Triple

T16972899
Position Surface form Disambiguated ID Type / Status
Subject Madrid metropolitan area E411731 entity
Predicate hasMunicipality P847 FINISHED
Object Coslada 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: Coslada | Statement: [Madrid metropolitan area, hasMunicipality, Coslada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coslada
Context triple: [Madrid metropolitan area, hasMunicipality, Coslada]
  • A. Coslada chosen
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • B. Coslada Central
    Coslada Central is a Madrid commuter rail and metro interchange station serving the suburban municipality of Coslada.
  • C. Collado Villalba
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • D. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • E. 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.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:31 a.m.