Triple

T9955040
Position Surface form Disambiguated ID Type / Status
Subject Club Aurora E195425 entity
Predicate hasRival P1375 FINISHED
Object Club Jorge Wilstermann E219952 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: Club Jorge Wilstermann | Statement: [Club Aurora, hasRival, Club Jorge Wilstermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Jorge Wilstermann
Context triple: [Club Aurora, hasRival, Club Jorge Wilstermann]
  • A. Club Jorge Wilstermann chosen
    Club Jorge Wilstermann is a prominent Bolivian professional football club based in Cochabamba, known for its success in the Bolivian Primera División and participation in international competitions.
  • B. Jorge Wilstermann
    Jorge Wilstermann was a pioneering Bolivian commercial aviator regarded as one of the country’s early aviation heroes.
  • C. Atlas Fútbol Club
    Atlas Fútbol Club is a historic professional football team from Guadalajara, Mexico, known for its passionate fan base and participation in Liga MX.
  • D. Club Cerro Porteño
    Club Cerro Porteño is a major Paraguayan football club based in Asunción, renowned as one of the country's most successful and popular teams.
  • E. Vélez Sarsfield
    Vélez Sarsfield is a prominent Argentine professional football club based in Buenos Aires, known for its strong domestic and international success, especially in the 1990s.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257a164308190b88432b914ea7f1a completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:46 p.m.