Triple

T37991782
Position Surface form Disambiguated ID Type / Status
Subject San Nicolas District E947836 entity
Predicate hasTerritorialUnitKind P92063 FINISHED
Object district-level subdivision 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: district-level subdivision | Statement: [San Nicolas District, hasTerritorialUnitKind, district-level subdivision]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerritorialUnitKind
Context triple: [San Nicolas District, hasTerritorialUnitKind, district-level subdivision]
  • A. hasTerritorialSubdivisionType
    Indicates that an entity’s territorial subdivisions are of a specified administrative or geographic type (e.g., province, county, district).
  • B. hasTerritorialAssociation
    Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
  • C. hasTerritorialInterestIn
    Indicates that an entity claims, seeks, or maintains control, influence, or rights over a specific geographic area or territory.
  • D. administrativeTerritoryType chosen
    Indicates the classification of an administrative area according to its level or type of territorial governance (e.g., city, county, province).
  • E. hasFormOfTerritorialOrganization
    Indicates that one entity possesses or is structured according to a particular type or form of territorial organization.
  • 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_69f76efa37088190be5416b7ef1ca275 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fecd0a732c819097bdd3eb69b6158c completed May 9, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69fecc0318d481908b5b20598a76a9fe completed May 9, 2026, 5:54 a.m.
Created at: May 3, 2026, 4:20 p.m.