Triple

T12652520
Position Surface form Disambiguated ID Type / Status
Subject 柏原市 E302198 entity
Predicate 前身自治体 P5557 FINISHED
Object 中河内郡柏原町
中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
E302198 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 中河内郡柏原町 | Statement: [柏原市, 前身自治体, 中河内郡柏原町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中河内郡柏原町
Context triple: [柏原市, 前身自治体, 中河内郡柏原町]
  • A. 柏原市
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • B. 国分寺市
    国分寺市は、東京都多摩地域に位置し、歴史ある武蔵国分寺跡や緑豊かな住宅地として知られる市です。
  • C. Utsunomiya, Tochigi Prefecture, Japan
    Utsunomiya is the capital city of Tochigi Prefecture in Japan, known for its gyoza (dumplings) and as a regional commercial and transportation hub north of Tokyo.
  • D. Honjo, Saitama Prefecture
    Honjo, Saitama Prefecture is a city in central Japan known for its educational institutions and its location in the northern part of the Greater Tokyo area.
  • E. 茨木市
    茨木市は、大阪府北部に位置し、住宅地と大学・研究機関が集まる文教都市として発展している市です。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 中河内郡柏原町
Triple: [柏原市, 前身自治体, 中河内郡柏原町]
Generated description
中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 中河内郡柏原町
Target entity description: 中河内郡柏原町は、大阪府東部に位置し現在の柏原市の基盤となった旧町制自治体である。
  • A. 柏原市 chosen
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • B. 国分寺市
    国分寺市は、東京都多摩地域に位置し、歴史ある武蔵国分寺跡や緑豊かな住宅地として知られる市です。
  • C. Utsunomiya, Tochigi Prefecture, Japan
    Utsunomiya is the capital city of Tochigi Prefecture in Japan, known for its gyoza (dumplings) and as a regional commercial and transportation hub north of Tokyo.
  • D. Honjo, Saitama Prefecture
    Honjo, Saitama Prefecture is a city in central Japan known for its educational institutions and its location in the northern part of the Greater Tokyo area.
  • E. 茨木市
    茨木市は、大阪府北部に位置し、住宅地と大学・研究機関が集まる文教都市として発展している市です。
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 前身自治体
Context triple: [柏原市, 前身自治体, 中河内郡柏原町]
  • A. formerMunicipalityOf chosen
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. formerAutonomousRegion
    Indicates that an entity was previously an autonomous region but no longer holds that status.
  • C. formerNameOfDistrict
    Indicates that one district previously had a different official name, which is the value linked by this predicate.
  • D. formerAdministrativeTerritory
    Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
  • E. formerNameOfAreaWithin
    Indicates that one area previously had a different name while remaining within the same larger encompassing area.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:18 p.m.