Triple

T24707202
Position Surface form Disambiguated ID Type / Status
Subject Figo E611924 entity
Predicate UEFAChampionsLeagueTitleCount P15090 FINISHED
Object 1 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: 1 | Statement: [Figo, UEFAChampionsLeagueTitleCount, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UEFAChampionsLeagueTitleCount
Context triple: [Figo, UEFAChampionsLeagueTitleCount, 1]
  • A. UEFAChampionsLeagueTitles chosen
    Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
  • B. UEFAEuropaLeagueTitles
    Indicates the number of UEFA Europa League championship titles an entity has won.
  • C. CAFChampionsLeagueTitle
    Indicates that an entity has won the CAF Champions League title.
  • D. numberOfTropheeDesChampionsTitles
    Indicates the number of Trophée des Champions titles that an entity has won.
  • E. UEFAChampionsLeagueTitlesAsManager
    Indicates the number of UEFA Champions League titles a person has won specifically in the role of team manager.
  • 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_69e2c4d9c24c8190a3712d74327f0c6e completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f422aee0408190899efe7e24ef2b40 completed May 1, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69f420e92cc88190a803aecdae78a051 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 3:24 a.m.