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 are subject to applicable rules and regulations relating to our relationship with our employees, including minimum wage and break requirements, health benefits, unemployment and sales taxes, overtime, and working conditions and immigration status. Legislated increases in the federal minimum wage and increases in additional labor cost components, such as employee benefit costs, workers’ compensation insurance rates, compliance costs and fines, as well as the cost of litigation in connection with these regulations, would increase our labor costs. Unionizing and collective bargaining efforts have received increased attention nationwide in recent periods. Should our employees become represented by unions, we would be obligated to bargain with those unions with respect to wages, hours, and other terms and conditions of employment, which is likely to increase our labor costs. Moreover, as part of the process of union organizing and collective bargaining, strikes and other work stoppages may occur, which would cause disruption to our business. Similarly, many employers nationally in similar retail environments have been subject to actions brought by governmental agencies and private individuals under wage-hour laws on a variety of claims, such as improper classification of workers as exempt from overtime pay requirements and failure to pay overtime wages properly, with such actions sometimes brought as class actions. These actions can result in material liabilities and expenses. Should we be subject to employment litigation, such as actions involving wage-hour, overtime, break, and working time, it may distract our management from business matters and result in increased labor costs. In addition, we currently sponsor employer-subsidized premiums for major medical programs for eligible personnel who elect health care coverage through our insurance programs. As a result of regulatory changes, we may not be able to continue to offer health care coverage to our employees on affordable terms or at all and subsequently may face increased difficulty in hiring and retaining employees. If we are unable to locate, attract, train, or retain
Assistant: