Triple

T23331510
Position Surface form Disambiguated ID Type / Status
Subject Malasaña E591455 entity
Predicate adjacentTo P224 FINISHED
Object Chueca 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: Chueca | Statement: [Malasaña, adjacentTo, Chueca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chueca
Context triple: [Malasaña, adjacentTo, 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. Chueca Goitia
    Chueca Goitia is a Spanish surname most notably associated with Fernando Chueca Goitia, a prominent 20th-century architect, historian, and theorist of Spanish architecture and urbanism.
  • C. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • D. Plaza de Lavapiés
    Plaza de Lavapiés is a central square in Madrid’s historic, multicultural Lavapiés neighborhood, known for its lively atmosphere, bars, and cultural venues.
  • E. Chueca metro station
    Chueca metro station is a Madrid Metro station on Line 5, serving the central Chueca area known for its vibrant nightlife and LGBTQ+ scene.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197edfbbc81908cb56507cd280737 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:15 p.m.