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: Financial instruments which potentially subject the Company to concentrations of credit risk consist primarily of Cash and cash equivalents, Accounts receivable and Contract assets. The Company places its Cash and cash equivalents with financial institutions of high credit quality. At times, such amounts exceed federally insured limits. Management believes that no significant concentration of credit risk exists with respect to these cash balances because of its assessment of the creditworthiness and financial viability of the respective financial institutions. The Company provides credit to its customers located both inside and outside the United States in its normal course of business. Receivables are presented net of an allowance for credit losses based on the Company’s assessment of the collectability of customer accounts. The Company maintains an allowance that provides for an adequate reserve to cover estimated losses on receivables as well as contract assets. The Company determines the adequacy of the allowance by estimating the probability of loss based on the Company’s historical credit loss experience and taking into consideration current market conditions and supportable forecasts that affect the collectability of the reported amount. The Company regularly evaluates receivable and contract asset balances considering factors such as the customer’s credit worthiness, historical payment experience and the age of the outstanding balance. Changes to expected credit losses during the period are included in Credit loss expense in the Company’s consolidated statement of operations. After concluding that a reserved accounts receivable is no longer collectible, the Company reduces both the gross receivable and the allowance for credit losses.
Assistant: