Triple
T24903068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFT |
E623630
|
entity |
| Predicate | associatedGrandSlam |
P27039
|
FINISHED |
| Object | French Open |
—
|
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: French Open | Statement: [FFT, associatedGrandSlam, French Open]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedGrandSlam Context triple: [FFT, associatedGrandSlam, French Open]
-
A.
otherGrandSlams
chosen
Indicates that an entity is associated with Grand Slam tournaments other than a primary or specifically referenced one.
-
B.
GrandSlams
Indicates that an entity has won or is associated with victories in major Grand Slam tournaments within a given sport.
-
C.
grandSlam
Indicates achieving a particularly comprehensive or dominant success, often by winning all major components or events within a defined set.
-
D.
grandSlamTournament
Indicates that the event is a Grand Slam–level tournament within a given sport’s major championship series.
-
E.
helpedWinGrandSlamsWith
Indicates that one entity significantly contributed to another entity’s victories in Grand Slam tournaments.
- F. None of above.
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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 18, 2026, 5:27 a.m.