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: Many factors impact the single-family rental market; and if rents in our markets do not increase sufficiently to keep pace with rising costs of operations, our income and distributable cash could decline. The success of our business model depends, in part, on conditions in the single-family rental market in which we operate. One of the possible impacts on our results of operations and key operating metrics due to limitations on our ability to increase rental rates could be a decrease in gross rental revenues and other property income. Our investment strategy is based on assumptions about occupancy levels, rental rates, interest rates, and other factors; and if those assumptions prove to be inaccurate, our cash flows may be reduced. Multiple economic and demographic factors may contribute to increases or decreases in homeownership rates resulting in fluctuating rental rates and average occupancy levels. Revenues earned from our property and asset management services are sensitive to macroeconomic conditions that negatively impact rent collections and the performance of the properties we manage. In addition, we expect that if investors like us increasingly seek to capitalize on opportunities to purchase housing assets and convert them to productive uses, competition in the market for the supply of single-family rental properties may increase and could result in a higher cost to acquire those properties. A softening of the rental market in our core areas would reduce our rental revenue and profitability.
Assistant: