Triple

T16273759
Position Surface form Disambiguated ID Type / Status
Subject canton of Tournefeuille E395070 entity
Predicate administrativeCenter P1474 FINISHED
Object Tournefeuille E85343 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: Tournefeuille | Statement: [canton of Tournefeuille, administrativeCenter, Tournefeuille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tournefeuille
Context triple: [canton of Tournefeuille, administrativeCenter, Tournefeuille]
  • A. Tournefeuille chosen
    Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
  • B. Roland Garros
    Roland Garros was a pioneering French aviator and World War I fighter pilot, best known for his early long-distance flights and for helping develop forward-firing machine guns on aircraft.
  • C. Stade Roland Garros
    Stade Roland Garros is a famous Parisian tennis complex best known as the venue for the French Open, one of the four Grand Slam tournaments.
  • D. Babolat
    Babolat is a French sports equipment company best known for its high-performance tennis racquets and strings used by many top professional players.
  • E. French Open
    The French Open is one of tennis's four major Grand Slam tournaments, renowned for its clay courts and held annually at Roland Garros in Paris.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025fb88488190a2979c75fba67b9d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:05 a.m.