Triple
T16408635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A50 road |
E398499
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Uttoxeter |
E141549
|
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: Uttoxeter | Statement: [A50 road, passesNear, Uttoxeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttoxeter Context triple: [A50 road, passesNear, Uttoxeter]
-
A.
Uttoxeter
chosen
Uttoxeter is a historic market town in central England known for its racecourse and rural Staffordshire setting.
-
B.
Torksey
Torksey is a small historic village in Lincolnshire, England, known for its location on the River Trent and its medieval and Viking-era heritage.
-
C.
Edwinstowe
Edwinstowe is a village in Nottinghamshire, England, best known for its close association with Sherwood Forest and the Robin Hood legend.
-
D.
Southwell
Southwell is a small coastal settlement on the Isle of Portland in Dorset, England, known for its proximity to dramatic cliffs and quarrying heritage.
-
E.
Southwell
Southwell is a historic town in Nottinghamshire, England, best known for its medieval Southwell Minster and picturesque market-town character.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.