Triple
T10496016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paddy Ashdown |
E247537
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Norton-sub-Hamdon
Norton-sub-Hamdon is a small village in Somerset, England, known for its traditional hamstone buildings and rural setting.
|
E867834
|
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: Norton-sub-Hamdon | Statement: [Paddy Ashdown, residence, Norton-sub-Hamdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norton-sub-Hamdon Context triple: [Paddy Ashdown, residence, Norton-sub-Hamdon]
-
A.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
-
B.
Bramshott
Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
-
C.
Elsenham
Elsenham is a village and civil parish in the Uttlesford district of Essex, England, known for its rural character and railway station on the West Anglia Main Line.
-
D.
Burnham Sutton
Burnham Sutton is a small village in Norfolk, England, forming part of the historic cluster of Burnham settlements near the north Norfolk coast.
-
E.
Thornham
Thornham is a coastal village in Norfolk, England, known for its salt marshes, sandy beaches, and traditional rural character.
- 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: Norton-sub-Hamdon Triple: [Paddy Ashdown, residence, Norton-sub-Hamdon]
Generated description
Norton-sub-Hamdon is a small village in Somerset, England, known for its traditional hamstone buildings and rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norton-sub-Hamdon Target entity description: Norton-sub-Hamdon is a small village in Somerset, England, known for its traditional hamstone buildings and rural setting.
-
A.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
-
B.
Bramshott
Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
-
C.
Elsenham
Elsenham is a village and civil parish in the Uttlesford district of Essex, England, known for its rural character and railway station on the West Anglia Main Line.
-
D.
Burnham Sutton
Burnham Sutton is a small village in Norfolk, England, forming part of the historic cluster of Burnham settlements near the north Norfolk coast.
-
E.
Thornham
Thornham is a coastal village in Norfolk, England, known for its salt marshes, sandy beaches, and traditional rural character.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcbafe9481908fb23cfdf150adac |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.