Triple
T17501774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Teignmouth |
E426206
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Teignmouth |
—
|
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: Teignmouth | Statement: [Port of Teignmouth, locatedIn, Teignmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teignmouth Context triple: [Port of Teignmouth, locatedIn, Teignmouth]
-
A.
Teignmouth
chosen
Teignmouth is a seaside town on the south coast of Devon, England, known for its historic port, sandy beaches, and scenic coastal railway views.
-
B.
Wadebridge
Wadebridge is a small market town and popular tourist base in north Cornwall, England, situated on the River Camel and known for its historic bridge and access to the Camel Trail.
-
C.
Torpoint
Torpoint is a small coastal town in southeast Cornwall, England, situated on the River Tamar opposite Plymouth and serving as a key local transport link via the Torpoint Ferry.
-
D.
Paignton
Paignton is a seaside town in Devon, England, known for its sandy beaches, traditional pier, and role as part of the English Riviera resort area.
-
E.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45212ea608190a3f225ba736cd754 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.