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 16 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.33k | query stringlengths 85 178 | entity_a stringlengths 6 25 | entity_b stringlengths 6 65 | rel_b stringlengths 6 24 | prompt stringlengths 3.54k 3.7k | index int64 260 279 | raw_responses stringlengths 1.18k 4.7k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q123026",
"P166",
"Q38104"
] | [
"Q173028",
"P166",
"Q38104"
] | [
"Q173028",
"P172",
"Q7325"
] | [
"Charles Édouard Guillaume",
"award received",
"Nobel Prize in Physics"
] | [
"Emilio G. Segrè",
"award received",
"Nobel Prize in Physics"
] | [
"Emilio G. Segrè",
"ethnic group",
"Jewish people"
] | 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 Charles Édouard Guillaume, the Swiss physicist, and someone who is part of the Jewish ethnic group? | Charles Édouard Guillaume | Jewish people | ethnic group | Query: What are different ways of connecting Charles Édouard Guillaume, the Swiss physicist, and someone who is part of the Jewish ethnic group?
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) for... | 260 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Charles \u00c9douard Guillaume\",\n \"won award\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Albert Einstein\",\n \"won award\",\n \"Nobel Prize in Physics\"\n ],\n [\n \"Albert Einstein\",\n \"ethnic group\",\n ... |
[
"Q9361596",
"P2175",
"Q41861"
] | [
"Q1041804",
"P2175",
"Q41861"
] | [
"Q1041804",
"P2868",
"Q288280"
] | [
"trimethaphan",
"medical condition treated",
"arterial hypertension"
] | [
"imidapril",
"medical condition treated",
"arterial hypertension"
] | [
"imidapril",
"subject has role",
"ACE inhibitor"
] | Q41861__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 trimethaphan, a chemical compound, and a substance that has a role as an ACE inhibitor? | trimethaphan | ACE inhibitor | subject has role | Query: What are different ways of connecting trimethaphan, a chemical compound, and a substance that has a role as an ACE inhibitor?
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... | 261 | {"final_response": "<answer>\n{\n \"1\": [\n [\"trimethaphan\", \"treats\", \"hypertension\"],\n [\"hypertension\", \"treated by\", \"captopril\"],\n [\"captopril\", \"subject has role\", \"ACE inhibitor\"]\n ],\n \"2\": [\n [\"trimethaphan\", \"treats\", \"hypertensive emergency\"],\n [\"hypertensive... |
[
"Q19391546",
"P40",
"Q1470"
] | [
"Q2590288",
"P40",
"Q1470"
] | [
"Q2590288",
"P22",
"Q96242404"
] | [
"Sara Adriana Gleichman",
"child",
"M. C. Escher"
] | [
"George Arnold Escher",
"child",
"M. C. Escher"
] | [
"George Arnold Escher",
"father",
"Berend George Escher"
] | Q1470__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 Sara Adriana Gleichman and someone who is the father of Berend George Escher? | Sara Adriana Gleichman | Berend George Escher | father | Query: What are different ways of connecting Sara Adriana Gleichman and someone who is the father of Berend George Escher?
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 chai... | 262 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Sara Adriana Gleichman\", \"spouse\", \"George Arnold Escher\"],\n [\"George Arnold Escher\", \"father\", \"Berend George Escher\"]\n ],\n \"2\": [\n [\"Sara Adriana Gleichman\", \"mother\", \"M. C. Escher\"],\n [\"M. C. Escher\", \"child of\", \"George Arn... |
[
"Q85865549",
"P40",
"Q853"
] | [
"Q777997",
"P40",
"Q853"
] | [
"Q777997",
"P166",
"Q695106"
] | [
"Maria Tarkowska",
"child",
"Andrei Tarkovsky"
] | [
"Arseny Tarkovsky",
"child",
"Andrei Tarkovsky"
] | [
"Arseny Tarkovsky",
"award received",
"Order of the Red Star"
] | Q853__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 Maria Tarkowska and someone who received the Order of the Red Star? | Maria Tarkowska | Order of the Red Star | award received | Query: What are different ways of connecting Maria Tarkowska and someone who received the Order of the Red Star?
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 beg... | 263 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Maria Tarkowska\", \"relative of\", \"Arseny Tarkovsky\"],\n [\"Arseny Tarkovsky\", \"award received\", \"Order of the Red Star\"]\n ],\n \"2\": [\n [\"Maria Tarkowska\", \"relative of\", \"Andrei Tarkovsky\"],\n [\"Andrei Tarkovsky\", \"directed\", \"Andre... |
[
"Q814065",
"P463",
"Q396"
] | [
"Q175907",
"P463",
"Q396"
] | [
"Q175907",
"P69",
"Q7592866"
] | [
"Larry Mullen Jr.",
"member of",
"U2"
] | [
"Adam Clayton",
"member of",
"U2"
] | [
"Adam Clayton",
"educated at",
"St Columba's College, Dublin"
] | Q396__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 Larry Mullen Jr., the drummer of U2, and someone who was educated at St Columba's College in Dublin? | Larry Mullen Jr. | St Columba's College, Dublin | educated at | Query: What are different ways of connecting Larry Mullen Jr., the drummer of U2, and someone who was educated at St Columba's College in Dublin?
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) fo... | 264 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Larry Mullen Jr.\",\n \"bandmate of\",\n \"Adam Clayton\"\n ],\n [\n \"Adam Clayton\",\n \"educated at\",\n \"St Columba's College, Dublin\"\n ]\n ],\n \"2\": [\n [\n \"Larry Mullen Jr.\",\n \"member of\",\n ... |
[
"Q14950975",
"P54",
"Q223522"
] | [
"Q82492",
"P54",
"Q223522"
] | [
"Q82492",
"P106",
"Q17516936"
] | [
"Andy Mulumba",
"member of sports team",
"Kansas City Chiefs"
] | [
"Jared Allen",
"member of sports team",
"Kansas City Chiefs"
] | [
"Jared Allen",
"occupation",
"curler"
] | 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 Andy Mulumba, a professional athlete, and someone who is known for their occupation as a curler? | Andy Mulumba | curler | occupation | Query: What are different ways of connecting Andy Mulumba, a professional athlete, and someone who is known for their occupation as a curler?
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) formin... | 265 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Andy Mulumba\",\n \"played for\",\n \"Green Bay Packers\"\n ],\n [\n \"Green Bay Packers\",\n \"located in\",\n \"Green Bay, Wisconsin\"\n ],\n [\n \"Nina Roth\",\n \"born in\",\n \"Green Bay, Wisconsin\"\n ... |
[
"Q315338",
"P39",
"Q192711"
] | [
"Q1058",
"P39",
"Q192711"
] | [
"Q1058",
"P793",
"Q16354677"
] | [
"Vishwanath Pratap Singh",
"position held",
"Prime Minister of India"
] | [
"Narendra Modi",
"position held",
"Prime Minister of India"
] | [
"Narendra Modi",
"significant event",
"Bharatiya Janata Party campaign for Indian general election, 2014"
] | Q192711__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 Vishwanath Pratap Singh and someone for whom the BJP campaign for the 2014 Indian general election was a significant event? | Vishwanath Pratap Singh | Bharatiya Janata Party campaign for Indian general election, 2014 | significant event | Query: What are different ways of connecting Vishwanath Pratap Singh and someone for whom the BJP campaign for the 2014 Indian general election was a significant event?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | 266 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Vishwanath Pratap Singh\", \"office held\", \"Prime Minister of India\"],\n [\"Narendra Modi\", \"office held\", \"Prime Minister of India\"],\n [\"Narendra Modi\", \"significant event\", \"Bharatiya Janata Party campaign for Indian general election, 2014\"]\n ... |
[
"Q537520",
"P166",
"Q17144"
] | [
"Q744108",
"P166",
"Q17144"
] | [
"Q744108",
"P39",
"Q110488618"
] | [
"James E. Webb",
"award received",
"Presidential Medal of Freedom"
] | [
"Joseph Bernardin",
"award received",
"Presidential Medal of Freedom"
] | [
"Joseph Bernardin",
"position held",
"Roman Catholic archbishop of Cincinnati"
] | Q17144__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 James E. Webb, an influential figure in space exploration, and someone who has held the position of Roman Catholic archbishop of Cincinnati? | James E. Webb | Roman Catholic archbishop of Cincinnati | position held | Query: What are different ways of connecting James E. Webb, an influential figure in space exploration, and someone who has held the position of Roman Catholic archbishop of Cincinnati?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factu... | 267 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"James E. Webb\",\n \"received award\",\n \"Presidential Medal of Freedom\"\n ],\n [\n \"Joseph Louis Bernardin\",\n \"received award\",\n \"Presidential Medal of Freedom\"\n ],\n [\n \"Joseph Louis Bernardin\",\n ... |
[
"Q104898827",
"P162",
"Q112512749"
] | [
"Q104898827",
"P162",
"Q95094049"
] | [
"Q95094049",
"P19",
"Q146351"
] | [
"Shadowplay",
"producer",
"Jan Bradáč"
] | [
"Shadowplay",
"producer",
"Matěj Chlupáček"
] | [
"Matěj Chlupáček",
"place of birth",
"Liberec"
] | Q104898827__P162 | 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 Jan Bradáč and someone who was born in Liberec? | Jan Bradáč | Liberec | place of birth | Query: What are different ways of connecting Jan Bradáč and someone who was born in Liberec?
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 ... | 268 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jan Brad\u00e1\u010d\", \"CEO of\", \"Falcon a.s.\"],\n [\"Falcon a.s.\", \"distributed\", \"Kuky se vrac\u00ed\"],\n [\"Kuky se vrac\u00ed\", \"cast member\", \"Pavel Li\u0161ka\"],\n [\"Pavel Li\u0161ka\", \"place of birth\", \"Liberec\"]\n ],\n \"2\": [\... |
[
"Q18052537",
"P2293",
"Q11081"
] | [
"Q5009814",
"P2293",
"Q11081"
] | [
"Q5009814",
"P2548",
"Q22809680"
] | [
"ZNF320",
"genetic association",
"Alzheimer's disease"
] | [
"CD33",
"genetic association",
"Alzheimer's disease"
] | [
"CD33",
"strand orientation",
"forward 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 ZNF320, a gene, and a substance that has a specific strand orientation related to CD33? | ZNF320 | forward strand | strand orientation | Query: What are different ways of connecting ZNF320, a gene, and a substance that has a specific strand orientation related to CD33?
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... | 269 | {"final_response": "<answer>\n{\n \"1\": [\n [\"ZNF320\", \"located on\", \"Chromosome 19\"],\n [\"Chromosome 19\", \"contains gene\", \"CD33\"],\n [\"CD33\", \"strand orientation\", \"forward strand\"]\n ],\n \"2\": [\n [\"ZNF320\", \"co-expressed with\", \"CD33\"],\n [\"CD33\", \"strand orientation\... |
[
"Q5605857",
"P54",
"Q219714"
] | [
"Q6184336",
"P54",
"Q219714"
] | [
"Q6184336",
"P69",
"Q5038589"
] | [
"Greg LaFleur",
"member of sports team",
"Philadelphia Eagles"
] | [
"Jerry Robinson",
"member of sports team",
"Philadelphia Eagles"
] | [
"Jerry Robinson",
"educated at",
"Cardinal Newman High School"
] | Q219714__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 Greg LaFleur, a notable figure, and someone who was educated at Cardinal Newman High School? | Greg LaFleur | Cardinal Newman High School | educated at | Query: What are different ways of connecting Greg LaFleur, a notable figure, and someone who was educated at Cardinal Newman High School?
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 ... | 270 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Greg LaFleur\", \"played for\", \"St. Louis Cardinals\"],\n [\"St. Louis Cardinals\", \"drafted\", \"Ottis Anderson\"],\n [\"Ottis Anderson\", \"played for\", \"New York Giants\"],\n [\"New York Giants\", \"employed\", \"John Carney\"],\n [\"John Carney\",... |
[
"Q3827088",
"P54",
"Q128109"
] | [
"Q275183",
"P54",
"Q128109"
] | [
"Q275183",
"P166",
"Q7865896"
] | [
"Lari Ketner",
"member of sports team",
"Chicago Bulls"
] | [
"Luol Deng",
"member of sports team",
"Chicago Bulls"
] | [
"Luol Deng",
"award received",
"USBWA National Freshman of the Year"
] | Q128109__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 Lari Ketner, a former basketball player, and someone who received the USBWA National Freshman of the Year award? | Lari Ketner | USBWA National Freshman of the Year | award received | Query: What are different ways of connecting Lari Ketner, a former basketball player, and someone who received the USBWA National Freshman of the Year award?
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... | 271 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Lari Ketner\",\n \"educated at\",\n \"Roman Catholic High School\"\n ],\n [\n \"Eddie Griffin\",\n \"educated at\",\n \"Roman Catholic High School\"\n ],\n [\n \"Eddie Griffin\",\n \"award received\",\n \"USB... |
[
"Q1851284",
"P463",
"Q27593"
] | [
"Q295948",
"P463",
"Q27593"
] | [
"Q295948",
"P6275",
"Q7120528"
] | [
"Russell Coleman",
"member of",
"AC/DC"
] | [
"Brian Johnson",
"member of",
"AC/DC"
] | [
"Brian Johnson",
"copyright representative",
"PRS for Music"
] | Q27593__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 Russell Coleman and someone who is a copyright representative for PRS for Music? | Russell Coleman | PRS for Music | copyright representative | Query: What are different ways of connecting Russell Coleman and someone who is a copyright representative for PRS for Music?
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 c... | 272 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Russell Coleman\",\n \"appointed by\",\n \"Donald Trump\"\n ],\n [\n \"Donald Trump\",\n \"hosted\",\n \"The Apprentice\"\n ],\n [\n \"The Apprentice\",\n \"featured\",\n \"Boy George\"\n ],\n [\n \... |
[
"Q102067365",
"P58",
"Q102067780"
] | [
"Q102067365",
"P58",
"Q3525156"
] | [
"Q3525156",
"P106",
"Q2526255"
] | [
"Retirement Home",
"screenwriter",
"Catherine Diament"
] | [
"Retirement Home",
"screenwriter",
"Thomas Gilou"
] | [
"Thomas Gilou",
"occupation",
"film director"
] | Q102067365__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 Catherine Diament, a notable figure in the film industry, and someone who is a film director? | Catherine Diament | film director | occupation | Query: What are different ways of connecting Catherine Diament, a notable figure in the film industry, and someone who is a film director?
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... | 273 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Catherine Diament\", \"screenwriter for\", \"The MatchMaker (1997 film)\"],\n [\"The MatchMaker (1997 film)\", \"directed by\", \"Mark Joffe\"],\n [\"Mark Joffe\", \"occupation\", \"film director\"]\n ],\n \"2\": [\n [\"Catherine Diament\", \"screenwriter f... |
[
"Q189889",
"P162",
"Q888311"
] | [
"Q189889",
"P162",
"Q2261833"
] | [
"Q2261833",
"P106",
"Q47541952"
] | [
"Chicago",
"producer",
"Bob Weinstein"
] | [
"Chicago",
"producer",
"Martin Richards"
] | [
"Martin Richards",
"occupation",
"producer"
] | Q189889__P162 | 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 Bob Weinstein, a film producer, and someone who works as a producer in the film industry? | Bob Weinstein | producer | occupation | Query: What are different ways of connecting Bob Weinstein, a film producer, and someone who works as a producer in the film 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, relationship, tail) forming a con... | 274 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Bob Weinstein\", \"occupation\", \"producer\"]\n ],\n \"2\": [\n [\"Bob Weinstein\", \"sibling\", \"Harvey Weinstein\"],\n [\"Harvey Weinstein\", \"occupation\", \"producer\"]\n ],\n \"3\": [\n [\"Bob Weinstein\", \"founder\", \"Miramax\"],\n [\"Mirama... |
[
"Q244441",
"P166",
"Q935843"
] | [
"Q189758",
"P166",
"Q935843"
] | [
"Q189758",
"P25",
"Q4711637"
] | [
"Pete Seeger",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Marvin Gaye",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Marvin Gaye",
"mother",
"Alberta Gay"
] | 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 Pete Seeger, the American folk musician, and someone who is the mother of Marvin Gaye? | Pete Seeger | Alberta Gay | mother | Query: What are different ways of connecting Pete Seeger, the American folk musician, and someone who is the mother of Marvin Gaye?
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 contin... | 275 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Pete Seeger\", \"signed to\", \"Columbia Records\"],\n [\"Columbia Records\", \"signed\", \"Marvin Gaye\"],\n [\"Marvin Gaye\", \"mother\", \"Alberta Gay\"]\n ],\n \"2\": [\n [\"Pete Seeger\", \"inducted into\", \"Rock and Roll Hall of Fame\"],\n [\"Rock... |
[
"Q18033531",
"P2293",
"Q11081"
] | [
"Q18043155",
"P2293",
"Q11081"
] | [
"Q18043155",
"P5572",
"Q4973067"
] | [
"CACNA1G",
"genetic association",
"Alzheimer's disease"
] | [
"ARHGAP20",
"genetic association",
"Alzheimer's disease"
] | [
"ARHGAP20",
"expressed in",
"Brodmann area 23"
] | 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 CACNA1G, a gene associated with calcium channels, and a substance that is expressed in Brodmann area 23? | CACNA1G | Brodmann area 23 | expressed in | Query: What are different ways of connecting CACNA1G, a gene associated with calcium channels, and a substance that is expressed in Brodmann area 23?
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... | 276 | {"final_response": "<answer>\n{\n \"1\": [\n [\"CACNA1G\", \"expressed in\", \"Brodmann area 23\"]\n ],\n \"2\": [\n [\"CACNA1G\", \"interacts with\", \"CALM1\"],\n [\"CALM1\", \"expressed in\", \"Brodmann area 23\"]\n ],\n \"3\": [\n [\"CACNA1G\", \"paralog of\", \"CACNA1I\"],\n [\"CACNA1I\", \"exp... |
[
"Q147235",
"P161",
"Q979679"
] | [
"Q147235",
"P161",
"Q784009"
] | [
"Q784009",
"P7084",
"Q15361395"
] | [
"How I Met Your Mother",
"cast member",
"Janet Varney"
] | [
"How I Met Your Mother",
"cast member",
"Danny Strong"
] | [
"Danny Strong",
"related category",
"Category:Films with screenplays by Danny Strong"
] | Q147235__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 Janet Varney, an actress and voice artist, and someone who has worked on films that feature screenplays written by a notable screenwriter? | Janet Varney | Category:Films with screenplays by Danny Strong | related category | Query: What are different ways of connecting Janet Varney, an actress and voice artist, and someone who has worked on films that feature screenplays written by a notable screenwriter?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual... | 277 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Janet Varney\", \"acted in\", \"Catwoman (2004 film)\"],\n [\"Halle Berry\", \"acted in\", \"Catwoman (2004 film)\"],\n [\"Halle Berry\", \"acted in\", \"X-Men: Days of Future Past\"],\n [\"Jennifer Lawrence\", \"acted in\", \"X-Men: Days of Future P... |
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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:
260 - End Index:
280
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s260__e280__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("s260_e280_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 03:36:58 using the inference pipeline with the above configuration.
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