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: Métro Noailles | Statement: [La Canebière, hasNearbyStation, Métro Noailles]

Target entity: Métro Noailles
Context triple: [La Canebière, hasNearbyStation, Métro Noailles]

• A. Paris Métro Poissonnière
  Paris Métro Poissonnière is a station on the Paris Métro network located in the 10th arrondissement, serving Line 7 near the Gare du Nord area.
• B. Paris Métro Line 11
  Paris Métro Line 11 is a short, primarily east–west line of the Paris Métro known for serving northeastern districts and being one of the network’s more modernized and recently extended lines.
• C. Paris Métro Line 10
  Paris Métro Line 10 is an east–west subway line in the Paris Métro network that runs primarily along the Left Bank, serving several central and southwestern districts of the city.
• D. Paris Métro Gare de Lyon
  Paris Métro Gare de Lyon is a major Parisian underground station and transport hub serving multiple metro and RER lines beneath the Gare de Lyon mainline railway terminal.
• E. Paris Métro Line 15
  Paris Métro Line 15 is a planned automated orbital metro line forming part of the Grand Paris Express project, designed to encircle Paris and improve rapid transit connections between its suburbs.
• 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: Métro Noailles
Triple: [La Canebière, hasNearbyStation, Métro Noailles]

Métro Noailles is a Marseille metro station serving the city center near the historic La Canebière boulevard.

Target entity: Métro Noailles
Target entity description: Métro Noailles is a Marseille metro station serving the city center near the historic La Canebière boulevard.

• A. Paris Métro Poissonnière
  Paris Métro Poissonnière is a station on the Paris Métro network located in the 10th arrondissement, serving Line 7 near the Gare du Nord area.
• B. Paris Métro Line 11
  Paris Métro Line 11 is a short, primarily east–west line of the Paris Métro known for serving northeastern districts and being one of the network’s more modernized and recently extended lines.
• C. Paris Métro Line 10
  Paris Métro Line 10 is an east–west subway line in the Paris Métro network that runs primarily along the Left Bank, serving several central and southwestern districts of the city.
• D. Paris Métro Gare de Lyon
  Paris Métro Gare de Lyon is a major Parisian underground station and transport hub serving multiple metro and RER lines beneath the Gare de Lyon mainline railway terminal.
• E. Paris Métro Line 15
  Paris Métro Line 15 is a planned automated orbital metro line forming part of the Grand Paris Express project, designed to encircle Paris and improve rapid transit connections between its suburbs.
• F. None of above. chosen