Triple

T22285463
Position Surface form Disambiguated ID Type / Status
Subject Aéro-Club de France E550848 entity
Predicate hasNotableMember P304 FINISHED
Object Roland Garros 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: Roland Garros | Statement: [Aéro-Club de France, hasNotableMember, Roland Garros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Garros
Context triple: [Aéro-Club de France, hasNotableMember, Roland Garros]
  • A. Roland Garros chosen
    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.
  • B. 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.
  • C. Tête Pelouse
    Tête Pelouse is a prominent mountain summit in the French Alps, forming part of the Aravis Range and popular with hikers and ski tourers.
  • D. Tournefeuille
    Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
  • 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 (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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15606948c81909ebaa5ea106d2b7a completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.