Triple
T19656932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A229 road |
E471971
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Hawkhurst |
—
|
NE NERFINISHED |
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: Hawkhurst | Statement: [A229 road, passesThrough, Hawkhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkhurst Context triple: [A229 road, passesThrough, Hawkhurst]
-
A.
Hawkhurst
chosen
Hawkhurst is a historic village in Kent, England, known for its picturesque Wealden countryside setting and its association with the 18th-century Hawkhurst Gang of smugglers.
-
B.
Speldhurst
Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
-
C.
Wadhurst
Wadhurst is a rural village in East Sussex, England, known for its historic High Street, surrounding Wealden countryside, and role as a commuter community for nearby towns and London.
-
D.
Crowhurst
Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
-
E.
Baslehurst
Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64146539c8190813debb0d964bc23 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.