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 3 | Statement: [Bremen Airport, hasPassengerTerminal, Terminal 3]

Target entity: Terminal 3
Context triple: [Bremen Airport, hasPassengerTerminal, Terminal 3]

• A. Terminal 3
  Terminal 3 is one of the main passenger terminals at Phoenix Sky Harbor International Airport, serving as a hub for multiple domestic and some international flights with modernized facilities and amenities.
• B. Terminal 3
  Terminal 3 is a major domestic passenger terminal at San Francisco International Airport, primarily serving United Airlines and its partners.
• C. Terminal 3
  Terminal 3 is one of the passenger terminals at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, serving as part of the airport’s main complex for domestic and international flights.
• D. Terminal 3
  Terminal 3 is a major passenger terminal facility at Guangzhou Baiyun International Airport, serving as one of its primary hubs for domestic and international air travel.
• E. Terminal 3
  Terminal 3 is a major passenger terminal at Xi'an Xianyang International Airport, serving as one of its 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 3
Triple: [Bremen Airport, hasPassengerTerminal, Terminal 3]

Terminal 3 is one of the passenger terminals at Bremen Airport in Germany, serving travelers with check-in, boarding, and related airport services.

Target entity: Terminal 3
Target entity description: Terminal 3 is one of the passenger terminals at Bremen Airport in Germany, serving travelers with check-in, boarding, and related airport services.

• A. Terminal 3
  Terminal 3 is a major new passenger terminal development at Frankfurt Airport designed to expand capacity and modernize the airport’s facilities.
• B. Terminal 3
  Terminal 3 is a major passenger terminal at an airport, typically serving as a hub for numerous domestic and international flights with extensive check-in, security, and boarding facilities.
• C. Terminal 3
  Terminal 3 is one of the passenger terminals at Manchester Airport, serving a range of domestic and international flights with dedicated check-in, security, and boarding facilities.
• D. Terminal 3
  Terminal 3 is a major passenger terminal at Wuhan Tianhe International Airport, serving as a key hub for domestic and international air travel in central China.
• E. Terminal 3
  Terminal 3 is a passenger terminal at Lyon–Saint-Exupéry Airport in France, serving as one of the airport’s facilities for handling travelers and their flights.
• F. None of above. chosen