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: Our operations are directly affected in the short-term by the weather conditions in certain of our regions of operation, particularly along coastal areas in the United States, which may be subject to hurricanes. Weather conditions, including tornadoes, significant rain, snow, sleet, freezing rain or ice, or other factors beyond our control, such as wildfires, could disrupt patient scheduling, displace our patients and caregivers or force certain of our facilities to close temporarily or for an extended period of time, thereby reducing patient volumes. Therefore, our business is sensitive to the weather conditions of these regions. Moreover, physical effects of climate change such as increases in temperature, sea levels, the severity of weather events and the frequency of natural disasters, such as hurricanes, tropical storms, tornadoes, wildfires, floods and earthquakes, among other effects, could disrupt our operations. While we have disaster recovery systems and business continuity plans in place, any disruptions in our disaster recovery systems or the failure of these systems to operate as expected could, depending on the magnitude of the problem, adversely affect our operating results by limiting our capacity to effectively monitor and control our operations. Although we maintain insurance coverage, we cannot guarantee that our insurance coverage will be adequate to cover any losses or that we will be able to maintain insurance at a reasonable cost in the future. Accordingly, our operating results may vary from quarter to quarter, depending on the impact of these weather conditions, and if our losses from business interruption or property damage that result from such weather conditions exceed the amount for which we are insured, our results of operations and financial condition would be adversely affected.
Assistant: