Triple
T18513188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourget |
E452393
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Larose Forest |
—
|
NE NERFINISHED |
How this triple was built (3 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: Larose Forest | Statement: [Bourget, hasNearbyFeature, Larose Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larose Forest Context triple: [Bourget, hasNearbyFeature, Larose Forest]
-
A.
Fontenelle Forest
Fontenelle Forest is a large, historically significant nature preserve and forested park along the Missouri River in eastern Nebraska, known for its hiking trails, wildlife, and conservation efforts.
-
B.
Grand Forest
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
-
C.
Argonne Forest
Argonne Forest is a wooded region in northeastern France that was a major World War I battlefield, particularly known for the Meuse-Argonne Offensive.
-
D.
Marly Forest
Marly Forest is a historic woodland area in the Yvelines department of north-central France, known for its natural landscapes and former royal hunting grounds.
-
E.
Backus Woods
Backus Woods is a significant old-growth Carolinian forest and conservation area in southern Ontario, known for its rich biodiversity and protected natural habitats.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larose Forest Target entity description: Larose Forest is a large, managed woodland in eastern Ontario, Canada, known for its extensive trail network and outdoor recreation opportunities.
-
A.
Fontenelle Forest
Fontenelle Forest is a large, historically significant nature preserve and forested park along the Missouri River in eastern Nebraska, known for its hiking trails, wildlife, and conservation efforts.
-
B.
Grand Forest
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
-
C.
Argonne Forest
Argonne Forest is a wooded region in northeastern France that was a major World War I battlefield, particularly known for the Meuse-Argonne Offensive.
-
D.
Marly Forest
Marly Forest is a historic woodland area in the Yvelines department of north-central France, known for its natural landscapes and former royal hunting grounds.
-
E.
Backus Woods
Backus Woods is a significant old-growth Carolinian forest and conservation area in southern Ontario, known for its rich biodiversity and protected natural habitats.
- F. None of above. chosen
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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53348274c8190a82861b0104538e3 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.