Triple

T3758737
Position Surface form Disambiguated ID Type / Status
Subject Espérance Sportive de Tunis E82110 entity
Predicate isOneOfMostDecoratedClubsIn P8327 FINISHED
Object African football 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: African football | Statement: [Espérance Sportive de Tunis, isOneOfMostDecoratedClubsIn, African football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOneOfMostDecoratedClubsIn
Context triple: [Espérance Sportive de Tunis, isOneOfMostDecoratedClubsIn, African football]
  • A. isOneOfMostSuccessfulClubsIn chosen
    Indicates that a club ranks among the most successful clubs within a specified group, region, or competition context.
  • B. isOneOfMostPopularClubsIn
    Indicates that a club ranks among the most popular clubs within a specified place or context.
  • C. isOneOfMostSuccessfulTeamsIn
    Indicates that a team ranks among the most successful teams within a specified group, context, or location.
  • D. 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.
  • E. isOneOfOldestClubsIn
    Indicates that a club ranks among the earliest-established clubs within a specified group, region, or organization.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc20b20819095fedf803aadc53a completed March 8, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.