Triple
T2757259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bracknell Forest |
E61129
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Swinley Forest |
E249236
|
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: Swinley Forest | Statement: [Bracknell Forest, contains, Swinley Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swinley Forest Context triple: [Bracknell Forest, contains, Swinley Forest]
-
A.
Swinley Forest
chosen
Swinley Forest is a large coniferous woodland and popular outdoor recreation area in Berkshire, England, known for its mountain biking trails, walking paths, and wildlife.
-
B.
Wychwood Forest area
The Wychwood Forest area is a historic woodland region in Oxfordshire, England, known for its ancient royal hunting forest, rich biodiversity, and traditional rural landscapes.
-
C.
Afan Forest Park
Afan Forest Park is a renowned forested recreation area in South Wales, best known for its extensive mountain biking trails, walking routes, and scenic valley landscapes.
-
D.
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.
-
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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8ba4688190b401b6eb5b734ac6 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.