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 10 16 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.31k | query stringlengths 90 171 | entity_a stringlengths 6 29 | entity_b stringlengths 5 37 | rel_b stringlengths 4 22 | prompt stringlengths 3.56k 3.64k | index int64 420 439 | raw_responses stringlengths 1.14k 3.83k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1291701",
"P463",
"Q11895"
] | [
"Q11885",
"P463",
"Q11895"
] | [
"Q11885",
"P1303",
"Q17172850"
] | [
"Steven Adler",
"member of",
"Guns N' Roses"
] | [
"Axl Rose",
"member of",
"Guns N' Roses"
] | [
"Axl Rose",
"instrument",
"voice"
] | Q11895__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 Steven Adler, the drummer known for his work with Guns N' Roses, and someone who is recognized for their vocal abilities in the band? | Steven Adler | voice | instrument | Query: What are different ways of connecting Steven Adler, the drummer known for his work with Guns N' Roses, and someone who is recognized for their vocal abilities in the band?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | 420 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Steven Adler\", \"member of\", \"Guns N' Roses\"],\n [\"Guns N' Roses\", \"has member\", \"Axl Rose\"],\n [\"Axl Rose\", \"instrument\", \"voice\"]\n ],\n \"2\": [\n [\"Steven Adler\", \"bandmate of\", \"Axl Rose\"],\n [\"Axl Rose\", \"instrument\", \"vo... |
[
"Q104898827",
"P162",
"Q95468740"
] | [
"Q104898827",
"P162",
"Q115728320"
] | [
"Q115728320",
"P106",
"Q1049296"
] | [
"Shadowplay",
"producer",
"Vendula Bradáčová"
] | [
"Shadowplay",
"producer",
"Maja Hamplová"
] | [
"Maja Hamplová",
"occupation",
"casting director"
] | 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 Vendula Bradáčová and someone who works as a casting director? | Vendula Bradáčová | casting director | occupation | Query: What are different ways of connecting Vendula Bradáčová and someone who works as a casting 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 continuous chain that begins w... | 421 | {"final_response": "```json\n{\n \"1\": [\n [\"Vendula Brad\u00e1\u010dov\u00e1\", \"country of citizenship\", \"Czech Republic\"],\n [\"Czech Republic\", \"filming location of\", \"Casino Royale\"],\n [\"Casino Royale\", \"casting director\", \"Debbie McWilliams\"],\n [\"Debbie McWilliams\", \"occupation\... |
[
"Q229836",
"P40",
"Q1411"
] | [
"Q156778",
"P40",
"Q1411"
] | [
"Q156778",
"P5025",
"Q385338"
] | [
"Antonia Minor",
"child",
"Claudius"
] | [
"Nero Claudius Drusus",
"child",
"Claudius"
] | [
"Nero Claudius Drusus",
"gens",
"Claudia gens"
] | Q1411__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 Antonia Minor, a prominent figure in Roman history, and someone who is associated with the Claudia gens? | Antonia Minor | Claudia gens | gens | Query: What are different ways of connecting Antonia Minor, a prominent figure in Roman history, and someone who is associated with the Claudia gens?
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... | 422 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Antonia Minor\",\n \"spouse\",\n \"Nero Claudius Drusus\"\n ],\n [\n \"Nero Claudius Drusus\",\n \"gens\",\n \"Claudia gens\"\n ]\n ],\n \"2\": [\n [\n \"Antonia Minor\",\n \"mother of\",\n \"Claudius\"\n ... |
[
"Q101091534",
"P162",
"Q101090806"
] | [
"Q101091534",
"P162",
"Q101090684"
] | [
"Q101090684",
"P106",
"Q3387717"
] | [
"The Euphoria of Being",
"producer",
"Marcell Gerő"
] | [
"The Euphoria of Being",
"producer",
"Réka Szabó"
] | [
"Réka Szabó",
"occupation",
"theatrical director"
] | Q101091534__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 Marcell Gerő, a notable figure in the arts, and someone who works as a theatrical director? | Marcell Gerő | theatrical director | occupation | Query: What are different ways of connecting Marcell Gerő, a notable figure in the arts, and someone who works as a theatrical 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 c... | 423 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Marcell Ger\u0151\", \"educated at\", \"University of Theatre and Film Arts\"],\n [\"Korn\u00e9l Mundrucz\u00f3\", \"educated at\", \"University of Theatre and Film Arts\"],\n [\"Korn\u00e9l Mundrucz\u00f3\", \"occupation\", \"theatrical director\"]\n ],\n \"2... |
[
"Q725726",
"P54",
"Q188984"
] | [
"Q2094838",
"P54",
"Q188984"
] | [
"Q2094838",
"P1532",
"Q30"
] | [
"Sean Avery",
"member of sports team",
"New York Rangers"
] | [
"Ryan McDonagh",
"member of sports team",
"New York Rangers"
] | [
"Ryan McDonagh",
"country for sport",
"United States of America"
] | Q188984__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 Sean Avery, the former professional ice hockey player, and someone who represents the United States of America in their sport? | Sean Avery | United States of America | country for sport | Query: What are different ways of connecting Sean Avery, the former professional ice hockey player, and someone who represents the United States of America in their sport?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | 424 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Sean Avery\", \"teammate\", \"Chris Drury\"],\n [\"Chris Drury\", \"country for sport\", \"United States of America\"]\n ],\n \"2\": [\n [\"Sean Avery\", \"teammate\", \"Mike Modano\"],\n [\"Mike Modano\", \"country for sport\", \"United States of America\"... |
[
"Q83071",
"P161",
"Q16203452"
] | [
"Q83071",
"P161",
"Q8062292"
] | [
"Q8062292",
"P106",
"Q10800557"
] | [
"Downton Abbey",
"cast member",
"Stephen Critchlow"
] | [
"Downton Abbey",
"cast member",
"Yves Aubert"
] | [
"Yves Aubert",
"occupation",
"film actor"
] | Q83071__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 Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film actor? | Stephen Critchlow | film actor | occupation | Query: What are different ways of connecting Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film 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) for... | 425 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Stephen Critchlow\", \"cast member\", \"Skins\"],\n [\"Skins\", \"cast member\", \"Nicholas Hoult\"],\n [\"Nicholas Hoult\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Stephen Critchlow\", \"voice actor for\", \"Final Fantasy XIV\"],\n [\"Final... |
[
"Q18041364",
"P2293",
"Q126691"
] | [
"Q18035557",
"P2293",
"Q126691"
] | [
"Q18035557",
"P684",
"Q18301613"
] | [
"CDKAL1",
"genetic association",
"gestational diabetes"
] | [
"IGF2BP2",
"genetic association",
"gestational diabetes"
] | [
"IGF2BP2",
"ortholog",
"Igf2bp2"
] | Q126691__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 CDKAL1, a gene associated with diabetes, and a substance that is an ortholog of IGF2BP2? | CDKAL1 | Igf2bp2 | ortholog | Query: What are different ways of connecting CDKAL1, a gene associated with diabetes, and a substance that is an ortholog of IGF2BP2?
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 cont... | 426 | {"final_response": "<answer>\n{\n \"1\": [\n [\"CDKAL1\", \"associated with\", \"Type 2 diabetes\"],\n [\"Type 2 diabetes\", \"associated with\", \"IGF2BP2\"],\n [\"IGF2BP2\", \"ortholog\", \"Igf2bp2\"]\n ],\n \"2\": [\n [\"CDKAL1\", \"expressed in\", \"Pancreatic beta cell\"],\n [\"Pancreatic beta ce... |
[
"Q33524365",
"P463",
"Q18557"
] | [
"Q2706536",
"P463",
"Q18557"
] | [
"Q2706536",
"P26",
"Q3336630"
] | [
"Waltteri Väyrynen",
"member of",
"Opeth"
] | [
"Martin Axenrot",
"member of",
"Opeth"
] | [
"Martin Axenrot",
"spouse",
"Nathalie Lorichs"
] | Q18557__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 Waltteri Väyrynen, the Finnish drummer, and someone who is the spouse of Nathalie Lorichs? | Waltteri Väyrynen | Nathalie Lorichs | spouse | Query: What are different ways of connecting Waltteri Väyrynen, the Finnish drummer, and someone who is the spouse of Nathalie Lorichs?
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 co... | 427 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Waltteri V\u00e4yrynen\", \"member of\", \"Opeth\"],\n [\"Opeth\", \"former member\", \"Martin Axenrot\"],\n [\"Martin Axenrot\", \"spouse\", \"Nathalie Lorichs\"]\n ],\n \"2\": [\n [\"Waltteri V\u00e4yrynen\", \"member of\", \"Bloodbath\"],\n [\"Bloodba... |
[
"Q229413",
"P40",
"Q1409"
] | [
"Q191039",
"P40",
"Q1409"
] | [
"Q191039",
"P3716",
"Q98108963"
] | [
"Agrippina the Elder",
"child",
"Caligula"
] | [
"Germanicus",
"child",
"Caligula"
] | [
"Germanicus",
"social classification",
"patricius"
] | Q1409__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 Agrippina the Elder, a prominent figure in ancient Rome, and someone who is classified as a patrician? | Agrippina the Elder | patricius | social classification | Query: What are different ways of connecting Agrippina the Elder, a prominent figure in ancient Rome, and someone who is classified as a patrician?
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) ... | 428 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Agrippina the Elder\", \"social classification\", \"patricius\"]\n ],\n \"2\": [\n [\"Agrippina the Elder\", \"spouse\", \"Germanicus\"],\n [\"Germanicus\", \"social classification\", \"patricius\"]\n ],\n \"3\": [\n [\"Agrippina the Elder\", \"child\", \... |
[
"Q571032",
"P161",
"Q516690"
] | [
"Q571032",
"P161",
"Q3875987"
] | [
"Q3875987",
"P27",
"Q804"
] | [
"Django Unchained",
"cast member",
"Walton Goggins"
] | [
"Django Unchained",
"cast member",
"Nichole Galicia"
] | [
"Nichole Galicia",
"country of citizenship",
"Panama"
] | Q571032__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 Walton Goggins, the American actor, and someone who is a citizen of Panama? | Walton Goggins | Panama | country of citizenship | Query: What are different ways of connecting Walton Goggins, the American actor, and someone who is a citizen of Panama?
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 ... | 429 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Walton Goggins\", \"acted in\", \"Machete Kills\"],\n [\"Machete Kills\", \"directed by\", \"Robert Rodriguez\"],\n [\"Robert Rodriguez\", \"directed\", \"Once Upon a Time in Mexico\"],\n [\"Once Upon a Time in Mexico\", \"acted in\", \"Rub\u00e9n Blades\"],\... |
[
"Q1004567",
"P162",
"Q722890"
] | [
"Q1004567",
"P162",
"Q542003"
] | [
"Q542003",
"P19",
"Q151920"
] | [
"Bullseye!",
"producer",
"Michael Winner"
] | [
"Bullseye!",
"producer",
"Menahem Golan"
] | [
"Menahem Golan",
"place of birth",
"Tiberias"
] | Q1004567__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 Michael Winner, the British film director, and someone who was born in Tiberias? | Michael Winner | Tiberias | place of birth | Query: What are different ways of connecting Michael Winner, the British film director, and someone who was born in Tiberias?
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... | 430 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Michael Winner\", \"directed\", \"Death Wish II\"],\n [\"Death Wish II\", \"produced by\", \"Menahem Golan\"],\n [\"Menahem Golan\", \"place of birth\", \"Tiberias\"]\n ],\n \"2\": [\n [\"Michael Winner\", \"directed\", \"Death Wish 3\"],\n [\"Death Wish... |
[
"Q59267910",
"P161",
"Q47300912"
] | [
"Q241681",
"P161",
"Q47300912"
] | [
"Q47300912",
"P19",
"Q1144366"
] | [
"Rachel Redleaf",
"cast member",
"Once Upon a Time in Hollywood"
] | [
"Rebecca Gayheart",
"cast member",
"Once Upon a Time in Hollywood"
] | [
"Once Upon a Time in Hollywood",
"place of birth",
"Hazard"
] | Q47300912__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 "Once Upon a Time in Hollywood," the film, and someone who was born in a place associated with the film's title? | Once Upon a Time in Hollywood | Hazard | place of birth | Query: What are different ways of connecting "Once Upon a Time in Hollywood," the film, and someone who was born in a place associated with the film's title?
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... | 431 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Once Upon a Time in Hollywood\",\n \"cast member\",\n \"Rebecca Gayheart\"\n ],\n [\n \"Rebecca Gayheart\",\n \"place of birth\",\n \"Hazard\"\n ]\n ],\n \"2\": [\n [\n \"Once Upon a Time in Hollywood\",\n \"cast... |
[
"Q320065",
"P166",
"Q935843"
] | [
"Q162667",
"P166",
"Q935843"
] | [
"Q162667",
"P106",
"Q33999"
] | [
"Artie Shaw",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Glen Campbell",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Glen Campbell",
"occupation",
"actor"
] | 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 Artie Shaw, the famous clarinetist and bandleader, and someone who is known for their work as an actor? | Artie Shaw | actor | occupation | Query: What are different ways of connecting Artie Shaw, the famous clarinetist and bandleader, and someone who is known for their work as 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)... | 432 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Artie Shaw\",\n \"spouse\",\n \"Lana Turner\"\n ],\n [\n \"Lana Turner\",\n \"occupation\",\n \"actor\"\n ]\n ],\n \"2\": [\n [\n \"Artie Shaw\",\n \"spouse\",\n \"Ava Gardner\"\n ],\n [\n \"Ava ... |
[
"Q412236",
"P2175",
"Q12192"
] | [
"Q420595",
"P2175",
"Q12192"
] | [
"Q420595",
"P2868",
"Q804539"
] | [
"voriconazole",
"medical condition treated",
"pneumonia"
] | [
"tigecycline",
"medical condition treated",
"pneumonia"
] | [
"tigecycline",
"subject has role",
"bactericide"
] | Q12192__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 voriconazole, an antifungal medication, and a substance that has a role as a bactericide? | voriconazole | bactericide | subject has role | Query: What are different ways of connecting voriconazole, an antifungal medication, and a substance that has a role as a bactericide?
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... | 433 | {"final_response": "<answer>\n{\n \"1\": [\n [\"voriconazole\", \"interacts with\", \"rifampicin\"],\n [\"rifampicin\", \"subject has role\", \"bactericide\"]\n ],\n \"2\": [\n [\"voriconazole\", \"developed by\", \"Pfizer\"],\n [\"Pfizer\", \"manufactures\", \"penicillin\"],\n [\"penicillin\", \"subj... |
[
"Q557148",
"P54",
"Q169138"
] | [
"Q2472334",
"P54",
"Q169138"
] | [
"Q2472334",
"P1532",
"Q215"
] | [
"P. J. Brown",
"member of sports team",
"Miami Heat"
] | [
"Zoran Dragić",
"member of sports team",
"Miami Heat"
] | [
"Zoran Dragić",
"country for sport",
"Slovenia"
] | Q169138__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 P. J. Brown, a notable figure in basketball, and someone who represents Slovenia in the sport? | P. J. Brown | Slovenia | country for sport | Query: What are different ways of connecting P. J. Brown, a notable figure in basketball, and someone who represents Slovenia in the sport?
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 ... | 434 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"P. J. Brown\", \"teammate of\", \"Bo\u0161tjan Nachbar\"],\n [\"Bo\u0161tjan Nachbar\", \"country for sport\", \"Slovenia\"]\n ],\n \"2\": [\n [\"P. J. Brown\", \"member of sports team\", \"Miami Heat\"],\n [\"Miami Heat\", \"has member\", \"Goran ... |
[
"Q167520",
"P40",
"Q13909"
] | [
"Q235845",
"P40",
"Q13909"
] | [
"Q235845",
"P451",
"Q1701970"
] | [
"Jon Voight",
"child",
"Angelina Jolie"
] | [
"Marcheline Bertrand",
"child",
"Angelina Jolie"
] | [
"Marcheline Bertrand",
"unmarried partner",
"John Trudell"
] | Q13909__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 Jon Voight, the American actor, and someone who was an unmarried partner of John Trudell? | Jon Voight | John Trudell | unmarried partner | Query: What are different ways of connecting Jon Voight, the American actor, and someone who was an unmarried partner of John Trudell?
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... | 435 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jon Voight\", \"spouse\", \"Marcheline Bertrand\"],\n [\"Marcheline Bertrand\", \"unmarried partner\", \"John Trudell\"]\n ],\n \"2\": [\n [\"Jon Voight\", \"father of\", \"Angelina Jolie\"],\n [\"Angelina Jolie\", \"child of\", \"Marcheline Bertrand\"],\n ... |
[
"Q1024838",
"P58",
"Q15430128"
] | [
"Q1024838",
"P58",
"Q358714"
] | [
"Q358714",
"P19",
"Q49196"
] | [
"Cabin Fever",
"screenwriter",
"Randy Pearlstein"
] | [
"Cabin Fever",
"screenwriter",
"Eli Roth"
] | [
"Eli Roth",
"place of birth",
"Newton"
] | Q1024838__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 Randy Pearlstein and someone who was born in Newton? | Randy Pearlstein | Newton | place of birth | Query: What are different ways of connecting Randy Pearlstein and someone who was born in Newton?
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 en... | 436 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Randy Pearlstein\", \"screenwriter for\", \"Cabin Fever\"],\n [\"Cabin Fever\", \"directed by\", \"Eli Roth\"],\n [\"Eli Roth\", \"place of birth\", \"Newton\"]\n ],\n \"2\": [\n [\"Randy Pearlstein\", \"cast member of\", \"Cabin Fever\"],\n [\"Cabin Fev... |
[
"Q18043072",
"P2293",
"Q11081"
] | [
"Q18046351",
"P2293",
"Q11081"
] | [
"Q18046351",
"P5572",
"Q66558397"
] | [
"PLEKHG1",
"genetic association",
"Alzheimer's disease"
] | [
"CLMN",
"genetic association",
"Alzheimer's disease"
] | [
"CLMN",
"expressed in",
"lateral nuclear group of thalamus"
] | 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 PLEKHG1, a gene, and a substance that is expressed in the lateral nuclear group of the thalamus? | PLEKHG1 | lateral nuclear group of thalamus | expressed in | Query: What are different ways of connecting PLEKHG1, a gene, and a substance that is expressed in the lateral nuclear group of the thalamus?
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... | 437 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"PLEKHG1\",\n \"expressed in\",\n \"lateral nuclear group of thalamus\"\n ]\n ],\n \"2\": [\n [\n \"PLEKHG1\",\n \"interacts with\",\n \"RAC1\"\n ],\n [\n \"RAC1\",\n \"expressed in\",\n \"lateral nuclear gr... |
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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:
420 - End Index:
440
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s420__e440__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("s420_e440_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 06:07:19 using the inference pipeline with the above configuration.
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