Triple

T20079717
Position Surface form Disambiguated ID Type / Status
Subject Sergio Busquets E499964 entity
Predicate competitionWon P8326 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: [Sergio Busquets, competitionWon, La Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Liga
Context triple: [Sergio Busquets, competitionWon, 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643f93208190ae2a413f88ea9aed completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.