Triple

T9219440
Position Surface form Disambiguated ID Type / Status
Subject AS Saint-Étienne E221322 entity
Predicate notableRival P893 FINISHED
Object Olympique Lyonnais E78796 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: Olympique Lyonnais | Statement: [AS Saint-Étienne, notableRival, Olympique Lyonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympique Lyonnais
Context triple: [AS Saint-Étienne, notableRival, Olympique Lyonnais]
  • A. Olympique Lyonnais chosen
    Olympique Lyonnais is a prominent French professional football club based in Lyon, known for its domestic success and regular participation in European competitions.
  • B. Olympique de Marseille
    Olympique de Marseille is a major French professional football club based in Marseille, renowned for its passionate fanbase and as the only French team to have won the UEFA Champions League.
  • C. FC Lyon
    FC Lyon is a historic French football club based in Lyon, known as one of the country’s older sporting institutions.
  • D. LOSC Lille
    LOSC Lille is a professional French football club based in the Lille metropolitan area that competes in Ligue 1 and has won multiple national titles.
  • E. Parc Olympique Lyonnais
    Parc Olympique Lyonnais is a modern football stadium in Décines-Charpieu near Lyon, France, serving as a major venue for domestic and international sporting and entertainment events.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.