Triple

T16293197
Position Surface form Disambiguated ID Type / Status
Subject Le HAC E395576 entity
Predicate hasRival P1375 FINISHED
Object FC Rouen E395580 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: FC Rouen | Statement: [Le HAC, hasRival, FC Rouen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Rouen
Context triple: [Le HAC, hasRival, FC Rouen]
  • A. FC Rouen chosen
    FC Rouen is a historic French football club based in Rouen, Normandy, known for its traditional status and regional derbies in northern France.
  • B. Stade Rennais F.C.
    Stade Rennais F.C. is a professional French football club based in Rennes, Brittany, competing in Ligue 1 and known for its strong youth academy and passionate local support.
  • C. FC Nantes
    FC Nantes is a French professional football club based in Nantes, renowned for its successful history in Ligue 1 and its distinctive attacking style of play.
  • D. FC Lorient
    FC Lorient is a French professional football club based in the coastal city of Lorient, best known for competing in France’s top leagues and developing notable talent.
  • E. 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.
  • 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_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:05 a.m.