Triple

T20514292
Position Surface form Disambiguated ID Type / Status
Subject Liga E503643 entity
Predicate hasNameInSpanish P12773 FINISHED
Object 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: Liga | Statement: [Liga, hasNameInSpanish, Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga
Context triple: [Liga, hasNameInSpanish, Liga]
  • A. Liga chosen
    Liga is the Spanish name commonly used to refer to the Catholic League, a powerful alliance of Catholic states formed during the French Wars of Religion to oppose Protestant influence.
  • B. I liga
    I liga is the second-highest tier of professional football in the Polish league system, sitting just below the Ekstraklasa.
  • C. Liguilla
    Liguilla is the postseason playoff phase of Mexico’s top-flight football league, Liga MX, in which the season’s champion is decided.
  • D. Ligatne
    Ligatne is a small town in Latvia known for its scenic location within the Gauja National Park and its historic paper mill heritage.
  • E. Chance Liga
    Chance Liga is the second-highest professional ice hockey league in the Czech Republic, sitting just below the top-tier Extraliga.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f4066908190a94724697fb8cdcb completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.