Triple
T15082509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundanoon |
E360183
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Sutton Forest |
E1120829
|
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: Sutton Forest | Statement: [Bundanoon, nearbyTown, Sutton Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sutton Forest Context triple: [Bundanoon, nearbyTown, Sutton Forest]
-
A.
Sutton Forest
chosen
Sutton Forest is a small rural village in the Southern Highlands of New South Wales, Australia, known for its historic estates, cool climate, and pastoral landscapes.
-
B.
Swinley Forest
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.
-
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.
Knettishall Heath
Knettishall Heath is a large nature reserve in Suffolk, England, known for its heathland, woodland, and rich wildlife habitats.
-
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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae179a24819097019976707c93e1 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:03 a.m.