Triple
T28671013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Open |
E725717
|
entity |
| Predicate | awardsWTARankingPoints |
P174280
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wuhan Open, awardsWTARankingPoints, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsWTARankingPoints Context triple: [Wuhan Open, awardsWTARankingPoints, yes]
-
A.
rankingPointsAwardedBy
chosen
Indicates the number of ranking points granted by a particular source or authority to an entity.
-
B.
tournamentsAward
Indicates that a tournament grants or confers a specific award or prize to an entity.
-
C.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
D.
SkytraxRating
Indicates that an entity has been assigned a specific quality or performance rating according to the Skytrax airline and airport evaluation system.
-
E.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
- 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_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 5:03 a.m.