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: [Rio de Janeiro–Galeão International Airport, hasTerminal, Terminal 2]

Target entity: Terminal 2
Context triple: [Rio de Janeiro–Galeão International Airport, hasTerminal, Terminal 2]

• A. Terminal 2
  Terminal 2 is a major passenger terminal at Ronald Reagan Washington National Airport serving numerous domestic airline operations and traveler amenities.
• B. Terminal 2
  Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
• C. Terminal 2
  Terminal 2 is one of the main passenger terminals at Ontario International Airport in Southern California, serving domestic airline operations and traveler services.
• D. 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.
• E. Terminal 2
  Terminal 2 is a major passenger terminal at Daniel K. Inouye International Airport in Honolulu, serving as a primary hub for many of the airport’s 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: [Rio de Janeiro–Galeão International Airport, hasTerminal, 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.

Target entity: Terminal 2
Target entity description: 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.

• A. 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.
• B. Terminal 2
  Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
• C. 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.
• D. Terminal 2
  Terminal 2 is a major passenger terminal at Shanghai Pudong International Airport, serving as one of the airport’s primary hubs for domestic and international flights.
• E. Terminal 2
  Terminal 2 is one of the main passenger terminals at Nice Côte d’Azur Airport, handling a large share of its domestic and international flights.
• F. None of above. chosen