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: While we seek to partner with organizations that mitigate their business risks associated with climate change, we recognize that there are inherent risks wherever business is conducted. Access to clean water and reliable energy in the communities where we conduct our business, whether for our offices or for our vendors, is a priority. Our major sites in Miami, Florida, Los Angeles, California and Tempe, Arizona are vulnerable to climate change effects. For example, in Florida, residents are facing increasing flood risk and storm intensity. This is especially evident in Miami, due to its low-lying topography, porous limestone, dense coastal development and encroaching seas. In California, increasing intensity of drought throughout the state and annual periods of wildfire danger increase the probability of planned power outages in the communities where we work and live. While this danger has a low-assessed risk of disrupting normal business operations, it has the potential impact on employees’ abilities to commute to work or to work from home and stay connected effectively. Climate-related events, including the increasing frequency of extreme weather events and their impact on critical infrastructure throughout the United States and in other countries where we have operations, have the potential to disrupt our business, our third-party suppliers and/or the business of our customers, and may cause us to experience higher attrition, losses and additional costs to maintain or resume our EV charging operations.
Assistant: