Triple
T9824376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A11 road |
E238616
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Thetford Forest |
E206606
|
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: Thetford Forest | Statement: [A11 road, passesNear, Thetford Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thetford Forest Context triple: [A11 road, passesNear, Thetford Forest]
-
A.
Thetford Forest
chosen
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.
-
B.
Forest of Dean
The Forest of Dean is an ancient woodland and historic royal forest in western England, renowned for its rich wildlife, mining heritage, and scenic walking and cycling trails.
-
C.
Ashdown Forest
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.
-
D.
Cannock Chase Forest
Cannock Chase Forest is a large mixed woodland and recreational area in Staffordshire, England, known for its walking and cycling trails, wildlife, and outdoor leisure activities.
-
E.
Dunn Forest
Dunn Forest is a component of Oregon State University's McDonald-Dunn Research Forest, used primarily for forestry research, education, and sustainable land management.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb316f8948190ada3738787a5cb6a |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc810bac8190a5ff94c0717e7706 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.