Triple

T5506148
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Madrid Metro) E144444 entity
Predicate servesArea P82 FINISHED
Object Villaverde district E533331 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: Villaverde district | Statement: [Line 3 (Madrid Metro), servesArea, Villaverde district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villaverde district
Context triple: [Line 3 (Madrid Metro), servesArea, Villaverde district]
  • A. Villaverde Alto chosen
    Villaverde Alto is a Madrid Metro station in the Villaverde district that serves as a key southern endpoint and transport hub for local commuters.
  • 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. La Molina district
    La Molina district is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • D. 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.
  • E. 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.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f47d2dc8190ad874be6902d8a4c completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059c9a99881909863a0d1b061df72 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:32 p.m.