Triple

T16290725
Position Surface form Disambiguated ID Type / Status
Subject USAP E395513 entity
Predicate hasRivalryWith P893 FINISHED
Object Montpellier Hérault Rugby E396485 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: Montpellier Hérault Rugby | Statement: [USAP, hasRivalryWith, Montpellier Hérault Rugby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montpellier Hérault Rugby
Context triple: [USAP, hasRivalryWith, Montpellier Hérault Rugby]
  • A. Montpellier Hérault Rugby chosen
    Montpellier Hérault Rugby is a professional French rugby union club based in Montpellier that competes in the country’s top division, the Top 14.
  • B. CS Meyzieu Rugby
    CS Meyzieu Rugby is a French rugby union club based in Meyzieu that competes in the national amateur leagues.
  • C. 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.
  • D. 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.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2491821d0819086cffdd7551ba85a completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da268b881908f17980c48d44419 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.