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 may be a party to various litigation claims and legal proceedings that may include employment, tort, real estate, antitrust, environmental, recycling/sustainability, intellectual property, commercial, securities, false advertising, packaging, product labeling, consumer protection and other claims. We may be a defendant in class action litigation, including litigation regarding employment practices, product labeling, including under California’s “Proposition 65,” public statements and disclosures under securities laws, antitrust, advertising, consumer protection and wage and hour laws. Plaintiffs in class action litigation may seek to recover amounts that are large and may be indeterminable for some period of time. We evaluate litigation claims and legal proceedings to assess the likelihood of unfavorable outcomes and estimate, if possible, the amount of potential losses. We will establish a reserve as appropriate based upon assessments and estimates in accordance with our accounting policies. We will base our assessments, estimates and disclosures on the information available to us at the time and rely on legal and management judgment. Actual outcomes or losses may differ materially from assessments and estimates. Costs to defend litigation claims and legal proceedings and the cost and any required actions arising out of actual settlements, judgments or resolutions of these claims and legal proceedings may negatively affect our business and financial performance. Any adverse publicity resulting from allegations made in litigation claims or legal proceedings may also adversely affect our reputation, which in turn could adversely affect our results of operations.
Assistant: