Triple

T32028080
Position Surface form Disambiguated ID Type / Status
Subject Lugait E817871 entity
Predicate countrySubdivisionType2 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: [Lugait, countrySubdivisionType2, province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countrySubdivisionType2
Context triple: [Lugait, countrySubdivisionType2, province]
  • A. countrySubdivisionType chosen
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • B. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • C. countrySubdivisionTypeRepresented
    Indicates that a given entity represents or corresponds to a specific type of country subdivision (such as a state, province, or region).
  • D. coordinatesCountrySubdivision
    Indicates that one entity is responsible for organizing, managing, or overseeing the administrative or operational aspects of a specific country subdivision.
  • E. countrySubdivisionServed
    Indicates a relationship where a service, organization, or entity operates within and provides its offerings to a specific administrative region or subdivision of a country.
  • 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_69f348fb04e4819081f4eab040ed7959 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a0027e4a59481909417b2531daaf480 completed May 10, 2026, 6:38 a.m.
PD Predicate disambiguation batch_6a0026a42bc08190ad3322ce625a523a completed May 10, 2026, 6:33 a.m.
Created at: May 1, 2026, 12:17 a.m.