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: Gare Centrale de Montréal | Statement: [Via Rail, hasStation, Gare Centrale de Montréal]

Target entity: Gare Centrale de Montréal
Context triple: [Via Rail, hasStation, Gare Centrale de Montréal]

• A. Baie-D’Urfé station
  Baie-D’Urfé station is a commuter rail station in Baie-D’Urfé, Quebec, serving passengers on the Exo rail network in the Greater Montreal area.
• B. Joliette station
  Joliette station is a Montreal Metro station on the Green Line serving the Maisonneuve area in the borough of Mercier–Hochelaga-Maisonneuve.
• C. Waterloo station
  Waterloo station is a major central London railway terminus and Underground hub, known as one of the busiest transport interchanges in the United Kingdom.
• D. Jean-Drapeau station
  Jean-Drapeau station is a Montreal Metro station on Île Sainte-Hélène that serves Parc Jean-Drapeau and nearby attractions such as the La Ronde amusement park.
• E. Concorde metro station
  Concorde metro station is a Paris Métro station in central Paris, located near Place de la Concorde and serving as an interchange between several key metro lines.
• 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: Gare Centrale de Montréal
Triple: [Via Rail, hasStation, Gare Centrale de Montréal]

Gare Centrale de Montréal is Montreal’s primary intercity rail hub and a major transportation center in Canada, serving national and regional train services as well as connections to local transit.

Target entity: Gare Centrale de Montréal
Target entity description: Gare Centrale de Montréal is Montreal’s primary intercity rail hub and a major transportation center in Canada, serving national and regional train services as well as connections to local transit.

• A. Baie-D’Urfé station
  Baie-D’Urfé station is a commuter rail station in Baie-D’Urfé, Quebec, serving passengers on the Exo rail network in the Greater Montreal area.
• B. Joliette station
  Joliette station is a Montreal Metro station on the Green Line serving the Maisonneuve area in the borough of Mercier–Hochelaga-Maisonneuve.
• C. Waterloo station
  Waterloo station is a major central London railway terminus and Underground hub, known as one of the busiest transport interchanges in the United Kingdom.
• D. Jean-Drapeau station
  Jean-Drapeau station is a Montreal Metro station on Île Sainte-Hélène that serves Parc Jean-Drapeau and nearby attractions such as the La Ronde amusement park.
• E. Concorde metro station
  Concorde metro station is a Paris Métro station in central Paris, located near Place de la Concorde and serving as an interchange between several key metro lines.
• F. None of above. chosen