Triple

T442721
Position Surface form Disambiguated ID Type / Status
Subject Carles Gil E10148 entity
Predicate formerLeague P5927 FINISHED
Object La Liga E27901 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: La Liga | Statement: [Carles Gil, formerLeague, La Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Liga
Context triple: [Carles Gil, formerLeague, 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. Copa del Rey
    The Copa del Rey is Spain’s premier annual knockout football cup competition, organized by the Royal Spanish Football Federation and contested by clubs from across the Spanish league system.
  • C. Bundesliga
    The Bundesliga is Germany's premier professional football league, featuring top-tier clubs competing annually for the national championship.
  • D. Serie A
    Serie A is Italy’s top professional football league, renowned for its historic clubs, tactical style of play, and world-class players.
  • E. Liga MX
    Liga MX is the top professional football (soccer) division in Mexico, featuring the country’s most prominent clubs.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e73555481909fc972eed3337945 completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.