Triple

T6577981
Position Surface form Disambiguated ID Type / Status
Subject Line 11 (Madrid Metro) E157216 entity
Predicate hasStation P35 FINISHED
Object Carabanchel Alto E611537 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: Carabanchel Alto | Statement: [Line 11 (Madrid Metro), hasStation, Carabanchel Alto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabanchel Alto
Context triple: [Line 11 (Madrid Metro), hasStation, Carabanchel Alto]
  • A. Carabanchel chosen
    Carabanchel is a district in southwestern Madrid, Spain, known for its residential neighborhoods, historical prison site, and integration into the city's metro network.
  • B. Chamartín
    Chamartín is a district in northern Madrid, Spain, known for its major transport hub and as the home area of Real Madrid’s Santiago Bernabéu Stadium.
  • C. Collado Villalba
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • D. Villaverde Alto
    Villaverde Alto is a Madrid Metro station in the Villaverde district that serves as a key southern endpoint and transport hub for local commuters.
  • 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 (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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a62bf8c8190b4b24b543e9095fa completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 1:54 p.m.