Triple

T6081375
Position Surface form Disambiguated ID Type / Status
Subject Apartadó E135529 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Apartadó E135529 NE 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: Apartadó | Statement: [Apartadó, hasMunicipalSeat, Apartadó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apartadó
Context triple: [Apartadó, hasMunicipalSeat, Apartadó]
  • A. Apartadó chosen
    Apartadó is a municipality in Colombia’s Antioquia Department, known as an important agricultural and commercial center in the Urabá region, especially for banana production.
  • B. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • C. Tunja
    Tunja is a historic city in central Colombia known for its well-preserved colonial architecture and cultural heritage.
  • D. Montería
    Montería is a major Colombian city known as the capital of Córdoba Department, recognized for its cattle ranching economy and location along the Sinú River.
  • E. Popayán
    Popayán is a historic colonial city in southwestern Colombia, renowned for its whitewashed architecture, rich religious traditions, and prominent Holy Week celebrations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05774bc948190a446b27e83f7079b completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d52850c8190baaf70460e74065f completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.