Triple
T9673308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton-in-Furness railway station |
E234082
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Furness |
E68334
|
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: Furness | Statement: [Dalton-in-Furness railway station, region, Furness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furness Context triple: [Dalton-in-Furness railway station, region, Furness]
-
A.
Furness Vale
Furness Vale is a small village in Derbyshire, England, situated in the High Peak area of the Peak District.
-
B.
Torpenhow
Torpenhow is a small village in the Allerdale district of Cumbria, England, known for its historic church and distinctive place-name.
-
C.
Durnford
Durnford is an English surname most notably associated with British military officer Colonel Anthony Durnford, who served in the 19th century.
-
D.
Workington
Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
-
E.
Furness Peninsula
chosen
Furness Peninsula is a coastal region in Cumbria, northwest England, known for its historic industrial towns, scenic landscapes, and position between Morecambe Bay and the Irish Sea.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6c05c481909885bfdb850e7527 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a2d030c8190ada52e855bc9afc8 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.