Triple

T2454874
Position Surface form Disambiguated ID Type / Status
Subject 枚方市 E54395 entity
Predicate 行政区分 P35772 FINISHED
Object LITERAL FINISHED

How this triple was built (2 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: 市 | Statement: [枚方市, 行政区分, 市]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 行政区分
Context triple: [枚方市, 行政区分, 市]
  • A. administrativeCouncilArea
    Indicates that one entity is an administrative council area within which the other entity is located or governed.
  • B. partOfAdministration
    Indicates that an entity belongs to, is included within, or is a constituent component of a particular administrative body, structure, or system.
  • C. usesAdministrativeDivisionType chosen
    Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
  • D. governanceArea
    Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
  • E. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • F. None of above.

Provenance (3 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
Created at: March 6, 2026, 9:44 p.m.