Triple

T1102918
Position Surface form Disambiguated ID Type / Status
Subject Artemisa Province E25420 entity
Predicate hasMunicipality P847 FINISHED
Object San Antonio de los Baños E25974 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: San Antonio de los Baños | Statement: [Artemisa Province, hasMunicipality, San Antonio de los Baños]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Antonio de los Baños
Context triple: [Artemisa Province, hasMunicipality, San Antonio de los Baños]
  • A. San Antonio de los Baños chosen
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • B. San José de los Cedros
    San José de los Cedros is a residential neighborhood located within the borough of Cuajimalpa de Morelos in Mexico City.
  • C. San José de la Mariquina
    San José de la Mariquina is a small Chilean city known for its agricultural surroundings and location in the southern Los Ríos Region.
  • D. San Fernando
    San Fernando is a major industrial and commercial city located in the southern part of Trinidad, known for its energy sector and bustling urban center.
  • E. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66293b5c819091eb69db328d5698 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:43 p.m.