Triple

T12213664
Position Surface form Disambiguated ID Type / Status
Subject Portuguese state E291028 entity
Predicate hasSubnationalDivisionType P9832 FINISHED
Object municipality 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: municipality | Statement: [Portuguese state, hasSubnationalDivisionType, municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubnationalDivisionType
Context triple: [Portuguese state, hasSubnationalDivisionType, municipality]
  • A. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • B. 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.
  • C. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • D. hasHigherLevelSubdivisionType
    Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
  • E. countrySubdivisionType chosen
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.