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: Our Assignor contracts are generally recovery-based. We receive a fee for such contracts based on the monies identified and ultimately recovered. Our ability to earn a profit on a performance-based agreement requires that we accurately estimate the costs involved and outcomes likely to be achieved and assess the probability of completing multiple tasks and transactions within the contracted time period. We derive a relatively small portion of our revenue on a “fee-for-service” basis whereby billing is based upon a flat fee or a fee per hour. To earn a profit on these contracts, we must accurately estimate costs involved and assess the probability of achieving certain milestones within the contracted time period. If we do not accurately estimate the costs and timing for completing projects, or if we encounter increased or unexpected costs, delays, failures, liabilities, or risks, including those outside of our control, our contracts could prove unprofitable for us or yield lower profit margins than anticipated. Although we believe that we have recorded adequate provisions in our financial statements for losses on our fee-for-service contracts where applicable, as required under GAAP, we cannot provide assurance that our contract provisions will be adequate to cover all actual future losses. The inability to accurately estimate the factors upon which we base our contract pricing could have a material adverse effect on business, financial condition and results of operations.
Assistant: