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: Natal metropolitan area | Statement: [Greater Natal International Airport, serves, Natal metropolitan area]

Target entity: Natal metropolitan area
Context triple: [Greater Natal International Airport, serves, Natal metropolitan area]

• A. Natal metropolitan region chosen
  The Natal metropolitan region is a major urban agglomeration in the state of Rio Grande do Norte, Brazil, centered on the city of Natal and encompassing several surrounding municipalities.
• B. Londrina metropolitan area
  The Londrina metropolitan area is a major urban and economic region in northern Paraná, Brazil, centered around the city of Londrina and its surrounding municipalities.
• C. Bata metropolitan area
  The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
• D. São Paulo metropolitan area
  The São Paulo metropolitan area is Brazil’s largest and most populous urban agglomeration, encompassing the city of São Paulo and numerous surrounding municipalities that form a major economic and cultural hub in Latin America.
• E. Brasília metropolitan area
  The Brasília metropolitan area is the large urban agglomeration centered on Brazil’s capital, Brasília, encompassing surrounding satellite cities and administrative regions in the Federal District.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.