Triple

T6496491
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Madrid Metro) E148172 entity
Predicate hasStation P35 FINISHED
Object Chueca E551771 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: Chueca | Statement: [Line 5 (Madrid Metro), hasStation, Chueca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chueca
Context triple: [Line 5 (Madrid Metro), hasStation, Chueca]
  • A. Chueca area chosen
    Chueca area is a vibrant Madrid neighborhood renowned for its lively LGBTQ+ scene, trendy bars, restaurants, and fashionable boutiques.
  • B. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • C. Barrio de Salamanca
    Barrio de Salamanca is an affluent, centrally located district of Madrid known for its elegant 19th-century architecture, upscale shopping streets, and prestigious residential character.
  • D. 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.
  • E. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06aba8f04819080b291baf79c42d5 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdf59548190b4ba4f44716e6b3c completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.