Triple

T14390801
Position Surface form Disambiguated ID Type / Status
Subject Racing Club de Strasbourg Alsace E356836 entity
Predicate nickname P55 FINISHED
Object Le Racing E338256 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: Le Racing | Statement: [Racing Club de Strasbourg Alsace, nickname, Le Racing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Racing
Context triple: [Racing Club de Strasbourg Alsace, nickname, Le Racing]
  • A. Le Racing chosen
    Le Racing is the popular nickname of RC Strasbourg Alsace, a historic French football club based in Strasbourg.
  • B. Les Coches
    Les Coches is a purpose-built ski village in the French Alps that forms part of the larger La Plagne ski resort within the Paradiski area.
  • C. Union Corse
    Union Corse is a fictional powerful Corsican crime syndicate featured in the James Bond series, notably connected to Tracy di Vicenzo and her father Marc-Ange Draco.
  • D. Tribune Leclerc
    Tribune Leclerc is a spectator stand at the Stade de l’Abbé-Deschamps football stadium in Auxerre, France.
  • E. Champs-Lambert
    Champs-Lambert is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9029ef048190bdda5ee41618e720 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.