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: Network Exposure Function (NEF) | Statement: [Npcf, relatedTo, Network Exposure Function (NEF)]

Target entity: Network Exposure Function (NEF)
Context triple: [Npcf, relatedTo, Network Exposure Function (NEF)]

• A. Network Exposure Function chosen
  The Network Exposure Function (NEF) is a 5G core network component that securely exposes network capabilities and events to external applications and services via standardized APIs.
• B. N1 Service Provisioning System
  N1 Service Provisioning System is a Sun software platform that automates the deployment, configuration, and lifecycle management of services and applications across distributed IT environments.
• C. Access and Mobility Management Function
  The Access and Mobility Management Function (AMF) is a key 5G core network control-plane function responsible for user equipment registration, connection and mobility management, and access authentication.
• D. Next Generation Network architectures
  Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
• E. Network Slice Selection Function
  The Network Slice Selection Function (NSSF) is a 5G core network function that determines and assigns the appropriate network slice for user equipment based on subscription, service requirements, and network policies.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.