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 9 15 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.33k | query stringlengths 86 213 | entity_a stringlengths 5 22 | entity_b stringlengths 4 48 | rel_b stringlengths 6 28 | prompt stringlengths 3.54k 3.73k | index int64 0 19 | raw_responses stringlengths 1.14k 3.73k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"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 | 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... | 0 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"Morton Gould\",\n \"won\",\n \"Grammy Lifetime Achievement Award\"\n ],\n [\n \"Grammy Lifetime Achievement Award\",\n \"awarded to\",\n \"Benny Carter\"\n ],\n [\n \"Benny Carter\",\n \"dis... |
[
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__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 Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? | Max von Laue | chemist | occupation | Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t... | 1 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"colleague of\", \"Otto Hahn\"],\n [\"Otto Hahn\", \"occupation\", \"chemist\"]\n ],\n \"2\": [\n [\"Max von Laue\", \"director of\", \"Fritz Haber Institute\"],\n [\"Fritz Haber Institute\", \"named after\", \"Fritz ... |
[
"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 | 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... | 2 | {"final_response": "<answer>\n{\n \"1\": [\n [\"David Koechner\", \"acted in\", \"Yours, Mine & Ours\"],\n [\"Yours, Mine & Ours\", \"cast member\", \"Drake Bell\"],\n [\"Drake Bell\", \"place of birth\", \"Newport Beach\"]\n ],\n \"2\": [\n [\"David Koechner\", \"acted in\", \"Anchorman: The Legend of R... |
[
"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.
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 CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? | CD2AP | reverse strand | strand orientation | Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?
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)... | 3 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"CD2AP\", \"interacts with\", \"NPHS1\"],\n [\"NPHS1\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"CD2AP\", \"interacts with\", \"NPHS2\"],\n [\"NPHS2\", \"strand orientation\", \"reverse strand\"]\n ],\n \"3\":... |
[
"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.
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 Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?
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 continuous chain that begins with one entity... | 4 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Kun Nong\", \"instrument\", \"Guitar\"],\n [\"Mick Thomson\", \"instrument\", \"Guitar\"],\n [\"Mick Thomson\", \"place of birth\", \"Des Moines\"]\n ],\n \"2\": [\n [\"Kun Nong\", \"member of\", \"The Slants\"],\n [\"The Slants\",... |
[
"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.
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 enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? | enfuvirtide | venlafaxine | significant drug interaction | Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela... | 5 | {"final_response": "<think>\n\n</think>\n\n```json\n<answer>\n{\n \"1\": [\n [\"enfuvirtide\", \"developed by\", \"Hoffmann-La Roche\"],\n [\"Hoffmann-La Roche\", \"developed\", \"isocarboxazid\"],\n [\"isocarboxazid\", \"significant drug interaction\", \"venlafaxine\"]\n ],\n \"2\": [\n [\"enfuvirtide\"... |
[
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__P463 | 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 Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing? | Bela B | Anja Caspary | unmarried partner | Query: What are different ways of connecting Bela B, the German musician, and someone who is the unmarried partner of Hagen Liebing?
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 conti... | 6 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Bela B\", \"member of\", \"Die \u00c4rzte\"],\n [\"Die \u00c4rzte\", \"has member\", \"Hagen Liebing\"],\n [\"Hagen Liebing\", \"unmarried partner\", \"Anja Caspary\"]\n ],\n \"2\": [\n [\"Bela B\", \"bandmate of\", \"Hagen Liebing\"]... |
[
"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.
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 Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? | Nicolas Chopin | Jakub Krzyżanowski | father | Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?
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 continuous chain that be... | 7 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"spouse\", \"Justyna Krzy\u017canowska\"],\n [\"Justyna Krzy\u017canowska\", \"father\", \"Jakub Krzy\u017canowski\"]\n ],\n \"2\": [\n [\"Nicolas Chopin\", \"father of\", \"Fr\u00e9d\u00e9ric Chopin\"],\n [\"Fr\u00... |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__P40 | 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 George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States? | George H. W. Bush | First Lady of the United States | position held | Query: What are different ways of connecting George H. W. Bush, the 41st President of the United States, and someone who held the position of First Lady of the United States?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ... | 8 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\n \"George H. W. Bush\",\n \"spouse\",\n \"Barbara Bush\"\n ],\n [\n \"Barbara Bush\",\n \"position held\",\n \"First Lady of the United States\"\n ]\n ],\n \"2\": [\n [\n \"George H. W. Bush\",\n ... |
[
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__P2293 | 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 INTS7, a protein involved in various cellular processes, and a substance that is expressed in the gallbladder? | INTS7 | gallbladder | expressed in | Query: What are different ways of connecting INTS7, a protein involved in various cellular processes, and a substance that is expressed in the gallbladder?
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... | 9 | {"final_response": "<think>\n\n</think>\n\n<answer>\n{\n \"1\": [\n [\"INTS7\", \"expressed in\", \"gallbladder\"]\n ],\n \"2\": [\n [\"INTS7\", \"interacts with\", \"POLR2A\"],\n [\"POLR2A\", \"expressed in\", \"gallbladder\"]\n ],\n \"3\": [\n [\"INTS7\", \"part of\", \"Integrator complex\"],\n [\... |
[
"Q47703",
"P161",
"Q960676"
] | [
"Q47703",
"P161",
"Q786720"
] | [
"Q786720",
"P19",
"Q18419"
] | [
"The Godfather",
"cast member",
"Joe Spinell"
] | [
"The Godfather",
"cast member",
"Richard Bright"
] | [
"Richard Bright",
"place of birth",
"Brooklyn"
] | Q47703__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 Joe Spinell, the American actor, and someone who was born in Brooklyn? | Joe Spinell | Brooklyn | place of birth | Query: What are different ways of connecting Joe Spinell, the American actor, and someone who was born in Brooklyn?
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 continuous chain that ... | 10 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Joe Spinell\", \"acted with\", \"Harvey Keitel\"],\n [\"Harvey Keitel\", \"place of birth\", \"Brooklyn\"]\n ],\n \"2\": [\n [\"Joe Spinell\", \"acted with\", \"Abe Vigoda\"],\n [\"Abe Vigoda\", \"place of birth\", \"Brooklyn\"]\n ],\n \"3\": [\n [\"Jo... |
[
"Q315199",
"P463",
"Q254138"
] | [
"Q3116290",
"P463",
"Q254138"
] | [
"Q3116290",
"P106",
"Q4351403"
] | [
"Mick Thomson",
"member of",
"Slipknot"
] | [
"Greg Welts",
"member of",
"Slipknot"
] | [
"Greg Welts",
"occupation",
"percussionist"
] | Q254138__P463 | 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 Mick Thomson, the guitarist known for his work in heavy metal, and someone who is a percussionist by occupation? | Mick Thomson | percussionist | occupation | Query: What are different ways of connecting Mick Thomson, the guitarist known for his work in heavy metal, and someone who is a percussionist by occupation?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | 11 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Mick Thomson\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", \"Shawn Crahan\"],\n [\"Shawn Crahan\", \"occupation\", \"percussionist\"]\n ],\n \"2\": [\n [\"Mick Thomson\", \"member of\", \"Slipknot\"],\n [\"Slipknot\", \"has member\", ... |
[
"Q21207926",
"P40",
"Q1463"
] | [
"Q2854731",
"P40",
"Q1463"
] | [
"Q2854731",
"P106",
"Q40348"
] | [
"Josefa Edralin Marcos",
"child",
"Ferdinand Marcos"
] | [
"Mariano Marcos",
"child",
"Ferdinand Marcos"
] | [
"Mariano Marcos",
"occupation",
"lawyer"
] | Q1463__P40 | 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 Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer? | Josefa Edralin Marcos | lawyer | occupation | Query: What are different ways of connecting Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer?
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... | 12 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Josefa Edralin Marcos\",\n \"mother of\",\n \"Ferdinand Marcos\"\n ],\n [\n \"Ferdinand Marcos\",\n \"occupation\",\n \"lawyer\"\n ]\n ],\n \"2\": [\n [\n \"Josefa Edralin Marcos\",\n \"spouse of\",\n \"Mar... |
[
"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.
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 Horace Belton and someone who was educated at the University of Pittsburgh? | Horace Belton | University of Pittsburgh | educated at | Query: What are different ways of connecting Horace Belton and someone who was educated at the University of Pittsburgh?
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 continuous chain ... | 13 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Horace Belton\",\n \"drafted by\",\n \"Kansas City Chiefs\"\n ],\n [\n \"Kansas City Chiefs\",\n \"drafted\",\n \"Jonathan Baldwin\"\n ],\n [\n \"Jonathan Baldwin\",\n \"educated at\",\n \"University of Pitts... |
[
"Q775231",
"P463",
"Q146027"
] | [
"Q2756349",
"P463",
"Q146027"
] | [
"Q2756349",
"P27",
"Q145"
] | [
"Niall Horan",
"member of",
"One Direction"
] | [
"Liam Pane",
"member of",
"One Direction"
] | [
"Liam Pane",
"country of citizenship",
"United Kingdom"
] | Q146027__P463 | 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 Niall Horan, the Irish singer, and someone who is a citizen of the United Kingdom? | Niall Horan | United Kingdom | country of citizenship | Query: What are different ways of connecting Niall Horan, the Irish singer, and someone who is a citizen of the United Kingdom?
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 continuous... | 14 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Niall Horan\", \"member of\", \"One Direction\"],\n [\"One Direction\", \"has member\", \"Harry Styles\"],\n [\"Harry Styles\", \"country of citizenship\", \"United Kingdom\"]\n ],\n \"2\": [\n [\"Niall Horan\", \"member of\", \"One Direction\"],\n [\"On... |
[
"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.
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 Marlon Jackson, a member of the famous Jackson family, and someone who has a dedicated fandom surrounding their work? | Marlon Jackson | Michael Jackson fandom | fandom | Query: What are different ways of connecting Marlon Jackson, a member of the famous Jackson family, and someone who has a dedicated fandom surrounding their work?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relat... | 15 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Marlon Jackson\", \"brother of\", \"Michael Jackson\"],\n [\"Michael Jackson\", \"fandom\", \"Michael Jackson fandom\"]\n ],\n \"2\": [\n [\"Marlon Jackson\", \"member of\", \"The Jackson 5\"],\n [\"The Jackson 5\", \"lead singer\", \"Michael Jackson\"],\n ... |
[
"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.
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 Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet? | Boutros Boutros-Ghali | poet | occupation | Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | 16 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\n \"Boutros Boutros-Ghali\",\n \"position held\",\n \"Secretary-General of the United Nations\"\n ],\n [\n \"Secretary-General of the United Nations\",\n \"position held by\",\n \"Dag Hammarskj\u00f6ld\"\n ],\n [\n ... |
[
"Q109463",
"P39",
"Q11699"
] | [
"Q10853588",
"P39",
"Q11699"
] | [
"Q10853588",
"P3602",
"Q18356713"
] | [
"Richard Mentor Johnson",
"position held",
"Vice President of the United States"
] | [
"Kamala Harris",
"position held",
"Vice President of the United States"
] | [
"Kamala Harris",
"candidacy in election",
"2016 United States Senate election in California"
] | Q11699__P39 | 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 Richard Mentor Johnson, a notable political figure, and someone who had a candidacy in the 2016 United States Senate election in California? | Richard Mentor Johnson | 2016 United States Senate election in California | candidacy in election | Query: What are different ways of connecting Richard Mentor Johnson, a notable political figure, and someone who had a candidacy in the 2016 United States Senate election in California?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | 17 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Richard Mentor Johnson\", \"held position\", \"Vice President of the United States\"],\n [\"Kamala Harris\", \"held position\", \"Vice President of the United States\"],\n [\"Kamala Harris\", \"candidacy in election\", \"2016 United States Senate election in Cal... |
[
"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.
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 Job Römer, a notable figure, and someone who is an actor? | Job Römer | actor | occupation | Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an actor?
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 continuous chain that begins with o... | 18 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Job R\u00f6mer\", \"occupation\", \"actor\"]\n ],\n \"2\": [\n [\"Job R\u00f6mer\", \"relative\", \"Piet R\u00f6mer\"],\n [\"Piet R\u00f6mer\", \"occupation\", \"actor\"]\n ],\n \"3\": [\n [\"Job R\u00f6mer\", \"relative\", \"Thijs R\u00f6mer\"],\n [\"... |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
0 - End Index:
20
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s0__e20__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s0_e20_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:12:13 using the inference pipeline with the above configuration.
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