Triple
T13505684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folkestone and Hythe District |
E321009
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hawkinge
Hawkinge is a village and civil parish in Kent, England, known for its historical association with World War II airfields and its location near Folkestone.
|
E1047192
|
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: Hawkinge | Statement: [Folkestone and Hythe District, contains, Hawkinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkinge Context triple: [Folkestone and Hythe District, contains, Hawkinge]
-
A.
Brightlingsea
Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
-
B.
Henham
Henham is a small rural village located in the English county of Suffolk.
-
C.
Brockham
Brockham is a picturesque village in Surrey, England, known for its traditional village green and historic rural character.
-
D.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
E.
Hildenborough
Hildenborough is a village in Kent, England, situated near Tonbridge and known for its commuter links to London and surrounding towns.
- 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: Hawkinge Triple: [Folkestone and Hythe District, contains, Hawkinge]
Generated description
Hawkinge is a village and civil parish in Kent, England, known for its historical association with World War II airfields and its location near Folkestone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hawkinge Target entity description: Hawkinge is a village and civil parish in Kent, England, known for its historical association with World War II airfields and its location near Folkestone.
-
A.
Brightlingsea
Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
-
B.
Henham
Henham is a small rural village located in the English county of Suffolk.
-
C.
Brockham
Brockham is a picturesque village in Surrey, England, known for its traditional village green and historic rural character.
-
D.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
E.
Hildenborough
Hildenborough is a village in Kent, England, situated near Tonbridge and known for its commuter links to London and surrounding towns.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9009688190b8f18bb3525c6afd |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:43 p.m.