Triple
T21925629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Row |
E541436
|
entity |
| Predicate | shireDistrict |
P20673
|
FINISHED |
| Object | Wealden |
—
|
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: Wealden | Statement: [Forest Row, shireDistrict, Wealden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wealden Context triple: [Forest Row, shireDistrict, Wealden]
-
A.
Wealden District
chosen
Wealden District is a local government district in East Sussex, England, known for its rural landscapes, historic towns, and parts of the High Weald Area of Outstanding Natural Beauty.
-
B.
Swale district
Swale district is a local government district in Kent, England, encompassing coastal, rural, and urban areas including the Isle of Sheppey and the towns of Sittingbourne and Faversham.
-
C.
Surrey Weald
Surrey Weald is a rural, historically wooded lowland area in southeast England characterized by rolling farmland, scattered woodlands, and traditional villages.
-
D.
West Sussex
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
-
E.
East Sussex
East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fa40c48190b80a85e562ea2591 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.