Triple
T14160313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevens Park Golf Course |
E350918
|
entity |
| Predicate | hasFairwaysGrass |
P44260
|
FINISHED |
| Object | Bermuda grass |
—
|
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: Bermuda grass | Statement: [Stevens Park Golf Course, hasFairwaysGrass, Bermuda grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFairwaysGrass Context triple: [Stevens Park Golf Course, hasFairwaysGrass, Bermuda grass]
-
A.
fairwayGrassType
chosen
Indicates the type or variety of grass used on a golf course fairway.
-
B.
hasGrassTypeGreens
Indicates that something possesses or includes green vegetation or grassy plant material.
-
C.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
-
D.
hasInnerTurfCourse
Indicates that something (typically a race track or stadium) possesses an inner turf course located within its main track or field.
-
E.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:59 a.m.