Triple

T19283378
Position Surface form Disambiguated ID Type / Status
Subject Paita E482244 entity
Predicate isMunicipalSeatOf P15510 FINISHED
Object Paita Province NE NERFINISHED

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: Paita Province | Statement: [Paita, isMunicipalSeatOf, Paita Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paita Province
Context triple: [Paita, isMunicipalSeatOf, Paita Province]
  • A. Paita Province chosen
    Paita Province is an administrative province on the northern coast of Peru, known for its important port city of Paita within the Piura Region.
  • B. Lampa Province
    Lampa Province is an administrative division in southern Peru known for its high Andean landscapes and traditional rural communities within the Puno Region.
  • C. Sumapaz Province
    Sumapaz Province is an administrative subdivision of the Cundinamarca Department in central Colombia, known for its mountainous landscapes and proximity to the Bogotá metropolitan area.
  • D. Palpa Province
    Palpa Province is an administrative subdivision in southern Peru, located within the Ica Region and known for its desert landscapes and archaeological sites.
  • E. Valverde Province
    Valverde Province is an agricultural region in the northwest of the Dominican Republic, known especially for its irrigated farmlands and rice production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbffda78819088bf8dbc61756831 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.