Triple
T6793982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Evie |
E156004
|
entity |
| Predicate | isPartOfScenicArea |
P41742
|
FINISHED |
| Object | coastline between Evie and Aikerness |
—
|
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: coastline between Evie and Aikerness | Statement: [Bay of Evie, isPartOfScenicArea, coastline between Evie and Aikerness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfScenicArea Context triple: [Bay of Evie, isPartOfScenicArea, coastline between Evie and Aikerness]
-
A.
isPartOfScenicVista
chosen
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
B.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
-
C.
isPartOfTouristArea
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
-
D.
hasScenicValue
Indicates that something possesses notable aesthetic or visual appeal, often due to its natural beauty or pleasing surroundings.
-
E.
locatedInNationalCharacterArea
Indicates that one entity is geographically situated within the boundaries of a specified national character area.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.