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 may incur mortgage debt and pledge all or some of our real properties as security for that debt to finance newly acquired properties or capital contributions to joint ventures, or to fund retenanting and redevelopment projects. As of December 31, 2019, we were required to provide mortgages to the lender under our term loan facility on a majority of our portfolio. This restriction, together with the other provisions of the Term Loan Facility, will limit our ability to obtain additional secured financing using such properties as collateral. We may also borrow if we need funds or deem it necessary or advisable to ensure that we maintain our qualification as a REIT for U.S. federal income tax purposes. If there is a shortfall between the cash flow from a property and the cash flow needed to service mortgage debt on a property, then the amount available for distributions to shareholders may be reduced. In addition, incurring mortgage debt increases the risk of loss since defaults on indebtedness secured by a property may result in lenders initiating foreclosure actions. In that case, we could lose the property securing the loan that is in default. For U.S. federal income tax purposes, a foreclosure of any of our properties generally would be treated as a sale of the property for a purchase price equal to the outstanding balance of the debt secured by the mortgage. If the outstanding balance of the debt secured by the mortgage exceeds our tax basis in the property, we would recognize taxable income on foreclosure, but would not receive any cash proceeds. In such event, the Company may be unable to pay the amount of distributions required in order to maintain its REIT status. If any mortgages contain cross-collateralization or cross-default provisions, a default on a single property could affect multiple properties. If any properties are foreclosed upon due to a default, our ability to pay cash distributions to our shareholders may be adversely affected.
Assistant: