Triple
T21056632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brindley Mill |
E518731
|
entity |
| Predicate | hasWaterSource |
P26275
|
FINISHED |
| Object | River Churnet |
—
|
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 Churnet | Statement: [Brindley Mill, hasWaterSource, River Churnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Churnet Context triple: [Brindley Mill, hasWaterSource, River Churnet]
-
A.
River Churnet
chosen
The River Churnet is a river in Staffordshire, England, known for flowing through the Churnet Valley and its association with former industrial sites and scenic countryside.
-
B.
River Gavenny
River Gavenny is a small river in Monmouthshire, Wales, that flows through the Abergavenny area before joining the River Usk.
-
C.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
-
D.
Mylva River
The Mylva River is a lesser-known watercourse in Russia that feeds into the larger Vychegda River within the Northern Dvina basin.
-
E.
Breg River
The Breg River is a headstream of the Danube in Germany’s Black Forest, known as one of the two main source rivers that form the Danube.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7fc5c48190bdc4d75ab6a529a3 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:37 p.m.