Triple
T21924839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxton, Norfolk, England |
E541415
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Buxton Mill |
—
|
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: Buxton Mill | Statement: [Buxton, Norfolk, England, hasFeature, Buxton Mill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buxton Mill Context triple: [Buxton, Norfolk, England, hasFeature, Buxton Mill]
-
A.
Buxton Mill
chosen
Buxton Mill is a historic watermill in Buxton, Norfolk, known for its traditional milling architecture and role in the village’s industrial heritage.
-
B.
Rossett Mill
Rossett Mill is a historic watermill in the village of Rossett, Wales, noted for its traditional architecture and role in the area’s industrial heritage.
-
C.
Litton Mill
Litton Mill is a historic former cotton mill and small settlement in Derbyshire, England, known for its industrial heritage and picturesque location in the Peak District.
-
D.
Buckland Mill
Buckland Mill is a historic gristmill in Buckland, Virginia, that once served as a key local industrial and commercial center for the surrounding rural community.
-
E.
Withers Mill
Withers Mill is a small unincorporated community located in the U.S. state of Missouri.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fa40c48190b80a85e562ea2591 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.