Triple
T20762831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Peninsula |
E511013
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Greenbelt (Ontario) |
—
|
NE NERFINISHED |
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: Greenbelt (Ontario) | Statement: [Ontario Peninsula, contains, Greenbelt (Ontario)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbelt (Ontario) Context triple: [Ontario Peninsula, contains, Greenbelt (Ontario)]
-
A.
Greenbelt (Ontario)
chosen
Greenbelt (Ontario) is a protected area surrounding the Greater Toronto Area that preserves farmland, forests, wetlands, and natural habitats from urban development.
-
B.
Greenfield, Ontario
Greenfield, Ontario is a small rural community located within the Township of North Glengarry in eastern Ontario, Canada.
-
C.
Bramalea
Bramalea is a suburban district in Brampton, Ontario, known as one of Canada's first fully planned satellite communities.
-
D.
Richmond Hill, Ontario
Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
-
E.
Barrhaven
Barrhaven is a large suburban community in Ottawa, Ontario, known for its family-oriented residential areas, schools, and shopping centres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24a154c8190a9062923308d2411 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.