Triple
T5916031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etruria, Staffordshire |
E131581
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burslem |
E30671
|
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: Burslem | Statement: [Etruria, Staffordshire, near, Burslem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burslem Context triple: [Etruria, Staffordshire, near, Burslem]
-
A.
Burslem
chosen
Burslem is a town in Stoke-on-Trent, England, historically known as a major center of the pottery industry.
-
B.
Burslem Park
Burslem Park is a historic Victorian public park in Burslem, Stoke-on-Trent, known for its ornamental gardens, lake, and heritage features.
-
C.
Stoke-on-Trent
Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
-
D.
Brierley Hill
Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
-
E.
Glossop
Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bb538c8190acc514c2d49359f4 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02c24cc8190a98d24f7445f59b7 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 3:59 p.m.