Triple

T15962764
Position Surface form Disambiguated ID Type / Status
Subject Club Africain E387102 entity
Predicate fullName P16 FINISHED
Object Club Africain de Tunis E83230 NE 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: Club Africain de Tunis | Statement: [Club Africain, fullName, Club Africain de Tunis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Africain de Tunis
Context triple: [Club Africain, fullName, Club Africain de Tunis]
  • A. Club Africain chosen
    Club Africain is a prominent Tunisian multi-sport club best known for its successful football team and large fan base.
  • B. Espérance Sportive de Tunis
    Espérance Sportive de Tunis is a prominent Tunisian multi-sport club best known for its highly successful football team, one of the most decorated in African and Arab competitions.
  • C. Stade Tunisien
    Stade Tunisien is a historic Tunisian football club based in Tunis, known for competing in the country’s top professional league and for its strong local fan base.
  • D. Mouloudia Club d'Alger
    Mouloudia Club d'Alger is a prominent Algerian multi-sport club best known for its successful football team based in Algiers.
  • E. USM Alger
    USM Alger is a prominent professional football club based in Algiers, Algeria, known for its success in domestic and continental competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157013cfc819099fa83de85273710 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00077a54c88190ab94a558bfaecf2f completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:53 a.m.