Triple

T21975228
Position Surface form Disambiguated ID Type / Status
Subject UEFA Champions League Final 2009 E542687 entity
Predicate barcelonaChampionsLeagueTitlesAfterMatch P146120 FINISHED
Object 3 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: 3 | Statement: [UEFA Champions League Final 2009, barcelonaChampionsLeagueTitlesAfterMatch, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: barcelonaChampionsLeagueTitlesAfterMatch
Context triple: [UEFA Champions League Final 2009, barcelonaChampionsLeagueTitlesAfterMatch, 3]
  • A. numberOfLaLigaTitlesWithBarcelona
    Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
  • B. realMadridChampionsLeagueTitlesTotalAfterMatch
    Indicates the total number of UEFA Champions League titles Real Madrid has won after the specified match has been played.
  • C. championsLeagueTitlesWithBarcelonaAsManager
    Indicates the number of UEFA Champions League titles a person has won specifically while serving as the manager of FC Barcelona.
  • D. CopaDelReyTitles
    Indicates the number of Copa del Rey championship titles an entity has won.
  • E. leagueTitlesWithBarcelonaAsManager
    Indicates the number of league titles a person has won while serving as the manager of Barcelona.
  • F. None of above. chosen

Provenance (4 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12487a1a88190abb8a51fcd533b6a completed April 28, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69e6f6154e408190acc5b2c278acaff4 completed April 21, 2026, 3:59 a.m.
PDg Predicate description generation batch_69e6fad4a540819096cdd5ea08527220 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 8:03 p.m.