Triple
T28671010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Open |
E725717
|
entity |
| Predicate | levelRelativeToGrandSlams |
P158136
|
FINISHED |
| Object | below Grand Slam |
—
|
LITERAL 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: below Grand Slam | Statement: [Wuhan Open, levelRelativeToGrandSlams, below Grand Slam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelRelativeToGrandSlams Context triple: [Wuhan Open, levelRelativeToGrandSlams, below Grand Slam]
-
A.
tourLevelComparedToGrandSlams
chosen
Indicates how the competitive or organizational level of a given tennis tour or tournament compares relative to the Grand Slam tournaments.
-
B.
relationToGrandSlams
Indicates the relationship an entity has to Grand Slam tournaments, such as participation, performance, or achievement within them.
-
C.
GrandSlams
Indicates that an entity has won or is associated with victories in major Grand Slam tournaments within a given sport.
-
D.
otherGrandSlams
Indicates that an entity is associated with Grand Slam tournaments other than a primary or specifically referenced one.
-
E.
tierRelativeToATP1000
Indicates the relative ranking or tier of something when compared to the ATP 1000 tournament level.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f656309dac8190b9b15e9fdb662950 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:03 a.m.