Triple

T20264232
Position Surface form Disambiguated ID Type / Status
Subject Ricardo Costa E498921 entity
Predicate seniorClub P28388 FINISHED
Object Lille OSC NE NERFINISHED

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: Lille OSC | Statement: [Ricardo Costa, seniorClub, Lille OSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lille OSC
Context triple: [Ricardo Costa, seniorClub, Lille OSC]
  • A. Lille OSC chosen
    Lille OSC is a professional French football club based in Lille that competes in Ligue 1 and has won multiple domestic titles.
  • B. 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.
  • C. 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.
  • D. Valenciennes FC
    Valenciennes FC is a French professional football club based in the city of Valenciennes that has spent much of its history competing in the country’s top two divisions.
  • E. Amiens SC
    Amiens SC is a French professional football club based in the city of Amiens, known for competing in the country’s football league system and representing the Picardy region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ce27688190b31d7a6c98d3ec5e completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.