Triple
T4249698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulkington |
E95817
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bedworth |
E353059
|
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: Bedworth | Statement: [Bulkington, locatedNear, Bedworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedworth Context triple: [Bulkington, locatedNear, Bedworth]
-
A.
Bedworth
chosen
Bedworth is a small market town in Warwickshire, England, situated between Coventry and Nuneaton and known historically for coal mining and ribbon weaving.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
Bolsover
Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
-
D.
Failsworth
Failsworth is a town in Greater Manchester, England, situated between Manchester and Oldham and known historically for its textile industry.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9df10881908a2f039773f8afaa |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87fdca481908bd2c80b10d0dd3d |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.