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: Terminal 2 | Statement: [São Paulo–Guarulhos International Airport, terminal, Terminal 2]

Target entity: Terminal 2
Context triple: [São Paulo–Guarulhos International Airport, terminal, Terminal 2]

• A. Terminal 2
  Terminal 2 is one of the passenger terminals at Chicago O'Hare International Airport, serving various domestic and regional flights with multiple concourses and airline operations.
• B. Terminal 2
  Terminal 2 is a major passenger terminal at Indira Gandhi International Airport in Delhi, India, handling domestic flight operations.
• C. Terminal 2
  Terminal 2 is a major passenger terminal at Munich Airport, primarily serving Lufthansa and its Star Alliance partners with modern facilities and efficient transfer connections.
• D. Terminal 2
  Terminal 2 is the main international passenger terminal at Addis Ababa Bole International Airport, handling most of the airport’s long-haul and connecting flights.
• E. Terminal 2
  Terminal 2 is a major passenger terminal at Changsha Huanghua International Airport, serving as one of the airport’s primary facilities for domestic and international flights.
• 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: Terminal 2
Triple: [São Paulo–Guarulhos International Airport, terminal, Terminal 2]

Terminal 2 is one of the main passenger terminals at São Paulo–Guarulhos International Airport, handling a large share of the airport’s domestic and international flights.

Target entity: Terminal 2
Target entity description: Terminal 2 is one of the main passenger terminals at São Paulo–Guarulhos International Airport, handling a large share of the airport’s domestic and international flights.

• A. Terminal 2 chosen
  Terminal 2 is one of the main passenger terminals at São Paulo–Guarulhos International Airport, handling a large share of the airport’s domestic and international flights.
• B. Terminal 2
  Terminal 2 is one of the main passenger terminals at Rio de Janeiro–Galeão International Airport, handling a large share of the airport’s domestic and international flights.
• C. Terminal 2
  Terminal 2 is a major passenger terminal at San Diego International Airport that handles a large share of the airport’s domestic and international flights.
• D. Terminal 2
  Terminal 2 is one of the main passenger terminals at Adolfo Suárez Madrid–Barajas Airport, serving numerous domestic and international flights with check-in, boarding, and baggage facilities.
• E. Terminal 2
  Terminal 2 is one of the main passenger terminals at Soekarno–Hatta International Airport in Jakarta, serving a large share of the airport’s domestic and international flights.
• F. None of above.