Triple
T14856063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenodd |
E349352
|
entity |
| Predicate | constituencyWestminster |
P2710
|
FINISHED |
| Object | Barrow and Furness |
E813964
|
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: Barrow and Furness | Statement: [Greenodd, constituencyWestminster, Barrow and Furness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrow and Furness Context triple: [Greenodd, constituencyWestminster, Barrow and Furness]
-
A.
Barrow and Furness
chosen
Barrow and Furness is a UK parliamentary constituency in Cumbria that includes the industrial town of Barrow-in-Furness and surrounding areas.
-
B.
Furness
Furness is an English-origin surname borne by various notable figures, including scholars, architects, and public officials.
-
C.
Furness
Furness is a peninsula and historic region in Cumbria, England, known for its industrial heritage, coastal landscapes, and proximity to the Lake District.
-
D.
Barrow-in-Furness
Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
-
E.
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.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.