Triple
T7214597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrose Links |
E149498
|
entity |
| Predicate | isSeasideCourse |
P63356
|
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: [Montrose Links, isSeasideCourse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeasideCourse Context triple: [Montrose Links, isSeasideCourse, true]
-
A.
isSeasideResort
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
B.
hasSeasideSetting
chosen
Indicates that something is situated in, near, or directly overlooking the sea or seashore.
-
C.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
D.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
-
E.
hasPar3Course
Indicates that an entity (such as a golf facility or location) includes or is associated with a par-3 golf course.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98cbebc8190941e76259c988790 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.