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: Negative trends in the general economy, including rising interest rates and commodity prices, could cause a downturn in the markets for our products and services. A significant portion of our revenues in the Diversified Industrial segment are received from customers in transportation, oil and gas exploration and construction-related industries, which have experienced significant financial downturns in the past. These industries are cyclical, and demand for their products tends to fluctuate due to changes in national and global economic conditions, availability of credit and other factors. A worsening of customer demand in these industries would adversely affect our revenues, profitability, operating results, cash flows and could lead to further impairments. In our Energy segment, the level of oil and natural gas exploration and production activity in the U.S. is affected by the price of oil. Reduced discovery rates of new oil and natural gas reserves, or a decrease in the development rate of reserves in our market areas, weakness in oil and natural gas prices, or our customers' perceptions that oil and natural gas prices will decrease in the future, could result in a reduction in the utilization of our equipment and result in lower revenues or rates for the services of our Energy segment. Our customers' willingness to undertake these activities depends largely upon prevailing industry conditions that are influenced by many factors over which we have no control. Our Financial Services segment could be impacted by tightening of the credit markets and other general economic declines that could result in a decrease in lending and demand for consumer loans. We may also experience a slowdown if some customers experience difficulty in obtaining adequate financing due to tightness in the credit markets. Furthermore, the financial stability of our customers or suppliers may be compromised, which could result in additional bad debts for us or non-performance by suppliers. Our assets may also be impaired or subject to write-down or write-off as a result of these conditions. These adverse effects would likely be exacerbated if global economic conditions worsen, resulting in wide-ranging, adverse and prolonged effects on general business conditions, and materially and adversely affect our operations, financial results and liquidity.
Assistant: