Triple

T8257964
Position Surface form Disambiguated ID Type / Status
Subject YN E193117 entity
Predicate denotesAdministrativeDivision P10770 FINISHED
Object province of China 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: province of China | Statement: [YN, denotesAdministrativeDivision, province of China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denotesAdministrativeDivision
Context triple: [YN, denotesAdministrativeDivision, province of China]
  • A. denotesAdministrativeArea
    Indicates that one entity designates or specifies another entity as its relevant administrative area or jurisdiction.
  • B. administrativeTerritorialEntityOf
    Indicates that one entity serves as the administrative territorial unit or jurisdiction to which another entity belongs or is governed by.
  • C. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • D. administrativeDistricts
    Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
  • E. politicalDivision chosen
    Indicates that one entity is a governmental or administrative subdivision or jurisdiction within the territory or authority of 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fce9308190ac36512e80b06b52 completed March 31, 2026, 7:34 a.m.
PD Predicate disambiguation batch_69cb36b6d5548190b665a6cce14c69f7 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:49 p.m.