Triple
T38532131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillicoultry Glen |
E923393
|
entity |
| Predicate | hasNaturalBeautyDesignation |
P3788
|
FINISHED |
| Object | local scenic area |
—
|
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: local scenic area | Statement: [Tillicoultry Glen, hasNaturalBeautyDesignation, local scenic area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalBeautyDesignation Context triple: [Tillicoultry Glen, hasNaturalBeautyDesignation, local scenic area]
-
A.
hasNatureDesignation
chosen
Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
-
B.
hasNaturalHeritage
Indicates that one entity possesses, is associated with, or includes natural heritage features or values (such as landscapes, ecosystems, or natural sites) related to another entity.
-
C.
hasAreaOfOutstandingNaturalBeauty
Indicates that something is located within, or designated as, an Area of Outstanding Natural Beauty.
-
D.
hasWildAndScenicDesignation
Indicates that an area or waterway has been formally designated under a Wild and Scenic protection status.
-
E.
unescoDesignation
Indicates that an entity has been granted a specific designation or status by UNESCO.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
Created at: May 3, 2026, 4:32 p.m.