Triple

T14002805
Position Surface form Disambiguated ID Type / Status
Subject Stade Jean-Bouin E336871 entity
Predicate tenant P75 FINISHED
Object Stade Français E65983 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: Stade Français | Statement: [Stade Jean-Bouin, tenant, Stade Français]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade Français
Context triple: [Stade Jean-Bouin, tenant, Stade Français]
  • A. Stade Français chosen
    Stade Français is a historic Parisian multi-sport club best known internationally for its top-tier professional rugby union team competing in France’s premier league.
  • B. Stade Toulousain
    Stade Toulousain is a French professional rugby union club based in Toulouse, renowned as one of Europe’s most successful and decorated rugby teams.
  • C. Racing 92 rugby union
    Racing 92 rugby union is a professional French rugby union club based in the Paris region that competes in the Top 14 and European competitions.
  • D. Biarritz Olympique
    Biarritz Olympique is a French professional rugby union club based in the coastal city of Biarritz, known for its strong history in domestic and European competitions.
  • E. USAP Perpignan
    USAP Perpignan is a professional rugby union club based in Perpignan, France, known for its strong tradition in French and European competitions.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:19 p.m.