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 continued success and our ability to grow our portfolio and business depend, in large part, upon the efforts of certain of our senior executives, in particular our President and Chief Executive Officer, Peter M. Mavoides, and Gregg A. Seibert, our Executive Vice President and Chief Operating Officer, who have extensive market knowledge and relationships and exercise substantial influence over our operational, financing, acquisition and disposition activity. Many of our executive personnel have extensive experience and strong reputations in the real estate industry and have been important in setting our strategic direction, operating our business, assembling and growing our portfolio, identifying, recruiting and training key personnel, and arranging necessary financing. In particular, the extent and nature of the relationships that these individuals have developed with financial institutions and existing and prospective tenants is important to our growth and the success of our business. The loss of services of one or more members of our management team, including due to the adverse health effects of the COVID-19 pandemic, or our inability to attract and retain highly qualified personnel, could adversely affect our business, diminish our investment opportunities and weaken our relationships with lenders, business partners, existing and prospective tenants and industry personnel, which could materially and adversely affect us.
Assistant: