Triple
T1111191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckinghamshire |
E10606
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Aylesbury
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
|
E211123
|
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: Aylesbury | Statement: [Buckinghamshire, capital, Aylesbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aylesbury Context triple: [Buckinghamshire, capital, Aylesbury]
-
A.
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.
-
B.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
C.
Beaconsfield
Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
-
D.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
-
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. 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: Aylesbury Triple: [Buckinghamshire, capital, Aylesbury]
Generated description
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aylesbury Target entity description: Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
-
A.
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.
-
B.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
C.
Beaconsfield
Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
-
D.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
-
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. 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bb7742788190b320aec99e76ca41 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab2f888819093d2b3e49b105802 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb330fe0819096ac927838b6ee2f |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebb1d7748190b5cd33d163368eae |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 1, 2026, 7:43 p.m.