Triple
T6446725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Tour |
E138360
|
entity |
| Predicate | organizes |
P123
|
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: [European Tour, organizes, French Open]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Open Context triple: [European Tour, organizes, 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.
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.
Australian Open
The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
-
D.
Wimbledon
Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
-
E.
US Open (tennis)
The US Open (tennis) is one of the four Grand Slam tournaments, a major annual hard-court championship that attracts the world’s top professional players.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698edeac81909426902471d8a57b |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcd09e0819097eb60d13e8058dd |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:46 p.m.