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: Havre–Caumartin (Paris Métro) | Statement: [Auber, connectedTo, Havre–Caumartin (Paris Métro)]

Target entity: Havre–Caumartin (Paris Métro)
Context triple: [Auber, connectedTo, Havre–Caumartin (Paris Métro)]

• A. Pont Neuf (Paris Métro)
  Pont Neuf is a Paris Métro station on Line 7 located near the historic Pont Neuf bridge and the Right Bank of the Seine in central Paris.
• B. Richelieu–Drouot metro station
  Richelieu–Drouot metro station is a Paris Métro station in the 2nd arrondissement, serving as a key interchange between lines 8 and 9 near the Grands Boulevards and several major theaters.
• C. Hôtel de Ville (Paris Métro)
  Hôtel de Ville is a major Paris Métro interchange station in central Paris, serving lines 1 and 11 near the historic city hall and the busy shopping district.
• D. Pont Marie (Paris Métro)
  Pont Marie (Paris Métro) is a station on Line 7 of the Paris Métro serving the Île Saint-Louis area in the 4th arrondissement along the right bank of the Seine.
• E. Bir-Hakeim (Paris Métro)
  Bir-Hakeim is a Paris Métro station on Line 6, notable for its elevated tracks and proximity to the Eiffel Tower.
• 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: Havre–Caumartin (Paris Métro)
Triple: [Auber, connectedTo, Havre–Caumartin (Paris Métro)]

Havre–Caumartin is a Paris Métro station in the city center, serving lines 3 and 9 near the Opéra and major department stores, and forming part of a key interchange complex with nearby RER and Métro stations.

Target entity: Havre–Caumartin (Paris Métro)
Target entity description: Havre–Caumartin is a Paris Métro station in the city center, serving lines 3 and 9 near the Opéra and major department stores, and forming part of a key interchange complex with nearby RER and Métro stations.

• A. Pont Neuf (Paris Métro)
  Pont Neuf is a Paris Métro station on Line 7 located near the historic Pont Neuf bridge and the Right Bank of the Seine in central Paris.
• B. Richelieu–Drouot metro station
  Richelieu–Drouot metro station is a Paris Métro station in the 2nd arrondissement, serving as a key interchange between lines 8 and 9 near the Grands Boulevards and several major theaters.
• C. Hôtel de Ville (Paris Métro)
  Hôtel de Ville is a major Paris Métro interchange station in central Paris, serving lines 1 and 11 near the historic city hall and the busy shopping district.
• D. Pont Marie (Paris Métro)
  Pont Marie (Paris Métro) is a station on Line 7 of the Paris Métro serving the Île Saint-Louis area in the 4th arrondissement along the right bank of the Seine.
• E. Bir-Hakeim (Paris Métro)
  Bir-Hakeim is a Paris Métro station on Line 6, notable for its elevated tracks and proximity to the Eiffel Tower.
• F. None of above. chosen