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 investments are primarily in or relating to real estate-related businesses, assets or interests, including but not limited to real property, common equity, debt and preferred equity. Any deterioration of real estate fundamentals generally, and in the United States in particular, could negatively impact our performance by making it more difficult for entities in which we have an investment requiring periodic payments or a return of capital, or “borrower entities,” to satisfy their payment obligations, increasing the default risk applicable to these entities, and/or making it relatively more difficult for us to generate attractive risk-adjusted returns. Any such deterioration may also make it more difficult for entities in which we have an investment without a specific payment obligation to make distributions or returns of capital to us. Changes in general economic conditions will affect the creditworthiness of borrower entities or other investees and may include economic and/or market fluctuations, changes in environmental, zoning and other laws, casualty or condemnation losses, regulatory limitations on rents, variations in rental income, decreases in property values, changes in the appeal of properties to tenants, changes in supply and demand, fluctuations in real estate fundamentals, energy supply shortages, various uninsured or uninsurable risks, natural disasters, pandemics, changes in government regulations (such as rent control), changes in real property tax rates and operating expenses, changes in interest rates, changes in the availability of debt financing and/or mortgage funds which may render the sale or refinancing of properties difficult or impracticable, increased mortgage defaults, increases in borrowing rates, negative developments in the economy that depress travel activity, demand and/or real estate values generally and other factors that are beyond our control. The value of securities of companies that service the real estate business sector may also be affected by such risks.
Assistant: