Triple

T3609667
Position Surface form Disambiguated ID Type / Status
Subject América E76454 entity
Predicate rivalry P903 FINISHED
Object Clásico Nacional E153979 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: Clásico Nacional | Statement: [América, rivalry, Clásico Nacional]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clásico Nacional
Context triple: [América, rivalry, Clásico Nacional]
  • A. Clásico Nacional chosen
    Clásico Nacional is the most prominent and fiercely contested football rivalry match in a country, typically between its two most popular and successful clubs.
  • B. 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.
  • C. Atlético Nacional
    Atlético Nacional is a prominent Colombian professional football club based in Medellín, renowned for its domestic success and Copa Libertadores titles.
  • D. Caracas Fútbol Club
    Caracas Fútbol Club is a professional Venezuelan football team based in Caracas and one of the country’s most successful and popular clubs.
  • E. Clásico Universitario
    Clásico Universitario is a major Chilean football rivalry between the university clubs Universidad de Chile and Universidad Católica.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433102b1c8190bf2b872c227d041a completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.