Triple

T6840770
Position Surface form Disambiguated ID Type / Status
Subject La Yesca E157566 entity
Predicate hasCapital P204 FINISHED
Object La Yesca (town) E157566 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: La Yesca (town) | Statement: [La Yesca, hasCapital, La Yesca (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Yesca (town)
Context triple: [La Yesca, hasCapital, La Yesca (town)]
  • A. La Yesca chosen
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • B. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Villanueva de la Cañada
    Villanueva de la Cañada is a municipality in the Community of Madrid, Spain, known for hosting the European Space Astronomy Centre (ESAC), a key facility of the European Space Agency.
  • D. Villanueva del Pardillo
    Villanueva del Pardillo is a municipality in the Community of Madrid, Spain, known for its residential character and proximity to the capital.
  • E. San José de Valderas
    San José de Valderas is a commuter rail station in the Madrid metropolitan area that serves passengers on the C-5 Cercanías line.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb4f80081908198c8270633d34a completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.