Triple

T20815369
Position Surface form Disambiguated ID Type / Status
Subject Plaza del Altozano E512422 entity
Predicate near P350 FINISHED
Object Mercado de Triana 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: Mercado de Triana | Statement: [Plaza del Altozano, near, Mercado de Triana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercado de Triana
Context triple: [Plaza del Altozano, near, Mercado de Triana]
  • A. Mercado de Triana chosen
    Mercado de Triana is a historic covered market in Seville, Spain, known for its traditional food stalls, local produce, and vibrant neighborhood atmosphere.
  • B. Triana neighborhood
    Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
  • C. Mercado de San Benito
    Mercado de San Benito is a bustling traditional market in Mérida’s historic center, known for its local food, produce, and everyday goods.
  • D. Plaza Matadero
    Plaza Matadero is an open-air public square within the Matadero Madrid cultural complex, used for large-scale events, performances, and community activities.
  • E. Chueca area
    Chueca area is a vibrant Madrid neighborhood renowned for its lively LGBTQ+ scene, trendy bars, restaurants, and fashionable boutiques.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d5a514819093d1a18626de8857 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.