Triple
T15942457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SY postcode area |
E386598
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Presteigne |
E875747
|
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: Presteigne | Statement: [SY postcode area, hasPostTown, Presteigne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Presteigne Context triple: [SY postcode area, hasPostTown, Presteigne]
-
A.
Presteigne
chosen
Presteigne is a small historic market town on the English–Welsh border, known for its preserved architecture and rural setting.
-
B.
Pewsey
Pewsey is a large village and civil parish in Wiltshire, England, situated in the Vale of Pewsey and known for its rural setting and historic market-town character.
-
C.
Bridgnorth
Bridgnorth is a historic market town in Shropshire, England, known for its dramatic position on the River Severn and its high and low town layout linked by a funicular railway.
-
D.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
-
E.
Culcheth
Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.