Triple
T21691118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medinah Country Club |
E535370
|
entity |
| Predicate | course3Par |
P68172
|
FINISHED |
| Object | 72 |
—
|
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: 72 | Statement: [Medinah Country Club, course3Par, 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: course3Par Context triple: [Medinah Country Club, course3Par, 72]
-
A.
coursePar
Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
-
B.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
C.
hasPar3Course
chosen
Indicates that an entity (such as a golf facility or location) includes or is associated with a par-3 golf course.
-
D.
onCourse
Indicates that one entity is currently enrolled in, participating in, or following a particular course.
-
E.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cfaab08190b400e1538afc8c43 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.