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: Aeroport T2 station | Statement: [Metro line L9 Sud, hasStation, Aeroport T2 station]

Target entity: Aeroport T2 station
Context triple: [Metro line L9 Sud, hasStation, Aeroport T2 station]

• A. Aeroport T1 station
  Aeroport T1 station is a Barcelona Metro station serving Terminal 1 of Barcelona–El Prat Airport on line L9 Sud.
• B. Aeropuerto T4 station
  Aeropuerto T4 station is a Madrid Metro station serving Terminal 4 of Adolfo Suárez Madrid–Barajas Airport, providing a key rail link between the airport and the city.
• C. Aeroport metro station
  Aeroport metro station is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Aeroport District in the city’s north.
• D. CDG Terminal 2
  CDG Terminal 2 is a major multi-hall passenger terminal complex at Paris Charles de Gaulle Airport that serves numerous international and domestic flights, including many operated by Air France and its partners.
• E. Aéroport Charles de Gaulle 2 TGV station
  Aéroport Charles de Gaulle 2 TGV station is a major high-speed rail hub integrated into Paris Charles de Gaulle Airport, providing direct TGV and other long-distance train connections to cities across France and neighboring countries.
• 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: Aeroport T2 station
Triple: [Metro line L9 Sud, hasStation, Aeroport T2 station]

Aeroport T2 station is a Barcelona Metro stop on the L9 Sud line serving Terminal 2 of Barcelona–El Prat Airport.

Target entity: Aeroport T2 station
Target entity description: Aeroport T2 station is a Barcelona Metro stop on the L9 Sud line serving Terminal 2 of Barcelona–El Prat Airport.

• A. Aeroport T1 station
  Aeroport T1 station is a Barcelona Metro station serving Terminal 1 of Barcelona–El Prat Airport on line L9 Sud.
• B. Aeropuerto T4 station
  Aeropuerto T4 station is a Madrid Metro station serving Terminal 4 of Adolfo Suárez Madrid–Barajas Airport, providing a key rail link between the airport and the city.
• C. Aeroport metro station
  Aeroport metro station is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Aeroport District in the city’s north.
• D. CDG Terminal 2
  CDG Terminal 2 is a major multi-hall passenger terminal complex at Paris Charles de Gaulle Airport that serves numerous international and domestic flights, including many operated by Air France and its partners.
• E. Aéroport Charles de Gaulle 2 TGV station
  Aéroport Charles de Gaulle 2 TGV station is a major high-speed rail hub integrated into Paris Charles de Gaulle Airport, providing direct TGV and other long-distance train connections to cities across France and neighboring countries.
• F. None of above. chosen