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: Unfavorable weather conditions may reduce demand and negatively impact sales of certain of the Company’s products. Unfavorable weather, including conditions caused in part by climate change, in any particular geographic region may have an adverse effect on sales of the Company’s products in that region. For example, lack of snowfall during winter may materially adversely affect snowmobile sales; excessive rain before and during spring and summer may materially adversely affect sales of off-road vehicles and boats; a lack of rain in certain areas may limit boat usage and may materially adversely affect sales of boats; and wild fires can limit areas where our customers ride our off-road vehicles. Weather conditions may also disrupt our manufacturing and distribution facilities and our supply chain, which could impact our ability to manufacture products to fulfill customer demand. Such disruptions could be caused by natural disasters, inclement weather and/or climate change-related events, such as tornadoes, hurricanes, earthquakes, floods, tsunamis, typhoons, drought, fire, other extreme weather conditions or natural disasters and events that occur as a result of such events, such as water and natural resource shortages, power outages or shortages, or telecommunications failures. These weather conditions could pose physical risks to our facilities and critical infrastructure in the U.S. and internationally, disrupt the operation of our supply chain and third-party vendors, and may impact operational results.
Assistant: