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 business is subject to a complicated set of federal, state, and local laws and regulations as well as stakeholder views addressing, among other things, wage and hour standards, employment and labor relations, ESG-related practices, leave of absence, cybersecurity, data privacy and protection, occupational health and safety, environmental matters, anti-competition, anti-corruption, and government contracting. Many of these laws and regulations may have differing or conflicting legal standards or legal interpretations across jurisdictions, increasing the complexity and cost of compliance. When federal, state, local, or foreign minimum wage rates increase, we may have to increase the wages of both minimum wage employees and employees whose wages are above the minimum wage. We may also face increased operating costs resulting from changes in federal, state, or local laws and regulations relating to employment matters, including those relating to meal and rest breaks, eligibility for overtime, pay transparency and reporting, sick pay, and predictive scheduling requirements. In addition, we expect there will likely be increasing levels of regulation, disclosure-related and otherwise, with respect to ESG matters, and increased regulation will likely lead to increased compliance costs as well as scrutiny that could heighten all of the risks identified in this risk factor. Increased costs of legal and regulatory compliance with this constantly evolving legal and regulatory environment could reduce our profitability and adversely affect our financial condition.
Assistant: