Triple

T15957655
Position Surface form Disambiguated ID Type / Status
Subject Club Sportif Sfaxien E386976 entity
Predicate rival P437 FINISHED
Object Club Africain 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 | Statement: [Club Sportif Sfaxien, rival, Club Africain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Africain
Context triple: [Club Sportif Sfaxien, rival, Club Africain]
  • 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. 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.
  • C. Étoile Sportive du Sahel
    Étoile Sportive du Sahel is a major Tunisian multi-sport club best known for its successful football team, which is one of the country’s most decorated and popular sides.
  • D. USM Alger
    USM Alger is a prominent professional football club based in Algiers, Algeria, known for its success in domestic and continental competitions.
  • E. 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.
  • 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_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff794c8508190a444af7ce968c5da completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:53 a.m.