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: We attempt to ensure that all of our properties are adequately insured to cover casualty losses. However, there are certain losses, including losses from floods, earthquakes, wildfires, acts of war, acts of terrorism or riots, that are not generally insured against or that are not generally fully insured against because it is not deemed economically feasible or prudent to do so. In addition, changes in the cost or availability of insurance could expose us to uninsured casualty losses. In the event that any of our properties incurs a casualty loss that is not fully covered by insurance, the value of our assets will be reduced by the amount of any such uninsured loss, and we could experience a significant loss of capital invested and potential revenue in these properties and could potentially remain obligated under any recourse debt associated with the property. Moreover, we, as the general partner of our operating partnership, generally will be liable for all of our operating partnership’s unsatisfied recourse obligations, including any obligations incurred by our operating partnership as the general partner of joint ventures. Any such losses could adversely affect our financial condition, results of operations, cash flows and ability to pay distributions on, and the per share trading price of, our stock. In addition, we may have no source of funding to repair or reconstruct the damaged property, and we cannot assure you that any such sources of funding will be available to us for such purposes in the future. We evaluate our insurance coverage annually in light of current industry practice through an analysis prepared by outside consultants.
Assistant: