Triple
T1481755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Derwent (Derbyshire) |
E30971
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bamford |
E132908
|
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: Bamford | Statement: [River Derwent (Derbyshire), flowsThrough, Bamford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamford Context triple: [River Derwent (Derbyshire), flowsThrough, Bamford]
-
A.
Bamford
chosen
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
-
B.
Bamford
Bamford is a suburban residential area and ward within the town of Rochdale in Greater Manchester, England.
-
C.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
-
D.
Ravenshead
Ravenshead is a village in Nottinghamshire, England, known for its proximity to the historic Newstead Abbey, former home of poet Lord Byron.
-
E.
Midgley
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad232d039c8190840719485e214bfc |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 1, 2026, 8:11 p.m.