Triple
T20829456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espanola |
E512789
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Northern 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: Northern Ontario | Statement: [Espanola, locatedIn, Northern Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Ontario Context triple: [Espanola, locatedIn, Northern Ontario]
-
A.
Northern Ontario
chosen
Northern Ontario is a vast, sparsely populated region of Ontario known for its boreal forests, abundant lakes, mining and forestry industries, and predominantly rural and Indigenous communities.
-
B.
North Ontario
North Ontario is the former name of a historic community area that later became part of the city of Upland in San Bernardino County, California.
-
C.
Northwestern Ontario
Northwestern Ontario is a sparsely populated, resource-rich region of Ontario known for its vast forests, numerous lakes, and communities such as Thunder Bay and Kenora.
-
D.
northeastern Ontario
Northeastern Ontario is a sparsely populated, resource-rich region of Ontario, Canada, known for its vast forests, lakes, and mining and forestry industries.
-
E.
Southern Ontario
Southern Ontario is the densely populated, industrial and economic heartland of Ontario, Canada, encompassing major cities such as Toronto, Hamilton, and London.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.