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: Commercial and industrial loans represented 23.9% of our total loan portfolio at December 31, 2022. These loans are often larger and involve greater risks than other types of lending. Because payments on such loans are often dependent on the successful operation of the business involved, repayment of such loans is often more sensitive than other types of loans to the general business climate and economy. Accordingly, a challenging business and economic environment may increase our risk related to commercial loans. In the current economic environment, the cumulative effects of rising inflation, labor shortages and supply chain constraints and the threat of a recession may adversely affect commercial and industrial loans, especially if general economic conditions worsen. Unlike residential mortgage loans, which generally are made on the basis of the borrowers’ ability to make repayment from their employment and other income and which are secured by real property whose value tends to be more easily ascertainable, commercial loans typically are made on the basis of the borrowers’ ability to make repayment from the cash flow of the commercial venture. Our commercial and industrial loans are primarily made based on the identified cash flow of the borrower and secondarily on the collateral underlying the loans. Most often, this collateral consists of accounts receivable, inventory and equipment. Inventory and equipment may depreciate over time, may be difficult to appraise and may fluctuate in value based on the success of the business. If the cash flow from business operations is reduced, the borrower’s ability to repay the loan may be impaired. Due to the larger average size of each commercial loan as compared with other loans such as residential loans, as well as collateral that is generally less readily-marketable, losses incurred on a small number of commercial loans could have a material adverse effect on our business, financial condition, results of operations and growth prospects.
Assistant: