Triple
T23323160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musselburgh Old Course |
E591211
|
entity |
| Predicate | allowsHickoryGolf |
P151871
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Musselburgh Old Course, allowsHickoryGolf, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsHickoryGolf Context triple: [Musselburgh Old Course, allowsHickoryGolf, true]
-
A.
hasGolfCourse
Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
-
B.
golfCourseUse
Indicates that an entity is used as a golf course or for playing golf.
-
C.
countryClubSetting
Indicates a setting or context that takes place within or is characteristic of a country club environment.
-
D.
golfCourseOpened
Indicates that a golf course has begun operations or was officially opened on a particular date or in a particular context.
-
E.
hasGolfDestination
Indicates that one entity serves as a golf-related destination or location for another entity.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978731b0819090f92ef768f2a749 |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.