", "Right fielder", "Setup pitcher", "Pitcher", "Hitting Coach", "Shortstop", "Center fielder", "Left fielder", "Utility player", "Infielder", "Catcher" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000401, "question": "what kind of positions are there in yankees.", "answer": [ "Outfielder", "Relief pitcher", "Utility player", "Second baseman", "Infielder", "Left fielder", "Middle relief pitcher", "Closer", "Right fielder", "First baseman", "Setup pitcher", "Hitting Coach", "Center fielder", "Pitcher", "Starting pitcher", "Shortstop", "Catcher", "Utility infielder", "Third baseman", "Designated hitter" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000402, "question": "what kind of positions are there in yankee.", "answer": [ "Hitting Coach", "First baseman", "Utility infielder", "Infielder", "Setup pitcher", "Middle relief pitcher", "Second baseman", "Left fielder", "Catcher", "Pitcher", "Third baseman", "Right fielder", "Outfielder", "Utility player", "Closer", "Relief pitcher", "Shortstop", "Center fielder", "Designated hitter", "Starting pitcher" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "yankee", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", "friendly_name": "Positions" }, { "start": 1, "end": 2, "relation": "sports.sport.teams", "friendly_name": "Teams" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_position .\n ?x1 :type.object.type :sports.sport\n VALUES ?x2 { :m.0cqt41 }\n ?x1 :sports.sport.positions ?x0 ;\n :sports.sport.teams ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 196000500, "question": "what positions does the new york yankees have on their team?", "answer": [ "Utility player", "Middle relief pitcher", "Pitcher", "First baseman", "Center fielder", "Left fielder", "Right fielder", "Third baseman", "Relief pitcher", "Shortstop", "Closer", "Second baseman", "Starting pitcher", "Designated hitter", "Hitting Coach", "Utility infielder", "Catcher", "Infielder", "Setup pitcher", "Outfielder" ], "function": "none", "commonness": -21.716341203072073, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_position", "class": "sports.sports_position", "friendly_name": "Sports position", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "sports.sport", "class": "sports.sport", "friendly_name": "Sport", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.new_york_yankees", "class": "sports.sports_team", "friendly_name": "New York Yankees", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "sports.sport.positions", 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"class": "base.fictionaluniverse.fictional_spacecraft", "friendly_name": "USS Voyager", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.fictionaluniverse.fictional_spaceship_crewman_posting.position", "friendly_name": "Position" }, { "start": 2, "end": 1, "relation": "base.fictionaluniverse.fictional_spacecraft.crew", "friendly_name": "Crew" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fictional_universe.character_occupation .\n ?x1 :type.object.type :base.fictionaluniverse.fictional_spaceship_crewman_posting\n VALUES ?x2 { :m.0fd33 }\n ?x1 :base.fictionaluniverse.fictional_spaceship_crewman_posting.position ?x0 .\n ?x2 :base.fictionaluniverse.fictional_spacecraft.crew ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 197000101, "question": "on the spaceship voyager, crewmen are of 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"Crew" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fictional_universe.character_occupation .\n ?x1 :type.object.type :base.fictionaluniverse.fictional_spaceship_crewman_posting\n VALUES ?x2 { :m.0fd33 }\n ?x1 :base.fictionaluniverse.fictional_spaceship_crewman_posting.position ?x0 .\n ?x2 :base.fictionaluniverse.fictional_spacecraft.crew ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 197000200, "question": "the uss voyager has what crew positions?", "answer": [ "Cook", "Captain", "Chief medical officer", "First officer", "Security Officer" ], "function": "none", "commonness": -25.230349463796532, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fictional_universe.character_occupation", "class": "fictional_universe.character_occupation", "friendly_name": "Character Occupation", 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0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.uss_voyager", "class": "base.fictionaluniverse.fictional_spacecraft", "friendly_name": "USS Voyager", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "base.fictionaluniverse.fictional_spaceship_crewman_posting.position", "friendly_name": "Position" }, { "start": 2, "end": 1, "relation": "base.fictionaluniverse.fictional_spacecraft.crew", "friendly_name": "Crew" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fictional_universe.character_occupation .\n ?x1 :type.object.type :base.fictionaluniverse.fictional_spaceship_crewman_posting\n VALUES ?x2 { :m.0fd33 }\n ?x1 :base.fictionaluniverse.fictional_spaceship_crewman_posting.position ?x0 .\n ?x2 :base.fictionaluniverse.fictional_spacecraft.crew ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 197000401, "question": "what type of occupations are available on the voyager?", "answer": [ "Security Officer", "First officer", "Chief medical officer", "Cook", "Captain" ], "function": "none", "commonness": -25.230349463796532, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "fictional_universe.character_occupation", "class": "fictional_universe.character_occupation", "friendly_name": "Character Occupation", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "base.fictionaluniverse.fictional_spaceship_crewman_posting", "class": "base.fictionaluniverse.fictional_spaceship_crewman_posting", "friendly_name": "Fictional Spaceship Crewman Posting", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.uss_voyager", "class": "base.fictionaluniverse.fictional_spacecraft", "friendly_name": "voyager", "question_node": 0, "function": "none" } ], "edges": [ { 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"base.fictionaluniverse.fictional_spacecraft.crew", "friendly_name": "Crew" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :fictional_universe.character_occupation .\n ?x1 :type.object.type :base.fictionaluniverse.fictional_spaceship_crewman_posting\n VALUES ?x2 { :m.0fd33 }\n ?x1 :base.fictionaluniverse.fictional_spaceship_crewman_posting.position ?x0 .\n ?x2 :base.fictionaluniverse.fictional_spacecraft.crew ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 198000000, "question": "the star having the least right ascension is of what spectral type?", "answer": [ "M7 IIIe" ], "function": "argmin", "commonness": -33.26212015489648, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.spectral_type", "class": "astronomy.spectral_type", "friendly_name": "Spectral Type", 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:m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000002, "question": "what radio programs share the same genre with grand old opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "grand old opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000100, "question": "what other radio programs are similar to grand ole opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "Grand Ole Opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000101, "question": "what other radio programs are similar to opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000102, "question": "what other radio programs are similar to grand old opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "grand old opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000200, "question": "grand ole opry is in the same genre as which other radio programs?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "Grand Ole Opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000201, "question": "opry is in the same genre as which other radio programs?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000202, "question": "grand old opry is in the same genre as which other radio programs?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "grand old opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000300, "question": "which radio programs can be found under the same genre with grand ole opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "Grand Ole Opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000301, "question": "which radio programs can be found under the same genre with opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000302, "question": "which radio programs can be found under the same genre with grand old opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "grand old opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000400, "question": "what radio shows share the same genre that's attributed to grand ole opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "Grand Ole Opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000401, "question": "what radio shows share the same genre that's attributed to opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 199000402, "question": "what radio shows share the same genre that's attributed to grand old opry?", "answer": [ "A Prairie Home Companion" ], "function": "none", "commonness": -23.568853346576827, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "radio.radio_program", "class": "radio.radio_program", "friendly_name": "Radio program", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "broadcast.genre", "class": "broadcast.genre", "friendly_name": "Broadcast Genre", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.grand_ole_opry", "class": "broadcast.content", "friendly_name": "grand old opry", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" }, { "start": 2, "end": 1, "relation": "broadcast.content.genre", "friendly_name": "Genres" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :radio.radio_program .\n ?x1 :type.object.type :broadcast.genre\n VALUES ?x2 { :m.0gg86 }\n ?x0 :broadcast.content.genre ?x1 .\n ?x2 :broadcast.content.genre ?x1\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 200000000, "question": "using the same method used to discover pluto, what celestial objects are discovered?", "answer": [ "Neptune" ], "function": "none", "commonness": -30.78749144639272, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.astronomical_discovery", "class": "astronomy.astronomical_discovery", "friendly_name": "Astronomical Discovery", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "astronomy.astronomical_discovery_technique", "class": "astronomy.astronomical_discovery_technique", "friendly_name": "Astronomical Discovery Technique", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.pluto", "class": "astronomy.astronomical_discovery", "friendly_name": "Pluto", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "astronomy.astronomical_discovery.discovery_technique", "friendly_name": "Discovery Technique" }, { "start": 1, "end": 2, "relation": "astronomy.astronomical_discovery_technique.astronomical_discoveries_by_this_method", "friendly_name": "Astronomical discoveries by this method" } ] }, "sparql_query": "PREFIX : 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2008 summer olympics have in common?", "answer": [ "Shooting sport", "Rowing", "Track and field athletics", "Artistic gymnastics" ], "function": "none", "commonness": -25.10133091784399, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "olympics.olympic_sport", "class": "olympics.olympic_sport", "friendly_name": "Olympic discipline", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.1912_summer_olympics", "class": "olympics.olympic_games", "friendly_name": "1912 Summer Olympics", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.2008_summer_olympics", "class": "olympics.olympic_games", "friendly_name": "2008 Summer Olympics", "question_node": 0, "function": "none" } ], "edges": [ { "start": 1, "end": 0, "relation": "olympics.olympic_games.sports", "friendly_name": "Sports" }, { "start": 0, "end": 2, "relation": "olympics.olympic_sport.olympic_games_contested", 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"start": 0, "end": 2, "relation": "olympics.olympic_sport.olympic_games_contested", "friendly_name": "Olympic games contested" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :olympics.olympic_sport\n VALUES ?x1 { :m.018ljb }\n VALUES ?x2 { :m.0kbws }\n ?x1 :olympics.olympic_games.sports ?x0 .\n ?x0 :olympics.olympic_sport.olympic_games_contested ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 208000000, "question": "the element with a covalent radius of 160.0 pm belong on which block of the periodic table?", "answer": [ "d-block" ], "function": "none", "commonness": -30.66769738687801, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.periodic_table_block", "class": "chemistry.periodic_table_block", "friendly_name": "Periodic table block", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.periodic_table_block.elements", "friendly_name": "Elements" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.covalent_radius", "friendly_name": "Covalent radius" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.periodic_table_block .\n ?x1 :type.object.type :chemistry.chemical_element\n VALUES ?x2 { \"160.0\"^^ \"160.0\"^^ \"160.0\"^^ }\n ?x0 :chemistry.periodic_table_block.elements ?x1 .\n ?x1 :chemistry.chemical_element.covalent_radius ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 208000100, "question": "find the periodic table block that contains chemical elements with covalent radius 160.0 pm.", "answer": [ "d-block" ], "function": "none", "commonness": -30.66769738687801, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.periodic_table_block", "class": "chemistry.periodic_table_block", "friendly_name": "Periodic table block", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.periodic_table_block.elements", "friendly_name": "Elements" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.covalent_radius", "friendly_name": "Covalent radius" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.periodic_table_block .\n ?x1 :type.object.type :chemistry.chemical_element\n VALUES ?x2 { \"160.0\"^^ \"160.0\"^^ \"160.0\"^^ }\n ?x0 :chemistry.periodic_table_block.elements ?x1 .\n ?x1 :chemistry.chemical_element.covalent_radius ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 208000200, "question": "the covalent radius of 160.0 pm describes an element in which periodic table block?", "answer": [ "d-block" ], "function": "none", "commonness": -30.66769738687801, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.periodic_table_block", "class": "chemistry.periodic_table_block", "friendly_name": "Periodic table block", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.periodic_table_block.elements", "friendly_name": "Elements" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.covalent_radius", "friendly_name": "Covalent radius" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.periodic_table_block .\n ?x1 :type.object.type :chemistry.chemical_element\n VALUES ?x2 { \"160.0\"^^ \"160.0\"^^ \"160.0\"^^ }\n ?x0 :chemistry.periodic_table_block.elements ?x1 .\n ?x1 :chemistry.chemical_element.covalent_radius ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 208000300, "question": "which periodic table block contains an element whose covalent radius is 160.0 pm?", "answer": [ "d-block" ], "function": "none", "commonness": -30.66769738687801, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.periodic_table_block", "class": "chemistry.periodic_table_block", "friendly_name": "Periodic table block", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.periodic_table_block.elements", "friendly_name": "Elements" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.covalent_radius", "friendly_name": "Covalent radius" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.periodic_table_block .\n ?x1 :type.object.type :chemistry.chemical_element\n VALUES ?x2 { \"160.0\"^^ \"160.0\"^^ \"160.0\"^^ }\n ?x0 :chemistry.periodic_table_block.elements ?x1 .\n ?x1 :chemistry.chemical_element.covalent_radius ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 208000400, "question": "in the periodic table, which block has an element with a covalent radius of 160.0 pm?", "answer": [ "d-block" ], "function": "none", "commonness": -30.66769738687801, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.periodic_table_block", "class": "chemistry.periodic_table_block", "friendly_name": "Periodic table block", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "160.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "160.0", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.periodic_table_block.elements", "friendly_name": "Elements" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.covalent_radius", "friendly_name": "Covalent radius" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :chemistry.periodic_table_block .\n ?x1 :type.object.type :chemistry.chemical_element\n VALUES ?x2 { \"160.0\"^^ \"160.0\"^^ \"160.0\"^^ }\n ?x0 :chemistry.periodic_table_block.elements ?x1 .\n ?x1 :chemistry.chemical_element.covalent_radius ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 209000000, "question": "the asteroid with the smallest absolute magnitude belongs to which group?", "answer": [ "Asteroid belt" ], "function": "argmin", "commonness": -27.666969789936328, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "astronomy.asteroid_group", "class": "astronomy.asteroid_group", "friendly_name": "Asteroid Group", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "astronomy.asteroid", "class": "astronomy.asteroid", "friendly_name": "Asteroid", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "14.3^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "14.3", "question_node": 0, "function": "argmin" } ], "edges": [ { "start": 1, "end": 0, "relation": "astronomy.asteroid.member_of_asteroid_group", "friendly_name": "Member of Asteroid Group" }, { "start": 1, "end": 2, "relation": "astronomy.celestial_object.absolute_magnitude", "friendly_name": "Absolute Magnitude" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :astronomy.asteroid_group . \n?x1 :type.object.type :astronomy.asteroid . \n{\nSELECT (MIN(?y2) AS ?x2) WHERE { \n?y0 :type.object.type :astronomy.asteroid_group . \n?y1 :type.object.type :astronomy.asteroid . \n?y1 :astronomy.asteroid.member_of_asteroid_group ?y0 . \n?y1 :astronomy.celestial_object.absolute_magnitude ?y2 . \nFILTER ( ?y0 != ?y1 && ?y0 != ?y2 && ?y1 != ?y2 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Coupé", "2012 Audi R8 Coupe", "2012 Lexus IS F", "2013 Bugatti Veyron Grand Sport", "2008 Aston Martin DBS", "2010 Audi S6", "2010 Aston Martin DB9 Volante", "2008 Audi S5", "2009 Bentley Continental GTC", "2007 Ferrari 612 Scaglietti", "2008 Mercedes-Benz S65 AMG", "2007 Maybach 62", "2008 Maserati GranTurismo", "2012 Aston Martin Virage Coupé", "2008 BMW Z4 M Coupé", "2009 Cadillac XLR", "2007 Cadillac STS-V", "2011 Aston Martin Rapide", "2007 Bentley Continental Flying Spur", "2011 Porsche Panamera S Hybrid", "2012 Audi S5 Coupe", "2008 BMW 7 Series", "2012 Audi TT Coupe", "2011 Aston Martin DB9 Volante", "2011 Rolls-Royce Phantom Coupe", "2008 Bentley Continental Flying Spur", "2007 Cadillac XLR-V", "2009 Morgan Aero 8", "2009 Lexus IS F", "2009 Cadillac CTS-V", "2009 Bentley Brooklands", "2007 BMW 7 Series", "2011 Audi S6", "2008 Porsche 911 Coupé", "2007 Audi A4 Cabriolet", "2009 Lamborghini Murciélago LP640 Roadster", "2007 Cadillac XLR", "2007 Audi A4 Avant", "2009 Aston Martin V8 Vantage Roadster", "2010 Audi R8 Spyder", "2008 Chevrolet Corvette Coupé", "2008 Bentley Continental GT", "2012 Aston Martin V8 Vantage S Roadster", "2009 BMW M3 Sedan", "2007 Mercedes-Benz SLK55 AMG", "2008 Chevrolet Corvette Convertible", "2012 Aston Martin Rapide", "2011 BMW M3 Coupé", "2009 Mazda Mazdaspeed3", "2011 Porsche Panamera Sedan", "2009 Lamborghini Murciélago LP640 Coupé", "2008 Saab 9-3 Sport Sedan", "2008 Ferrari 599 GTB Fiorano", "2011 Bentley Continental Flying Spur", "2007 Audi RS4", "2008 Mercedes-Benz CLS63 AMG", "2007 BMW 6 Series Convertible", "2011 Maybach 57", "2010 Aston Martin DB9 Coupé", "2008 Ford Mustang Coupé", "2009 BMW M6 Convertible", "2008 BMW X6", "2012 Jaguar XF", "2010 Audi R8 Coupe", "2008 Audi RS4 Cabriolet", "2009 Mercedes-Benz CLS63 AMG", "2008 Porsche Cayenne", "2012 Aston Martin Virage Volante", "2007 Porsche Cayman", "2007 Mercedes-Benz SLR-Class", "2007 Lamborghini Gallardo Coupé", "2011 Audi R8 Spyder", "2007 Bentley Arnage", "2010 Aston Martin V8 Vantage Roadster", "2012 Aston Martin V12 Vantage", "2007 Mercedes-Benz E63 AMG Sedan", "2009 Aston Martin V8 Vantage Coupé", "2007 Audi A6 Sedan", "2012 Audi TT Roadster", "2007 Ferrari F430 Coupé", "2012 Lamborghini Gallardo Spyder", "2007 Chevrolet Corvette Z06", "2011 Rolls-Royce Ghost", "2011 Maybach 62", "2011 Bentley Continental GTC", "2008 BMW M6 Convertible", "2009 Lamborghini Gallardo Coupé", "2007 Ferrari 599 GTB Fiorano", "2008 Porsche Boxster", "2008 Mercedes-Benz CL65 AMG", "2011 Aston Martin V8 Vantage Roadster", "2011 Bentley Mulsanne", "2007 Porsche 911 Cabriolet", "2011 Audi TT Coupe", "2010 Audi S5 Cabriolet", "2011 Audi R8 Coupe", "2007 Audi S6", "2012 Bentley Continental Flying Spur", "2010 Bentley Continental GT", "2008 Ferrari F430 Spider", "2011 Aston Martin V8 Vantage Coupé", "2011 Bentley Continental Supersports Convertible", "2011 Nissan 370Z Coupe", "2007 Morgan Aero 8", "2009 Aston Martin DB9 Volante", "2007 Audi S4 Cabriolet", "2011 Aston Martin V8 Vantage S Coupé", "2010 Audi S5 Coupe", "2007 BMW M6 Convertible", "2009 Porsche 911 Cabriolet", "2012 Audi S4 Sedan", "2007 BMW M5 Sedan", "2009 Bentley Arnage", "2009 Maybach 57", "2008 Audi A5", "2008 Mercedes-Benz SLR-Class", "2008 Audi RS4 Sedan", "2007 Chevrolet Corvette Coupé", "2012 Aston Martin DB9 Volante", "2008 Mercedes-Benz SL65 AMG", "2007 Mercedes-Benz E-Class Sedan", "2007 BMW Z4 M Roadster", "2007 Aston Martin DB9 Coupé", "2009 Mercedes-Benz SL63 AMG", "2007 Audi Q7", "2008 BMW M6 Coupé", "2012 BMW 3 Series Convertible", "2007 Ford Shelby GT500 Convertible", "2008 Audi S6", "2012 Jaguar XJ", "2010 Aston Martin Rapide", "2011 lexus IS F", "2007 Audi A4 Sedan", "2012 Aston Martin DBS Volante", "2008 Bentley Azure", "2009 Rolls-Royce Phantom Coupé", "2008 Mercedes-Benz SLK55 AMG", "2008 Lamborghini Gallardo Spyder", "2009 Mercedes-Benz S63 AMG", "2008 Audi S4 Avant", "2008 Bentley Continental GTC", "2011 Lamborghini Gallardo Coupe", "2009 Mercedes-Benz S65 AMG", "2012 Audi S5 Cabriolet", "2011 Porsche Cayman", "2009 Chevrolet Corvette Coupé", "2009 Mercedes-Benz SLR-Class", "2008 Jaguar XK Coupé", "2010 Nissan 370Z Roadster", "2008 Audi A4 Sedan", "2007 Maserati Quattroporte", "2008 Chevrolet Corvette Z06", "2012 Aston Martin DB9 Coupé", "2009 Mercedes-Benz C63 AMG", "2011 Porsche Boxster", "2011 Aston Martin Virage Coupé", "2008 Dodge Viper Convertible", "2007 BMW Z4 Coupé", "2008 Audi A3", "2007 Mercedes-Benz CL-Class", "2010 Aston Martin DBS Coupé", "2009 Audi S6", "2009 Bentley Continental Flying Spur", "2008 Aston Martin V8 Vantage Coupé", "2008 Porsche Cayman", "2008 Mitsubishi Lancer Evolution", "2010 Bentley Continental Flying Spur", "2011 Porsche 911 Cabriolet", "2011 Lotus Evora", "2008 Lamborghini Gallardo Coupé", "2007 Spyker C8 Double 12 Spyder", "2009 Mercedes-Benz SL65 AMG", "2007 Bentley Continental GT", "2011 Porsche Cayenne", "2012 Lamborghini Aventador", "2010 Aston Martin DBS Volante", "2007 Nissan 350Z Coupé", "2008 Jaguar XK Convertible", "2007 Aston Martin V8 Vantage Coupé", "2008 Lamborghini Reventon", "2007 BMW 3 Series Sedan", "2007 Mercedes-Benz SLK-Class", "2008 Lamborghini Murcielago LP640 Coupe", "2009 Nissan 370Z Coupe", "2007 BMW 6 Series Coupé", "2008 Bentley Arnage", "2009 Audi S8", "2012 BMW 3 Series Coupé", "2008 Audi Q7", "2012 Audi R8 Spyder", "2008 Maserati Quattroporte", "2007 Lamborghini Gallardo Spyder", "2009 BMW M5 Sedan", "2009 Jaguar XF", "2009 Mercedes-Benz E63 AMG Sedan", "2009 Aston Martin DB9 Coupé", "2009 Bentley Azure", "2009 Nissan Maxima", "2008 Mercedes-Benz SLK-Class", "2008 Cadillac XLR-V", "2011 Nissan 370Z Roadster", "2007 Mercedes-Benz SL55 AMG", "2011 Audi S5 Cabriolet", "2009 Porsche Cayenne", "2009 Audi R8", "2011 BMW M3 Sedan", "2007 Aston Martin DB9 Volante", "2009 Chevrolet Corvette ZR1", "2009 Jaguar XK Coupé", "2011 Aston Martin V8 Vantage S Roadster", "2009 Audi S4 Cabriolet", "2008 BMW Z4 Roadster", "2010 Aston Martin V8 Vantage Coupé", "2008 Lexus IS F", "2011 Aston Martin DB9 Coupé", "2012 Bentley Continental Supersports Convertible", "2012 Jaguar XK Coupé", "2008 Audi A4 Avant", "2007 Spyker C8 Spyder", "2010 Dodge Viper Convertible", "2007 Audi S4 Sedan", "2007 Mercedes-Benz CLS63 AMG", "2009 Chevrolet Corvette Z06", "2008 Maybach 57", "2011 BMW 5 Series Sedan", "2011 Aston Martin DBS Volante", "2012 Lamborghini Gallardo Coupé", "2008 Audi S4 Cabriolet", "2007 Chevrolet Corvette Convertible", "2007 Ferrari F430 Spider", "2007 Lamborghini Murcielago LP640 Roadster", "2007 Mercedes Benz SL-Class", "2007 BMW 3 Series Coupé" ], "function": ">=", "commonness": -28.15881302072892, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model_year", "class": "automotive.model_year", "friendly_name": "Automobile Model Year", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "automotive.trim_level", "class": "automotive.trim_level", "friendly_name": "Trim Level", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "243.01^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "243.01", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.trim_level.model_year", "friendly_name": "Model Year" }, { "start": 1, "end": 2, "relation": "automotive.trim_level.top_speed", "friendly_name": "Top Speed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model_year .\n ?x1 :type.object.type :automotive.trim_level\n FILTER ( ?x2 >= 243.01 )\n ?x1 :automotive.trim_level.model_year ?x0 ;\n :automotive.trim_level.top_speed ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 211000100, "question": "which car model years had car trim levels with a top speed of 243.01 km per hour or more?", "answer": [ "2007 Audi S4 Sedan", "2009 BMW Z4 Roadster", "2012 Aston Martin DBS Coupé", "2008 Aston Martin V8 Vantage Roadster", "2012 Aston Martin Rapide", "2008 Mercedes-Benz S65 AMG", "2008 Jaguar XK Coupé", "2008 Mercedes-Benz C63 AMG", "2008 Chevrolet Corvette Convertible", "2008 Ferrari 430 Scuderia", "2008 BMW M6 Coupé", "2007 Mercedes-Benz SLK55 AMG", "2012 Aston Martin Virage Volante", "2010 Audi S5 Cabriolet", "2010 Aston Martin DB9 Volante", "2007 Porsche Cayman", "2007 Cadillac STS-V", "2009 Audi S4 Cabriolet", "2011 Audi R8 Spyder", "2007 Ford Shelby GT500 Convertible", "2007 BMW 6 Series Convertible", "2009 Bentley Arnage", "2007 Cadillac XLR-V", "2012 Bentley Continental Supersports Convertible", "2007 Jaguar XK Convertible", "2012 Audi TT Roadster", "2012 Audi R8 Coupe", "2011 Audi TT Coupe", "2009 Mercedes-Benz E63 AMG Wagon", "2009 Mercedes-Benz S63 AMG", "2010 Bentley Azure T", "2007 BMW 7 Series", "2011 BMW Z4 Roadster", "2008 Mercedes-Benz SL55 AMG", "2011 Porsche Boxster", "2009 Audi S6", "2009 Mercedes-Benz CLS63 AMG", "2007 BMW 3 Series Convertible", "2009 Aston Martin V8 Vantage Roadster", "2010 Aston Martin V8 Vantage Roadster", "2008 Audi S8", "2008 BMW Z4 Roadster", "2009 Aston Martin DB9 Coupé", "2007 BMW 6 Series Coupé", "2007 BMW 3 Series Coupé", "2007 Audi S4 Cabriolet", "2008 Saab 9-3 Sport Sedan", "2007 Mercedes-Benz E63 AMG Sedan", "2007 Audi A4 Sedan", "2008 Saab Turbo X Sport Sedan", "2011 Bentley Continental Supersports Convertible", "2007 Lamborghini Gallardo Spyder", "2008 Mitsubishi Lancer Evolution", "2011 Aston Martin DB9 Volante", "2008 Mercedes-Benz CLS63 AMG", "2012 Audi TT Coupe", "2007 Mercedes-Benz R63 AMG", "2011 Maybach 57", "2008 Audi RS4 Sedan", "2012 Aston Martin DB9 Volante", "2008 BMW Z4 M Coupé", "2008 Mercedes-Benz CL65 AMG", "2007 Aston Martin DB9 Volante", "2008 Audi S4 Cabriolet", "2011 Aston Martin Rapide", "2007 Mercedes Benz SL-Class", "2010 Audi R8 Spyder", "2011 BMW M3 Coupé", "2007 Cadillac XLR", "2009 Bentley Continental GTC", "2007 Bentley Arnage", "2012 Jaguar XJ", "2011 Bentley Mulsanne", "2007 Audi A6 Sedan", "2012 Lamborghini Aventador", "2011 Aston Martin V8 Vantage Roadster", "2012 Bentley Mulsanne", "2008 Lamborghini Gallardo Spyder", "2011 Audi S4 Sedan", "2008 Dodge Viper Convertible", "2007 Cadillac CTS-V", "2008 Lamborghini Reventon", "2008 Bentley Continental Flying Spur", "2008 BMW Z4 M Roadster", "2007 Mercedes-Benz CLK63 AMG", "2007 Spyker C8 Spyder", "2008 Mercedes-Benz SL-Class", "2012 Aston Martin V8 Vantage S Coupé", "2007 Audi A4 Cabriolet", "2009 BMW M3 Convertible", "2008 Lexus IS F", "2007 Audi RS4", "2008 Maybach 57", "2012 Audi S4 Sedan", "2012 Aston Martin V8 Vantage S Roadster", "2008 Mercedes-Benz SLK-Class", "2008 Ferrari F430 Spider", "2007 Chevrolet Corvette Convertible", "2009 Bentley Brooklands", "2011 Aston Martin Virage Coupé", "2008 Bentley Azure", "2012 Audi TT RS", "2007 Mercedes-Benz SLK-Class", "2008 Maybach 62", "2008 Jaguar XK Convertible", "2007 Bentley Continental GT", "2011 Rolls-Royce Phantom Coupe", "2007 Maybach 57", "2007 Maserati Quattroporte", "2011 Audi R8 Coupe", "2009 Rolls-Royce Phantom Coupé", "2008 BMW Z4 Coupé", "2012 Lexus LFA", "2009 Mercedes-Benz ML63 AMG", "2008 Lamborghini Murcielago LP640 Coupe", "2008 Maserati GranTurismo", "2007 Aston Martin V8 Vantage Roadster", "2008 Mercedes-Benz SLR-Class", "2009 Nissan GT-R", "2009 Bentley Continental Flying Spur", "2007 Bentley Continental Flying Spur", "2008 Audi TT Roadster", "2008 Audi A3", "2009 Porsche 911 Cabriolet", "2010 Bentley Continental GT", "2009 Aston Martin DBS", "2012 Aston Martin V8 Vantage Coupé", "2009 Lamborghini Murciélago LP640 Roadster", "2012 Audi S5 Cabriolet", "2008 Porsche Cayman", "2011 Nissan 370Z Roadster", "2008 Ferrari F430 Coupé", "2011 Nissan 370Z Coupe", "2012 Bentley Continental Flying Spur", "2009 BMW M5 Sedan", "2007 Lamborghini Gallardo Coupé", "2007 Chevrolet Corvette Z06", "2008 BMW M5 Sedan", "2009 Cadillac XLR-V", "2007 Lamborghini Murcielago LP640 Roadster", "2007 Mercedes-Benz S65 AMG", "2012 Aston Martin V8 Vantage Roadster", "2009 Chevrolet Corvette Z06", "2008 Aston Martin DB9 Volante", "2007 Mercedes-Benz SLR-Class", "2007 Mercedes-Benz SL55 AMG", "2008 Ferrari 599 GTB Fiorano", "2009 Lamborghini Gallardo Coupé", "2012 Bentley Continental GT", "2011 Rolls-Royce Ghost", "2009 Aston Martin V8 Vantage Coupé", "2007 Spyker C8 Double 12 Spyder", "2009 Lamborghini Murciélago LP640 Coupé", "2008 Porsche 911 Coupé", "2011 Maybach 62", "2008 Ford Mustang Coupé", "2009 Audi S5", "2008 Audi S6", "2011 Audi S6", "2009 Lexus IS F", "2009 Maybach 57", "2008 Audi R8", "2009 Chevrolet Corvette Convertible", "2007 Audi Q7", "2008 Mercedes-Benz CL63 AMG", "2012 Jaguar XK Convertible", "2007 Ferrari F430 Spider", "2010 Lamborghini Gallardo Coupe", "2010 Aston Martin DB9 Coupé", "2008 Morgan Aero 8", "2008 Ferrari 612 Scaglietti", "2008 Bentley Arnage", "2007 Bentley Continental GTC", "2009 Jaguar XK Convertible", "2008 Audi S4 Avant", "2011 Audi S5 Cabriolet", "2007 Audi A8", "2011 Aston Martin DBS Volante", "2008 BMW M6 Convertible", "2007 Morgan Aero 8", "2012 Aston Martin V12 Vantage", "2010 Aston Martin Rapide", "2011 Lotus Exige", "2011 Lamborghini Gallardo Coupe", "2007 Audi S8", "2009 Lamborghini Gallardo Spyder", "2012 Jaguar XK Coupé", "2009 Chevrolet Corvette ZR1", "2008 Mercedes-Benz SLK55 AMG", "2012 Aston Martin DBS Volante", "2012 Aston Martin Virage Coupé", "2007 BMW Z4 Roadster", "2012 Lamborghini Gallardo Coupé", "2012 Bentley Continental Supersports Coupe", "2011 Porsche Cayenne", "2008 Audi Q7", "2008 Maserati Quattroporte", "2009 Porsche Cayenne", "2009 Cadillac XLR", "2008 Audi A5", "2008 Audi A8", "2011 Bentley Continental Flying Spur", "2008 Bentley Continental GT", "2008 Mercedes-Benz SL65 AMG", "2011 Aston Martin Virage Volante", "2009 BMW M6 Coupé", "2007 Porsche 911 Cabriolet", "2011 BMW M3 Sedan", "2011 BMW 1 Series Coupe", "2011 Porsche 911 Cabriolet", "2007 Jaguar XK Coupé", "2008 Mercedes-Benz S63 AMG", "2007 Nissan 350Z Coupé", "2007 Aston Martin V8 Vantage Coupé", "2012 Audi R8 Spyder", "2011 Bentley Continental Supersports Coupe", "2007 Spyker C8 Laviolette", "2007 Audi A4 Avant", "2008 BMW 7 Series", "2010 Aston Martin DBS Coupé", "2008 Aston Martin V8 Vantage Coupé", "2012 Audi S5 Coupe", "2009 Bentley Continental GT", "2011 BMW M3 Convertible", "2008 Porsche Boxster", "2011 Aston Martin DB9 Coupé", "2009 BMW M3 Coupé", "2008 Lamborghini Murcielago LP640 Roadster", "2007 Mercedes-Benz E-Class Sedan", "2007 BMW Z4 M Coupé", "2009 Jaguar XF", "2008 Lamborghini Gallardo Coupé", "2008 BMW X6", "2012 BMW 3 Series Convertible", "2007 BMW M6 Convertible", "2009 BMW M6 Convertible", "2007 BMW X5", "2010 Audi S6", "2009 Nissan 370Z Coupe", "2011 Porsche Panamera Sedan", "2011 BMW 5 Series Sedan", "2007 Mercedes-Benz CL-Class", "2011 Porsche 911 Coupe", "2007 Maybach 62", "2008 Porsche Cayenne", "2008 Cadillac XLR-V", "2012 BMW 3 Series Coupé", "2009 Mazda Mazdaspeed3", "2011 Bentley Continental GTC", "2009 Mercedes-Benz SL65 AMG", "2008 BMW M3 Coupé", "2008 Chevrolet Corvette Z06", "2009 BMW 1 Series Convertible", "2007 Lamborghini Murcielago LP640 Coupé", "2007 Ferrari 612 Scaglietti", "2007 Chevrolet Corvette Coupé", "2012 Aston Martin DB9 Coupé", "2009 Jaguar XK Coupé", "2009 Mercedes-Benz C63 AMG", "2009 Bentley Azure", "2007 Nissan 350Z Roadster", "2007 Mercedes-Benz E63 AMG Wagon", "2007 Porsche Boxster", "2011 Porsche Panamera S Hybrid", "2012 Lexus IS F", "2008 Audi S5", "2011 Lotus Evora", "2007 Aston Martin DB9 Coupé", "2010 Dodge Viper Convertible", "2010 Bentley Continental Flying Spur", "2009 Nissan Maxima", "2010 Bentley Brooklands", "2008 Bentley Continental GTC", "2007 Mercedes-Benz CLS-Class", "2008 Audi S4 Sedan", "2010 Audi S5 Coupe", "2010 Nissan 370Z Coupe", "2007 Ferrari F430 Coupé", "2010 Audi R8 Coupe", "2009 Cadillac CTS-V", "2012 Jaguar XF", "2008 Audi RS4 Cabriolet", "2007 Ferrari 599 GTB Fiorano", "2011 Aston Martin V8 Vantage S Coupé", "2013 Bugatti Veyron Grand Sport", "2008 Audi A4 Sedan", "2009 Audi S8", "2009 Audi R8", "2009 Mercedes-Benz SL63 AMG", "2011 lexus IS F", "2007 Mercedes-Benz SL65 AMG", "2008 Aston Martin DBS", "2011 Aston Martin DBS Coupé", "2008 BMW M3 Convertible", "2007 Audi S6", "2009 Chevrolet Corvette Coupé", "2007 BMW 3 Series Sedan", "2011 Aston Martin V8 Vantage S Roadster", "2011 Porsche Cayman", "2012 Lamborghini Gallardo Spyder", "2011 Aston Martin V12 Vantage", "2007 BMW M6 Coupé", "2011 Aston Martin V8 Vantage Coupé", "2009 Mercedes-Benz E63 AMG Sedan", "2007 BMW Z4 M Roadster", "2009 BMW M3 Sedan", "2008 Chevrolet Corvette Coupé", "2007 Bentley Azure", "2009 Aston Martin DB9 Volante", "2008 Dodge Viper Coupé", "2009 Mercedes-Benz S65 AMG", "2010 Bentley Continental GTC", "2008 BMW M3 Sedan", "2007 BMW Z4 Coupé", "2010 Bentley Continental Supersports", "2009 Porsche 911 Coupé", "2010 Aston Martin DBS Volante", "2009 Mercedes-Benz SLR-Class", "2010 Nissan 370Z Roadster", "2009 Morgan Aero 8", "2010 Aston Martin V8 Vantage Coupé", "2007 Mercedes-Benz CLS63 AMG", "2008 Aston Martin DB9 Coupé", "2008 Audi A4 Avant", "2007 BMW M5 Sedan" ], "function": ">=", "commonness": -28.15881302072892, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model_year", "class": "automotive.model_year", "friendly_name": "Automobile Model Year", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "automotive.trim_level", "class": "automotive.trim_level", "friendly_name": "Trim Level", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "243.01^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "243.01", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.trim_level.model_year", "friendly_name": "Model Year" }, { "start": 1, "end": 2, "relation": "automotive.trim_level.top_speed", "friendly_name": "Top Speed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model_year .\n ?x1 :type.object.type :automotive.trim_level\n FILTER ( ?x2 >= 243.01 )\n ?x1 :automotive.trim_level.model_year ?x0 ;\n :automotive.trim_level.top_speed ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 211000200, "question": "which cars model years can reach 243.01 kilometers per hour?", "answer": [ "2007 BMW 3 Series Convertible", "2007 Nissan 350Z Coupé", "2011 Aston Martin Virage Volante", "2007 Mercedes-Benz R63 AMG", "2007 BMW Z4 M Roadster", "2011 BMW M3 Sedan", "2009 BMW M5 Sedan", "2010 Bentley Brooklands", "2010 Audi S5 Cabriolet", "2011 lexus IS F", "2011 Aston Martin V8 Vantage Roadster", "2011 Aston Martin DBS Volante", "2008 Audi S6", "2012 Bentley Continental GT", "2007 Ferrari F430 Spider", "2007 Mercedes-Benz E63 AMG Sedan", "2009 Lexus IS F", "2010 Aston Martin V8 Vantage Roadster", "2009 Mercedes-Benz SL65 AMG", "2011 Aston Martin DBS Coupé", "2009 Jaguar XK Convertible", "2012 Lexus LFA", "2012 BMW 3 Series Coupé", "2007 Spyker C8 Double 12 Spyder", "2007 Maybach 57", "2008 Lamborghini Gallardo Coupé", "2008 BMW M3 Convertible", "2009 BMW Z4 Roadster", "2007 BMW 7 Series", "2008 Ferrari 612 Scaglietti", "2007 BMW X5", "2009 Porsche 911 Cabriolet", "2009 Audi S8", "2012 Jaguar XJ", "2011 Aston Martin V8 Vantage S Roadster", "2009 Chevrolet Corvette Coupé", "2009 Mercedes-Benz ML63 AMG", "2011 BMW M3 Coupé", "2008 Mercedes-Benz C63 AMG", "2012 Jaguar XF", "2007 Lamborghini Murcielago LP640 Coupé", "2008 Mercedes-Benz S63 AMG", "2009 Nissan Maxima", "2008 Jaguar XK Convertible", "2010 Audi S5 Coupe", "2008 Mercedes-Benz SL55 AMG", "2008 Bentley Continental Flying Spur", "2007 Audi A4 Avant", "2011 Rolls-Royce Phantom Coupe", "2010 Aston Martin DB9 Volante", "2007 Mercedes-Benz SL55 AMG", "2012 Lamborghini Aventador", "2012 Aston Martin V12 Vantage", "2009 Mercedes-Benz C63 AMG", "2008 Mercedes-Benz SLK55 AMG", "2009 Nissan GT-R", "2009 Mercedes-Benz SLR-Class", "2007 Cadillac CTS-V", "2010 Bentley Azure T", "2007 Aston Martin DB9 Coupé", "2011 Audi S6", "2007 Mercedes Benz SL-Class", "2008 Mercedes-Benz SL65 AMG", "2011 BMW 1 Series Coupe", "2008 Dodge Viper Convertible", "2008 Aston Martin DBS", "2007 Porsche 911 Cabriolet", "2011 Aston Martin Rapide", "2007 Audi S6", "2012 Bentley Mulsanne", "2010 Nissan 370Z Coupe", "2008 Audi Q7", "2010 Audi S6", "2007 Mercedes-Benz SLR-Class", "2008 Audi A4 Avant", "2007 Aston Martin V8 Vantage Roadster", "2009 Cadillac XLR-V", "2011 Bentley Continental Supersports Convertible", "2007 Mercedes-Benz CLS63 AMG", "2007 Chevrolet Corvette Convertible", "2007 Bentley Azure", "2008 Maybach 62", "2008 Audi S8", "2012 BMW 3 Series Convertible", "2008 Lamborghini Gallardo Spyder", "2009 Mercedes-Benz E63 AMG Wagon", "2007 Audi A4 Sedan", "2008 Mercedes-Benz CL63 AMG", "2012 Aston Martin Virage Coupé", "2012 Jaguar XK Coupé", "2007 Jaguar XK Coupé", "2008 BMW Z4 M Coupé", "2008 Mitsubishi Lancer Evolution", "2011 Aston Martin V8 Vantage S Coupé", "2012 Jaguar XK Convertible", "2009 Porsche 911 Coupé", "2008 Maserati Quattroporte", "2007 Jaguar XK Convertible", "2011 BMW M3 Convertible", "2009 Maybach 57", "2011 Nissan 370Z Coupe", "2011 Porsche 911 Cabriolet", "2010 Aston Martin DBS Volante", "2008 Audi R8", "2011 Audi S5 Cabriolet", "2007 Aston Martin V8 Vantage Coupé", "2007 Bentley Continental Flying Spur", "2009 Chevrolet Corvette Convertible", "2008 Mercedes-Benz SLR-Class", "2008 BMW Z4 Coupé", "2007 Mercedes-Benz CLK63 AMG", "2012 Aston Martin DBS Volante", "2007 Cadillac STS-V", "2008 Morgan Aero 8", "2009 Chevrolet Corvette ZR1", "2007 BMW 3 Series Coupé", "2008 Bentley Continental GTC", "2008 Mercedes-Benz SLK-Class", "2010 Bentley Continental Flying Spur", "2009 Mercedes-Benz SL63 AMG", "2011 Lamborghini Gallardo Coupe", "2011 Lotus Evora", "2011 Porsche Cayenne", "2007 BMW Z4 Roadster", "2008 BMW Z4 Roadster", "2010 Aston Martin DB9 Coupé", "2007 Chevrolet Corvette Z06", "2009 Aston Martin V8 Vantage Roadster", "2011 Porsche Panamera S Hybrid", "2007 Cadillac XLR-V", "2008 Chevrolet Corvette Coupé", "2008 Audi S4 Cabriolet", "2011 Porsche Panamera Sedan", "2008 Mercedes-Benz CL65 AMG", "2009 Audi S5", "2007 Mercedes-Benz E-Class Sedan", "2007 Nissan 350Z Roadster", "2008 Mercedes-Benz SL-Class", "2012 Audi R8 Coupe", "2007 Maserati Quattroporte", "2008 Chevrolet Corvette Z06", "2012 Aston Martin V8 Vantage Roadster", "2008 Mercedes-Benz CLS63 AMG", "2010 Aston Martin Rapide", "2012 Bentley Continental Flying Spur", "2009 BMW M6 Convertible", "2007 BMW 3 Series Sedan", "2011 Maybach 62", "2011 Aston Martin V8 Vantage Coupé", "2009 Bentley Azure", "2008 Audi S5", "2007 Mercedes-Benz SLK55 AMG", "2008 BMW M6 Convertible", "2009 Cadillac XLR", "2011 Bentley Mulsanne", "2013 Bugatti Veyron Grand Sport", "2011 Audi R8 Spyder", "2012 Aston Martin DBS Coupé", "2007 BMW Z4 M Coupé", "2007 Mercedes-Benz SLK-Class", "2012 Audi R8 Spyder", "2007 BMW Z4 Coupé", "2008 Audi RS4 Sedan", "2007 Audi S4 Cabriolet", "2008 Cadillac XLR-V", "2011 Porsche Boxster", "2008 Porsche 911 Coupé", "2012 Aston Martin V8 Vantage S Roadster", "2007 Audi RS4", "2008 Bentley Continental GT", "2008 Ferrari 599 GTB Fiorano", "2008 Audi A8", "2009 Porsche Cayenne", "2007 Lamborghini Murcielago LP640 Roadster", "2007 Ferrari F430 Coupé", "2012 Audi TT RS", "2007 Aston Martin DB9 Volante", "2011 Bentley Continental Flying Spur", "2008 Audi TT Roadster", "2007 Audi A6 Sedan", "2008 Lamborghini Murcielago LP640 Coupe", "2011 BMW 5 Series Sedan", "2008 BMW M6 Coupé", "2011 Aston Martin Virage Coupé", "2009 Rolls-Royce Phantom Coupé", "2011 Audi S4 Sedan", "2012 Aston Martin Virage Volante", "2007 Audi A8", "2012 Aston Martin DB9 Volante", "2010 Audi R8 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"2007 BMW M6 Coupé", "2008 Audi A3", "2012 Audi S5 Coupe", "2009 Lamborghini Murciélago LP640 Coupé", "2011 Aston Martin DB9 Volante", "2008 Aston Martin DB9 Coupé", "2009 Aston Martin V8 Vantage Coupé", "2011 Bentley Continental Supersports Coupe", "2009 Cadillac CTS-V", "2007 Ferrari 612 Scaglietti", "2012 Lamborghini Gallardo Coupé", "2012 Aston Martin Rapide", "2009 Chevrolet Corvette Z06", "2008 Saab Turbo X Sport Sedan", "2008 Bentley Azure", "2009 BMW M3 Coupé", "2007 Porsche Boxster", "2011 Porsche 911 Coupe", "2008 BMW X6", "2007 BMW M6 Convertible", "2008 Ferrari F430 Coupé", "2012 Lexus IS F", "2009 Mazda Mazdaspeed3", "2008 BMW M5 Sedan", "2008 Aston Martin DB9 Volante", "2008 Lexus IS F", "2007 Chevrolet Corvette Coupé", "2007 Mercedes-Benz S65 AMG", "2009 Jaguar XK Coupé", "2012 Bentley Continental Supersports Convertible", "2008 Ferrari 430 Scuderia", "2010 Aston Martin DBS Coupé", "2012 Aston Martin DB9 Coupé", "2008 Mercedes-Benz S65 AMG", "2008 BMW Z4 M Roadster", "2007 Audi A4 Cabriolet", "2008 BMW M3 Coupé", "2008 Audi RS4 Cabriolet", "2009 Lamborghini Gallardo Spyder", "2007 Mercedes-Benz SL65 AMG", "2008 Lamborghini Reventon", "2007 Bentley Continental GT", "2008 Lamborghini Murcielago LP640 Roadster", "2011 Bentley Continental GTC", "2009 Bentley Brooklands", "2009 BMW M6 Coupé", "2008 Maybach 57", "2010 Bentley Continental Supersports", "2007 Audi Q7", "2007 Lamborghini Gallardo Coupé", "2010 Audi R8 Coupe", "2008 BMW 7 Series", "2011 Aston Martin DB9 Coupé", "2009 Bentley Arnage", "2011 Audi R8 Coupe", "2009 Bentley Continental Flying Spur", "2009 Jaguar XF", "2007 Ford Shelby GT500 Convertible", "2008 Aston Martin V8 Vantage Coupé", "2009 Mercedes-Benz CLS63 AMG", "2009 Mercedes-Benz S63 AMG", "2011 Maybach 57", "2008 Bentley Arnage", "2008 Porsche Cayenne" ], "function": ">=", "commonness": -28.15881302072892, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "automotive.model_year", "class": "automotive.model_year", "friendly_name": "Automobile Model Year", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "automotive.trim_level", "class": "automotive.trim_level", "friendly_name": "Trim Level", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "243.01^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "243.01", "question_node": 0, "function": ">=" } ], "edges": [ { "start": 1, "end": 0, "relation": "automotive.trim_level.model_year", "friendly_name": "Model Year" }, { "start": 1, "end": 2, "relation": "automotive.trim_level.top_speed", "friendly_name": "Top Speed" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :automotive.model_year .\n ?x1 :type.object.type :automotive.trim_level\n FILTER ( ?x2 >= 243.01 )\n ?x1 :automotive.trim_level.model_year ?x0 ;\n :automotive.trim_level.top_speed ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 212000000, "question": "which isotopes have an atomic number lower than 22?", "answer": [ "Chlorine-51", "Sulfur-29", "Potassium-52", "Carbon-14", "Aluminium-24", "Neon-22", "Sodium-19", "Magnesium-26", "Argon-45", "Carbon-12", "Silicon-35", "Calcium-49", "Aluminium-33", "Lithium-12", "Fluorine-14", "Chlorine-29", "Calcium-36", "Sulfur-32", "Aluminium-30", "Chlorine-30", "Boron-11", "Helium-9", "Argon-39", "Chlorine-32", "Carbon-18", "Scandium-59", "Phosphorus-25", "Beryllium-14", "Sodium-35", "Scandium-41", "Aluminium-40", "Chlorine-41", "Beryllium-9", "Phosphorus-30", "Beryllium-6", "Silicon-27", "Neon-27", "Phosphorus-36", "Phosphorus-27", "Sulfur-37", "Argon-40", "Scandium-38", "Lithium-9", "Nitrogen-13", "Calcium-43", "Magnesium-38", "Calcium-52", "Phosphorus-39", "Scandium-42", "Magnesium-21", "Nitrogen-11", "Helium-10", "Silicon-28", "Beryllium-5", "Sodium-37", "Magnesium-32", "Chlorine-43", "Potassium-35", "Sulfur-31", "Argon-41", "Sulfur-48", "Boron-13", "Potassium-46", "Chlorine-47", "Calcium-54", "Phosphorus-28", "Chlorine-34", "Scandium-45", "Calcium-47", "Sulfur-44", "Sulfur-27", "Neon-19", "Magnesium-20", "Chlorine-28", "Potassium-32", "Argon-37", "Silicon-41", "Scandium-50", "Beryllium-7", "Chlorine-31", "Boron-8", "Potassium-40", "Sodium-27", "Boron-18", "Magnesium-25", "Sulfur-42", "Fluorine-19", "Fluorine-24", "Argon-51", "Sulfur-41", "Oxygen-16", "Phosphorus-41", "Silicon-24", "Argon-42", "Nitrogen-24", "Phosphorus-45", "Sulfur-28", "Phosphorus-40", "Calcium-45", "Sodium-36", "Silicon-31", "Silicon-37", "Chlorine-50", "Sodium-28", "Oxygen-25", "Silicon-34", "Calcium-40", "Sulfur-34", "Potassium-41", "Potassium-34", "Boron-14", "Argon-38", "Fluorine-26", "Silicon-33", "Fluorine-31", "Beryllium-11", "Neon-28", "Carbon-19", "Scandium-58", "Oxygen-19", "Potassium-42", "Nitrogen-16", "Neon-30", "Calcium-46", "Oxygen-13", "Argon-53", "Sulfur-49", "Sodium-22", "Aluminium-27", "Lithium-11", "Aluminium-21", "Calcium-37", "Neon-17", "Scandium-36", "Neon-18", "Neon-23", "Sodium-30", "Potassium-36", "Scandium-49", "Sodium-26", "Argon-32", "Calcium-53", "Silicon-44", "Potassium-33", "Nitrogen-21", "Silicon-23", "Magnesium-22", "Aluminium-25", "Calcium-35", "Scandium-54", "Fluorine-16", "Argon-46", "Fluorine-29", "Scandium-47", "Magnesium-28", "Aluminium-29", "Carbon-8", "Potassium-39", "Nitrogen-20", "Sodium-23", "Fluorine-28", "Potassium-45", "Helium-8", "Magnesium-36", "Aluminium-35", "Fluorine-18", "Potassium-53", "Sodium-29", "Chlorine-44", "Calcium-50", "Fluorine-21", "Potassium-51", "Boron-9", "Chlorine-48", "Argon-30", "Oxygen-21", "Nitrogen-18", "Helium-3", "Silicon-30", "Calcium-56", "Oxygen-14", "Lithium-5", "Sulfur-26", "Lithium-3", "Scandium-52", "Aluminium-42", "Calcium-55", "Carbon-17", "Magnesium-19", "Magnesium-33", "Sodium-18", "Phosphorus-31", "Neon-33", "Scandium-46", "Sulfur-36", "Oxygen-12", "Calcium-48", "Sulfur-38", "Aluminium-39", "Potassium-37", "Neon-20", "Aluminium-38", "Sodium-32", "Boron-17", "Aluminium-34", "Silicon-25", "Scandium-40", "Argon-52", "Hydrogen-5", "Sulfur-47", "Hydrogen-7", "Lithium-8", "Sodium-24", "Argon-31", "Chlorine-33", "Phosphorus-46", "Boron-16", "Silicon-43", "Lithium-10", "Silicon-40", "Potassium-48", "Magnesium-29", "Carbon-13", "Sodium-21", "Aluminium-31", "Magnesium-40", "Neon-29", "Phosphorus-43", "Phosphorus-38", "Neon-24", "Magnesium-39", "Fluorine-25", "Chlorine-39", "Boron-6", "Boron-10", "Argon-49", "Calcium-39", "Scandium-55", "Sodium-31", "Calcium-51", "Boron-19", "Aluminium-41", "Aluminium-28", "Oxygen-22", "Potassium-43", "Silicon-36", "Beryllium-10", "Oxygen-18", "Lithium-4", "Calcium-38", "Sulfur-33", "Sodium-25", "Lithium-7", "Oxygen-20", "Potassium-44", "Nitrogen-25", "Isotopes of nitrogen", "Beryllium-16", "Silicon-26", "Carbon-22", "Silicon-42", "Carbon-10", "Magnesium-34", "Phosphorus-42", "Argon-33", "Sodium-33", "Calcium-42", "Silicon-32", "Sodium-34", "Hydrogen-4", "Carbon-9", "Neon-34", "Carbon-16", "Scandium-48", "Sulfur-43", "Argon-34", "Phosphorus-37", "Deuterium", "Neon-16", "Nitrogen-22", "Carbon-15", "Scandium-37", "Oxygen-15", "Oxygen-28", "Nitrogen-19", "Argon-48", "Aluminium-23", "Argon-44", "Carbon-20", "Helium-4", "Aluminium-37", "Beryllium-8", "Helium-6", "Scandium-53", "Fluorine-22", "Neon-26", "Argon-35", "Scandium-39", "Sodium-20", "Chlorine-42", "Sulfur-46", "Neon-31", "Magnesium-27", "Phosphorus-35", "Argon-47", "Phosphorus-29", "Potassium-47", "Chlorine-40", "Boron-15", "Chlorine-49", "Neon-21", "Magnesium-31", "Scandium-51", "Phosphorus-26", "Fluorine-23", "Potassium-54", "Fluorine-20", "Calcium-41", "Magnesium-37", "Chlorine-45", "Beryllium-12", "Boron-12", "Chlorine-46", "Chlorine-35", "Magnesium-35", "Argon-50", "Chlorine-37", "Argon-36", "Carbon-11", "Nitrogen-12", "Nitrogen-14", "Nitrogen-23", "Sulfur-35", "Beryllium-13", "Helium-5", "Boron-7", "Oxygen-27", "Oxygen-23", "Fluorine-17", "Fluorine-30", "Magnesium-30", "Chlorine-36", "Hydrogen-6", "Fluorine-27", "Potassium-55", "Magnesium-24", "Silicon-39", "Potassium-50", "Phosphorus-33", "Fluorine-15", "Lithium-6", "Sulfur-40", "Calcium-44", "Sulfur-30", "Aluminium-36", "Magnesium-23", "Oxygen-17", "Neon-25", "Beryllium-15", "Silicon-29", "Calcium-34", "Carbon-21", "Oxygen-24", "Potassium-49", "Silicon-22", "Scandium-43", "Phosphorus-24", "Scandium-44", "Helium-7", "Aluminium-26", "Hydrogen-1", "Nitrogen-10", "Phosphorus-44", "Scandium-60", "Phosphorus-32", "Sulfur-45", "Oxygen-26", "Chlorine-38", "Aluminium-22", "Argon-43", "Sulfur-39", "Calcium-57", "Neon-32", "Aluminium-32", "Silicon-38", "Scandium-57", "Potassium-38", "Phosphorus-34", "Nitrogen-17", "Tritium", "Scandium-56" ], "function": "<", "commonness": -26.154403352993686, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", 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?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 212000100, "question": "list every isotope of the elements that have an atomic number under 22", "answer": [ "Argon-50", "Scandium-38", "Calcium-46", "Silicon-25", "Scandium-52", "Beryllium-14", "Hydrogen-6", "Carbon-16", "Calcium-56", "Neon-27", "Nitrogen-20", "Phosphorus-46", "Scandium-49", "Magnesium-31", "Aluminium-42", "Phosphorus-26", "Potassium-32", "Neon-25", "Oxygen-22", "Sulfur-27", "Silicon-29", "Fluorine-15", "Beryllium-10", "Magnesium-30", "Beryllium-7", "Calcium-38", "Scandium-58", "Deuterium", "Calcium-47", "Scandium-51", "Fluorine-24", "Potassium-38", "Chlorine-47", "Calcium-37", "Scandium-45", "Scandium-48", "Potassium-43", "Scandium-55", "Magnesium-40", "Fluorine-22", "Chlorine-39", "Potassium-51", "Potassium-49", "Phosphorus-38", "Scandium-36", "Lithium-11", "Argon-48", "Sodium-18", "Silicon-31", "Nitrogen-19", "Chlorine-38", "Phosphorus-25", "Sulfur-40", "Nitrogen-21", "Chlorine-28", "Potassium-33", "Lithium-12", "Phosphorus-40", "Sulfur-37", "Fluorine-30", "Sulfur-48", "Fluorine-29", "Helium-3", "Sulfur-31", "Nitrogen-14", "Sulfur-39", "Lithium-4", "Fluorine-27", "Calcium-35", "Magnesium-37", "Aluminium-21", "Potassium-53", "Silicon-44", "Carbon-15", "Neon-18", "Aluminium-31", "Helium-6", "Fluorine-21", "Chlorine-44", "Beryllium-12", "Silicon-30", "Carbon-14", "Silicon-35", "Magnesium-32", "Sodium-31", "Aluminium-35", "Argon-41", "Nitrogen-24", "Magnesium-25", "Boron-18", "Phosphorus-30", "Scandium-50", "Nitrogen-25", "Chlorine-36", "Calcium-57", "Helium-10", "Sulfur-36", "Potassium-47", "Hydrogen-4", "Silicon-43", "Beryllium-11", "Oxygen-16", "Phosphorus-43", "Argon-31", "Nitrogen-11", "Sodium-34", "Chlorine-37", "Silicon-34", "Sulfur-43", "Lithium-6", "Oxygen-18", "Sodium-28", "Magnesium-23", "Beryllium-13", "Argon-32", "Fluorine-19", "Magnesium-33", "Argon-34", "Calcium-44", "Argon-33", "Magnesium-21", "Sulfur-45", "Silicon-23", "Fluorine-17", "Chlorine-50", "Oxygen-13", "Potassium-37", "Boron-6", "Potassium-35", "Carbon-11", "Argon-47", "Argon-37", "Helium-9", "Neon-32", "Scandium-57", "Carbon-18", "Neon-33", "Argon-36", "Fluorine-18", "Fluorine-25", "Aluminium-23", "Chlorine-48", "Fluorine-26", "Helium-7", "Aluminium-32", "Sulfur-49", "Potassium-36", "Boron-7", "Magnesium-22", "Lithium-9", "Phosphorus-32", "Potassium-45", "Nitrogen-18", "Aluminium-24", "Sulfur-34", "Phosphorus-45", "Magnesium-27", "Boron-12", "Sodium-19", "Magnesium-26", "Magnesium-29", "Aluminium-40", "Calcium-40", "Magnesium-38", "Helium-5", "Sulfur-33", "Chlorine-42", "Calcium-55", "Sulfur-28", "Sulfur-30", "Phosphorus-42", "Sodium-20", "Sodium-32", "Argon-49", "Argon-51", "Aluminium-36", "Scandium-46", "Chlorine-46", "Chlorine-30", "Aluminium-39", "Aluminium-25", "Phosphorus-28", "Phosphorus-36", "Neon-16", "Boron-10", "Phosphorus-24", "Argon-38", "Aluminium-27", "Silicon-36", "Chlorine-40", "Chlorine-43", "Scandium-43", "Oxygen-23", "Neon-30", "Silicon-22", "Carbon-17", "Oxygen-12", "Sodium-25", "Sodium-33", "Nitrogen-13", "Silicon-41", "Sodium-27", "Calcium-50", "Boron-17", "Neon-17", "Fluorine-20", "Calcium-45", "Aluminium-41", "Aluminium-33", "Calcium-53", "Sulfur-35", "Potassium-41", "Calcium-54", "Boron-16", "Lithium-10", "Beryllium-5", "Chlorine-49", "Nitrogen-10", "Nitrogen-16", "Potassium-40", "Silicon-33", "Oxygen-17", "Chlorine-41", "Boron-13", "Aluminium-22", "Lithium-3", "Beryllium-9", "Chlorine-35", "Silicon-26", "Scandium-40", "Sodium-37", "Chlorine-32", "Phosphorus-31", "Boron-14", "Calcium-34", "Argon-44", "Oxygen-21", "Aluminium-28", "Calcium-39", "Silicon-28", "Helium-4", "Sulfur-32", "Scandium-60", "Potassium-50", "Argon-52", "Beryllium-15", "Calcium-36", "Argon-45", "Calcium-41", "Nitrogen-22", "Argon-43", "Argon-40", "Carbon-19", "Phosphorus-41", "Carbon-22", "Potassium-39", "Carbon-13", "Magnesium-24", "Oxygen-27", "Silicon-24", "Carbon-8", "Scandium-47", "Potassium-44", "Chlorine-51", "Fluorine-31", "Lithium-5", "Phosphorus-33", "Oxygen-24", "Oxygen-28", "Scandium-41", "Scandium-53", "Hydrogen-7", "Chlorine-34", "Chlorine-33", "Sulfur-44", "Isotopes of nitrogen", "Fluorine-14", "Oxygen-15", "Phosphorus-35", "Chlorine-29", "Aluminium-34", "Aluminium-29", "Silicon-37", "Boron-19", "Sulfur-26", "Chlorine-31", "Potassium-46", "Silicon-40", "Calcium-52", "Scandium-39", "Phosphorus-44", "Argon-35", "Sulfur-42", "Oxygen-20", "Silicon-39", "Beryllium-16", "Magnesium-39", "Sodium-24", "Scandium-37", "Hydrogen-5", "Potassium-42", "Scandium-42", "Neon-23", "Sulfur-38", "Lithium-7", "Beryllium-8", "Hydrogen-1", "Scandium-59", "Beryllium-6", "Sodium-26", "Calcium-43", "Neon-20", "Argon-30", "Magnesium-34", "Argon-39", "Magnesium-35", "Sodium-36", "Calcium-48", "Sulfur-41", "Argon-46", "Aluminium-30", "Carbon-21", "Carbon-10", "Scandium-56", "Sodium-21", "Calcium-49", "Nitrogen-12", "Sodium-23", "Oxygen-26", "Aluminium-26", "Phosphorus-27", "Magnesium-19", "Potassium-52", "Neon-19", "Tritium", "Lithium-8", "Potassium-55", "Sodium-35", "Oxygen-19", "Neon-34", "Potassium-48", "Carbon-20", "Fluorine-28", "Neon-29", "Boron-8", "Sulfur-29", "Scandium-54", "Calcium-51", "Phosphorus-29", "Sodium-22", "Neon-21", "Oxygen-25", "Sulfur-46", "Aluminium-38", "Fluorine-16", "Boron-9", "Silicon-38", "Magnesium-36", "Neon-24", "Scandium-44", "Sodium-29", "Phosphorus-39", "Calcium-42", "Nitrogen-23", "Argon-42", "Aluminium-37", "Neon-26", "Fluorine-23", "Sodium-30", "Neon-31", "Neon-22", "Nitrogen-17", "Magnesium-28", "Silicon-27", "Potassium-54", "Silicon-32", "Helium-8", "Potassium-34", "Phosphorus-34", "Silicon-42", "Carbon-12", "Carbon-9", "Magnesium-20", "Boron-15", "Oxygen-14", "Sulfur-47", "Chlorine-45", "Argon-53", "Neon-28", "Phosphorus-37", "Boron-11" ], "function": "<", "commonness": -26.154403352993686, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", "friendly_name": "Isotope", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "22^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "22", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.isotope.isotope_of", "friendly_name": "Isotope of" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.atomic_number", "friendly_name": "Atomic number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.isotope . \n?x1 :type.object.type :chemistry.chemical_element . \nFILTER (?x2 < 22)\n?x0 :chemistry.isotope.isotope_of ?x1 . \n?x1 :chemistry.chemical_element.atomic_number ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 212000200, "question": "what are the isotopes whose atomic number is smaller than 22?", "answer": [ "Hydrogen-5", "Sulfur-43", "Aluminium-27", "Calcium-38", "Potassium-32", "Magnesium-29", "Chlorine-51", "Chlorine-43", "Argon-38", "Argon-47", "Neon-26", "Boron-7", "Beryllium-15", "Phosphorus-40", "Fluorine-21", "Neon-30", "Carbon-8", "Carbon-15", "Lithium-5", "Scandium-55", "Argon-48", "Boron-13", "Sulfur-47", "Aluminium-37", "Sodium-21", "Boron-16", "Argon-30", "Potassium-43", "Scandium-45", "Magnesium-23", "Potassium-53", "Neon-25", "Chlorine-36", "Scandium-41", "Isotopes of nitrogen", "Argon-49", "Chlorine-35", "Potassium-48", "Fluorine-29", "Phosphorus-41", "Sulfur-48", "Scandium-48", "Scandium-58", "Aluminium-26", "Potassium-46", "Chlorine-33", "Neon-16", "Fluorine-23", "Aluminium-42", "Neon-23", "Calcium-49", "Sodium-35", "Lithium-8", "Silicon-39", "Carbon-21", "Argon-46", "Phosphorus-30", "Scandium-44", "Magnesium-20", "Potassium-45", "Nitrogen-12", "Sulfur-42", "Magnesium-38", "Lithium-4", "Oxygen-24", "Hydrogen-1", "Fluorine-22", "Scandium-51", "Helium-5", "Sulfur-31", "Chlorine-37", "Neon-19", "Sodium-19", "Sodium-25", "Helium-6", "Carbon-12", "Silicon-30", "Calcium-46", "Carbon-18", "Aluminium-25", "Magnesium-19", "Boron-19", "Silicon-42", "Lithium-3", "Argon-34", "Carbon-17", "Silicon-44", "Magnesium-37", "Neon-34", "Calcium-52", "Carbon-19", "Silicon-38", "Silicon-41", "Scandium-53", "Argon-37", "Oxygen-19", "Sodium-28", "Lithium-12", "Boron-14", "Oxygen-17", "Magnesium-21", "Scandium-52", "Sulfur-46", "Fluorine-17", "Sodium-32", "Scandium-46", "Aluminium-41", "Sodium-22", "Nitrogen-10", "Magnesium-24", "Chlorine-50", "Aluminium-33", "Potassium-52", "Sodium-23", "Boron-11", "Sulfur-29", "Sulfur-28", "Argon-52", "Potassium-44", "Argon-31", "Beryllium-5", "Argon-33", "Scandium-40", "Calcium-48", "Neon-17", "Calcium-34", "Fluorine-20", "Scandium-42", "Neon-31", "Scandium-59", "Phosphorus-27", "Calcium-51", "Calcium-39", "Potassium-37", "Scandium-57", "Argon-35", "Oxygen-18", "Sodium-31", "Calcium-53", "Carbon-20", "Chlorine-39", "Scandium-37", "Fluorine-25", "Aluminium-28", "Scandium-39", "Calcium-36", "Silicon-43", "Sulfur-26", "Potassium-39", "Silicon-26", "Silicon-40", "Fluorine-16", "Scandium-38", "Potassium-33", "Argon-39", "Phosphorus-39", "Neon-20", "Nitrogen-18", "Scandium-49", "Silicon-28", "Nitrogen-23", "Nitrogen-17", "Calcium-42", "Helium-7", "Calcium-41", "Silicon-23", "Boron-17", "Sulfur-36", "Potassium-40", "Scandium-36", "Chlorine-31", "Sodium-24", "Magnesium-25", "Neon-33", "Silicon-32", "Argon-40", "Oxygen-15", "Calcium-44", "Nitrogen-14", "Magnesium-30", "Deuterium", "Boron-8", "Sulfur-30", "Beryllium-6", "Aluminium-34", "Nitrogen-19", "Fluorine-15", "Sodium-37", "Chlorine-46", "Phosphorus-33", "Beryllium-10", "Potassium-38", "Magnesium-26", "Oxygen-22", "Fluorine-31", "Tritium", "Magnesium-35", "Phosphorus-46", "Phosphorus-29", "Aluminium-21", "Neon-21", "Potassium-41", "Silicon-35", "Sodium-26", "Phosphorus-37", "Sulfur-39", "Oxygen-20", "Oxygen-28", "Calcium-55", "Phosphorus-45", "Oxygen-13", "Boron-15", "Neon-32", "Aluminium-22", "Chlorine-29", "Fluorine-26", "Calcium-35", "Nitrogen-24", "Calcium-54", "Potassium-34", "Oxygen-27", "Calcium-56", "Lithium-10", "Potassium-50", "Argon-44", "Hydrogen-7", "Phosphorus-28", "Oxygen-12", "Nitrogen-25", "Sodium-29", "Silicon-36", "Carbon-16", "Helium-9", "Argon-42", "Calcium-47", "Beryllium-8", "Oxygen-21", "Sulfur-33", "Sulfur-41", "Calcium-43", "Boron-12", "Magnesium-31", "Silicon-25", "Argon-51", "Nitrogen-21", "Oxygen-25", "Helium-10", "Oxygen-26", "Silicon-29", "Neon-27", "Sulfur-37", "Magnesium-34", "Phosphorus-35", "Phosphorus-31", "Fluorine-19", "Aluminium-40", "Sodium-20", "Phosphorus-38", "Calcium-40", "Fluorine-30", "Boron-10", "Sulfur-40", "Scandium-43", "Nitrogen-20", "Argon-45", "Chlorine-32", "Silicon-31", "Phosphorus-26", "Magnesium-32", "Potassium-54", "Potassium-36", "Argon-50", "Chlorine-38", "Magnesium-22", "Boron-18", "Chlorine-40", "Sulfur-34", "Scandium-56", "Calcium-45", "Scandium-60", "Phosphorus-24", "Sulfur-45", "Aluminium-31", "Fluorine-28", "Chlorine-44", "Carbon-22", "Lithium-11", "Neon-18", "Carbon-13", "Lithium-7", "Fluorine-14", "Carbon-11", "Chlorine-47", "Aluminium-30", "Carbon-9", "Neon-22", "Sulfur-38", "Carbon-14", "Chlorine-42", "Fluorine-24", "Neon-24", "Nitrogen-22", "Aluminium-38", "Chlorine-48", "Magnesium-27", "Sulfur-27", "Sodium-30", "Phosphorus-34", "Boron-6", "Carbon-10", "Potassium-47", "Phosphorus-44", "Hydrogen-4", "Nitrogen-16", "Neon-29", "Phosphorus-25", "Silicon-24", "Magnesium-39", "Calcium-57", "Sulfur-49", "Beryllium-16", "Lithium-9", "Aluminium-23", "Sodium-34", "Sulfur-44", "Calcium-50", "Beryllium-13", "Magnesium-33", "Oxygen-14", "Beryllium-11", "Sodium-27", "Scandium-47", "Argon-43", "Nitrogen-11", "Potassium-42", "Chlorine-34", "Boron-9", "Aluminium-29", "Silicon-37", "Magnesium-36", "Sodium-18", "Neon-28", "Calcium-37", "Potassium-49", "Sulfur-35", "Aluminium-35", "Argon-41", "Oxygen-23", "Argon-32", "Sulfur-32", "Silicon-34", "Aluminium-24", "Silicon-22", "Magnesium-28", "Potassium-35", "Sodium-36", "Beryllium-14", "Beryllium-9", "Phosphorus-42", "Chlorine-41", "Chlorine-28", "Fluorine-27", "Beryllium-12", "Aluminium-36", "Aluminium-39", "Lithium-6", "Scandium-54", "Scandium-50", "Sodium-33", "Phosphorus-36", "Chlorine-30", "Oxygen-16", "Fluorine-18", "Magnesium-40", "Helium-4", "Aluminium-32", "Argon-53", "Chlorine-49", "Helium-3", "Potassium-55", "Chlorine-45", "Potassium-51", "Silicon-27", "Argon-36", "Phosphorus-32", "Beryllium-7", "Silicon-33", "Nitrogen-13", "Phosphorus-43", "Hydrogen-6", "Helium-8" ], "function": "<", "commonness": -26.154403352993686, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", "friendly_name": "Isotope", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.chemical_element", "class": "chemistry.chemical_element", "friendly_name": "Chemical Element", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "22^^http://www.w3.org/2001/XMLSchema#int", "class": "type.int", "friendly_name": "22", "question_node": 0, "function": "<" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.isotope.isotope_of", "friendly_name": "Isotope of" }, { "start": 1, "end": 2, "relation": "chemistry.chemical_element.atomic_number", "friendly_name": "Atomic number" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.isotope . \n?x1 :type.object.type :chemistry.chemical_element . \nFILTER (?x2 < 22)\n?x0 :chemistry.isotope.isotope_of ?x1 . \n?x1 :chemistry.chemical_element.atomic_number ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 212000300, "question": "find all the isotopes of the elements with an atomic number less than 22.", "answer": [ "Chlorine-30", "Argon-51", "Magnesium-30", "Carbon-19", "Scandium-48", "Calcium-47", "Sodium-22", "Oxygen-17", "Potassium-48", "Calcium-50", "Aluminium-27", "Calcium-48", "Phosphorus-28", "Phosphorus-42", "Neon-32", "Chlorine-38", "Sulfur-44", "Silicon-35", "Calcium-51", "Argon-30", "Aluminium-31", "Calcium-46", "Calcium-42", "Boron-12", "Magnesium-31", "Chlorine-49", "Phosphorus-32", "Sulfur-32", "Nitrogen-19", "Neon-33", "Boron-18", "Chlorine-46", "Fluorine-15", "Sulfur-39", "Magnesium-36", "Nitrogen-11", "Potassium-41", "Potassium-35", "Neon-21", "Sulfur-29", "Sulfur-33", "Sodium-36", "Aluminium-28", "Magnesium-37", "Sulfur-43", "Potassium-42", "Scandium-55", "Neon-34", "Neon-16", "Lithium-9", "Sodium-30", "Boron-10", "Potassium-53", "Magnesium-28", "Sodium-31", "Aluminium-33", "Potassium-36", "Phosphorus-30", "Neon-19", "Oxygen-15", "Magnesium-39", "Boron-16", "Silicon-29", "Carbon-10", "Calcium-40", "Lithium-8", "Chlorine-37", "Lithium-4", "Potassium-55", "Magnesium-23", "Nitrogen-20", "Phosphorus-40", "Nitrogen-25", "Argon-41", "Potassium-39", "Neon-28", "Fluorine-28", "Chlorine-32", "Boron-19", "Sulfur-30", "Oxygen-20", "Potassium-45", "Carbon-16", "Beryllium-6", "Scandium-49", "Sulfur-47", "Silicon-22", "Scandium-40", "Oxygen-27", "Argon-42", "Neon-18", "Nitrogen-22", "Hydrogen-5", "Sulfur-38", "Argon-50", "Neon-22", "Calcium-56", "Scandium-54", "Hydrogen-1", "Boron-6", "Chlorine-35", "Silicon-31", "Silicon-26", "Fluorine-20", "Sodium-32", "Nitrogen-24", "Deuterium", "Magnesium-21", "Aluminium-37", "Scandium-50", "Aluminium-30", "Calcium-36", "Scandium-43", "Isotopes of nitrogen", "Oxygen-19", "Aluminium-40", "Sodium-26", "Sulfur-31", "Boron-15", "Argon-49", "Scandium-37", "Aluminium-22", "Silicon-24", "Fluorine-18", "Oxygen-28", "Potassium-44", "Fluorine-16", "Neon-27", "Chlorine-48", "Sulfur-26", "Calcium-57", "Potassium-37", "Lithium-6", "Magnesium-22", "Potassium-32", "Argon-36", "Helium-9", "Fluorine-14", "Argon-43", "Sodium-33", "Nitrogen-18", "Neon-26", "Magnesium-40", "Silicon-30", "Beryllium-9", "Magnesium-19", "Magnesium-25", "Silicon-32", "Lithium-3", "Carbon-18", "Nitrogen-16", "Sodium-25", "Phosphorus-37", "Calcium-54", "Calcium-49", "Neon-25", "Beryllium-5", "Beryllium-12", "Phosphorus-27", "Fluorine-17", "Magnesium-29", "Chlorine-47", "Oxygen-24", "Potassium-40", "Helium-7", "Hydrogen-6", "Sulfur-49", "Carbon-17", "Aluminium-38", "Magnesium-33", "Silicon-33", "Sulfur-41", "Potassium-49", "Boron-14", "Phosphorus-36", "Silicon-43", "Potassium-43", "Argon-34", "Neon-29", "Carbon-9", "Aluminium-23", "Boron-13", "Fluorine-21", "Potassium-34", "Scandium-56", "Carbon-21", "Chlorine-50", "Fluorine-24", "Beryllium-16", "Phosphorus-25", "Phosphorus-38", "Argon-44", "Phosphorus-45", "Lithium-10", "Carbon-12", "Phosphorus-35", "Hydrogen-4", "Nitrogen-10", "Nitrogen-21", "Nitrogen-13", "Beryllium-10", "Phosphorus-29", "Aluminium-24", "Helium-6", "Oxygen-25", "Phosphorus-24", "Argon-48", "Tritium", "Chlorine-43", "Potassium-54", "Aluminium-32", "Sodium-23", "Beryllium-11", "Sodium-18", "Chlorine-45", "Potassium-38", "Fluorine-29", "Lithium-12", "Oxygen-14", "Carbon-14", "Aluminium-42", "Oxygen-26", "Scandium-52", "Scandium-42", "Calcium-41", "Calcium-55", "Argon-45", "Aluminium-41", "Phosphorus-43", "Scandium-45", "Aluminium-29", "Sodium-27", "Neon-30", "Chlorine-29", "Potassium-33", "Carbon-22", "Beryllium-15", "Oxygen-21", "Sodium-19", "Nitrogen-17", "Argon-37", "Scandium-39", "Argon-38", "Magnesium-38", "Argon-33", "Fluorine-26", "Boron-7", "Argon-32", "Phosphorus-26", "Boron-9", "Aluminium-25", "Calcium-39", "Boron-11", "Sodium-28", "Silicon-28", "Magnesium-27", "Magnesium-34", "Sulfur-27", "Sodium-34", "Potassium-47", "Calcium-38", "Calcium-37", "Neon-20", "Neon-17", "Chlorine-36", "Oxygen-18", "Helium-4", "Scandium-51", "Carbon-15", "Silicon-27", "Potassium-46", "Chlorine-33", "Silicon-44", "Scandium-36", "Beryllium-7", "Helium-8", "Chlorine-28", "Helium-5", "Aluminium-26", "Scandium-59", "Scandium-47", "Potassium-51", "Chlorine-51", "Sulfur-40", "Scandium-46", "Phosphorus-31", "Silicon-42", "Scandium-53", "Fluorine-27", "Silicon-41", "Sulfur-35", "Fluorine-25", "Argon-47", "Chlorine-31", "Carbon-13", "Magnesium-26", "Neon-31", "Oxygen-12", "Nitrogen-12", "Aluminium-36", "Chlorine-44", "Magnesium-24", "Argon-52", "Sodium-24", "Carbon-11", "Chlorine-42", "Carbon-20", "Chlorine-40", "Oxygen-23", "Sulfur-48", "Fluorine-22", "Neon-24", "Oxygen-13", "Argon-35", "Silicon-40", "Scandium-41", "Sodium-21", "Potassium-52", "Magnesium-35", "Sodium-37", "Sodium-20", "Scandium-44", "Fluorine-30", "Calcium-45", "Potassium-50", "Sulfur-37", "Fluorine-23", "Calcium-52", "Phosphorus-41", "Chlorine-34", "Helium-10", "Boron-8", "Lithium-11", "Silicon-39", "Neon-23", "Sulfur-45", "Calcium-34", "Magnesium-32", "Silicon-37", "Chlorine-39", "Lithium-5", "Aluminium-35", "Scandium-38", "Sulfur-36", "Argon-53", "Argon-31", "Argon-40", 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america is also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000001, "question": "how many american football players from the us is also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000002, "question": "how many american football players from the united states is also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000100, "question": "of all american football players in the united states of america, how many of them are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000101, "question": "of all american football players in the us, how many of them are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000102, "question": "of all american football players in the united states, how many of them are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000200, "question": "tell me the number of football players who is a citizen of the united states of america and who also has a profession as presenter.", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000201, "question": "tell me the number of football players who is a citizen of the us and who also has a profession as presenter.", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000202, "question": "tell me the number of football players who is a citizen of the united states and who also has a profession as presenter.", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000300, "question": "in the united states of america how many american football players are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000301, "question": "in the us how many american football players are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 213000302, "question": "in the united states how many american football players are also a presenter?", "answer": [ "7" ], "function": "count", "commonness": -15.490562875524642, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "american_football.football_player", "class": "american_football.football_player", "friendly_name": "American football player", "question_node": 1, "function": "count" }, { "nid": 1, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.presenter", "class": "people.profession", "friendly_name": "Presenter", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "people.person.nationality", "friendly_name": "Country of nationality" }, { "start": 0, "end": 2, "relation": "people.person.profession", "friendly_name": "Profession" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (COUNT(?x0) AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :american_football.football_player . \nVALUES ?x1 { :en.united_states_of_america } \nVALUES ?x2 { :en.presenter } \n?x0 :people.person.nationality ?x1 . \n?x0 :people.person.profession ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 214000000, "question": "the isotope with the greatest magnetic moment has what particle spin?", "answer": [ "9/2+" ], "function": "argmax", "commonness": -32.8158704005543, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.particle_spin", "class": "chemistry.particle_spin", "friendly_name": "Particle spin", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", "friendly_name": "Isotope", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "3.2197^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "3.2197", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.particle_spin.isotopes", "friendly_name": "Isotopes" }, { "start": 1, "end": 2, "relation": "chemistry.isotope.magnetic_moment", "friendly_name": "Magnetic moment" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.particle_spin . \n?x1 :type.object.type :chemistry.isotope . \n{\nSELECT (MAX(?y2) AS ?x2) WHERE { \n?y0 :type.object.type :chemistry.particle_spin . \n?y1 :type.object.type :chemistry.isotope . \n?y0 :chemistry.particle_spin.isotopes ?y1 . \n?y1 :chemistry.isotope.magnetic_moment ?y2 . \nFILTER ( ?y0 != ?y1 && ?y0 != ?y2 && ?y1 != ?y2 )\n}\n}\n?x0 :chemistry.particle_spin.isotopes ?x1 . \n?x1 :chemistry.isotope.magnetic_moment ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 214000100, "question": "what particle spin does the isotope with the largest magnetic moment have?", "answer": [ "9/2+" ], "function": "argmax", "commonness": -32.8158704005543, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.particle_spin", "class": "chemistry.particle_spin", "friendly_name": "Particle spin", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", "friendly_name": "Isotope", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "3.2197^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "3.2197", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.particle_spin.isotopes", "friendly_name": "Isotopes" }, { "start": 1, "end": 2, "relation": "chemistry.isotope.magnetic_moment", "friendly_name": "Magnetic moment" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.particle_spin . \n?x1 :type.object.type :chemistry.isotope . \n{\nSELECT (MAX(?y2) AS ?x2) WHERE { \n?y0 :type.object.type :chemistry.particle_spin . \n?y1 :type.object.type :chemistry.isotope . \n?y0 :chemistry.particle_spin.isotopes ?y1 . \n?y1 :chemistry.isotope.magnetic_moment ?y2 . \nFILTER ( ?y0 != ?y1 && ?y0 != ?y2 && ?y1 != ?y2 )\n}\n}\n?x0 :chemistry.particle_spin.isotopes ?x1 . \n?x1 :chemistry.isotope.magnetic_moment ?x2 . \nFILTER ( ?x0 != ?x1 && ?x0 != ?x2 && ?x1 != ?x2 )\n}\n}" }, { "qid": 214000200, "question": "what is the particle spin of the isotope with the largest magnetic moment.", "answer": [ "9/2+" ], "function": "argmax", "commonness": -32.8158704005543, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "chemistry.particle_spin", "class": "chemistry.particle_spin", "friendly_name": "Particle spin", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "chemistry.isotope", "class": "chemistry.isotope", "friendly_name": "Isotope", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "3.2197^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "3.2197", "question_node": 0, "function": "argmax" } ], "edges": [ { "start": 0, "end": 1, "relation": "chemistry.particle_spin.isotopes", "friendly_name": "Isotopes" }, { "start": 1, "end": 2, "relation": "chemistry.isotope.magnetic_moment", "friendly_name": "Magnetic moment" } ] }, "sparql_query": "PREFIX rdf: PREFIX rdfs: PREFIX : \nSELECT (?x0 AS ?value) WHERE {\nSELECT DISTINCT ?x0 WHERE { \n?x0 :type.object.type :chemistry.particle_spin . \n?x1 :type.object.type :chemistry.isotope . \n{\nSELECT (MAX(?y2) AS ?x2) WHERE { \n?y0 :type.object.type :chemistry.particle_spin . \n?y1 :type.object.type :chemistry.isotope . \n?y0 :chemistry.particle_spin.isotopes ?y1 . \n?y1 :chemistry.isotope.magnetic_moment ?y2 . \nFILTER ( ?y0 != ?y1 && ?y0 != ?y2 && ?y1 != ?y2 )\n}\n}\n?x0 :chemistry.particle_spin.isotopes ?x1 . \n?x1 :chemistry.isotope.magnetic_moment ?x2 . \nFILTER 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the audio equipments with a weight of at most 31.7 kg that are manufactured in the united states of america?", "answer": [ "Martin-Logan Preface", "Revel Concerta F12", "Revel Performa M22", "Zu Audio Druid", "Martin-Logan Source", "Revel Ultima Gem2", "Revel Concerta M12", "Revel Performa F32", "Martin-Logan Purity", "Martin-Logan Vantage", "Martin-Logan Spire", "Martin-Logan Vignette", "Bel Canto e.One Dac3", "Zu Audio Essence", "Zu Audio Druid Credenza", "Wilson Audio Duette", "KEF Reference 201/2", "Martin-Logan Vista" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000001, "question": "what are the audio equipments with a weight of at most 31.7 kg that are manufactured in the us?", "answer": [ "Martin-Logan Vantage", "Bel Canto e.One Dac3", "Zu Audio Druid Credenza", "KEF Reference 201/2", "Martin-Logan Purity", "Martin-Logan Preface", "Martin-Logan Vignette", "Martin-Logan Spire", "Revel Performa F32", "Martin-Logan Vista", "Revel Concerta F12", "Revel Ultima Gem2", "Revel Performa M22", "Zu Audio Druid", "Revel Concerta M12", "Zu Audio Essence", "Wilson Audio Duette", "Martin-Logan Source" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000002, "question": "what are the audio equipments with a weight of at most 31.7 kg that are manufactured in the united states?", "answer": [ "Revel Concerta M12", "Bel Canto e.One Dac3", "Revel Concerta F12", "Zu Audio Essence", "KEF Reference 201/2", "Zu Audio Druid", "Martin-Logan Spire", "Zu Audio Druid Credenza", "Revel Ultima Gem2", "Martin-Logan Vignette", "Revel Performa F32", "Martin-Logan Source", "Revel Performa M22", "Martin-Logan Purity", "Martin-Logan Vista", "Martin-Logan Vantage", "Martin-Logan Preface", "Wilson Audio Duette" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000100, "question": "find audio equipments manufactured in the united states of america and weighing no more than 31.7 kg.", "answer": [ "Bel Canto e.One Dac3", "Martin-Logan Spire", "Wilson Audio Duette", "Martin-Logan Vignette", "Martin-Logan Source", "Martin-Logan Vantage", "Zu Audio Druid", "Revel Performa M22", "Martin-Logan Vista", "Revel Concerta M12", "Martin-Logan Purity", "Revel Concerta F12", "Zu Audio Druid Credenza", "Revel Ultima Gem2", "Martin-Logan Preface", "Revel Performa F32", "KEF Reference 201/2", "Zu Audio Essence" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000101, "question": "find audio equipments manufactured in the us and weighing no more than 31.7 kg.", "answer": [ "KEF Reference 201/2", "Revel Concerta F12", "Revel Concerta M12", "Martin-Logan Spire", "Wilson Audio Duette", "Bel Canto e.One Dac3", "Zu Audio Essence", "Zu Audio Druid", "Martin-Logan Source", "Martin-Logan Preface", "Martin-Logan Purity", "Martin-Logan Vista", "Revel Ultima Gem2", "Martin-Logan Vignette", "Martin-Logan Vantage", "Revel Performa M22", "Revel Performa F32", "Zu Audio Druid Credenza" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000102, "question": "find audio equipments manufactured in the united states and weighing no more than 31.7 kg.", "answer": [ "Zu Audio Essence", "Zu Audio Druid Credenza", "Revel Concerta M12", "Revel Concerta F12", "Martin-Logan Vignette", "KEF Reference 201/2", "Revel Performa M22", "Zu Audio Druid", "Revel Ultima Gem2", "Martin-Logan Preface", "Wilson Audio Duette", "Martin-Logan Source", "Martin-Logan Purity", "Bel Canto e.One Dac3", "Martin-Logan Vantage", "Revel Performa F32", "Martin-Logan Spire", "Martin-Logan Vista" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "united states", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000200, "question": "what audio equipment manufactured in the united states of america weighs at most 31.7 kg?", "answer": [ "KEF Reference 201/2", "Revel Concerta F12", "Martin-Logan Source", "Martin-Logan Purity", "Zu Audio Druid", "Martin-Logan Vista", "Revel Ultima Gem2", "Martin-Logan Vignette", "Zu Audio Druid Credenza", "Martin-Logan Vantage", "Bel Canto e.One Dac3", "Revel Performa M22", "Revel Performa F32", "Revel Concerta M12", "Zu Audio Essence", "Wilson Audio Duette", "Martin-Logan Preface", "Martin-Logan Spire" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "United States of America", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000201, "question": "what audio equipment manufactured in the us weighs at most 31.7 kg?", "answer": [ "Martin-Logan Vignette", "Zu Audio Druid", "Martin-Logan Vista", "Revel Performa F32", "Martin-Logan Source", "KEF Reference 201/2", "Zu Audio Druid Credenza", "Martin-Logan Purity", "Bel Canto e.One Dac3", "Zu Audio Essence", "Revel Performa M22", "Martin-Logan Spire", "Martin-Logan Vantage", "Revel Concerta F12", "Martin-Logan Preface", "Wilson Audio Duette", "Revel Concerta M12", "Revel Ultima Gem2" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": "Audio Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "literal", "id": "31.7^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "31.7", "question_node": 0, "function": "<=" }, { "nid": 2, "node_type": "entity", "id": "en.united_states_of_america", "class": "location.country", "friendly_name": "us", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "base.audiobase.audio_equipment.weight", "friendly_name": "Weight" }, { "start": 0, "end": 2, "relation": "base.audiobase.audio_equipment.country_of_manufacture", "friendly_name": "Country of Manufacture" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.audiobase.audio_equipment\n FILTER ( ?x1 <= 31.7 )\n VALUES ?x2 { :m.09c7w0 }\n ?x0 :base.audiobase.audio_equipment.weight ?x1 ;\n :base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 221000202, "question": "what audio equipment manufactured in the united states weighs at most 31.7 kg?", "answer": [ "Martin-Logan Vista", "Revel Performa F32", "Bel Canto e.One Dac3", "Revel Performa M22", "Zu Audio Druid Credenza", "Martin-Logan Vignette", "KEF Reference 201/2", "Revel Concerta F12", "Revel Ultima Gem2", "Zu Audio Essence", "Martin-Logan Spire", "Martin-Logan Source", "Zu Audio Druid", "Wilson Audio Duette", "Revel Concerta M12", "Martin-Logan Purity", "Martin-Logan Vantage", "Martin-Logan Preface" ], "function": "<=", "commonness": -26.730049215528396, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "base.audiobase.audio_equipment", "class": "base.audiobase.audio_equipment", "friendly_name": 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:base.audiobase.audio_equipment.country_of_manufacture ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 222000000, "question": "find the designer of the rocket engine with the strongest thrust at sea level.", "answer": [ "KBKHA (KB Khimavtomatiki)" ], "function": "argmax", "commonness": -30.03505371928707, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "spaceflight.rocket_engine_designer", "class": "spaceflight.rocket_engine_designer", "friendly_name": "Rocket engine designer", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "spaceflight.rocket_engine", "class": "spaceflight.rocket_engine", "friendly_name": "Rocket engine", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "literal", "id": "778120.0^^http://www.w3.org/2001/XMLSchema#double", "class": "type.float", "friendly_name": "778120.0", "question_node": 0, "function": "argmax" } ], 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{ "qid": 225000301, "question": "what equipments do scuba diving and world bog snorkelling championship share?", "answer": [ "Swimfin" ], "function": "none", "commonness": -27.779770259441403, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_equipment", "class": "sports.sports_equipment", "friendly_name": "Sports Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.scuba_diving", "class": "sports.sport", "friendly_name": "Scuba diving", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.bog_snorkelling", "class": "sports.sport", "friendly_name": "world bog snorkelling championship", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" }, { "start": 0, "end": 2, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_equipment\n VALUES ?x1 { :m.04njq1 }\n VALUES ?x2 { :m.07hh5h }\n ?x0 :sports.sports_equipment.sport_used_for ?x1 ;\n :sports.sports_equipment.sport_used_for ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 225000302, "question": "what equipments do scuba diving and bog snorkeling share?", "answer": [ "Swimfin" ], "function": "none", "commonness": -27.779770259441403, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_equipment", "class": "sports.sports_equipment", "friendly_name": "Sports Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.scuba_diving", "class": "sports.sport", "friendly_name": "Scuba diving", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.bog_snorkelling", "class": "sports.sport", "friendly_name": "bog snorkeling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" }, { "start": 0, "end": 2, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_equipment\n VALUES ?x1 { :m.04njq1 }\n VALUES ?x2 { :m.07hh5h }\n ?x0 :sports.sports_equipment.sport_used_for ?x1 ;\n :sports.sports_equipment.sport_used_for ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 225000400, "question": "what equipments are scuba diving and bog snorkelling both using?", "answer": [ "Swimfin" ], "function": "none", "commonness": -27.779770259441403, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_equipment", "class": "sports.sports_equipment", "friendly_name": "Sports Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.scuba_diving", "class": "sports.sport", "friendly_name": "Scuba diving", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.bog_snorkelling", "class": "sports.sport", "friendly_name": "Bog snorkelling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" }, { "start": 0, "end": 2, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_equipment\n VALUES ?x1 { :m.04njq1 }\n VALUES ?x2 { :m.07hh5h }\n ?x0 :sports.sports_equipment.sport_used_for ?x1 ;\n :sports.sports_equipment.sport_used_for ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 225000401, "question": "what equipments are scuba diving and world bog snorkelling championship both using?", "answer": [ "Swimfin" ], "function": "none", "commonness": -27.779770259441403, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_equipment", "class": "sports.sports_equipment", "friendly_name": "Sports Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.scuba_diving", "class": "sports.sport", "friendly_name": "Scuba diving", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.bog_snorkelling", "class": "sports.sport", "friendly_name": "world bog snorkelling championship", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" }, { "start": 0, "end": 2, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_equipment\n VALUES ?x1 { :m.04njq1 }\n VALUES ?x2 { :m.07hh5h }\n ?x0 :sports.sports_equipment.sport_used_for ?x1 ;\n :sports.sports_equipment.sport_used_for ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 225000402, "question": "what equipments are scuba diving and bog snorkeling both using?", "answer": [ "Swimfin" ], "function": "none", "commonness": -27.779770259441403, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "sports.sports_equipment", "class": "sports.sports_equipment", "friendly_name": "Sports Equipment", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "entity", "id": "en.scuba_diving", "class": "sports.sport", "friendly_name": "Scuba diving", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.bog_snorkelling", "class": "sports.sport", "friendly_name": "bog snorkeling", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" }, { "start": 0, "end": 2, "relation": "sports.sports_equipment.sport_used_for", "friendly_name": "Sport used for" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :sports.sports_equipment\n VALUES ?x1 { :m.04njq1 }\n VALUES ?x2 { :m.07hh5h }\n ?x0 :sports.sports_equipment.sport_used_for ?x1 ;\n :sports.sports_equipment.sport_used_for ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000000, "question": "find all games published by the same publisher of dungeons & dragons.", "answer": [ "Gamma World", "Xiaolin Showdown Trading Card Game", "Dungeons & Dragons Expert Set", "Duel Masters Trading Card Game", "d20 System", "Axis & Allies: D-Day", "Dungeons & Dragons Basic Set", "Blood Wars", "Star Wars Trading Card Game", "Advanced Dungeons & Dragons 2nd Edition", "Hecatomb", "NBA Showdown", "The Simpsons Trading Card Game", "Codename: Kids Next Door Trading Card Game", "Dungeons & Dragons (3rd Edition)", "Netrunner", "RoboRally", "Magic: The Gathering", "Advanced Dungeons & Dragons", "Pokémon Trading Card Game", "Castle Ravenloft Board Game", "BattleTech Collectible Card Game", "Filthy Rich", "Dungeons & Dragons Basic Game", "Axis & Allies: Europe", "Neopets Trading Card Game", "Chainmail", "MLB Showdown", "Cavaliers and Roundheads", "d20 Modern", "Indiana Jones", "Pivot", "Doomtown", "Star Wars Miniatures", "Dreamblade", "Dungeons & Dragons (4th Edition)", "NFL Showdown", "Dune", "Dungeons & Dragons Miniatures Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "Dungeons & Dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000001, "question": "find all games published by the same publisher of d&d.", "answer": [ "Dungeons & Dragons Basic Game", "Star Wars Trading Card Game", "Advanced Dungeons & Dragons 2nd Edition", "NBA Showdown", "Dungeons & Dragons (4th Edition)", "Xiaolin Showdown Trading Card Game", "Dreamblade", "RoboRally", "d20 Modern", "Netrunner", "The Simpsons Trading Card Game", "Magic: The Gathering", "Dungeons & Dragons (3rd Edition)", "Axis & Allies: Europe", "MLB Showdown", "Duel Masters Trading Card Game", "Dungeons & Dragons Miniatures Game", "Doomtown", "Cavaliers and Roundheads", "BattleTech Collectible Card Game", "Axis & Allies: D-Day", "Neopets Trading Card Game", "Dune", "Pokémon Trading Card Game", "NFL Showdown", "Filthy Rich", "Star Wars Miniatures", "Blood Wars", "Gamma World", "Dungeons & Dragons Expert Set", "Castle Ravenloft Board Game", "Indiana Jones", "Dungeons & Dragons Basic Set", "Advanced Dungeons & Dragons", "d20 System", "Chainmail", "Hecatomb", "Codename: Kids Next Door Trading Card Game", "Pivot" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "d&d", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000002, "question": "find all games published by the same publisher of dungeons and dragons.", "answer": [ "Axis & Allies: Europe", "Blood Wars", "Magic: The Gathering", "Indiana Jones", "Dune", "Xiaolin Showdown Trading Card Game", "Star Wars Miniatures", "Chainmail", "Gamma World", "Doomtown", "Dungeons & Dragons (3rd Edition)", "d20 Modern", "MLB Showdown", "Pivot", "RoboRally", "Netrunner", "Filthy Rich", "NBA Showdown", "Advanced Dungeons & Dragons 2nd Edition", "NFL Showdown", "d20 System", "Codename: Kids Next Door Trading Card Game", "Star Wars Trading Card Game", "Dungeons & Dragons Basic Set", "Advanced Dungeons & Dragons", "Axis & Allies: D-Day", "Neopets Trading Card Game", "BattleTech Collectible Card Game", "Duel Masters Trading Card Game", "Castle Ravenloft Board Game", "The Simpsons Trading Card Game", "Dungeons & Dragons Basic Game", "Dungeons & Dragons Expert Set", "Dungeons & Dragons (4th Edition)", "Hecatomb", "Dungeons & Dragons Miniatures Game", "Dreamblade", "Pokémon Trading Card Game", "Cavaliers and Roundheads" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000100, "question": "list every game that was put out by the same company that released dungeons & dragons.", "answer": [ "Advanced Dungeons & Dragons 2nd Edition", "Advanced Dungeons & Dragons", "MLB Showdown", "Duel Masters Trading Card Game", "Magic: The Gathering", "Dreamblade", "Star Wars Trading Card Game", "Axis & Allies: D-Day", "Blood Wars", "Cavaliers and Roundheads", "Axis & Allies: Europe", "Dune", "Pivot", "Dungeons & Dragons (3rd Edition)", "Codename: Kids Next Door Trading Card Game", "Dungeons & Dragons Miniatures Game", "NBA Showdown", "NFL Showdown", "Dungeons & Dragons (4th Edition)", "The Simpsons Trading Card Game", "Dungeons & Dragons Expert Set", "Castle Ravenloft Board Game", "Hecatomb", "Star Wars Miniatures", "d20 Modern", "Dungeons & Dragons Basic Set", "RoboRally", "Xiaolin Showdown Trading Card Game", "Dungeons & Dragons Basic Game", "Netrunner", "Indiana Jones", "Gamma World", "d20 System", "BattleTech Collectible Card Game", "Neopets Trading Card Game", "Filthy Rich", "Chainmail", "Pokémon Trading Card Game", "Doomtown" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "Dungeons & Dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000101, "question": "list every game that was put out by the same company that released d&d.", "answer": [ "Cavaliers and Roundheads", "Dune", "Axis & Allies: D-Day", "Dungeons & Dragons Basic Game", "NFL Showdown", "Blood Wars", "Chainmail", "Pokémon Trading Card Game", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons (3rd Edition)", "Filthy Rich", "RoboRally", "Dungeons & Dragons (4th Edition)", "Dungeons & Dragons Basic Set", "Netrunner", "Dreamblade", "Advanced Dungeons & Dragons", "Pivot", "MLB Showdown", "d20 Modern", "Duel Masters Trading Card Game", "Dungeons & Dragons Miniatures Game", "Indiana Jones", "BattleTech Collectible Card Game", "Hecatomb", "The Simpsons Trading Card Game", "d20 System", "Codename: Kids Next Door Trading Card Game", "Star Wars Trading Card Game", "Castle Ravenloft Board Game", "NBA Showdown", "Xiaolin Showdown Trading Card Game", "Magic: The Gathering", "Doomtown", "Gamma World", "Axis & Allies: Europe", "Dungeons & Dragons Expert Set", "Neopets Trading Card Game", "Star Wars Miniatures" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "d&d", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000102, "question": "list every game that was put out by the same company that released dungeons and dragons.", "answer": [ "Hecatomb", "Dungeons & Dragons Basic Set", "RoboRally", "NFL Showdown", "Star Wars Miniatures", "Advanced Dungeons & Dragons", "Star Wars Trading Card Game", "The Simpsons Trading Card Game", "Cavaliers and Roundheads", "Dungeons & Dragons (3rd Edition)", "d20 System", "Indiana Jones", "Dune", "Neopets Trading Card Game", "Xiaolin Showdown Trading Card Game", "Duel Masters Trading Card Game", "Codename: Kids Next Door Trading Card Game", "Gamma World", "Dungeons & Dragons (4th Edition)", "Filthy Rich", "Dungeons & Dragons Expert Set", "d20 Modern", "Pokémon Trading Card Game", "Dreamblade", "MLB Showdown", "Pivot", "Axis & Allies: D-Day", "Dungeons & Dragons Basic Game", "Castle Ravenloft Board Game", "Chainmail", "Axis & Allies: Europe", "Netrunner", "NBA Showdown", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons Miniatures Game", "Magic: The Gathering", "Doomtown", "BattleTech Collectible Card Game", "Blood Wars" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000200, "question": "could you find out all the games published by the same compony as dungeons & dragons?", "answer": [ "Dungeons & Dragons Basic Set", "NFL Showdown", "Filthy Rich", "Codename: Kids Next Door Trading Card Game", "NBA Showdown", "Dungeons & Dragons Miniatures Game", "Chainmail", "MLB Showdown", "d20 Modern", "Magic: The Gathering", "RoboRally", "d20 System", "Indiana Jones", "Dungeons & Dragons (4th Edition)", "Dungeons & Dragons Expert Set", "BattleTech Collectible Card Game", "Neopets Trading Card Game", "Castle Ravenloft Board Game", "The Simpsons Trading Card Game", "Axis & Allies: D-Day", "Dune", "Gamma World", "Duel Masters Trading Card Game", "Cavaliers and Roundheads", "Star Wars Miniatures", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons (3rd Edition)", "Xiaolin Showdown Trading Card Game", "Axis & Allies: Europe", "Doomtown", "Hecatomb", "Advanced Dungeons & Dragons", "Dungeons & Dragons Basic Game", "Star Wars Trading Card Game", "Pivot", "Netrunner", "Blood Wars", "Pokémon Trading Card Game", "Dreamblade" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "Dungeons & Dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000201, "question": "could you find out all the games published by the same compony as d&d?", "answer": [ "Advanced Dungeons & Dragons", "Dungeons & Dragons (4th Edition)", "Castle Ravenloft Board Game", "Dungeons & Dragons Miniatures Game", "Dune", "Pivot", "Hecatomb", "NFL Showdown", "Cavaliers and Roundheads", "Xiaolin Showdown Trading Card Game", "Advanced Dungeons & Dragons 2nd Edition", "d20 System", "Pokémon Trading Card Game", "Blood Wars", "Axis & Allies: D-Day", "Star Wars Trading Card Game", "Duel Masters Trading Card Game", "Netrunner", "Dungeons & Dragons Expert Set", "Dungeons & Dragons Basic Set", "MLB Showdown", "Dungeons & Dragons (3rd Edition)", "d20 Modern", "Indiana Jones", "The Simpsons Trading Card Game", "Doomtown", "Star Wars Miniatures", "Dreamblade", "Filthy Rich", "Codename: Kids Next Door Trading Card Game", "Dungeons & Dragons Basic Game", "Neopets Trading Card Game", "Magic: The Gathering", "Gamma World", "NBA Showdown", "BattleTech Collectible Card Game", "Axis & Allies: Europe", "RoboRally", "Chainmail" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "d&d", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000202, "question": "could you find out all the games published by the same compony as dungeons and dragons?", "answer": [ "Indiana Jones", "Dungeons & Dragons Basic Set", "Dungeons & Dragons (4th Edition)", "Xiaolin Showdown Trading Card Game", "Netrunner", "The Simpsons Trading Card Game", "Dungeons & Dragons (3rd Edition)", "Dungeons & Dragons Basic Game", "Pokémon Trading Card Game", "Chainmail", "Blood Wars", "Codename: Kids Next Door Trading Card Game", "Pivot", "BattleTech Collectible Card Game", "Cavaliers and Roundheads", "NFL Showdown", "Axis & Allies: D-Day", "Hecatomb", "Dreamblade", "Star Wars Miniatures", "MLB Showdown", "Axis & Allies: Europe", "Advanced Dungeons & Dragons", "Star Wars Trading Card Game", "Filthy Rich", "Advanced Dungeons & Dragons 2nd Edition", "Castle Ravenloft Board Game", "Neopets Trading Card Game", "Duel Masters Trading Card Game", "Magic: The Gathering", "Dune", "d20 System", "NBA Showdown", "Doomtown", "Gamma World", "RoboRally", "d20 Modern", "Dungeons & Dragons Expert Set", "Dungeons & Dragons Miniatures Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000300, "question": "find me all the games published by the company that published dungeons & dragons.", "answer": [ "Hecatomb", "Magic: The Gathering", "Chainmail", "d20 System", "d20 Modern", "Dungeons & Dragons Basic Set", "Pivot", "Advanced Dungeons & Dragons 2nd Edition", "NFL Showdown", "Axis & Allies: D-Day", "Filthy Rich", "Dune", "Doomtown", "Dungeons & Dragons Basic Game", "MLB Showdown", "Axis & Allies: Europe", "Xiaolin Showdown Trading Card Game", "Neopets Trading Card Game", "Gamma World", "BattleTech Collectible Card Game", "NBA Showdown", "Dungeons & Dragons Miniatures Game", "Indiana Jones", "Cavaliers and Roundheads", "The Simpsons Trading Card Game", "Dungeons & Dragons (3rd Edition)", "RoboRally", "Star Wars Miniatures", "Dungeons & Dragons Expert Set", "Duel Masters Trading Card Game", "Codename: Kids Next Door Trading Card Game", "Dungeons & Dragons (4th Edition)", "Castle Ravenloft Board Game", "Pokémon Trading Card Game", "Advanced Dungeons & Dragons", "Dreamblade", "Blood Wars", "Netrunner", "Star Wars Trading Card Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "Dungeons & Dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000301, "question": "find me all the games published by the company that published d&d.", "answer": [ "Doomtown", "Star Wars Trading Card Game", "Dungeons & Dragons Basic Set", "Dune", "Dungeons & Dragons Expert Set", "Dungeons & Dragons Basic Game", "Advanced Dungeons & Dragons 2nd Edition", "Axis & Allies: D-Day", "d20 System", "Dreamblade", "Hecatomb", "Pivot", "Pokémon Trading Card Game", "NFL Showdown", "Castle Ravenloft Board Game", "Star Wars Miniatures", "The Simpsons Trading Card Game", "Chainmail", "d20 Modern", "Dungeons & Dragons (4th Edition)", "Netrunner", "Axis & Allies: Europe", "MLB Showdown", "Gamma World", "Dungeons & Dragons (3rd Edition)", "Dungeons & Dragons Miniatures Game", "Indiana Jones", "Magic: The Gathering", "RoboRally", "Cavaliers and Roundheads", "Xiaolin Showdown Trading Card Game", "Neopets Trading Card Game", "Blood Wars", "Filthy Rich", "Codename: Kids Next Door Trading Card Game", "Duel Masters Trading Card Game", "Advanced Dungeons & Dragons", "BattleTech Collectible Card Game", "NBA Showdown" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "d&d", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000302, "question": "find me all the games published by the company that published dungeons and dragons.", "answer": [ "d20 System", "The Simpsons Trading Card Game", "Dungeons & Dragons Basic Set", "RoboRally", "Filthy Rich", "Pokémon Trading Card Game", "Xiaolin Showdown Trading Card Game", "Star Wars Miniatures", "Doomtown", "Neopets Trading Card Game", "Advanced Dungeons & Dragons", "Dungeons & Dragons (3rd Edition)", "MLB Showdown", "Dungeons & Dragons (4th Edition)", "Gamma World", "Dungeons & Dragons Miniatures Game", "Hecatomb", "BattleTech Collectible Card Game", "Magic: The Gathering", "Axis & Allies: Europe", "Dreamblade", "Codename: Kids Next Door Trading Card Game", "Indiana Jones", "Chainmail", "Cavaliers and Roundheads", "Blood Wars", "Dungeons & Dragons Expert Set", "NBA Showdown", "Castle Ravenloft Board Game", "Netrunner", "Duel Masters Trading Card Game", "d20 Modern", "Axis & Allies: D-Day", "Dune", "Pivot", "Dungeons & Dragons Basic Game", "NFL Showdown", "Advanced Dungeons & Dragons 2nd Edition", "Star Wars Trading Card Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000400, "question": "what games share common publishers with dungeons & dragons?", "answer": [ "BattleTech Collectible Card Game", "Star Wars Trading Card Game", "Dreamblade", "Xiaolin Showdown Trading Card Game", "The Simpsons Trading Card Game", "Codename: Kids Next Door Trading Card Game", "Castle Ravenloft Board Game", "Duel Masters Trading Card Game", "MLB Showdown", "Dungeons & Dragons Basic Set", "Doomtown", "Pivot", "Dungeons & Dragons Basic Game", "Dungeons & Dragons (4th Edition)", "Gamma World", "Blood Wars", "Hecatomb", "RoboRally", "Cavaliers and Roundheads", "NFL Showdown", "Pokémon Trading Card Game", "NBA Showdown", "Dungeons & Dragons (3rd Edition)", "Dune", "Axis & Allies: Europe", "d20 Modern", "d20 System", "Dungeons & Dragons Expert Set", "Magic: The Gathering", "Axis & Allies: D-Day", "Filthy Rich", "Indiana Jones", "Advanced Dungeons & Dragons", "Star Wars Miniatures", "Neopets Trading Card Game", "Netrunner", "Chainmail", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons Miniatures Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "Dungeons & Dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000401, "question": "what games share common publishers with d&d?", "answer": [ "Chainmail", "Indiana Jones", "Dreamblade", "Star Wars Miniatures", "MLB Showdown", "Advanced Dungeons & Dragons 2nd Edition", "Dune", "Advanced Dungeons & Dragons", "Filthy Rich", "Xiaolin Showdown Trading Card Game", "Magic: The Gathering", "RoboRally", "Axis & Allies: D-Day", "Doomtown", "Hecatomb", "Neopets Trading Card Game", "Dungeons & Dragons (3rd Edition)", "Netrunner", "Pokémon Trading Card Game", "Castle Ravenloft Board Game", "d20 Modern", "Pivot", "Dungeons & Dragons Miniatures Game", "Blood Wars", "Dungeons & Dragons Expert Set", "NBA Showdown", "BattleTech Collectible Card Game", "Gamma World", "NFL Showdown", "Star Wars Trading Card Game", "d20 System", "Codename: Kids Next Door Trading Card Game", "Dungeons & Dragons Basic Game", "Dungeons & Dragons (4th Edition)", "Axis & Allies: Europe", "Duel Masters Trading Card Game", "Dungeons & Dragons Basic Set", "Cavaliers and Roundheads", "The Simpsons Trading Card Game" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "d&d", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000402, "question": "what games share common publishers with dungeons and dragons?", "answer": [ "MLB Showdown", "Star Wars Trading Card Game", "Dungeons & Dragons Miniatures Game", "Doomtown", "Hecatomb", "Pivot", "Indiana Jones", "Dungeons & Dragons (3rd Edition)", "NFL Showdown", "d20 System", "Dungeons & Dragons Expert Set", "Advanced Dungeons & Dragons", "Gamma World", "Xiaolin Showdown Trading Card Game", "NBA Showdown", "Netrunner", "Castle Ravenloft Board Game", "Axis & Allies: Europe", "Filthy Rich", "The Simpsons Trading Card Game", "BattleTech Collectible Card Game", "Dungeons & Dragons (4th Edition)", "d20 Modern", "Axis & Allies: D-Day", "RoboRally", "Duel Masters Trading Card Game", "Cavaliers and Roundheads", "Dreamblade", "Pokémon Trading Card Game", "Star Wars Miniatures", "Magic: The Gathering", "Chainmail", "Codename: Kids Next Door Trading Card Game", "Neopets Trading Card Game", "Dune", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons Basic Game", "Dungeons & Dragons Basic Set", "Blood Wars" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 226000500, "question": "what other games did the company that made dungeons & dragons make?", "answer": [ "Dune", "Gamma World", "Star Wars Trading Card Game", "RoboRally", "Dungeons & Dragons Miniatures Game", "d20 System", "Duel Masters Trading Card Game", "Dungeons & Dragons (4th Edition)", "Star Wars Miniatures", "Dreamblade", "Advanced Dungeons & Dragons 2nd Edition", "d20 Modern", "Dungeons & Dragons Expert Set", "Blood Wars", "The Simpsons Trading Card Game", "Magic: The Gathering", "MLB Showdown", "Dungeons & Dragons Basic Game", "BattleTech Collectible Card Game", 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games did the company that made dungeons and dragons make?", "answer": [ "Dungeons & Dragons Expert Set", "Dune", "RoboRally", "Doomtown", "Dungeons & Dragons Miniatures Game", "Chainmail", "Neopets Trading Card Game", "Dreamblade", "Codename: Kids Next Door Trading Card Game", "Advanced Dungeons & Dragons", "Castle Ravenloft Board Game", "NFL Showdown", "Star Wars Miniatures", "Axis & Allies: Europe", "Netrunner", "Indiana Jones", "Hecatomb", "Magic: The Gathering", "Advanced Dungeons & Dragons 2nd Edition", "Dungeons & Dragons Basic Set", "Blood Wars", "Gamma World", "Dungeons & Dragons (4th Edition)", "The Simpsons Trading Card Game", "d20 System", "BattleTech Collectible Card Game", "d20 Modern", "Duel Masters Trading Card Game", "Dungeons & Dragons (3rd Edition)", "Dungeons & Dragons Basic Game", "MLB Showdown", "Star Wars Trading Card Game", "Axis & Allies: D-Day", "Cavaliers and Roundheads", "Filthy Rich", "Pivot", "Pokémon Trading Card Game", "Xiaolin Showdown Trading Card Game", "NBA Showdown" ], "function": "none", "commonness": -22.65814471208033, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "games.game", "class": "games.game", "friendly_name": "Game", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "games.game_publisher", "class": "games.game_publisher", "friendly_name": "Game publisher", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.dungeons_dragons", "class": "games.game", "friendly_name": "dungeons and dragons", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "games.game.publisher", "friendly_name": "Publisher" }, { "start": 1, "end": 2, "relation": "games.game_publisher.games_published", "friendly_name": "Games published" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :games.game .\n ?x1 :type.object.type :games.game_publisher\n VALUES ?x2 { :m.026q9 }\n ?x0 :games.game.publisher ?x1 .\n ?x1 :games.game_publisher.games_published ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000000, "question": "who are the sponsors of major league baseball", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "Major League Baseball", "question_node": 0, "function": "none" } ], 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"function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "mlb", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000002, "question": "who are the sponsors of major league", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "major league", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000100, "question": "what are major league baseball's sponsors?", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "Major League Baseball", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000101, "question": "what are mlb's sponsors?", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "mlb", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000102, "question": "what are major league's sponsors?", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "major league", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000200, "question": "give me the sponsor list of major league baseball.", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "Major League Baseball", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000201, "question": "give me the sponsor list of mlb.", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": "business.sponsored_recipient", "friendly_name": "mlb", "question_node": 0, "function": "none" } ], "edges": [ { "start": 0, "end": 1, "relation": "business.sponsor.sponsorship", "friendly_name": "Sponsorship" }, { "start": 1, "end": 2, "relation": "business.sponsorship.sponsored_recipient", "friendly_name": "Sponsored Recipient" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :business.sponsor .\n ?x1 :type.object.type :business.sponsorship\n VALUES ?x2 { :m.09p14 }\n ?x0 :business.sponsor.sponsorship ?x1 .\n ?x1 :business.sponsorship.sponsored_recipient ?x2\n FILTER ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x1 != ?x2 ) )\n }\n }\n" }, { "qid": 227000202, "question": "give me the sponsor list of major league.", "answer": [ "Fujifilm" ], "function": "none", "commonness": -18.06442429580015, "num_node": 3, "num_edge": 2, "graph_query": { "nodes": [ { "nid": 0, "node_type": "class", "id": "business.sponsor", "class": "business.sponsor", "friendly_name": "Sponsor", "question_node": 1, "function": "none" }, { "nid": 1, "node_type": "class", "id": "business.sponsorship", "class": "business.sponsorship", "friendly_name": "Sponsorship", "question_node": 0, "function": "none" }, { "nid": 2, "node_type": "entity", "id": "en.major_league_baseball", "class": 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Factor" } ] }, "sparql_query": "PREFIX : \nPREFIX rdfs: \nPREFIX rdf: \n\nSELECT (?x0 AS ?value)\nWHERE\n { SELECT DISTINCT ?x0\n WHERE\n { ?x0 :type.object.type :base.pethealth.symptom\n VALUES ?x1 { :m.06_1k9 }\n ?x2 :type.object.type :base.pethealth.pet_disease_or_medical_condition\n VALUES ?x3 { :m.01hbgs }\n ?x1 :base.pethealth.pet_disease_or_medical_condition.symptoms ?x0 .\n ?x2 :base.pethealth.pet_disease_or_medical_condition.symptoms ?x0 .\n ?x3 :base.pethealth.pet_disease_risk_factor.pet_diseases_with_this_risk_factor ?x2\n FILTER ( ( ( ( ( ( ?x0 != ?x1 ) && ( ?x0 != ?x2 ) ) && ( ?x0 != ?x3 ) ) && ( ?x1 != ?x2 ) ) && ( ?x1 != ?x3 ) ) && ( ?x2 != ?x3 ) )\n }\n }\n" }, { "qid": 246000202, "question": "what are the characteristics of fip and old age diseases?", "answer": [ "Fatigue", "Weight loss", "Fever", "Anemia", "Anorexia", "Diarrhea" ], "function": "none", "commonness": -39.87995845215022, "num_node": 4, "num_edge": 3, "graph_query": { "nodes": [ { "nid": 0, "node_type": 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