Triple

T28877458
Position Surface form Disambiguated ID Type / Status
Subject Yichang counties E732310 entity
Predicate areSubdivisionsOf P19236 FINISHED
Object Yichang city proper NE NERFINISHED

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: Yichang city proper | Statement: [Yichang counties, areSubdivisionsOf, Yichang city proper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areSubdivisionsOf
Context triple: [Yichang counties, areSubdivisionsOf, Yichang city proper]
  • A. isSubnationalDivisionOf
    Indicates that one entity is an administrative or territorial subdivision that is officially part of, and governed within the jurisdiction of, another larger political entity.
  • B. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • C. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • D. representsSubdivisionOf chosen
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • E. isRegionalSubdivisionOf
    Indicates that one region functions as an administrative or geographic subdivision within a larger 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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a4cb030819097b892710baa7d88 completed May 2, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69f65762b5e481908a30ca963dcba4be completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:39 a.m.