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 we pay to purchase shell eggs from farmers fluctuates based on pallet weight and is also adjusted quarterly for changes in feed cost, which may cause our agreed-upon pricing under these contracts to fluctuate on a quarterly basis. Therefore, our results of operations and financial condition, including our gross margin and profitability, fluctuate based on the cost and supply of commodities, including corn, soybean meal and other feed ingredients. Although feed ingredients are available from a number of sources, we have little, if any, control over the prices of these ingredients, which are affected by weather, speculators, export restrictions, various supply and demand factors, geopolitical tensions, inflation, transportation and storage costs, and agricultural and energy policies in the United States and internationally. We have seen increased prices for conventional and organic corn and soybean crops on a global basis, including increased prices resulting from the Russia-Ukraine war and measures taken in response thereto, inflation and supply chain shortages. It is possible that ongoing conflicts in the Middle East and elsewhere may have similar effects. We have entered into commodity derivative instrument contracts related to conventional feed ingredients. If we are unable to successfully conduct this program to reduce the impact of commodity price fluctuations, our financial condition and results of operations may be impacted.
Assistant: