Triple
T24021363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbasol Championship |
E594829
|
entity |
| Predicate | countsToward |
P135589
|
FINISHED |
| Object | PGA Tour money list |
—
|
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: PGA Tour money list | Statement: [Barbasol Championship, countsToward, PGA Tour money list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countsToward Context triple: [Barbasol Championship, countsToward, PGA Tour money list]
-
A.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
B.
isCountedAs
chosen
Indicates that one entity is treated or included as part of the tally, total, or quantitative assessment of another entity.
-
C.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
D.
alternativeCounting
Indicates that there exists another valid way of counting or enumerating the same set of items or events, distinct from the primary counting method.
-
E.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5aaf8588190b266557d573504b8 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:47 p.m.