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: north–south cross-city RER axis via central Paris | Statement: [MI 79, networkSegment, north–south cross-city RER axis via central Paris]

Target entity: north–south cross-city RER axis via central Paris
Context triple: [MI 79, networkSegment, north–south cross-city RER axis via central Paris]

• A. Paris–Saint-Lazare – western suburbs axis
  Paris–Saint-Lazare – western suburbs axis is a major commuter rail corridor linking Paris’s Saint-Lazare station with the city’s western suburban areas.
• B. RER C and RER D lines junction chosen
  The RER C and RER D lines junction is a major interchange point in the southern Paris suburban rail network where two key RER lines intersect, facilitating transfers and regional connectivity.
• C. RER A at Châtelet–Les Halles
  RER A at Châtelet–Les Halles is a major Paris regional express rail line serving one of the city’s largest and busiest underground transport hubs, providing high-capacity connections between central Paris and its suburbs.
• D. RER A at La Défense
  RER A at La Défense is a major Paris regional express rail line station serving the La Défense business district and acting as a key interchange between suburban, metro, and tramway services.
• E. RER network
  The RER network is a rapid transit system of express suburban trains serving Paris and its surrounding metropolitan area, integrating both urban and regional rail services.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.