Triple

T4179774
Position Surface form Disambiguated ID Type / Status
Subject Stade Toulousain E86565 entity
Predicate notableRival P893 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 Toulousain, notableRival, Stade Français]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade Français
Context triple: [Stade Toulousain, notableRival, 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. USAP Perpignan
    USAP Perpignan is a professional rugby union club based in Perpignan, France, known for its strong tradition in French and European competitions.
  • E. Montpellier Hérault Rugby
    Montpellier Hérault Rugby is a professional French rugby union club based in Montpellier that competes in the country’s top division, the Top 14.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0302972c819082f6e1938ed417c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f5864881909c9fc787dd9b2341 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.