Triple
T17673505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DY postcode area |
E440585
|
entity |
| Predicate | coversTown |
P847
|
FINISHED |
| Object | Wordsley |
—
|
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: Wordsley | Statement: [DY postcode area, coversTown, Wordsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wordsley Context triple: [DY postcode area, coversTown, Wordsley]
-
A.
Wordsley
chosen
Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
-
B.
Thorley
Thorley is a village and civil parish in Hertfordshire, England, situated just southwest of the town of Bishop's Stortford.
-
C.
Willaston
Willaston is a village in Cheshire, England, situated near the town of Crewe.
-
D.
Willaston
Willaston is a village on the Wirral Peninsula in England, known for its rural character and proximity to scenic walking and cycling routes.
-
E.
Rowsley
Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6aa64081908c9a82128a5a9024 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.