Triple
T19693400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doral Open |
E472891
|
entity |
| Predicate | standardFieldSize |
P7759
|
FINISHED |
| Object | 144 players |
—
|
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: 144 players | Statement: [Doral Open, standardFieldSize, 144 players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardFieldSize Context triple: [Doral Open, standardFieldSize, 144 players]
-
A.
fieldSize
chosen
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
B.
standardSetSize
Indicates that there is a defined or typical number of elements that constitute the standard size for a given set.
-
C.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
D.
standardNumber
Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
-
E.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.