Triple

T14695535
Position Surface form Disambiguated ID Type / Status
Subject Province of Ciudad Real E345146 entity
Predicate hasMunicipality P847 FINISHED
Object Valdepeñas E832444 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: Valdepeñas | Statement: [Province of Ciudad Real, hasMunicipality, Valdepeñas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdepeñas
Context triple: [Province of Ciudad Real, hasMunicipality, Valdepeñas]
  • A. Valdepeñas chosen
    Valdepeñas is a Spanish town in the Castilla-La Mancha region renowned for its extensive wine production and designation of origin (DO) wines.
  • B. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • C. Móstoles
    Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
  • D. Medina del Campo
    Medina del Campo is a historic town in the province of Valladolid, Spain, known for its medieval fairs, strategic importance in Castilian history, and association with Queen Isabella I.
  • E. Cintray
    Cintray is a small French commune located in the Eure department in the Normandy region of northern France.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58855e081908b38f9515db5677f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5c72008190a3c4df20480850c9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 1:28 a.m.