System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: NEP's strategy includes growing its business through the acquisition of existing clean energy projects, including partial ownership interests. The acquisition of existing clean energy projects involves numerous risks, including, but not limited to, exposure to existing liabilities and unanticipated post-acquisition costs associated with the pre-acquisition activities by the project, difficulty in integrating the acquired projects into NEP's business and, if the projects are in new markets, the risks of entering markets where NEP has limited experience. Additionally, NEP risks overpaying for such projects or not making acquisitions on an accretive basis. Although NEP performs due diligence on prospective acquisitions, NEP may not discover all potential risks, operational issues or other issues in such projects. Further, the integration and consolidation of acquisitions require substantial human, financial and other resources and, ultimately, NEP's acquisitions may divert NEP's management’s attention from its existing business concerns, disrupt its ongoing business or not be successfully integrated. Future acquisitions might not perform as expected or the returns from such acquisitions might not support the financing utilized to acquire or maintain them. A failure to achieve the financial returns NEP expects when NEP acquires clean energy projects could have a material adverse effect on NEP's business, financial condition, results of operations and ability to grow its business and make cash distributions to its unitholders.
Assistant: