Triple
T22735063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easingwold Rural District |
E562244
|
entity |
| Predicate | containedSettlement |
P16159
|
FINISHED |
| Object | Easingwold |
—
|
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: Easingwold | Statement: [Easingwold Rural District, containedSettlement, Easingwold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easingwold Context triple: [Easingwold Rural District, containedSettlement, Easingwold]
-
A.
Easingwold
chosen
Easingwold is a small market town in North Yorkshire, England, known for its historic square and rural surroundings.
-
B.
Burton on the Wolds
Burton on the Wolds is a small rural village in Leicestershire, England, situated in the Charnwood district near the town of Loughborough.
-
C.
Broxtowe
Broxtowe is a local government district and borough in Nottinghamshire, England, encompassing suburban towns and villages to the west of Nottingham.
-
D.
Kildwick
Kildwick is a small historic village in North Yorkshire, England, situated near the River Aire and known for its ancient church and scenic rural setting.
-
E.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796f030881908e141564d442bd1b |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.