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 business is subject to periodic fluctuations based on national, regional and local economic conditions. These fluctuations are not predictable, cannot be controlled, and may have a material adverse impact on our operations and financial condition. Our banking operations are primarily locally oriented and community-based. Our retail and commercial banking activities are primarily concentrated within the same geographic footprint. Our markets include most of North Carolina and northeastern South Carolina. Worsening economic conditions within our markets could have a material adverse effect on our financial condition, results of operations and cash flows. Accordingly, we expect to continue to be dependent upon local business conditions as well as conditions in the local residential and commercial real estate markets we serve. Unfavorable changes in unemployment, real estate values, interest rates and other factors could weaken the economies of the communities we serve. While economic growth and business activity has been generally favorable in our market area in recent years, there can be no assurance that economic conditions will persist, and these conditions could worsen. In addition, unfavorable global economic conditions, including the 2020 outbreak of COVID-19, have had a negative impact on financial markets and could adversely impact our customers, which in turn could lead to lower business activity and higher loan delinquencies. Weakness in any of our market areas could have an adverse impact on our earnings, and consequently our financial condition and capital adequacy.
Assistant: