Triple
T9161464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Kenwyn |
E219832
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | River Kenwyn |
E219832
|
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: River Kenwyn | Statement: [River Kenwyn, hasName, River Kenwyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Kenwyn Context triple: [River Kenwyn, hasName, River Kenwyn]
-
A.
River Kenwyn
chosen
River Kenwyn is a small river in Truro, Cornwall, that flows through the city and contributes to its historic harbour and local landscape.
-
B.
River Kenwater
River Kenwater is a small river in Herefordshire, England, that flows through the market town of Leominster and forms part of the local River Lugg catchment.
-
C.
River Whye
River Whye is a fictional river in Stephen King’s Dark Tower universe, flowing through the central realm known as Mid-World.
-
D.
River Lynher
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.
-
E.
River Kinder
The River Kinder is a small moorland river in the Peak District of England, known for its dramatic Kinder Downfall waterfall and rugged upland scenery.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0547073cc8190999fe640c7ccd373 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.