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: The Company intends to continue to acquire apartment multifamily properties. However, there are risks that acquisitions will fail to meet the Company’s expectations. The Company’s estimates of future income, expenses and the costs of improvements or redevelopment that are necessary to allow the Company to market an acquired apartment community as originally intended may prove to be inaccurate. In addition, following an acquisition, the value and operational performance of an apartment community may be diminished if obsolescence or neighborhood changes occur before we are able to redevelop or sell the community. Also, in connection with such acquisitions, we may assume unknown liabilities, which could ultimately lead to material costs for us that we did not expect to incur. The Company expects to finance future acquisitions, in whole or in part, under various forms of secured or unsecured financing or through the issuance of partnership units by the Operating Partnership or related partnerships or joint ventures or additional equity by the Company. The use of equity financing, rather than debt, for future developments or acquisitions could dilute the interest of the Company’s existing stockholders. If the Company finances new acquisitions under existing lines of credit, there is a risk that, unless the Company obtains substitute financing, the Company may not be able to undertake additional borrowing for further acquisitions or developments or such borrowing may be not available on advantageous terms.
Assistant: