Triple
T1185295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staffordshire |
E25231
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Burton upon Trent |
E110929
|
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: Burton upon Trent | Statement: [Staffordshire, containsSettlement, Burton upon Trent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burton upon Trent Context triple: [Staffordshire, containsSettlement, Burton upon Trent]
-
A.
Burton upon Trent
chosen
Burton upon Trent is a market town in Staffordshire, England, historically renowned for its brewing industry and association with pale ales.
-
B.
Stoke-on-Trent
Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
-
C.
Newark-on-Trent
Newark-on-Trent is a historic market town in Nottinghamshire, England, known for its medieval castle ruins, role in the English Civil War, and position on the River Trent.
-
D.
Lichfield
Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
-
E.
Rugeley
Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
- 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_69acde099eb88190ac354f3b4efb0965 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:45 p.m.