Triple
T15062943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quaker Ridge Golf Club |
E379676
|
entity |
| Predicate | hasFairwaySurface |
P44260
|
FINISHED |
| Object | bentgrass |
—
|
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: bentgrass | Statement: [Quaker Ridge Golf Club, hasFairwaySurface, bentgrass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFairwaySurface Context triple: [Quaker Ridge Golf Club, hasFairwaySurface, bentgrass]
-
A.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
-
B.
fairwayGrassType
chosen
Indicates the type or variety of grass used on a golf course fairway.
-
C.
hasWaterHazards
Indicates that the subject contains or is associated with one or more water-based obstacles or danger areas.
-
D.
outfieldSurface
Indicates the type or condition of the playing surface specifically in the outfield area of a sports field.
-
E.
hasCourtSurface
Indicates that something (such as a court or playing area) possesses a specific type of surface.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.