Triple
T22345102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askernish Golf Club |
E552370
|
entity |
| Predicate | followsCourseManagementApproach |
P147861
|
FINISHED |
| Object | low-input maintenance |
—
|
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: low-input maintenance | Statement: [Askernish Golf Club, followsCourseManagementApproach, low-input maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCourseManagementApproach Context triple: [Askernish Golf Club, followsCourseManagementApproach, low-input maintenance]
-
A.
followsCourse
Indicates that one entity (typically a person or student) is enrolled in and actively attending or studying a particular course.
-
B.
onCourse
Indicates that one entity is currently enrolled in, participating in, or following a particular course.
-
C.
courseUse
Indicates that a course employs, incorporates, or makes use of a particular resource, tool, or material in its instruction or structure.
-
D.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
-
E.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
- F. None of above. chosen
Provenance (4 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157975db481909db65ff4d8505bbd |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.