Triple
T22890443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meal Fell |
E568023
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Caldbeck |
—
|
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: Caldbeck | Statement: [Meal Fell, nearbySettlement, Caldbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caldbeck Context triple: [Meal Fell, nearbySettlement, Caldbeck]
-
A.
Caldbeck
chosen
Caldbeck is a picturesque village in Cumbria, England, on the edge of the Lake District, known for its historic mining heritage and scenic rural surroundings.
-
B.
Castlederg
Castlederg is a small town in western Northern Ireland known for its historic ruins, riverside setting, and role as a local market and service center.
-
C.
Arkengarthdale
Arkengarthdale is a remote, scenic valley in North Yorkshire, England, known for its rugged moorland landscapes, historic lead-mining heritage, and traditional stone-built villages.
-
D.
Teesdale
Teesdale is a scenic valley in northern England known for its rugged landscapes, the River Tees, and notable waterfalls such as High Force.
-
E.
Hebden Dale
Hebden Dale is a scenic wooded valley in the Yorkshire Dales, England, known for its riverside walks, historic industrial remains, and picturesque landscapes.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.