Triple

T6685572
Position Surface form Disambiguated ID Type / Status
Subject Petr Čech E152091 entity
Predicate playedForClub P2168 FINISHED
Object Rennes FC E296307 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: Rennes FC | Statement: [Petr Čech, playedForClub, Rennes FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rennes FC
Context triple: [Petr Čech, playedForClub, Rennes FC]
  • A. Stade Rennais F.C. chosen
    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.
  • B. 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.
  • C. FC Rouen
    FC Rouen is a historic French football club based in Rouen, Normandy, known for its traditional status and regional derbies in northern France.
  • D. Toulouse FC
    Toulouse FC is a French professional football club based in Toulouse that competes in Ligue 1 and is known for its strong youth development and competitive presence in French football.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af0c0e4819094c89193a222a6c9 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:04 p.m.