Triple
T709752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbria |
E14179
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | County Durham |
E40394
|
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: County Durham | Statement: [Cumbria, borders, County Durham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County Durham Context triple: [Cumbria, borders, County Durham]
-
A.
County Durham
chosen
County Durham is a historic county in North East England known for its cathedral city of Durham, rich industrial heritage, and scenic dales.
-
B.
North Yorkshire
North Yorkshire is a large ceremonial county in northern England known for its expansive rural landscapes, including much of the Yorkshire Dales and North York Moors National Parks.
-
C.
Northumberland
Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
-
D.
Cumbria
Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
-
E.
Tyne and Wear
Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55b63988190837e71fcdf3e39a6 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d71a25c81908de9b9e59affb79f |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:36 p.m.