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 that potentially subject the Company to significant concentrations of credit risk consist primarily of cash and cash equivalents and other receivable. As September 30, 2022 and 2021, $252,512 (RMB1,796,861) and $1,886,622 (RMB12,162,295), respectively, were deposited with various major financial institutions located in the PRC. While management believes that these financial institutions are of high credit quality, it also continually monitors their credit worthiness._Historically, deposits in Chinese banks are secure due to state policy to protect depositor interests. However, China promulgated a Bankruptcy Law in August 2006 that came into effect on June 1, 2007, which contains a separate article expressly stating that the State Council may promulgate implementation measures to provide for the bankruptcy of Chinese banks based on the Bankruptcy Law. Under the current Bankruptcy Law, a Chinese bank may file bankruptcy if it deems itself to be insolvent. In addition, since China’s concession to the World Trade Organization, foreign banks have been gradually permitted to operate in China and have intensified competition in many aspects, especially since the opening of the Renminbi business to foreign banks in late 2006. Therefore, the risk of bankruptcy at the institutions that the Company maintains deposits has increased. In the event of bankruptcy, the Company is unlikely to reclaim its deposits in full since it is unlikely to be classified as a secured creditor under PRC laws._
Assistant: