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: If a borrower becomes bankrupt or insolvent or defaults under its loan, that could force us to declare a default and foreclose on any available collateral. As a result, future interest income recognition related to the applicable note receivable could be significantly reduced or eliminated. There is also a risk that the fair value of the collateral, if any, will be less than the carrying value of the note and accrued interest receivable at the time of a foreclosure and we may have to take a charge against earnings. If a property serves as collateral for a note, we may experience costs and delays in recovering the property in foreclosure or finding a substitute operator for the property. If a mortgage we hold is subordinated to senior financing secured by the property, our recovery would be limited to any amount remaining after satisfaction of all amounts due to the holder of the senior financing. In addition, to protect our subordinated investment, we may desire to refinance any senior financing. However, there is no assurance that such refinancing would be available or, if it were to be available, that the terms would be attractive. We experienced borrower defaults resulting from the COVID-19 pandemic, and we may experience future defaults, the breadth of which will depend upon the scope, severity and duration of the COVID-19 pandemic. One or more of our borrowers may become bankrupt or insolvent as a result of this reduced economic activity. The ultimate extent to which the COVID-19 pandemic impacts the operations of our borrowers will depend on future developments, which, as discussed above, are highly uncertain and cannot be predicted with confidence.
Assistant: