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: We monitor events or changes in circumstances that could indicate the carrying value of a long-lived asset may not be recoverable. We use significant judgement in assessing events or circumstances which might indicate impairment, including but not limited to, changes in our intent to hold a long-lived asset over its previously estimated useful life. Changes in our intent to hold a long-lived asset has a significant impact on the estimated undiscounted cash flows expected to result from the use and eventual disposition of a long-lived asset and whether a potential impairment loss shall be measured. When indicators of potential impairment are present that suggest that the carrying amounts of a long-lived asset may not be recoverable, we assess the recoverability of the asset by determining whether the asset’s carrying value will be recovered through the estimated undiscounted future cash flows expected from our use and its eventual disposition. In the event that such undiscounted future cash flows do not exceed the carrying value, we adjust the carrying value of the long-lived asset to its estimated fair value and recognize an impairment loss. The estimated fair value is calculated based on the following information, in order of preference, depending upon availability: (Level 1) recently quoted market prices, (Level 2) market prices for comparable properties, or (Level 3) the present value of future cash flows, including estimated salvage value. Certain of our long-lived assets may be carried at more than an amount that could be realized in a current disposition transaction. Projections of expected future operating cash flows require that we estimate future market rental income amounts subsequent to expiration of current lease agreements, property operating expenses, the number of months it takes to re-lease the property, and the number of years the property is held for investment, among other factors. As these assumptions are subject to economic and market uncertainties, they are difficult to predict and are subject to future events that may alter the assumptions used or management’s estimates of future possible outcomes. Therefore, the future cash flows estimated in our impairment analyses may not be achieved.
Assistant: