Triple

T18582430
Position Surface form Disambiguated ID Type / Status
Subject Fala E454147 entity
Predicate spokenInLocality P109887 FINISHED
Object San Martín de Trevejo 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: San Martín de Trevejo | Statement: [Fala, spokenInLocality, San Martín de Trevejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Martín de Trevejo
Context triple: [Fala, spokenInLocality, San Martín de Trevejo]
  • A. San Martín de Trevejo chosen
    San Martín de Trevejo is a small municipality in western Spain’s Extremadura region, noted for its unique local culture and preservation of the minority Fala language.
  • B. San Martín de la Vega
    San Martín de la Vega is a municipality in the Community of Madrid, Spain, known for hosting the Parque Warner Madrid theme park.
  • C. San Martín del Rey Aurelio
    San Martín del Rey Aurelio is a municipality in Asturias, northern Spain, historically known for its coal mining industry within the Asturian mining basin.
  • D. San Román
    San Román is a Spanish surname commonly borne by individuals of Hispanic origin.
  • E. San Martín Itunyoso
    San Martín Itunyoso is a small indigenous municipality in Oaxaca, Mexico, known as a cultural center of the Triqui people and their traditional customs and language.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d10b1c8190a401df810b7290c9 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.