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: Class 78 electric multiple unit | Statement: [Flytoget, rollingStock, Class 78 electric multiple unit]

Target entity: Class 78 electric multiple unit
Context triple: [Flytoget, rollingStock, Class 78 electric multiple unit]

• A. Class 71 electric multiple unit
  The Class 71 electric multiple unit is a high-speed Norwegian train type used primarily for Flytoget’s airport express services between Oslo and Oslo Airport Gardermoen.
• B. Class 700 electric multiple unit
  The Class 700 electric multiple unit is a modern high-capacity commuter train used on Thameslink and related services in the UK, designed for intensive suburban and cross-London operations.
• C. Class 365 electric multiple unit
  The Class 365 electric multiple unit is a British dual-voltage commuter train type introduced in the 1990s for high-frequency suburban and regional services, primarily around London and the southeast.
• D. Class 720 EMU
  The Class 720 EMU is a modern British electric multiple unit train built for high-capacity commuter and regional services, primarily operated in East Anglia.
• E. M7 electric multiple unit
  The M7 electric multiple unit is a modern commuter rail car class built for high-frequency, third-rail electrified service, notably operating on New York’s Long Island Rail Road and similar regional rail networks.
• 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: Class 78 electric multiple unit
Triple: [Flytoget, rollingStock, Class 78 electric multiple unit]

The Class 78 electric multiple unit is a high-speed airport express train used by the Norwegian operator Flytoget to provide fast rail connections between Oslo and Oslo Airport.

Target entity: Class 78 electric multiple unit
Target entity description: The Class 78 electric multiple unit is a high-speed airport express train used by the Norwegian operator Flytoget to provide fast rail connections between Oslo and Oslo Airport.

• A. Class 71 electric multiple unit
  The Class 71 electric multiple unit is a high-speed Norwegian train type used primarily for Flytoget’s airport express services between Oslo and Oslo Airport Gardermoen.
• B. Class 700 electric multiple unit
  The Class 700 electric multiple unit is a modern high-capacity commuter train used on Thameslink and related services in the UK, designed for intensive suburban and cross-London operations.
• C. Class 365 electric multiple unit
  The Class 365 electric multiple unit is a British dual-voltage commuter train type introduced in the 1990s for high-frequency suburban and regional services, primarily around London and the southeast.
• D. Class 720 EMU
  The Class 720 EMU is a modern British electric multiple unit train built for high-capacity commuter and regional services, primarily operated in East Anglia.
• E. M7 electric multiple unit
  The M7 electric multiple unit is a modern commuter rail car class built for high-frequency, third-rail electrified service, notably operating on New York’s Long Island Rail Road and similar regional rail networks.
• F. None of above. chosen