Triple
T6543720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isle of May and Forth Islands Special Area of Conservation |
E168351
|
entity |
| Predicate | coastalComponent |
P5879
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Isle of May and Forth Islands Special Area of Conservation, coastalComponent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalComponent Context triple: [Isle of May and Forth Islands Special Area of Conservation, coastalComponent, yes]
-
A.
coastalInteraction
Indicates an interaction or relationship occurring between entities and a coastal environment, such as along shorelines or near the sea.
-
B.
coastType
Indicates the specific kind or classification of a coastline associated with a geographic area.
-
C.
containsCoastalFeature
chosen
Indicates that one entity geographically includes or encompasses a coastal feature (such as a beach, cliff, bay, or shoreline) within its area or boundaries.
-
D.
coastlineFeature
Indicates that a geographic entity is a specific type of feature located along or forming part of a coastline.
-
E.
coastalCluster
Indicates a grouping of entities that are located near or along the same coastal area or shoreline.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.