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: María Auxiliadora station | Statement: [Lima Metro Line 1, hasStation, María Auxiliadora station]

Target entity: María Auxiliadora station
Context triple: [Lima Metro Line 1, hasStation, María Auxiliadora station]

• A. Francisco Morato station
  Francisco Morato station is a commuter rail station in the municipality of Francisco Morato, São Paulo, serving passengers on CPTM’s Line 7–Rubi.
• B. José León Suárez station
  José León Suárez station is a suburban railway terminus in the Buenos Aires metropolitan area, serving as the endpoint of one of the branches of Argentina’s Mitre Line.
• C. Doroteo Jose station
  Doroteo Jose station is a major elevated station on Manila's LRT Line 1, serving as a key transfer point to Line 2 and a busy access hub for the city's commercial districts.
• D. Pino Suárez station
  Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
• E. Vicente Valdés station
  Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
• 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: María Auxiliadora station
Triple: [Lima Metro Line 1, hasStation, María Auxiliadora station]

María Auxiliadora station is a passenger stop on Line 1 of the Lima Metro rapid transit system in Lima, Peru.

Target entity: María Auxiliadora station
Target entity description: María Auxiliadora station is a passenger stop on Line 1 of the Lima Metro rapid transit system in Lima, Peru.

• A. Francisco Morato station
  Francisco Morato station is a commuter rail station in the municipality of Francisco Morato, São Paulo, serving passengers on CPTM’s Line 7–Rubi.
• B. José León Suárez station
  José León Suárez station is a suburban railway terminus in the Buenos Aires metropolitan area, serving as the endpoint of one of the branches of Argentina’s Mitre Line.
• C. Doroteo Jose station
  Doroteo Jose station is a major elevated station on Manila's LRT Line 1, serving as a key transfer point to Line 2 and a busy access hub for the city's commercial districts.
• D. Pino Suárez station
  Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
• E. Vicente Valdés station
  Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
• F. None of above. chosen