Triple
T28693078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Open mixed doubles |
E729337
|
entity |
| Predicate | rankingPointsAwardedBy |
P174280
|
FINISHED |
| Object | WTA |
—
|
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: WTA | Statement: [US Open mixed doubles, rankingPointsAwardedBy, WTA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPointsAwardedBy Context triple: [US Open mixed doubles, rankingPointsAwardedBy, WTA]
-
A.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
B.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
C.
rankingPointsRange
Indicates the range of ranking points assigned or applicable to an entity within a ranking or scoring system.
-
D.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
E.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
- F. None of above. chosen
Provenance (4 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 5:37 a.m.