Triple
T22623375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Trent Jones Golf Trail |
E558347
|
entity |
| Predicate | numberOfGolfHoles |
P8596
|
FINISHED |
| Object | 468 |
—
|
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: 468 | Statement: [Robert Trent Jones Golf Trail, numberOfGolfHoles, 468]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGolfHoles Context triple: [Robert Trent Jones Golf Trail, numberOfGolfHoles, 468]
-
A.
numberOfGolfCourses
Indicates the total count of golf courses associated with a given entity.
-
B.
numberOfHoles
chosen
Indicates the count of holes associated with or present in a given entity.
-
C.
numberIn1Kings18
Indicates that a specified number is the count or quantity referenced in the context of 1 Kings chapter 18.
-
D.
golfCoursePar
Indicates the standard number of strokes a skilled golfer is expected to take to complete a particular golf course or hole.
-
E.
estimatedHolesInOne
Indicates that a numerical estimate is being made of how many holes-in-one (aces) are expected to occur in a given golf context (such as for a player, round, event, or time period).
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3b97f8819082ea2b23ff4b2173 |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:01 p.m.