Triple

T23319660
Position Surface form Disambiguated ID Type / Status
Subject CD Toledo E590816 entity
Predicate shortName P43 FINISHED
Object CD Toledo 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: CD Toledo | Statement: [CD Toledo, shortName, CD Toledo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CD Toledo
Context triple: [CD Toledo, shortName, CD Toledo]
  • A. CD Toledo chosen
    CD Toledo is a Spanish football club based in Toledo, Castilla-La Mancha, that has traditionally competed in the lower divisions of the Spanish league system.
  • B. CD Guadalajara
    CD Guadalajara is a Spanish football club based in Guadalajara that competes in the country’s lower professional divisions.
  • C. CD Concepción
    CD Concepción is a Chilean football club commonly known as Deportes Concepción, based in the city of Concepción.
  • D. CD San Isidro
    CD San Isidro is a Spanish football club known for its youth development, having helped launch the career of players such as Pedro Rodríguez.
  • E. CD Parque Europa
    CD Parque Europa is a local football club based in Torrejón de Ardoz, Spain, competing in the regional tiers of Spanish football.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978440888190b316664812105d60 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.