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 operate on a global basis, and approximately 69% of our net revenues from continuing operations in fiscal 2023, were generated outside North America. We have employees in more than 36 countries, and we market, sell and distribute our products in over 126 countries and territories. Our presence in such geographies has expanded as a result of our acquisitions, as well as organic growth, and we are exposed to risks inherent in operating in geographies in which we have not operated in or have been less present in the past. Non-U.S. operations are subject to many risks and uncertainties, including ongoing instability or changes in a country’s or region’s economic, regulatory or political conditions, including inflation, recession, interest rate fluctuations, sovereign default risk and actual or anticipated military or political conflicts (including any other change resulting from Brexit), labor market disruptions, sanctions, boycotts, new or increased tariffs, quotas, exchange or price controls, trade barriers or other restrictions on foreign businesses, our failure to effectively and timely implement processes and policies across our diverse operations and employee base and difficulties and costs associated with complying with a wide variety of complex and potentially conflicting regulations across multiple jurisdictions. Non-U.S. operations also increase the risk of non-compliance with U.S. laws and regulations applicable to such non-U.S. operations, such as those relating to sanctions, boycotts and improper payments.
Assistant: