Triple
T19417722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodmin Moor |
E485764
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | River Lynher |
—
|
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: River Lynher | Statement: [Bodmin Moor, contains, River Lynher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Lynher Context triple: [Bodmin Moor, contains, River Lynher]
-
A.
River Lynher
chosen
The River Lynher is a river in southeast Cornwall, England, that flows through rural valleys and tidal creeks before joining the Tamar estuary near Plymouth.
-
B.
River Whye
River Whye is a fictional river in Stephen King’s Dark Tower universe, flowing through the central realm known as Mid-World.
-
C.
River Torridge
River Torridge is a river in north Devon, England, known for flowing through towns like Great Torrington and Bideford before reaching the Bristol Channel.
-
D.
River Kenwyn
River Kenwyn is a small river in Truro, Cornwall, that flows through the city and contributes to its historic harbour and local landscape.
-
E.
River Banwell
River Banwell is a small river in Somerset, England, that flows through the village of Banwell before joining the River Axe.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.