Triple

T38337892
Position Surface form Disambiguated ID Type / Status
Subject Paser Regency E1038009 entity
Predicate governingCountrySubdivisionType P9832 FINISHED
Object province 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 | Statement: [Paser Regency, governingCountrySubdivisionType, province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governingCountrySubdivisionType
Context triple: [Paser Regency, governingCountrySubdivisionType, province]
  • A. governingCountrySubdivision
    Indicates that one country subdivision (such as a state, province, or region) has governing authority or administrative control over another geographic or political area.
  • B. governsSubdivision
    Indicates that one administrative or political unit exercises governing authority over a smaller subdivision within its jurisdiction.
  • C. countrySubdivisionType chosen
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • D. associatedCountrySubdivision
    Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
  • E. associatedCountrySubdivisionCode
    Indicates the specific administrative region or subdivision code within a country that is linked to or relevant for the given 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:30 p.m.