Triple
T38450942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Arboretum Canberra |
E912172
|
entity |
| Predicate | numberOfForests |
—
|
GENERATED |
| Object | approximately 94 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfForests Context triple: [National Arboretum Canberra, numberOfForests, approximately 94]
-
A.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
-
B.
isForested
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
-
C.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
D.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
E.
forestDistrict
Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other entity.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.