Triple
T18558761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A368 road |
E453574
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | village of Blagdon |
—
|
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: village of Blagdon | Statement: [A368 road, runsThrough, village of Blagdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: village of Blagdon Context triple: [A368 road, runsThrough, village of Blagdon]
-
A.
Blagdon
chosen
Blagdon is a rural village in North Somerset, England, known for its proximity to Blagdon Lake and the Mendip Hills.
-
B.
Nether Stowey
Nether Stowey is a historic village in Somerset, England, known for its association with the poet Samuel Taylor Coleridge and its location near the Quantock Hills.
-
C.
Chagford
Chagford is a historic market town on the northeastern edge of Dartmoor in Devon, England, known for its former importance in the tin-mining industry and its picturesque rural setting.
-
D.
Broad Blunsdon
Broad Blunsdon is a small rural hamlet in Wiltshire, England, situated near the village of Sevenhampton.
-
E.
Glympton
Glympton is a small rural village in Oxfordshire, England, known for its historic manor and traditional English countryside setting.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53808c3fc8190aac38b29296cee13 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:41 a.m.