Triple

T22248560
Position Surface form Disambiguated ID Type / Status
Subject Carlos Fernando Navarro Montoya E549910 entity
Predicate playedFor P2170 FINISHED
Object América de Cali 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: América de Cali | Statement: [Carlos Fernando Navarro Montoya, playedFor, América de Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: América de Cali
Context triple: [Carlos Fernando Navarro Montoya, playedFor, América de Cali]
  • A. América de Cali chosen
    América de Cali is a prominent Colombian professional football club based in Cali, known for its historic success in domestic leagues and strong performances in South American competitions.
  • B. La Norte
    La Norte is a passionate supporters’ group known for creating a lively, vocal atmosphere at D.C. United soccer matches.
  • C. Chinchiná
    Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
  • D. Columbio
    Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
  • E. Yuscarán
    Yuscarán is a historic colonial town in southeastern Honduras known for its preserved architecture and traditional aguardiente production.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13219dc3481908dd987c4e98623e6 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.