Triple
T342447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Course at St Andrews |
E6864
|
entity |
| Predicate | sharedGreensHolesCount |
P8599
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Old Course at St Andrews, sharedGreensHolesCount, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedGreensHolesCount Context triple: [Old Course at St Andrews, sharedGreensHolesCount, 14]
-
A.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
-
B.
hasGolfCourse
Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
-
C.
numberOfCommonsSeats
Indicates the number of seats an entity holds or is allocated in the House of Commons.
-
D.
hasHoleCount
chosen
Indicates that an entity possesses a specified number of holes.
-
E.
upperDeckLanes
Indicates that the related entities are lanes located on the upper deck level of a multi-level structure (such as a roadway, bridge, or parking facility).
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eafef8c88190a5932eb2c6ac4a5d |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95197fc8190820e8ebd0d7d27fa |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.