Triple

T13201036
Position Surface form Disambiguated ID Type / Status
Subject Province of Madrid E314239 entity
Predicate contains P35 FINISHED
Object Collado Villalba E110932 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: Collado Villalba | Statement: [Province of Madrid, contains, Collado Villalba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collado Villalba
Context triple: [Province of Madrid, contains, Collado Villalba]
  • A. Collado Villalba chosen
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • B. Fuenlabrada
    Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
  • C. 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.
  • D. Collado Mediano
    Collado Mediano is a small municipality in the Community of Madrid, Spain, located in the Sierra de Guadarrama mountain range.
  • E. Carabanchel
    Carabanchel is a district in southwestern Madrid, Spain, known for its residential neighborhoods, historical prison site, and integration into the city's metro network.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6591d881909a6ebc22246caead completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9a5e388190ab75b9f476216894 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:16 p.m.