Triple
T12708770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardwell Mill |
E303657
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bardwell |
E303657
|
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: Bardwell | Statement: [Bardwell Mill, locatedIn, Bardwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardwell Context triple: [Bardwell Mill, locatedIn, Bardwell]
-
A.
Bardwell
chosen
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
B.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
C.
Bainsford
Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
-
D.
Bowdon
Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
-
E.
Bowdon
Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.