triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 17 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.33k | query stringlengths 86 205 | entity_a stringlengths 4 53 | entity_b stringlengths 4 66 | rel_b stringlengths 5 36 | index int64 0 921 | prompt stringlengths 3.54k 3.72k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | all_response_tokens listlengths 1 1 | all_reasoning_tokens listlengths 1 1 | raw_path_prediction listlengths 1 1 | source_path listlengths 3 3 | parsed_paths stringlengths 4 12.2k | reasoning_paths listlengths 1 1 | reasoning_0 stringclasses 2
values | paths_0 stringlengths 2 12.2k | factuality_scores_0 listlengths 1 50 | raw_responses_factuality_0 listlengths 1 50 | parsed_scores_factuality_0 listlengths 1 50 | raw_salience_scores_0 listlengths 1 50 | min_salience_scores_0 listlengths 1 50 | salience_raw_responses_0 listlengths 1 50 | validity_per_path_0 listlengths 1 50 | validity_reasons_0 listlengths 1 50 | avg_path_length_0 float64 0 16.3 | num_paths_0 float64 0 50 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | 0 | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | [
"<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Morton Gould\",\n \"genre\",\n \"Classical music\"\n ],\n [\n \"Classical music\",\n \"genre of\",\n \"Benny Carter\"\n ],\n [\n \"Benny Carter\",\n \"discography\",\n \"Benny Carter discography\"\n ... | [
"Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | [
1724
] | [
1724
] | [
"<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Morton Gould\",\n \"genre\",\n \"Classical music\"\n ],\n [\n \"Classical music\",\n \"genre of\",\n \"Benny Carter\"\n ],\n [\n \"Benny Carter\",\n \"discography\",\n \"Benny Carter discography\"\n ... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "genre", "classical music"], ["classical music", "genre of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "president of", "ascap"], ["ascap", "member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould",... | [
"<think>\n\n"
] | "<think>\n\n" | [[["morton gould", "genre", "classical music"], ["classical music", "genre of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "president of", "ascap"], ["ascap", "member", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", ... | [
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] | 3.666667 | 15 |
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | 2 | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | [
"<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"David Koechner\",\n \"cast member of\",\n \"College\"\n ],\n [\n \"College\",\n \"cast member\",\n \"Drake Bell\"\n ],\n [\n \"Drake Bell\",\n \"place of birth\",\n \"Newport Beach\"\n ]\n ],\n \... | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | [
9182
] | [
9182
] | [
"<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"David Koechner\",\n \"cast member of\",\n \"College\"\n ],\n [\n \"College\",\n \"cast member\",\n \"Drake Bell\"\n ],\n [\n \"Drake Bell\",\n \"place of birth\",\n \"Newport Beach\"\n ]\n ],\n \... | [
[
"Twin Peaks",
"cast member",
"David Koechner"
],
[
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
[
"Rodney Rowland",
"place of birth",
"Newport Beach"
]
] | [[[["david koechner", "cast member of", "college"], ["college", "cast member", "drake bell"], ["drake bell", "place of birth", "newport beach"]], [["david koechner", "cast member of", "yours, mine & ours"], ["yours, mine & ours", "cast member", "drake bell"], ["drake bell", "place of birth", "newport beach"]], [["david... | [
"<think>\n\n"
] | "<think>\n\n" | [[["david koechner", "cast member of", "college"], ["college", "cast member", "drake bell"], ["drake bell", "place of birth", "newport beach"]], [["david koechner", "cast member of", "yours, mine & ours"], ["yours, mine & ours", "cast member", "drake bell"], ["drake bell", "place of birth", "newport beach"]], [["david ... | [
0,
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"{\n \"explanation\": \"The first triple states that David Koechner was a cast member of the movie 'College'. David Koechner is a real actor, and 'College' is a 2008 comedy film. David Koechner did appear in 'College', so this triple is not hallucinated. The second triple claims that 'College' had Drake Bell as a ... | [
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[
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... | [
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[
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[
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"[\n {\n \"explanation\": \"For the triple ('david koechner', 'cast member of', 'college'):\\nClass A: All subjects x such that (x, 'cast member of', 'college') is true. This is the set of all cast members of the TV show 'College'. A typical TV show cast might have around 10-30 members, so estimate about 20.\\n... | [
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1
] | [
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"",
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"",
"",
""
] | 7.125 | 8 |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substa(...TRUNCATED) | CD2AP | reverse strand | strand orientation | 3 | "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP gene\"],\n(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | [
1067
] | [
1067
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP gene\"],\n(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"located on\", \"chromosome 6 (hu(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"located on\", \"chromosome 6 (hum(...TRUNCATED) | [
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1,
1,
1,
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1,
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1,
1,
1,
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] | ["{\n \"explanation\": \"The first triple states that 'cd2ap' is encoded by the 'cd2ap gene', which(...TRUNCATED) | [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.(...TRUNCATED) | [[5,2,2,1],[3,5,1],[4,5,1],[4,4,1],[4,5,1],[3,4,5,1],[4,4,1],[4,5,1],[3,5,2],[4,4,5,1],[3,5,1],[4,5,(...TRUNCATED) | [
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] | 3.2 | 15 |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"producer of\", \"The Farewell(...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [
4023
] | [
4023
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"producer of\", \"The Farewell(...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"producer of\", \"the farewell\"], [\"the farewell\", \"filming location\", \"ch(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"kun nong\", \"producer of\", \"the farewell\"], [\"the farewell\", \"filming location\", \"cha(...TRUNCATED) | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple involves 'kun nong' as the producer of 'The Farewell'. 'T(...TRUNCATED) | [[0.0,1.0,1.0],[0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0],[0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.(...TRUNCATED) | [[5,3,5],[5,3,3,5,1,2,5,5],[5,4,4,4,4,5,4],[4,5,4,4,4],[4,5,5,5,4,4,4,4],[4,4,4,5,5,4,4],[5,2,5,4,4,(...TRUNCATED) | [
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] | 16.266667 | 15 |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance (...TRUNCATED) | enfuvirtide | venlafaxine | significant drug interaction | 5 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"enfuvirtide\",\n \"drug class\(...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [
1969
] | [
1969
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"enfuvirtide\",\n \"drug class\(...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"drug class\", \"fusion inhibitor\"], [\"fusion inhibitor\", \"treats\", \"hi(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"enfuvirtide\", \"drug class\", \"fusion inhibitor\"], [\"fusion inhibitor\", \"treats\", \"hiv(...TRUNCATED) | [
1,
0,
1,
1,
0,
1,
1,
0,
1,
1,
1,
1,
1,
1,
0
] | ["{\n \"explanation\": \"The first triple states that enfuvirtide belongs to the drug class fusion (...TRUNCATED) | [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0,0.0],[1.0,1.0,1.0,(...TRUNCATED) | [[5,3,3,3],[5,4,4,4],[3,3,4],[3,3,4],[5,5,3,4,4],[2,2,4,4],[2,2,3,4],[4,4,5,4],[5,1,4],[2,4,4,4,4],[(...TRUNCATED) | [
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4,
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3
] | ["[\n {\n \"explanation\": \"For the triple ('enfuvirtide', 'drug class', 'fusion inhibitor'):\\(...TRUNCATED) | [
1,
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"",
"",
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"",
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"",
""
] | 4.066667 | 15 |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyż(...TRUNCATED) | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Nicolas Chopin\",\n \"spouse\"(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [
794
] | [
794
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Nicolas Chopin\",\n \"spouse\"(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"spouse\", \"justyna krzy\\u017canowska\"], [\"justyna krzy\\u017canowska\(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"nicolas chopin\", \"spouse\", \"justyna krzy\\u017canowska\"], [\"justyna krzy\\u017canowska\"(...TRUNCATED) | [
1,
0,
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0,
0,
1,
0
] | ["{\n \"explanation\": \"Both Nicolas Chopin and Justyna Krzyżanowska are real historical figures,(...TRUNCATED) | [
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"",
"",
"",
"",
""
] | 3 | 7 |
[
"Q16727447",
"P54",
"Q223522"
] | [
"Q5293277",
"P54",
"Q223522"
] | [
"Q5293277",
"P69",
"Q235034"
] | [
"Horace Belton",
"member of sports team",
"Kansas City Chiefs"
] | [
"Don Parrish",
"member of sports team",
"Kansas City Chiefs"
] | [
"Don Parrish",
"educated at",
"University of Pittsburgh"
] | Q223522__P54 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Horace Belton and someone who was educated at the University (...TRUNCATED) | Horace Belton | University of Pittsburgh | educated at | 13 | "Query: What are different ways of connecting Horace Belton and someone who was educated at the Univ(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Horace Belton\",\n \"member of(...TRUNCATED) | ["Query: What are different ways of connecting Horace Belton and someone who was educated at the Uni(...TRUNCATED) | [
1701
] | [
1701
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Horace Belton\",\n \"member of(...TRUNCATED) | [["Horace Belton","member of sports team","Kansas City Chiefs"],["Don Parrish","member of sports tea(...TRUNCATED) | "[[[[\"horace belton\", \"member of sports team\", \"kansas city chiefs\"], [\"kansas city chiefs\",(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"horace belton\", \"member of sports team\", \"kansas city chiefs\"], [\"kansas city chiefs\", (...TRUNCATED) | [
0,
1,
0,
0,
0,
0,
1,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple involves Horace Belton and the Kansas City Chiefs. Horace(...TRUNCATED) | [[1.0,0.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,0.0,1.0],[1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0],[1.(...TRUNCATED) | [[4,4,1],[2,5,1],[4,5,1,1,1],[2,4,4,2,4,4],[3,4,5,5,4],[3,4,3,5,2,1],[3,4,4,1],[1,5,1,1,1],[3,3,2,4,(...TRUNCATED) | [
4,
2,
1,
2,
3,
2,
3,
1,
2,
3
] | ["[\n {\n \"explanation\": \"For the triple ('horace belton', 'member of sports team', 'kansas c(...TRUNCATED) | [
1,
1,
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1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 5.6 | 10 |
[
"Q319392",
"P463",
"Q43267"
] | [
"Q2831",
"P463",
"Q43267"
] | [
"Q2831",
"P8693",
"Q74073658"
] | [
"Marlon Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"member of",
"The Jackson 5"
] | [
"Michael Jackson",
"fandom",
"Michael Jackson fandom"
] | Q43267__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and so(...TRUNCATED) | Marlon Jackson | Michael Jackson fandom | fandom | 15 | "Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family,(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Marlon Jackson\", \"sibling\", \"Michael Ja(...TRUNCATED) | ["Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family(...TRUNCATED) | [
967
] | [
967
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Marlon Jackson\", \"sibling\", \"Michael Ja(...TRUNCATED) | [["Marlon Jackson","member of","The Jackson 5"],["Michael Jackson","member of","The Jackson 5"],["Mi(...TRUNCATED) | "[[[[\"marlon jackson\", \"sibling\", \"michael jackson\"], [\"michael jackson\", \"fandom\", \"mich(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"marlon jackson\", \"sibling\", \"michael jackson\"], [\"michael jackson\", \"fandom\", \"micha(...TRUNCATED) | [
1,
1,
0,
0,
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
0
] | ["{\n \"explanation\": \"The first triple states that Marlon Jackson is a sibling of Michael Jackso(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[0.0,0.0,1.0],[0.0,0.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,(...TRUNCATED) | [[5,1],[5,5,5],[5,5,5],[5,5,5],[4,4,5],[5,4,5],[5,4,5],[4,4,5],[4,4,5],[1,1,5],[3,3,5],[4,5,1],[4,5,(...TRUNCATED) | [
5,
5,
5,
5,
4,
4,
4,
4,
4,
1,
3,
4,
4,
3,
5
] | ["[\n {\n \"explanation\": \"For the triple ('marlon jackson', 'sibling', 'michael jackson'): Cl(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3 | 15 |
[
"Q1257",
"P39",
"Q81066"
] | [
"Q1267",
"P39",
"Q81066"
] | [
"Q1267",
"P106",
"Q49757"
] | [
"Boutros Boutros-Ghali",
"position held",
"United Nations Secretary-General"
] | [
"Dag Hammarskjöld",
"position held",
"United Nations Secretary-General"
] | [
"Dag Hammarskjöld",
"occupation",
"poet"
] | Q81066__P39 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the Un(...TRUNCATED) | Boutros Boutros-Ghali | poet | occupation | 16 | "Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Boutros Boutros-Ghali\",\n \"p(...TRUNCATED) | ["Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General o(...TRUNCATED) | [
2614
] | [
2614
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Boutros Boutros-Ghali\",\n \"p(...TRUNCATED) | [["Boutros Boutros-Ghali","position held","United Nations Secretary-General"],["Dag Hammarskjöld","(...TRUNCATED) | "[[[[\"boutros boutros-ghali\", \"position held\", \"secretary-general of the united nations\"], [\"(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"boutros boutros-ghali\", \"position held\", \"secretary-general of the united nations\"], [\"s(...TRUNCATED) | [
0,
0,
1,
0,
1,
1,
0,
1,
0,
0,
1,
0,
1,
1,
0
] | ["{\n \"explanation\": \"The first triple is correct: Boutros Boutros-Ghali was indeed Secretary-Ge(...TRUNCATED) | [[1.0,1.0,1.0,0.0,1.0,0.0,1.0],[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0],[1.0,1.0,1.0,1.0,1.0],[(...TRUNCATED) | [[5,5,5,5,5,3],[1,4,5,5,5,5,5,4],[1,1,3,3,1],[5,5,1,4,5,5,5,1],[5,5,2,5,2],[5,1,1,4,1],[1,1,2,1],[5,(...TRUNCATED) | [
5,
1,
1,
1,
2,
1,
1,
1,
3,
2,
2,
3,
3,
1,
3
] | ["[\n {\n \"explanation\": \"For the triple ('boutros boutros-ghali', 'position held', 'secretar(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 5.6 | 15 |
[
"Q104776463",
"P58",
"Q107809789"
] | [
"Q104776463",
"P58",
"Q1904757"
] | [
"Q1904757",
"P106",
"Q33999"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Job Römer"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Nienke Römer"
] | [
"Nienke Römer",
"occupation",
"actor"
] | Q104776463__P58 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Job Römer, a notable figure, and someone who is an actor? | Job Römer | actor | occupation | 18 | "Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an ac(...TRUNCATED) | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Job Römer\", \"occupation\", \"actor\"]\n (...TRUNCATED) | ["Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an a(...TRUNCATED) | [
1051
] | [
1051
] | ["<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Job Römer\", \"occupation\", \"actor\"]\n (...TRUNCATED) | [["The Expedition of the Family Fox","screenwriter","Job Römer"],["The Expedition of the Family Fox(...TRUNCATED) | "[[[[\"job r\\u00f6mer\", \"occupation\", \"actor\"]], [[\"job r\\u00f6mer\", \"father\", \"peter r\(...TRUNCATED) | [
"<think>\n\n"
] | "<think>\n\n" | "[[[\"job r\\u00f6mer\", \"occupation\", \"actor\"]], [[\"job r\\u00f6mer\", \"father\", \"peter r\\(...TRUNCATED) | [
1,
1,
0,
1,
1,
1,
1,
0,
1,
1,
1,
1,
0,
0,
1,
1,
1
] | ["{\n \"explanation\": \"The subject 'job römer' appears to be a misspelling or incorrect form of (...TRUNCATED) | [[1.0],[1.0,1.0],[0.0,1.0],[1.0,1.0],[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[0.0,1.0,1.0],[1.0,1.0,1.(...TRUNCATED) | [[1],[5,1],[4,1],[5,1],[4,1],[5,4,1],[5,4,1],[5,4,1],[4,4,1],[5,4,1],[5,4,1],[5,5,1],[5,5,4,1],[5,4,(...TRUNCATED) | [
1,
5,
4,
5,
4,
4,
4,
4,
4,
4,
4,
5,
4,
4,
4,
4,
4
] | ["[\n {\n \"explanation\": \"For the triple ('job römer', 'occupation', 'actor'):\\nClass A (Su(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 2.764706 | 17 |
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