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: Windsor census metropolitan area | Statement: [Town of Tecumseh, partOf, Windsor census metropolitan area]

Target entity: Windsor census metropolitan area
Context triple: [Town of Tecumseh, partOf, Windsor census metropolitan area]

• A. Kitchener–Waterloo metropolitan area
  The Kitchener–Waterloo metropolitan area is a major urban and technology hub in southwestern Ontario, Canada, centered on the twin cities of Kitchener and Waterloo.
• B. Windsor, Ontario chosen
  Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
• C. Metropolitan Toronto
  Metropolitan Toronto was a former regional government in Ontario, Canada that encompassed the city of Toronto and its surrounding municipalities before their amalgamation into a single city in 1998.
• D. Ottawa Micropolitan Statistical Area
  The Ottawa Micropolitan Statistical Area is a U.S. Census-designated region in north-central Illinois centered on the city of Ottawa, encompassing surrounding communities for demographic and economic analysis.
• E. Ottawa–Gatineau metropolitan area
  The Ottawa–Gatineau metropolitan area is a major Canadian bi-provincial urban region centered on the cities of Ottawa, Ontario, and Gatineau, Quebec, forming the country’s National Capital Region.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.