Triple
T21288426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbria Way |
E524721
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Coniston to Great Langdale |
—
|
NE NERFINISHED |
How this triple was built (3 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: Coniston to Great Langdale | Statement: [Cumbria Way, hasSection, Coniston to Great Langdale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coniston to Great Langdale Context triple: [Cumbria Way, hasSection, Coniston to Great Langdale]
-
A.
Great Langdale
Great Langdale is a scenic glacial valley in England’s Lake District, renowned for its dramatic mountain scenery, hiking routes, and rock climbing.
-
B.
Helvellyn via Striding Edge
Helvellyn via Striding Edge is a famous and exposed ridge-walk route in England’s Lake District, renowned for its dramatic scrambling and panoramic mountain views.
-
C.
Grisedale valley
Grisedale valley is a scenic glacial valley in the Lake District of Cumbria, England, known for its rugged fells, walking routes, and classic upland landscapes.
-
D.
Coniston
Coniston is a village in England’s Lake District that serves as a popular base for exploring the surrounding fells and nearby Coniston Water.
-
E.
Coniston Fells
Coniston Fells is a rugged group of mountains in the Lake District of northwest England, known for peaks like the Old Man of Coniston and popular hiking and climbing routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coniston to Great Langdale Target entity description: Coniston to Great Langdale is a scenic walking stage in England’s Lake District, linking the village of Coniston with the Great Langdale valley through mountainous and lake-filled landscapes.
-
A.
Great Langdale
Great Langdale is a scenic glacial valley in England’s Lake District, renowned for its dramatic mountain scenery, hiking routes, and rock climbing.
-
B.
Helvellyn via Striding Edge
Helvellyn via Striding Edge is a famous and exposed ridge-walk route in England’s Lake District, renowned for its dramatic scrambling and panoramic mountain views.
-
C.
Grisedale valley
Grisedale valley is a scenic glacial valley in the Lake District of Cumbria, England, known for its rugged fells, walking routes, and classic upland landscapes.
-
D.
Coniston
Coniston is a village in England’s Lake District that serves as a popular base for exploring the surrounding fells and nearby Coniston Water.
-
E.
Coniston Fells
Coniston Fells is a rugged group of mountains in the Lake District of northwest England, known for peaks like the Old Man of Coniston and popular hiking and climbing routes.
- F. None of above. chosen
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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.