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: Baylor University Medical Center station | Statement: [DART Green Line, hasStation, Baylor University Medical Center station]

Target entity: Baylor University Medical Center station
Context triple: [DART Green Line, hasStation, Baylor University Medical Center station]

• A. North Lake College station
  North Lake College station is a Dallas Area Rapid Transit (DART) light rail stop serving the North Lake College area in the Las Colinas community of Irving, Texas.
• B. San Antonio station
  San Antonio station is a historic Amtrak rail hub in downtown San Antonio, Texas, serving multiple long-distance passenger routes.
• C. Ballston–MU station
  Ballston–MU station is an underground Washington Metro station in Arlington, Virginia, serving the Orange and Silver Lines and the Ballston neighborhood near Marymount University.
• D. Downtown Garland Station
  Downtown Garland Station is a major Dallas Area Rapid Transit (DART) transit center in Garland, Texas, serving as a key rail and bus connection point for commuters in the northeastern Dallas metropolitan area.
• E. Downtown Plano Station
  Downtown Plano Station is a light rail and bus transit hub in Plano, Texas, serving Dallas Area Rapid Transit’s Red and Orange Lines and connecting the city’s historic downtown with the greater Dallas–Fort Worth area.
• 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: Baylor University Medical Center station
Triple: [DART Green Line, hasStation, Baylor University Medical Center station]

Baylor University Medical Center station is a Dallas Area Rapid Transit (DART) light rail stop in Dallas, Texas, serving the nearby Baylor University Medical Center and surrounding area.

Target entity: Baylor University Medical Center station
Target entity description: Baylor University Medical Center station is a Dallas Area Rapid Transit (DART) light rail stop in Dallas, Texas, serving the nearby Baylor University Medical Center and surrounding area.

• A. North Lake College station
  North Lake College station is a Dallas Area Rapid Transit (DART) light rail stop serving the North Lake College area in the Las Colinas community of Irving, Texas.
• B. San Antonio station
  San Antonio station is a historic Amtrak rail hub in downtown San Antonio, Texas, serving multiple long-distance passenger routes.
• C. Ballston–MU station
  Ballston–MU station is an underground Washington Metro station in Arlington, Virginia, serving the Orange and Silver Lines and the Ballston neighborhood near Marymount University.
• D. Downtown Garland Station
  Downtown Garland Station is a major Dallas Area Rapid Transit (DART) transit center in Garland, Texas, serving as a key rail and bus connection point for commuters in the northeastern Dallas metropolitan area.
• E. Downtown Plano Station
  Downtown Plano Station is a light rail and bus transit hub in Plano, Texas, serving Dallas Area Rapid Transit’s Red and Orange Lines and connecting the city’s historic downtown with the greater Dallas–Fort Worth area.
• F. None of above. chosen