Triple
T14576021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowood Lake |
E342051
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Calne |
E346478
|
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: Calne | Statement: [Bowood Lake, locatedNear, Calne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calne Context triple: [Bowood Lake, locatedNear, Calne]
-
A.
Calne
chosen
Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
-
B.
Swindon
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
C.
Yate
Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
-
D.
Melksham
Melksham is a market town in western Wiltshire, England, situated on the River Avon and known historically for its woollen industry and later manufacturing.
-
E.
Cirencester
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b5d97481908b2d3d531817a3a6 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:24 a.m.