Triple

T15788875
Position Surface form Disambiguated ID Type / Status
Subject Estadio de la Comunidad de Madrid E382809 entity
Predicate formerNameOf P65 FINISHED
Object Cívitas Metropolitano E140880 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: Cívitas Metropolitano | Statement: [Estadio de la Comunidad de Madrid, formerNameOf, Cívitas Metropolitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cívitas Metropolitano
Context triple: [Estadio de la Comunidad de Madrid, formerNameOf, Cívitas Metropolitano]
  • A. Cívitas Metropolitano chosen
    Cívitas Metropolitano is a modern football stadium in Madrid, Spain, best known as the home ground of La Liga club Atlético de Madrid.
  • B. Metropolitano
    Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
  • C. Rayo Vallecano
    Rayo Vallecano is a Spanish football club from the Madrid neighborhood of Vallecas, known for its working-class identity and passionate local support.
  • D. Club of Madrid
    The Club of Madrid is an independent organization composed mainly of former heads of state and government that works to promote democracy and good governance worldwide.
  • E. Ciudad Deportiva
    Ciudad Deportiva is a Mexico City Metro station serving the sports complex area that includes major stadiums and recreational facilities.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a87e3c8190a1c5b13cbfdff54a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.