Triple
T15062942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quaker Ridge Golf Club |
E379676
|
entity |
| Predicate | hasGreenSurface |
P24953
|
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, hasGreenSurface, bentgrass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenSurface Context triple: [Quaker Ridge Golf Club, hasGreenSurface, bentgrass]
-
A.
isGreenSpaceFor
Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
-
B.
hasGreenType
chosen
Indicates that an entity possesses or is associated with a type classified as green.
-
C.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
D.
hasGreenSpaces
Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
-
E.
hasSurfaceBuilding
Indicates that one entity possesses or is associated with a building located on its 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.