Triple

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).

Phrase: Northern Forests ecoregion | Statement: [Aurora, Minnesota, locatedIn, Northern Forests ecoregion]

Target entity: Northern Forests ecoregion
Context triple: [Aurora, Minnesota, locatedIn, Northern Forests ecoregion]

• A. Northern Lakes and Forests ecoregion chosen
  The Northern Lakes and Forests ecoregion is a heavily forested, lake-rich landscape of the upper Great Lakes region characterized by mixed conifer–hardwood forests, abundant wetlands, and a cool northern climate that supports diverse wildlife.
• B. Canadian boreal forest
  The Canadian boreal forest is a vast northern woodland biome dominated by coniferous trees, wetlands, and lakes, forming one of the world’s largest intact forest ecosystems and a critical global carbon sink.
• C. Taiga Shield ecozone
  The Taiga Shield ecozone is a vast northern Canadian region characterized by boreal forest, exposed Precambrian bedrock, countless lakes, and a subarctic climate.
• D. Boreal Shield ecozone
  The Boreal Shield ecozone is a vast Canadian region characterized by extensive boreal forests, exposed Precambrian bedrock, and countless lakes and wetlands stretching across much of the country’s northern interior.
• E. Great Lakes–St. Lawrence forest region
  The Great Lakes–St. Lawrence forest region is a mixed-wood ecological zone in eastern Canada characterized by a transition between boreal coniferous forests and southern hardwood forests, supporting high biodiversity and numerous protected areas.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.