Triple
T22545042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Shirley’s Bone and Flint Mill |
E557397
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Stoke-on-Trent |
E102325
|
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: Stoke-on-Trent | Statement: [Jesse Shirley’s Bone and Flint Mill, city, Stoke-on-Trent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoke-on-Trent Context triple: [Jesse Shirley’s Bone and Flint Mill, city, Stoke-on-Trent]
-
A.
Stoke-on-Trent
chosen
Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
-
B.
Burton upon Trent
Burton upon Trent is a market town in Staffordshire, England, historically renowned for its brewing industry and association with pale ales.
-
C.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
D.
Nottingham
Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
-
E.
Coventry
Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f34a0688190ad55be067db8e21b |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1deaee088190a354d2b3f60fd07c |
completed | May 18, 2026, 2:10 p.m. |
Created at: April 16, 2026, 8:51 p.m.