Triple
T6665513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rushcliffe district |
E151590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Thoroton
Thoroton is a small rural village in Nottinghamshire, England, known for its historic character and agricultural surroundings.
|
E608987
|
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: Thoroton | Statement: [Rushcliffe district, contains, Thoroton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thoroton Context triple: [Rushcliffe district, contains, Thoroton]
-
A.
Stonethwaite
Stonethwaite is a small rural village in the Borrowdale valley of England’s Lake District, known for its scenic landscapes and traditional stone-built houses.
-
B.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
C.
Rolvenden
Rolvenden is a rural village and civil parish in the Ashford district of Kent, England, known for its traditional English countryside character and historic buildings.
-
D.
Elswick
Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
-
E.
Grundisburgh
Grundisburgh is a village and civil parish in the English county of Suffolk, known for its rural character and historic parish church.
- 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: Thoroton Triple: [Rushcliffe district, contains, Thoroton]
Generated description
Thoroton is a small rural village in Nottinghamshire, England, known for its historic character and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thoroton Target entity description: Thoroton is a small rural village in Nottinghamshire, England, known for its historic character and agricultural surroundings.
-
A.
Stonethwaite
Stonethwaite is a small rural village in the Borrowdale valley of England’s Lake District, known for its scenic landscapes and traditional stone-built houses.
-
B.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
C.
Rolvenden
Rolvenden is a rural village and civil parish in the Ashford district of Kent, England, known for its traditional English countryside character and historic buildings.
-
D.
Elswick
Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
-
E.
Grundisburgh
Grundisburgh is a village and civil parish in the English county of Suffolk, known for its rural character and historic parish church.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09d97648190a254cabc0ffcb0dc |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0e33308190995fcccf50d134c1 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.