Triple

T22691159
Position Surface form Disambiguated ID Type / Status
Subject Keylor Navas E561053 entity
Predicate leagueParticipatedIn P2209 FINISHED
Object La Liga 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: La Liga | Statement: [Keylor Navas, leagueParticipatedIn, La Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Liga
Context triple: [Keylor Navas, leagueParticipatedIn, La Liga]
  • A. La Liga chosen
    La Liga is Spain’s top professional football division, renowned as one of the world’s strongest leagues and home to clubs like Real Madrid and FC Barcelona.
  • B. Sacra Liga
    Sacra Liga is another name for the Holy League of 1684, a coalition of European powers formed to oppose the Ottoman Empire during the Great Turkish War.
  • C. Liga Primera
    Liga Primera is the top professional football league in Nicaragua, featuring the country’s leading clubs in its premier domestic competition.
  • D. La Ligua
    La Ligua is a Chilean city known for its textile industry and traditional sweets, serving as an important commercial and cultural center in the Valparaíso Region.
  • E. Liga Nacional
    Liga Nacional is the top professional football league in Guatemala, featuring the country’s premier clubs in its highest competitive division.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.