Triple

T23450947
Position Surface form Disambiguated ID Type / Status
Subject Coveñas E567777 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Coveñas (town) 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: Coveñas (town) | Statement: [Coveñas, hasMunicipalSeat, Coveñas (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coveñas (town)
Context triple: [Coveñas, hasMunicipalSeat, Coveñas (town)]
  • A. Coveñas chosen
    Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • B. Cervera de la Cañada
    Cervera de la Cañada is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and traditional Aragonese architecture.
  • C. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • D. Alvega e Concavada
    Alvega e Concavada is a civil parish in the municipality of Abrantes, in central Portugal, formed by the merger of the former parishes of Alvega and Concavada.
  • E. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64d3e9c8190a2596b067c4f5061 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:52 p.m.