Triple
T18638560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Nidd |
E455619
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hammerton |
—
|
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: Hammerton | Statement: [River Nidd, flowsThrough, Hammerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammerton Context triple: [River Nidd, flowsThrough, Hammerton]
-
A.
Hammerton
chosen
Hammerton is a village in North Yorkshire, England, served by a station on the Harrogate railway line between York and Leeds.
-
B.
Horbury
Horbury is a town in West Yorkshire, England, historically part of the Wakefield area and known for its industrial heritage and parish church.
-
C.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
-
D.
Hambleton
Hambleton is a largely rural district in North Yorkshire, England, known for its market towns and agricultural landscape.
-
E.
Tormarton
Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcac2d48190a15ce8cc8e175198 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.