Triple

T14556583
Position Surface form Disambiguated ID Type / Status
Subject Sétif E341555 entity
Predicate hasFootballClub P346 FINISHED
Object ES Sétif E958635 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: ES Sétif | Statement: [Sétif, hasFootballClub, ES Sétif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ES Sétif
Context triple: [Sétif, hasFootballClub, ES Sétif]
  • A. ES Sétif chosen
    ES Sétif is a prominent Algerian football club known for its domestic league titles and strong performances in African continental competitions.
  • B. 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.
  • C. USM Alger
    USM Alger is a prominent professional football club based in Algiers, Algeria, known for its success in domestic and continental competitions.
  • D. USM Casablanca
    USM Casablanca is a Moroccan football club based in Casablanca, historically known for competing in the national leagues and for having notable players such as Just Fontaine.
  • E. 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.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.