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: Microphase has a number of fixed-price contracts which allow it to benefit from cost savings but subject it to the risk of potential cost overruns, particularly for firm fixed-price contracts, because Microphase assumes the entire cost burden. If its initial estimates are incorrect, Microphase can lose money on these contracts. U.S. Government contracts can expose Microphase to potentially large losses because the U.S. Government can hold Microphase responsible for completing a project or, in certain circumstances, paying the entire cost of its replacement by another provider regardless of the size or foreseeability of any cost overruns that occur over the life of the contract. Because many of these contracts involve new technologies and applications, unforeseen events such as technological difficulties, fluctuations in the price of raw materials, problems with its suppliers and cost overruns, can result in the contractual price becoming less favorable or even unprofitable to Microphase. The U.S. and other countries also may experience a significant increase in inflation. A significant increase in inflation rates could have a significant adverse impact on the profitability of these contracts. Furthermore, if Microphase does not meet contract deadlines or specifications, Microphase may need to renegotiate contracts on less favorable terms, be forced to pay penalties or liquidated damages or suffer major losses if the customer exercises its right to terminate. In addition, some of its contracts have provisions relating to cost controls and audit rights, and if Microphase fails to meet the terms specified in those contracts Microphase may not realize their full benefits. Microphase’s results of operations are dependent on its ability to maximize its earnings from its contracts. Cost overruns could have an adverse impact on its financial results.
Assistant: