Triple
T24664403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lochranza Golf Course |
E610629
|
entity |
| Predicate | landscapeView |
P156938
|
FINISHED |
| Object | hills of Arran |
—
|
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: hills of Arran | Statement: [Lochranza Golf Course, landscapeView, hills of Arran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landscapeView Context triple: [Lochranza Golf Course, landscapeView, hills of Arran]
-
A.
landscapeStyle
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
B.
landscapeValue
Indicates the assessed aesthetic, cultural, or ecological worth attributed to a particular landscape or scenery.
-
C.
landscapeEffect
Indicates how a particular landscape or terrain influences or modifies the outcome, behavior, or characteristics of another entity or process.
-
D.
landscapeAbstraction
Indicates that one entity is an abstract or non-literal representation derived from the landscape or its features.
-
E.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:34 a.m.