Triple

T6614663
Position Surface form Disambiguated ID Type / Status
Subject Segunda División E149318 entity
Predicate sponsorshipName P15097 FINISHED
Object LaLiga Hypermotion E601035 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: LaLiga Hypermotion | Statement: [Segunda División, sponsorshipName, LaLiga Hypermotion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaLiga Hypermotion
Context triple: [Segunda División, sponsorshipName, LaLiga Hypermotion]
  • A. LaLiga Hypermotion chosen
    LaLiga Hypermotion is Spain’s second-highest professional football league, sitting directly below LaLiga in the national league system.
  • B. Liga Adelante
    Liga Adelante was the sponsored name of Spain’s second-tier professional football league, officially known as the Segunda División.
  • C. Liga
    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.
  • D. La Stupenda
    La Stupenda is the celebrated nickname of Australian operatic soprano Joan Sutherland, renowned for her extraordinary vocal range and bel canto technique.
  • E. Entrecampos
    Entrecampos is a central Lisbon neighborhood and transport hub known for its major train station, metro connections, and mix of residential, commercial, and university-related buildings.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af569ecc8190a9526decc745f0a0 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e443df8c8190b52ecac5a7e9fb09 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.