Triple
T21343544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A591 road |
E526265
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Windermere |
—
|
NE NERFINISHED |
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: Windermere | Statement: [A591 road, passesThrough, Windermere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windermere Context triple: [A591 road, passesThrough, Windermere]
-
A.
Windermere
Windermere is the largest natural lake in England and a popular tourist destination in the Lake District known for its scenic beauty and boating activities.
-
B.
Windermere
chosen
Windermere is a town in England’s Lake District, known for its proximity to Lake Windermere and its popularity as a tourist destination for outdoor and waterside activities.
-
C.
Windermere
Windermere is a small lakeside community in Ontario’s Muskoka region, known for its scenic waterfront, cottages, and resort atmosphere.
-
D.
Windermere
Windermere is a small lakeside community in Ontario’s Muskoka region, known for its scenic waterfront, cottages, and resort tourism.
-
E.
Lake Windermere
Lake Windermere is a long, scenic lake in southeastern British Columbia, Canada, popular for recreation and surrounded by mountain landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.