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: Cap-and-Trade Program for greenhouse gases | Statement: [California Air Resources Board, implements, Cap-and-Trade Program for greenhouse gases]

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: Cap-and-Trade Program for greenhouse gases
Triple: [California Air Resources Board, implements, Cap-and-Trade Program for greenhouse gases]

The Cap-and-Trade Program for greenhouse gases is a market-based regulatory system that sets an overall emissions limit and allows companies to buy and sell allowances to incentivize cost-effective reductions in climate pollution.