Triple

T23364764
Position Surface form Disambiguated ID Type / Status
Subject Men in Blue E593283 entity
Predicate asiaCupTitleHolder P57825 FINISHED
Object multiple times 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: multiple times | Statement: [Men in Blue, asiaCupTitleHolder, multiple times]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: asiaCupTitleHolder
Context triple: [Men in Blue, asiaCupTitleHolder, multiple times]
  • A. asiaCupWinner chosen
    Indicates that one entity is the champion or winning team of the Asia Cup tournament in a given edition or year.
  • B. asiaCupBestPerformance
    Indicates the best result or highest achievement an entity has attained in the Asia Cup competition.
  • C. AsianChampionshipTitles
    Indicates the number of championship titles an entity has won in Asian-level competitions or tournaments.
  • D. wonAsianCupWinnersCup
    Indicates that one entity (typically a sports team or club) has won the Asian Cup Winners' Cup competition.
  • E. AsiaCupDebut
    Indicates the event or moment when an entity first participates in or appears in the Asia Cup competition.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ab7fc481908b496ec9b543eddd completed April 29, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69f061c7aaa48190a58ce93f87155ffc completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:31 p.m.