Triple

T19720672
Position Surface form Disambiguated ID Type / Status
Subject Waldemar Kita E473598 entity
Predicate employer P7 FINISHED
Object FC Nantes NE NERFINISHED

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 Nantes | Statement: [Waldemar Kita, employer, FC Nantes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Nantes
Context triple: [Waldemar Kita, employer, FC Nantes]
  • A. FC Nantes chosen
    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.
  • 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. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f483c481908c6b3114bf9c5934 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.