Triple
T7135991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A361 |
E166307
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Exmoor |
E283623
|
NE 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: Exmoor | Statement: [A361, passesNear, Exmoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exmoor Context triple: [A361, passesNear, 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.
Bodmin Moor
Bodmin Moor is a remote granite upland in northeastern Cornwall, England, known for its rugged landscape, prehistoric archaeological sites, and rich folklore.
-
C.
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.
-
D.
North Dorset
North Dorset is a UK parliamentary constituency in the county of Dorset, represented in the House of Commons and covering a largely rural area including towns such as Blandford Forum.
-
E.
Devon
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad90bdd881908430ee9f7aa4f9ac |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:45 p.m.