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: Natural Language framework | Statement: [Core ML, integratesWith, Natural Language framework]

Target entity: Natural Language framework
Context triple: [Core ML, integratesWith, Natural Language framework]

• A. NLG
  NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
• B. NLU
  NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
• C. Language Technology Unit
  The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
• D. “A Computer Program for Understanding Natural Language”
  “A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
• E. General and Rational Grammar
  General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
• 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: Natural Language framework
Triple: [Core ML, integratesWith, Natural Language framework]

The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.

Target entity: Natural Language framework
Target entity description: The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.

• A. NLG
  NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
• B. NLU
  NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
• C. Language Technology Unit
  The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
• D. “A Computer Program for Understanding Natural Language”
  “A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
• E. General and Rational Grammar
  General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
• F. None of above. chosen