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: Mouton-Duvernet station | Statement: [14th arrondissement of Paris, contains, Mouton-Duvernet station]

Target entity: Mouton-Duvernet station
Context triple: [14th arrondissement of Paris, contains, Mouton-Duvernet station]

• A. Vaneau station
  Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
• B. Valmondois station
  Valmondois station is a railway terminus in Valmondois, France, serving as the endpoint of Île-de-France tram-train Line H services in the northern suburbs of Paris.
• C. Lucien-L’Allier station
  Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
• D. Fabre station
  Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
• E. Lyon-Jean Macé station
  Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
• 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: Mouton-Duvernet station
Triple: [14th arrondissement of Paris, contains, Mouton-Duvernet station]

Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.

Target entity: Mouton-Duvernet station
Target entity description: Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.

• A. Vaneau station
  Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
• B. Valmondois station
  Valmondois station is a railway terminus in Valmondois, France, serving as the endpoint of Île-de-France tram-train Line H services in the northern suburbs of Paris.
• C. Lucien-L’Allier station
  Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
• D. Fabre station
  Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
• E. Lyon-Jean Macé station
  Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
• F. None of above. chosen