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 highly regulated at the federal, state and local level. The food industry in all jurisdictions in which we operate is subject to numerous government standards and regulations. While we believe that we are currently in compliance with all applicable government standards and regulations, there can be no assurance that all of our warehouses or our customers’ operations are currently in compliance with, or will be able to comply in the future with, all applicable standards and regulations or that the costs of compliance will not increase in the future. All real property and the operations conducted on real property are subject to governmental laws and regulations relating to environmental protection and human health and safety. For example, our warehouses are subject to regulation and inspection by the United States Food and Drug Administration and the United States Department of Agriculture and our domestic trucking operations are subject to regulation by the U.S. Department of Transportation and the Federal Highway Administration. In addition, our international facilities are subject to many local laws and regulations which govern a wide range of matters, including food safety, building, environmental, health and safety, hazardous substances, waste minimization, as well as specific requirements for the storage of meats, dairy products, fish, poultry, agricultural and other products. Any products destined for export must also satisfy applicable export requirements. Our ability to operate and to satisfy our contractual obligations may be affected by permitting and compliance obligations arising under such laws and regulations. Some of these laws and regulations could increase our operating costs, result in fines or impose joint and several liability on customers, owners or operators for the costs to investigate or remediate contamination, regardless of fault or whether the acts causing the contamination were legal.
Assistant: