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 real estate properties are carried at cost less depreciation unless circumstances indicate that the carrying value of these assets may not be recoverable. We routinely evaluate whether there are any impairment indicators, including property operating performance, property occupancy trends, and actual marketing or listing price of properties being targeted for disposition, such that the value of the real estate properties (including any related tangible or intangible assets or liabilities) may not be recoverable. If, through our evaluation, we determine that a given asset exhibits such indicator, we then compare the current carrying value of the asset to the estimated undiscounted cash flows that are directly associated with the use and ultimate disposition of the asset. Our estimated cash flows are based on several key assumptions, including rental rates, costs of Neighbor improvements, leasing commissions, anticipated holding periods, and assumptions regarding the residual value upon disposition, including the estimated exit capitalization rate. These key assumptions are subjective in nature and may differ materially from actual results. Changes in our disposition strategy or changes in the marketplace may alter the holding period of an asset or asset group, which may result in an impairment loss and such loss may be material to our financial condition or operating performance. To the extent that the carrying value of the asset exceeds the estimated undiscounted cash flows, an impairment loss is recognized equal to the excess of carrying value over fair value.
Assistant: