Triple

T15922259
Position Surface form Disambiguated ID Type / Status
Subject Open de France E386120 entity
Predicate alsoKnownAs P39 FINISHED
Object French Open E158003 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: French Open | Statement: [Open de France, alsoKnownAs, French Open]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Open
Context triple: [Open de France, alsoKnownAs, French Open]
  • A. French Open chosen
    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.
  • 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. Italian Open
    The Italian Open is a professional golf tournament held in Italy that forms part of the European Tour schedule.
  • D. Italian Open
    The Italian Open is a prestigious professional tennis tournament held annually in Rome, featuring top men’s and women’s players on outdoor clay courts as a key lead-up to the French Open.
  • E. Madrid Open
    The Madrid Open is a premier professional tennis tournament held annually in Madrid, Spain, featuring both ATP and WTA tours on outdoor clay courts.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156825b1881908477ec93cc7b5f02 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.