Triple
T1280586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Great Ouse |
E27314
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Milton Keynes |
E66814
|
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: Milton Keynes | Statement: [River Great Ouse, flowsThrough, Milton Keynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milton Keynes Context triple: [River Great Ouse, flowsThrough, Milton Keynes]
-
A.
Milton Keynes
chosen
Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
-
B.
Welwyn Garden City
Welwyn Garden City is a planned English town in Hertfordshire, founded by Ebenezer Howard in the early 20th century as a model community combining the benefits of city and countryside.
-
C.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
D.
Bracknell
Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
-
E.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c094eb4881909a33061339f91190 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51996dc08190afecb40095e3d3e2 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 1, 2026, 7:50 p.m.