Triple
T217672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Eden (part) |
E4142
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cumbria |
E14179
|
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: Cumbria | Statement: [River Eden (part), locatedIn, Cumbria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumbria Context triple: [River Eden (part), locatedIn, Cumbria]
-
A.
Cumbria
chosen
Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
-
B.
Lancashire
Lancashire is a historic county in North West England known for its role in the Industrial Revolution and major towns such as Lancaster, Preston, and Blackpool.
-
C.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
D.
Cheshire
Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
-
E.
Derbyshire
Derbyshire is a county in the East Midlands of England known for its rural landscapes, historic market towns, and much of the Peak District National Park.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5062e48190833be10e4770e1e9 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389a9bb7c81909b60569e4c6074fb |
completed | March 1, 2026, 12:34 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.