Triple

T12580302
Position Surface form Disambiguated ID Type / Status
Subject Rémy Cabella E300316 entity
Predicate hasPlayedFor P2170 FINISHED
Object LOSC Lille E623043 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: LOSC Lille | Statement: [Rémy Cabella, hasPlayedFor, LOSC Lille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOSC Lille
Context triple: [Rémy Cabella, hasPlayedFor, LOSC Lille]
  • A. LOSC Lille chosen
    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.
  • B. Olympique Lyonnais
    Olympique Lyonnais is a prominent French professional football club based in Lyon, known for its domestic success and regular participation in European competitions.
  • 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. Racing Club de Lens
    Racing Club de Lens is a French professional football club based in the northern city of Lens, known for its passionate fanbase and distinctive red-and-gold colors.
  • E. FC Metz
    FC Metz is a French professional football club based in Metz, known for competing in Ligue 1 and for its intense regional rivalry with RC Strasbourg Alsace.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee6798c8190b2b47082cf0c32fb completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 5:01 p.m.