Triple
T20541118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benn W. Levy |
E504334
|
entity |
| Predicate | constituencyRepresented |
P192
|
FINISHED |
| Object |
Eton and Slough
Eton and Slough was a former UK parliamentary constituency in Buckinghamshire/Berkshire that elected Members of Parliament to the House of Commons.
|
E1437234
|
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: Eton and Slough | Statement: [Benn W. Levy, constituencyRepresented, Eton and Slough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eton and Slough Context triple: [Benn W. Levy, constituencyRepresented, Eton and Slough]
-
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.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
C.
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.
-
D.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
E.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
- 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: Eton and Slough Triple: [Benn W. Levy, constituencyRepresented, Eton and Slough]
Generated description
Eton and Slough was a former UK parliamentary constituency in Buckinghamshire/Berkshire that elected Members of Parliament to the House of Commons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eton and Slough Target entity description: Eton and Slough was a former UK parliamentary constituency in Buckinghamshire/Berkshire that elected Members of Parliament to the House of Commons.
-
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.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
C.
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.
-
D.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
E.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29224f081908298d104161c5bb9 |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a567f39c819098b75ea029b3f740 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:37 a.m.