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 3.25k 3.32k | query stringlengths 99 166 | entity_a stringlengths 5 32 | entity_b stringlengths 6 51 | rel_b stringlengths 5 36 | prompt stringlengths 3.56k 3.67k | index int64 180 199 | raw_responses stringlengths 1.46k 4.06k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q421274",
"P2175",
"Q8277"
] | [
"Q414030",
"P2175",
"Q8277"
] | [
"Q414030",
"P8026",
"Q83284667"
] | [
"dantrolene",
"medical condition treated",
"multiple sclerosis"
] | [
"cladribine",
"medical condition treated",
"multiple sclerosis"
] | [
"cladribine",
"LiverTox likelihood score",
"LiverTox toxicity likelihood category E"
] | Q8277__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 dantrolene, a medication used to treat muscle spasticity, and a substance that has a LiverTox toxicity likelihood category of E? | dantrolene | LiverTox toxicity likelihood category E | LiverTox likelihood score | Query: What are different ways of connecting dantrolene, a medication used to treat muscle spasticity, and a substance that has a LiverTox toxicity likelihood category of E?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (... | 180 | {"final_response": "```json\n{\n \"1\": [\n [\n \"dantrolene\",\n \"treats\",\n \"malignant hyperthermia\"\n ],\n [\n \"malignant hyperthermia\",\n \"triggered by\",\n \"succinylcholine\"\n ],\n [\n \"succinylcholine\",\n \"LiverTox likelihood score\",\n \"Li... |
[
"Q107809789",
"P58",
"Q104776463"
] | [
"Q1904757",
"P58",
"Q104776463"
] | [
"Q104776463",
"P106",
"Q2526255"
] | [
"Job Römer",
"screenwriter",
"The Expedition of the Family Fox"
] | [
"Nienke Römer",
"screenwriter",
"The Expedition of the Family Fox"
] | [
"The Expedition of the Family Fox",
"occupation",
"film director"
] | 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 The Expedition of the Family Fox, a notable film, and someone who is a film director? | The Expedition of the Family Fox | film director | occupation | Query: What are different ways of connecting The Expedition of the Family Fox, a notable film, 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 continu... | 181 | {"final_response": "```json\n{\n \"1\": [\n [\"The Expedition of the Family Fox\", \"instance of\", \"film\"],\n [\"film\", \"award received\", \"Academy Award for Best Director\"],\n [\"Academy Award for Best Director\", \"winner\", \"Steven Spielberg\"],\n [\"Steven Spielberg\", \"occupation\", \"film di... |
[
"Q15526569",
"P54",
"Q7080909"
] | [
"Q52715014",
"P54",
"Q7080909"
] | [
"Q52715014",
"P69",
"Q761534"
] | [
"Lamaar Thomas",
"member of sports team",
"Ohio State Buckeyes football"
] | [
"Justin Fields",
"member of sports team",
"Ohio State Buckeyes football"
] | [
"Justin Fields",
"educated at",
"University of Georgia"
] | Q7080909__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 Lamaar Thomas, an American football player, and someone who was educated at the University of Georgia? | Lamaar Thomas | University of Georgia | educated at | Query: What are different ways of connecting Lamaar Thomas, an American football player, and someone who was educated at the University of Georgia?
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) ... | 182 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Lamaar Thomas\", \"teammate of\", \"Abry Jones\"],\n [\"Abry Jones\", \"educated at\", \"University of Georgia\"]\n ],\n \"2\": [\n [\"Lamaar Thomas\", \"played for\", \"Ohio State Buckeyes\"],\n [\"Justin Fields\", \"played for\", \"Ohio State Buc... |
[
"Q10266157",
"P57",
"Q113687947"
] | [
"Q10266157",
"P57",
"Q9601891"
] | [
"Q9601891",
"P19",
"Q174"
] | [
"Didi, the Goofy Cupid",
"director",
"Paulo Aragão"
] | [
"Didi, the Goofy Cupid",
"director",
"Alexandre Boury"
] | [
"Alexandre Boury",
"place of birth",
"São Paulo"
] | Q10266157__P57 | 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 Didi, the Goofy Cupid, and someone who was born in São Paulo? | Didi, the Goofy Cupid | São Paulo | place of birth | Query: What are different ways of connecting Didi, the Goofy Cupid, and someone who was born in São Paulo?
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 wi... | 183 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Didi, the Goofy Cupid\", \"cast member\", \"Jackeline Petkovic\"],\n [\"Jackeline Petkovic\", \"place of birth\", \"S\u00e3o Paulo\"]\n ],\n \"2\": [\n [\"Didi, the Goofy Cupid\", \"director\", \"Alexandre Boury\"],\n [\"Alexandre Boury\", \"father... |
[
"Q873",
"P166",
"Q292044"
] | [
"Q36949",
"P166",
"Q292044"
] | [
"Q36949",
"P136",
"Q188473"
] | [
"Meryl Streep",
"award received",
"AFI Life Achievement Award"
] | [
"Robert De Niro",
"award received",
"AFI Life Achievement Award"
] | [
"Robert De Niro",
"genre",
"action film"
] | Q292044__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 Meryl Streep, the acclaimed actress, and someone who is known for their work in the action film genre? | Meryl Streep | action film | genre | Query: What are different ways of connecting Meryl Streep, the acclaimed actress, and someone who is known for their work in the action film genre?
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) ... | 184 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Meryl Streep\", \"cast member of\", \"The River Wild\"],\n [\"The River Wild\", \"genre\", \"action film\"]\n ],\n \"2\": [\n [\"Meryl Streep\", \"cast member of\", \"Death Becomes Her\"],\n [\"Death Becomes Her\", \"cast member\", \"Bruce Willis\"],\n [... |
[
"Q12745374",
"P463",
"Q23471"
] | [
"Q526120",
"P463",
"Q23471"
] | [
"Q526120",
"P106",
"Q177220"
] | [
"Hella",
"member of",
"Lordi"
] | [
"Leena Peisa",
"member of",
"Lordi"
] | [
"Leena Peisa",
"occupation",
"singer"
] | Q23471__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 Hella, a notable figure, and someone who is known for their work as a singer? | Hella | singer | occupation | Query: What are different ways of connecting Hella, a notable figure, and someone who is known for their work as a singer?
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... | 185 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Hella\",\n \"has member\",\n \"Zach Hill\"\n ],\n [\n \"Zach Hill\",\n \"collaborated with\",\n \"Bj\u00f6rk\"\n ],\n [\n \"Bj\u00f6rk\",\n \"occupation\",\n \"singer\"\n ]\n ],\n \"2\": [\n [\n ... |
[
"Q2744",
"P161",
"Q1086977"
] | [
"Q2744",
"P161",
"Q229271"
] | [
"Q229271",
"P1411",
"Q106301"
] | [
"The X-Files",
"cast member",
"Christopher Stanley"
] | [
"The X-Files",
"cast member",
"Lily Tomlin"
] | [
"Lily Tomlin",
"nominated for",
"Academy Award for Best Supporting Actress"
] | Q2744__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 Christopher Stanley, an actor, and someone who was nominated for the Academy Award for Best Supporting Actress? | Christopher Stanley | Academy Award for Best Supporting Actress | nominated for | Query: What are different ways of connecting Christopher Stanley, an actor, and someone who was nominated for the Academy Award for Best Supporting Actress?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationshi... | 186 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Christopher Stanley\", \"acted in\", \"Zero Dark Thirty\"],\n [\"Zero Dark Thirty\", \"cast member\", \"Jessica Chastain\"],\n [\"Jessica Chastain\", \"nominated for\", \"Academy Award for Best Supporting Actress\"]\n ],\n \"2\": [\n [\"Christopher Stanley\... |
[
"Q31202708",
"P58",
"Q28857169"
] | [
"Q31202708",
"P58",
"Q337658"
] | [
"Q337658",
"P166",
"Q41417"
] | [
"Top Gun: Maverick",
"screenwriter",
"Justin Marks"
] | [
"Top Gun: Maverick",
"screenwriter",
"Christopher McQuarrie"
] | [
"Christopher McQuarrie",
"award received",
"Academy Award for Best Writing, Original Screenplay"
] | Q31202708__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 Justin Marks, a filmmaker, and someone who has received the Academy Award for Best Writing, Original Screenplay? | Justin Marks | Academy Award for Best Writing, Original Screenplay | award received | Query: What are different ways of connecting Justin Marks, a filmmaker, and someone who has received the Academy Award for Best Writing, Original Screenplay?
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... | 187 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Justin Marks\", \"wrote\", \"Top Gun: Maverick\"],\n [\"Top Gun: Maverick\", \"co-written by\", \"Christopher McQuarrie\"],\n [\"Christopher McQuarrie\", \"award received\", \"Academy Award for Best Writing, Original Screenplay\"]\n ],\n \"2\": [\n [\"Justi... |
[
"Q2085290",
"P40",
"Q989"
] | [
"Q5371654",
"P40",
"Q989"
] | [
"Q5371654",
"P106",
"Q242468"
] | [
"Karol Wojtyła",
"child",
"John Paul II"
] | [
"Emilia Wojtyła",
"child",
"John Paul II"
] | [
"Emilia Wojtyła",
"occupation",
"tailor"
] | Q989__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 Karol Wojtyła, the influential figure in the Catholic Church, and someone who worked as a tailor? | Karol Wojtyła | tailor | occupation | Query: What are different ways of connecting Karol Wojtyła, the influential figure in the Catholic Church, and someone who worked as a tailor?
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) formi... | 188 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Karol Wojty\u0142a\", \"employed\", \"Raniero Mancinelli\"],\n [\"Raniero Mancinelli\", \"occupation\", \"tailor\"]\n ],\n \"2\": [\n [\"Karol Wojty\u0142a\", \"met with\", \"Jimmy Carter\"],\n [\"Jimmy Carter\", \"held position\", \"President of t... |
[
"Q104898484",
"P58",
"Q112556102"
] | [
"Q104898484",
"P58",
"Q89448737"
] | [
"Q89448737",
"P101",
"Q11163999"
] | [
"Hungry Bear Tales",
"screenwriter",
"Milada Těšitelová"
] | [
"Hungry Bear Tales",
"screenwriter",
"Tomáš Končinský"
] | [
"Tomáš Končinský",
"field of work",
"children's and youth literature"
] | Q104898484__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 Milada Těšitelová, a notable figure in literature, and someone who has worked in the field of children's and youth literature? | Milada Těšitelová | children's and youth literature | field of work | Query: What are different ways of connecting Milada Těšitelová, a notable figure in literature, and someone who has worked in the field of children's and youth literature?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | 189 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Milada T\u011b\u0161itelov\u00e1\",\n \"educated at\",\n \"Charles University\"\n ],\n [\n \"Charles University\",\n \"educated\",\n \"Eduard Peti\u0161ka\"\n ],\n [\n \"Eduard Peti\u0161ka\",\n \"field of work\",... |
[
"Q232144",
"P40",
"Q353"
] | [
"Q295268",
"P40",
"Q353"
] | [
"Q295268",
"P39",
"Q58005513"
] | [
"Eleanor of England",
"child",
"Blanche of Castile"
] | [
"Alfonso VIII of Castile",
"child",
"Blanche of Castile"
] | [
"Alfonso VIII of Castile",
"position held",
"Monarch of the Kingdom of Castile"
] | Q353__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 Eleanor of England, a historical figure, and someone who held the position of Monarch of the Kingdom of Castile? | Eleanor of England | Monarch of the Kingdom of Castile | position held | Query: What are different ways of connecting Eleanor of England, a historical figure, and someone who held the position of Monarch of the Kingdom of Castile?
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... | 190 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Eleanor of England\", \"spouse\", \"Alfonso VIII of Castile\"],\n [\"Alfonso VIII of Castile\", \"position held\", \"Monarch of the Kingdom of Castile\"]\n ],\n \"2\": [\n [\"Eleanor of England\", \"child\", \"Berengaria of Castile\"],\n [\"Berengaria of Ca... |
[
"Q215565",
"P161",
"Q153723"
] | [
"Q77462",
"P161",
"Q153723"
] | [
"Q153723",
"P463",
"Q32645"
] | [
"Jana Pallaske",
"cast member",
"Inglourious Basterds"
] | [
"Bela B",
"cast member",
"Inglourious Basterds"
] | [
"Inglourious Basterds",
"member of",
"Die Ärzte"
] | Q153723__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 Inglourious Basterds, the film, and someone who is a member of the band Die Ärzte? | Inglourious Basterds | Die Ärzte | member of | Query: What are different ways of connecting Inglourious Basterds, the film, and someone who is a member of the band Die Ärzte?
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... | 191 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Inglourious Basterds\",\n \"features cameo by\",\n \"Bela B.\"\n ],\n [\n \"Bela B.\",\n \"member of\",\n \"Die \u00c4rzte\"\n ]\n ],\n \"2\": [\n [\n \"Inglourious Basterds\",\n \"directed by\",\n \"Quenti... |
[
"Q18047762",
"P2293",
"Q128581"
] | [
"Q14911644",
"P2293",
"Q128581"
] | [
"Q14911644",
"P5572",
"Q66527052"
] | [
"ZNF577",
"genetic association",
"breast cancer"
] | [
"FGFR2",
"genetic association",
"breast cancer"
] | [
"FGFR2",
"expressed in",
"skin of thigh"
] | Q128581__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 ZNF577, a gene, and a substance that is expressed in the skin of the thigh? | ZNF577 | skin of thigh | expressed in | Query: What are different ways of connecting ZNF577, a gene, and a substance that is expressed in the skin of the thigh?
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 ... | 192 | {"final_response": "<answer>\n{\n \"1\": [\n [\"ZNF577\", \"encodes\", \"ZNF577 protein\"],\n [\"ZNF577 protein\", \"expressed in\", \"skin of thigh\"]\n ],\n \"2\": [\n [\"ZNF577\", \"interacts with\", \"UBC\"],\n [\"UBC\", \"expressed in\", \"skin of thigh\"]\n ],\n \"3\": [\n [\"ZNF577\", \"inter... |
[
"Q411188",
"P2175",
"Q11081"
] | [
"Q412690",
"P2175",
"Q11081"
] | [
"Q412690",
"P703",
"Q85206672"
] | [
"aripiprazole",
"medical condition treated",
"Alzheimer's disease"
] | [
"galantamine",
"medical condition treated",
"Alzheimer's disease"
] | [
"galantamine",
"found in taxon",
"Lycoris traubii"
] | Q11081__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 aripiprazole, a medication used to treat mental health conditions, and a substance that is found in the taxon Lycoris traubii? | aripiprazole | Lycoris traubii | found in taxon | Query: What are different ways of connecting aripiprazole, a medication used to treat mental health conditions, and a substance that is found in the taxon Lycoris traubii?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | 193 | {"final_response": "<answer>\n{\n \"1\": [\n [\"aripiprazole\", \"metabolized by\", \"CYP2D6\"],\n [\"CYP2D6\", \"metabolizes\", \"galantamine\"],\n [\"galantamine\", \"found in taxon\", \"Lycoris traubii\"]\n ],\n \"2\": [\n [\"aripiprazole\", \"metabolized by\", \"CYP3A4\"],\n [\"CYP3A4\", \"metabol... |
[
"Q105944446",
"P40",
"Q2632"
] | [
"Q105944447",
"P40",
"Q2632"
] | [
"Q105944447",
"P22",
"Q105944450"
] | [
"Richard Henry Parkin Starkey",
"child",
"Ringo Starr"
] | [
"Elsie Starkey",
"child",
"Ringo Starr"
] | [
"Elsie Starkey",
"father",
"John Gleave"
] | Q2632__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 Richard Henry Parkin Starkey, the musician better known as Ringo Starr, and someone who is the father of John Gleave? | Richard Henry Parkin Starkey | John Gleave | father | Query: What are different ways of connecting Richard Henry Parkin Starkey, the musician better known as Ringo Starr, and someone who is the father of John Gleave?
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... | 194 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Richard Henry Parkin Starkey\", \"mother\", \"Elsie Gleave\"],\n [\"Elsie Gleave\", \"father\", \"John Gleave\"]\n ],\n \"2\": [\n [\"Richard Henry Parkin Starkey\", \"father\", \"Richard Starkey Sr.\"],\n [\"Richard Starkey Sr.\", \"spouse\", \"El... |
[
"Q104897784",
"P58",
"Q95109910"
] | [
"Q104897784",
"P58",
"Q95078639"
] | [
"Q95078639",
"P106",
"Q2629392"
] | [
"Two Brides and One Wedding",
"screenwriter",
"Marcel Bystroň"
] | [
"Two Brides and One Wedding",
"screenwriter",
"Tomáš Svoboda"
] | [
"Tomáš Svoboda",
"occupation",
"puppeteer"
] | Q104897784__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 Marcel Bystroň, a notable figure in the arts, and someone who works as a puppeteer? | Marcel Bystroň | puppeteer | occupation | Query: What are different ways of connecting Marcel Bystroň, a notable figure in the arts, and someone who works as a puppeteer?
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 continuou... | 195 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Marcel Bystro\u0148\",\n \"place of birth\",\n \"Prague\"\n ],\n [\n \"Prague\",\n \"place of birth\",\n \"Helena \u0160t\u00e1chov\u00e1\"\n ],\n [\n \"Helena \u0160t\u00e1chov\u00e1\",\n \"occupation\",\n \... |
[
"Q7323174",
"P54",
"Q223522"
] | [
"Q84335005",
"P54",
"Q223522"
] | [
"Q84335005",
"P413",
"Q674953"
] | [
"Rich Baldinger",
"member of sports team",
"Kansas City Chiefs"
] | [
"Garcia Lane",
"member of sports team",
"Kansas City Chiefs"
] | [
"Garcia Lane",
"position played on team / speciality",
"defensive back"
] | 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 Rich Baldinger, a former American football player, and someone who played as a defensive back on a team? | Rich Baldinger | defensive back | position played on team / speciality | Query: What are different ways of connecting Rich Baldinger, a former American football player, and someone who played as a defensive back on a team?
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... | 196 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Rich Baldinger\", \"played for\", \"Kansas City Chiefs\"],\n [\"Kansas City Chiefs\", \"has player\", \"Deron Cherry\"],\n [\"Deron Cherry\", \"position played on team / speciality\", \"defensive back\"]\n ],\n \"2\": [\n [\"Rich Baldinger\", \"played for\"... |
[
"Q5275112",
"P463",
"Q25507"
] | [
"Q70571",
"P463",
"Q25507"
] | [
"Q70571",
"P106",
"Q584301"
] | [
"Dieter Rubach",
"member of",
"Accept"
] | [
"Peter Baltes",
"member of",
"Accept"
] | [
"Peter Baltes",
"occupation",
"bassist"
] | Q25507__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 Dieter Rubach and someone who is known for their occupation as a bassist? | Dieter Rubach | bassist | occupation | Query: What are different ways of connecting Dieter Rubach and someone who is known for their occupation as a bassist?
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 th... | 197 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Dieter Rubach\", \"occupation\", \"bassist\"]\n ],\n \"2\": [\n [\"Dieter Rubach\", \"member of\", \"Accept (band)\"],\n [\"Accept (band)\", \"has member\", \"Peter Baltes\"],\n [\"Peter Baltes\", \"occupation\", \"bassist\"]\n ],\n \"3\": [\n [\"Diete... |
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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:
180 - End Index:
200
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s180__e200__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("s180_e200_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 02:33:21 using the inference pipeline with the above configuration.
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