Triple
T13506033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folkestone and Hythe |
E321016
|
entity |
| Predicate | covers |
P1393
|
FINISHED |
| Object | Hawkinge |
E1047192
|
NE FINISHED |
How this triple was built (2 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, covers, Hawkinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkinge Context triple: [Folkestone and Hythe, covers, Hawkinge]
-
A.
Hawkinge
chosen
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.
-
B.
Brightlingsea
Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
-
C.
Henham
Henham is a small rural village located in the English county of Suffolk.
-
D.
Brockham
Brockham is a picturesque village in Surrey, England, known for its traditional village green and historic rural character.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f78ad8903c8190afbf15234a81d657 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:43 p.m.