Triple
T3093132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover District |
E64528
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nonington
Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
|
E326419
|
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: Nonington | Statement: [Dover District, contains, Nonington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonington Context triple: [Dover District, contains, Nonington]
-
A.
Honiton
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
-
B.
Kedington
Kedington is a village and civil parish in the English county of Suffolk, known for its historic church and rural setting near Haverhill.
-
C.
Allington
Allington is an English village best known in literature as the rural setting of Anthony Trollope’s novel "The Small House at Allington."
-
D.
Burnham Norton
Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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: Nonington Triple: [Dover District, contains, Nonington]
Generated description
Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nonington Target entity description: Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
-
A.
Honiton
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
-
B.
Kedington
Kedington is a village and civil parish in the English county of Suffolk, known for its historic church and rural setting near Haverhill.
-
C.
Allington
Allington is an English village best known in literature as the rural setting of Anthony Trollope’s novel "The Small House at Allington."
-
D.
Burnham Norton
Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203697abc8190b93e8c85ada5bdfc |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2043430548190a538c183aef44b44 |
completed | March 12, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b204c812f081908fe5733305123c0e |
completed | March 12, 2026, 12:11 a.m. |
Created at: March 8, 2026, 3:03 p.m.