Triple
T21158675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège Boréal |
E521377
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Hearst, 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: Hearst, Ontario | Statement: [Collège Boréal, hasCampusIn, Hearst, Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hearst, Ontario Context triple: [Collège Boréal, hasCampusIn, Hearst, Ontario]
-
A.
Hearst, Ontario
chosen
Hearst, Ontario is a small bilingual (French-English) town in northern Ontario known for its forestry-based economy and strong Franco-Ontarian culture.
-
B.
Hawkesbury, Ontario
Hawkesbury, Ontario is a small bilingual town on the Ottawa River known for its manufacturing history and position between Ottawa and Montreal.
-
C.
Galt, Ontario
Galt, Ontario was a historic town in southern Ontario that later became one of the constituent communities of the city of Cambridge.
-
D.
Latimer, Ontario
Latimer, Ontario is a small rural community located within the township of South Frontenac in eastern Ontario, Canada.
-
E.
Hickson, Ontario
Hickson, Ontario is a small rural community located within Oxford County in southwestern Ontario, Canada.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252e9ef481908f4904c535f3da8b |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.