Triple

T11776359
Position Surface form Disambiguated ID Type / Status
Subject Sándor Kocsis E280028 entity
Predicate league P888 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: [Sándor Kocsis, league, La Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Liga
Context triple: [Sándor Kocsis, league, 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. 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.
  • D. Liga Nacional
    Liga Nacional is the top professional football league in Guatemala, featuring the country’s premier clubs in its highest competitive division.
  • E. Copa de la Liga
    The Copa de la Liga was a short-lived Spanish football league cup competition held in the 1980s, contested by professional clubs from Spain's top divisions.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55f415081908eec78cb2c956598 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090a95a908190a99e579e51cbeb4a completed April 28, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:42 p.m.