Triple
T3093122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover District |
E64528
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lydden
Lydden is a small village in Kent, England, situated near Dover and known for its rural setting and proximity to the Lydden Hill race circuit.
|
E326413
|
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: Lydden | Statement: [Dover District, contains, Lydden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydden Context triple: [Dover District, contains, Lydden]
-
A.
Stanground
Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
-
B.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
-
C.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
D.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
-
E.
Kessingland
Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
- 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: Lydden Triple: [Dover District, contains, Lydden]
Generated description
Lydden is a small village in Kent, England, situated near Dover and known for its rural setting and proximity to the Lydden Hill race circuit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lydden Target entity description: Lydden is a small village in Kent, England, situated near Dover and known for its rural setting and proximity to the Lydden Hill race circuit.
-
A.
Stanground
Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
-
B.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
-
C.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
D.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
-
E.
Kessingland
Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
- 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.