Triple
T431771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South East England |
E9728
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object |
Milton Keynes
Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
|
E66814
|
NE FINISHED |
How this triple was built (4 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: [South East England, largestSettlement, Milton Keynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milton Keynes Context triple: [South East England, largestSettlement, Milton Keynes]
-
A.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
B.
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.
-
C.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
D.
Luton
Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
-
E.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Milton Keynes Triple: [South East England, largestSettlement, Milton Keynes]
Generated description
Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milton Keynes Target entity description: Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
-
A.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
B.
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.
-
C.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
D.
Luton
Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
-
E.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
- F. None of above. chosen
Provenance (5 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c029f10c8190a755e230528f3b7b |
completed | March 1, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69a4c0b0868881909e28d253c2971618 |
completed | March 1, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c131bd8881909501843d85145979 |
completed | March 1, 2026, 10:44 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.