Triple
T17563319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary’s Church, Painswick |
E427745
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Painswick |
—
|
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: Painswick | Statement: [St Mary’s Church, Painswick, locatedIn, Painswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Painswick Context triple: [St Mary’s Church, Painswick, locatedIn, Painswick]
-
A.
Painswick
chosen
Painswick is a historic wool town in Gloucestershire, England, famed for its picturesque stone architecture and yew-lined churchyard in the heart of the Cotswolds.
-
B.
Giggleswick
Giggleswick is a historic village in North Yorkshire, England, known for its picturesque setting near Settle and its renowned independent school, Giggleswick School.
-
C.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
D.
Nailsworth
Nailsworth is a small market town in Gloucestershire, England, known for its Cotswold setting and independent shops and eateries.
-
E.
Swanwick
Swanwick is a village and civil parish in Derbyshire, England, known historically for its coal mining and industrial heritage.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456285c808190953a49e77366d8bd |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.