Triple

T22751680
Position Surface form Disambiguated ID Type / Status
Subject Chamberí E562716 entity
Predicate hasNotableSquare P7888 FINISHED
Object Glorieta de Bilbao 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: Glorieta de Bilbao | Statement: [Chamberí, hasNotableSquare, Glorieta de Bilbao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glorieta de Bilbao
Context triple: [Chamberí, hasNotableSquare, Glorieta de Bilbao]
  • A. Glorieta de Bilbao chosen
    Glorieta de Bilbao is a well-known circular plaza and traffic hub in Madrid, Spain, located at the junction of several major streets in the Chamberí district.
  • B. Plaza Jáuregui
    Plaza Jáuregui is a notable public square and local gathering spot in the Mixcoac neighborhood of Mexico City.
  • C. Prado de San Sebastián
    Prado de San Sebastián is a major transport hub and metro station in Seville, Spain, serving as an important interchange point near the historic city center.
  • D. Bolsa de Bilbao building
    The Bolsa de Bilbao building is the historic and emblematic headquarters of the Bilbao Stock Exchange, located in the financial heart of Bilbao, Spain.
  • E. Zabaltegi
    Zabaltegi is a non-competitive, open-themed section of the San Sebastián International Film Festival that showcases a diverse selection of innovative and noteworthy films.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.