Triple
T1258041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenrothes Golf Course |
E12436
|
entity |
| Predicate | hasParType |
P24954
|
FINISHED |
| Object | full-length 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: full-length course | Statement: [Glenrothes Golf Course, hasParType, full-length course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParType Context triple: [Glenrothes Golf Course, hasParType, full-length course]
-
A.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
B.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfaa2b508190a3f61c67b3fa3ad4 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc4a1f048190bd1ddcc4cc3fe057 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:50 p.m.