Triple
T14613746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Open |
E343026
|
entity |
| Predicate | drawSize |
P81899
|
FINISHED |
| Object | 96-player singles draw (ATP) |
—
|
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: 96-player singles draw (ATP) | Statement: [Miami Open, drawSize, 96-player singles draw (ATP)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawSize Context triple: [Miami Open, drawSize, 96-player singles draw (ATP)]
-
A.
drawSizeSingles
Indicates the size or dimensions used when drawing a single item or element in a visual or graphical context.
-
B.
typicalDrawSizeDoubles
chosen
Indicates that the usual or standard size of the draw in a doubles event (e.g., in a tournament) has a specified number of participating teams.
-
C.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
D.
setSize
Indicates assigning or changing the size or dimensions of an entity.
-
E.
romSize
Indicates the amount of read-only memory (ROM) associated with an entity, typically measured as its storage capacity.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.