Triple

T21522126
Position Surface form Disambiguated ID Type / Status
Subject 明日香村 E530999 entity
Predicate 行政区分上の位置 P82824 FINISHED
Object 奈良県中部に位置する 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: 奈良県中部に位置する | Statement: [明日香村, 行政区分上の位置, 奈良県中部に位置する]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 行政区分上の位置
Context triple: [明日香村, 行政区分上の位置, 奈良県中部に位置する]
  • A. roleInAdministrativeDivision
    Indicates that an entity holds or fulfills a specific role, function, or position within a particular administrative division or jurisdiction.
  • B. locatedInPrefectureLevel
    Indicates that one entity is geographically situated within, and administratively belongs to, a specific prefecture-level jurisdiction.
  • C. locatedInRegionOfPrefecture chosen
    Indicates that one entity is geographically situated within a specific region that belongs to or is administered as part of a given prefecture.
  • D. isLocatedInAdministrativeArea
    Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, or region).
  • E. urbanDivisionRelation
    Indicates a relationship where one urban area, zone, or administrative unit is divided into, or associated with, specific sub-areas or subdivisions within a city or metropolitan region.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884cff5881908d93a54578e7b1b0 completed April 26, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:26 p.m.