Triple

T10885131
Position Surface form Disambiguated ID Type / Status
Subject Amado Guevara E257022 entity
Predicate playedFor P2170 FINISHED
Object Saprissa E584567 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: Saprissa | Statement: [Amado Guevara, playedFor, Saprissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saprissa
Context triple: [Amado Guevara, playedFor, Saprissa]
  • A. Saprissa chosen
    Saprissa is a prominent Costa Rican football club based in San José, widely regarded as one of the most successful and popular teams in Central America.
  • B. Atlético Nacional
    Atlético Nacional is a prominent Colombian professional football club based in Medellín, renowned for its domestic success and Copa Libertadores titles.
  • C. C.D. Nacional
    C.D. Nacional is a Portuguese professional football club based in Funchal, Madeira, known for competing in the country’s top leagues and developing notable players.
  • D. Deportivo Pereira
    Deportivo Pereira is a professional Colombian football club based in the city of Pereira, known for competing in the country’s top-tier league.
  • E. Club Atlético Colón
    Club Atlético Colón is a professional Argentine sports club best known for its football team, which competes in the country’s top leagues and is based in the city of Santa Fe.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.