Triple

T218367
Position Surface form Disambiguated ID Type / Status
Subject Sir Alex Ferguson E4157 entity
Predicate championsLeagueTitlesWonWithManchesterUnited P6867 FINISHED
Object 2 UEFA Champions League titles LITERAL 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: 2 UEFA Champions League titles | Statement: [Sir Alex Ferguson, championsLeagueTitlesWonWithManchesterUnited, 2 UEFA Champions League titles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: championsLeagueTitlesWonWithManchesterUnited
Context triple: [Sir Alex Ferguson, championsLeagueTitlesWonWithManchesterUnited, 2 UEFA Champions League titles]
  • A. championLeague
    Indicates that an entity has won or holds the championship title in a particular league or competitive event.
  • B. hasChampionships
    Indicates that one entity possesses or has won one or more championships associated with another entity.
  • C. mostSuccessfulClub
    Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
  • D. championshipWonAsCoach
    Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
  • E. wonAsManager chosen
    Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
  • F. None of above.

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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5199d8819096736c11077adec3 completed Feb. 28, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69a25b5357bc8190b29a48e3053fb76d completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.