Triple
T22545072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Shirley’s Bone and Flint Mill |
E557397
|
entity |
| Predicate | culturalRegion |
P1968
|
FINISHED |
| Object | The Potteries |
—
|
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: The Potteries | Statement: [Jesse Shirley’s Bone and Flint Mill, culturalRegion, The Potteries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Potteries Context triple: [Jesse Shirley’s Bone and Flint Mill, culturalRegion, The Potteries]
-
A.
Stoke-on-Trent
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.
Staffordshire Potteries
chosen
Staffordshire Potteries is a historic ceramics-producing region in Staffordshire, England, renowned as a major center of the British pottery industry.
-
D.
Burslem
Burslem is a town in Stoke-on-Trent, England, historically known as a major center of the pottery industry.
-
E.
Keele
Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f34a0688190ad55be067db8e21b |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.