Triple
T17691698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Exe |
E441042
|
entity |
| Predicate | sourceLocation |
P40
|
FINISHED |
| Object | Exmoor |
—
|
NE NERFINISHED |
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: Exmoor | Statement: [River Exe, sourceLocation, Exmoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exmoor Context triple: [River Exe, sourceLocation, Exmoor]
-
A.
Exmoor
chosen
Exmoor is a moorland and national park in southwest England known for its dramatic coastal cliffs, open heaths, and wild ponies.
-
B.
Sedgemoor
Sedgemoor is a low-lying, historically marshy district in Somerset, England, known for its agricultural landscape and as the site of the 1685 Battle of Sedgemoor.
-
C.
Bodmin Moor
Bodmin Moor is a remote granite upland in northeastern Cornwall, England, known for its rugged landscape, prehistoric archaeological sites, and rich folklore.
-
D.
Exmoor coast
Exmoor coast is a dramatic stretch of coastline in southwest England known for its high sea cliffs, moorland scenery, and rich wildlife within Exmoor National Park.
-
E.
South Dorset
South Dorset is a UK parliamentary constituency in the county of Dorset, represented in the House of Commons and covering coastal and rural communities including towns such as Weymouth and Portland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47152306c819086d483d87348db5d |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.