Triple
T21975846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. J. Casson |
E542701
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coniston |
—
|
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: Coniston | Statement: [A. J. Casson, notableWork, Coniston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coniston Context triple: [A. J. Casson, notableWork, Coniston]
-
A.
Coniston
chosen
Coniston is a village in England’s Lake District that serves as a popular base for exploring the surrounding fells and nearby Coniston Water.
-
B.
Seathwaite
Seathwaite is a small hamlet in the Lake District of Cumbria, England, known as a popular starting point for walks and climbs in the surrounding fells.
-
C.
Wedgemere
Wedgemere is a commuter rail station in Winchester, Massachusetts, served by the MBTA on its Lowell Line.
-
D.
Bowness-on-Windermere
Bowness-on-Windermere is a popular tourist town on the shores of Lake Windermere in England’s Lake District, known for its lakeside attractions and boating.
-
E.
Coniston Round
Coniston Round is a popular circular hiking route in England’s Lake District that links several of the main summits of the Coniston Fells.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124886418819091daed0988432350 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.