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: The price and availability of raw materials and key components used to manufacture our products, including electronic components, such as integrated circuits, processors and system on chips, components built into our unique specifications or that are single sourced, as well as manufacturing equipment, tooling, and wood fibers, may fluctuate significantly. In addition, the cost of labor at our third-party manufacturers could increase significantly. For example, manufacturers in China have experienced increased costs in recent years due to shortages of labor and fluctuations of the Chinese yuan in relation to the U.S. dollar. Additionally, the cost of logistics and transportation fluctuates in large part due to the price of oil, global demand and other geopolitical factors. Any fluctuations in the cost and availability of any of our raw materials or other sourcing or transportation costs related to our raw materials or products could harm our gross margins (as was the case in 2021 due to increased freight rates and logistics costs) and our ability to meet customer demand. For example, disruptions to or increases in the cost of local, regional domestic or international transportation services for our products and other forms of infrastructure, such as electricity, due to shortages of vessels, barges, railcars or trucks, weather-related problems, flooding, droughts, accidents, mechanical difficulties, bankruptcy, strikes, lockouts, bottlenecks (such as the recent blockage of the Suez Canal in March 2021) or other events could increase our costs, temporarily impair our ability to deliver products to our customers on time or at all and might, in certain circumstances, constitute a force majeure event under our customer contracts, permitting our customers to suspend taking delivery of and paying for our products or resulting in a charge to us for our customers’ lost profits as a result of our failure to timely deliver our products. Relatedly, some of our contracts with our large retail customers subject us to financial penalties if we fail to ship an order that is on time or in full. If we are unable to successfully mitigate a significant portion of these product cost increases, fluctuations or delays, our results of operations could be harmed.
Assistant: