Triple
T21925617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Row |
E541436
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ashdown Forest |
—
|
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: Ashdown Forest | Statement: [Forest Row, near, Ashdown Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashdown Forest Context triple: [Forest Row, near, Ashdown Forest]
-
A.
Ashdown Forest
chosen
Ashdown Forest is a historic heathland and woodland area in East Sussex, England, famed as the inspiration for A.A. Milne’s Winnie-the-Pooh stories.
-
B.
Barnsdale Forest
Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
-
C.
Thetford Forest
Thetford Forest is a large coniferous woodland and popular outdoor recreation area in eastern England, known for its walking and cycling trails, wildlife, and forestry.
-
D.
Guisborough Forest
Guisborough Forest is a large woodland and recreational area in North Yorkshire, England, known for its walking trails, wildlife, and scenic views over the surrounding countryside.
-
E.
Northumberland Heath
Northumberland Heath is a suburban area in the London Borough of Bexley, England, forming part of the outer South East London commuter belt.
- 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.