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: Caen metropolitan area | Statement: [Hérouville-Saint-Clair, locatedInMetropolitanArea, Caen metropolitan area]

Target entity: Caen metropolitan area
Context triple: [Hérouville-Saint-Clair, locatedInMetropolitanArea, Caen metropolitan area]

• A. Rouen metropolitan area
  The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
• B. Calais metropolitan area
  The Calais metropolitan area is a cross-border urban region centered on Calais, Maine, and neighboring communities along the St. Croix River that functions as a key gateway between the United States and Canada.
• C. Nantes metropolitan area
  The Nantes metropolitan area is a major urban and economic region in western France centered on the city of Nantes and encompassing its surrounding suburbs and districts.
• D. Reims metropolitan area
  The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
• E. Le Havre urban area
  Le Havre urban area is a major French coastal conurbation centered on the port city of Le Havre, known for its maritime industry and post-war modernist architecture.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Entity: Caen metropolitan area
Triple: [Hérouville-Saint-Clair, locatedInMetropolitanArea, Caen metropolitan area]

The Caen metropolitan area is an urban agglomeration in Normandy, France, centered on the city of Caen and encompassing surrounding communes such as Hérouville-Saint-Clair.

Target entity: Caen metropolitan area
Target entity description: The Caen metropolitan area is an urban agglomeration in Normandy, France, centered on the city of Caen and encompassing surrounding communes such as Hérouville-Saint-Clair.

• A. Rouen metropolitan area
  The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
• B. Calais metropolitan area
  The Calais metropolitan area is a cross-border urban region centered on Calais, Maine, and neighboring communities along the St. Croix River that functions as a key gateway between the United States and Canada.
• C. Nantes metropolitan area
  The Nantes metropolitan area is a major urban and economic region in western France centered on the city of Nantes and encompassing its surrounding suburbs and districts.
• D. Reims metropolitan area
  The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
• E. Le Havre urban area
  Le Havre urban area is a major French coastal conurbation centered on the port city of Le Havre, known for its maritime industry and post-war modernist architecture.
• F. None of above. chosen