Triple

T16995771
Position Surface form Disambiguated ID Type / Status
Subject Monte del Pilar E412310 entity
Predicate near P350 FINISHED
Object Las Rozas de Madrid 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: Las Rozas de Madrid | Statement: [Monte del Pilar, near, Las Rozas de Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Rozas de Madrid
Context triple: [Monte del Pilar, near, Las Rozas de Madrid]
  • A. Las Rozas de Madrid chosen
    Las Rozas de Madrid is a suburban municipality northwest of central Madrid, known for its residential areas, business parks, and large outlet shopping centers.
  • B. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • C. Fuencarral-El Pardo
    Fuencarral-El Pardo is a large northern district of Madrid, Spain, known for combining residential neighborhoods with extensive natural areas such as Monte de El Pardo.
  • D. Collado Villalba
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • E. Villa de Vallecas
    Villa de Vallecas is a district in the southeast of Madrid, Spain, known for its mix of traditional working-class neighborhoods and newer residential developments.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
Created at: April 10, 2026, 5:32 a.m.