Triple

T15177754
Position Surface form Disambiguated ID Type / Status
Subject Atlético Junior E362656 entity
Predicate notableRival P893 FINISHED
Object América de Cali E239244 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: América de Cali | Statement: [Atlético Junior, notableRival, América de Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: América de Cali
Context triple: [Atlético Junior, notableRival, 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. San Carlos Plain
    San Carlos Plain is a broad lowland region in northern Costa Rica known for its fertile agricultural lands, cattle ranching, and tropical landscapes.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00663b4148190b647592eda315d1d completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89061548190b0b10da00b8d937e completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.