Triple
T4492326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestavia Country Club |
E100606
|
entity |
| Predicate | golfCourseType |
P35587
|
FINISHED |
| Object | championship golf course |
—
|
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: championship golf course | Statement: [Vestavia Country Club, golfCourseType, championship golf course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: golfCourseType Context triple: [Vestavia Country Club, golfCourseType, championship golf course]
-
A.
golfCourseInstanceOf
chosen
Indicates that a particular golf course is an instance of a specified golf course type or class.
-
B.
hasGolfCourse
Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
-
C.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
-
D.
fairwayGrassType
Indicates the type or variety of grass used on a golf course fairway.
-
E.
numberOfGolfCourses
Indicates the total count of golf courses associated with a given 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd556f99b48190ae60506a35b43c29 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.