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 believe that future orders of our products will depend on our ability to maintain the performance, reliability, quality and timely delivery standards required by our customers. We have in the past been and currently are subject to product liability and warranty claims. If our products have performance, reliability or quality problems, or products are installed improperly, we may experience additional warranty expense; reduced or canceled orders; or delays in the collection of accounts receivable. Additionally, product liability and warranty claims could result in costly and time-consuming litigation that could require significant time and attention of management and involve significant monetary damages that could negatively impact our operating results. There is no assurance that the number and value of product liability and warranty claims will not increase as compared to historical claim rates, or that our warranty reserve at any particular time will be sufficient. No assurance can be given that coverage under insurance policies, if applicable, will be adequate to cover future product liability claims against us. If we are unable to recover on insurance claims, in whole or in part, or if we exhaust our available insurance coverage at some point in the future, then we might be forced to expend legal fees and settlement or judgment costs relating to product liability and warranty claims, which could negatively impact our profitability, results of operations, cash flows and financial condition.
Assistant: