Triple
T1185317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staffordshire |
E25231
|
entity |
| Predicate | containsArea |
P11790
|
FINISHED |
| Object | The Potteries |
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: The Potteries | Statement: [Staffordshire, containsArea, The Potteries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Potteries Context triple: [Staffordshire, containsArea, The Potteries]
-
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.
Burslem
Burslem is a town in Stoke-on-Trent, England, historically known as a major center of the pottery industry.
-
D.
Birkenhead
Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
-
E.
Kilndown
Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace55382c88190b838478f3c178c2d |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:45 p.m.