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: The federal bank regulatory agencies have indicated their view that banks with high concentrations of loans secured by commercial real estate are subject to increased risk and should implement robust risk management policies and maintain higher capital than regulatory minimums to maintain an appropriate cushion against loss that is commensurate with the perceived risk. Federal bank regulatory guidelines identify institutions potentially exposed to commercial real estate concentration risk as those that have (i) experienced rapid growth in commercial real estate lending, (ii) notable exposure to a specific type of commercial real estate, (iii) total reported loans for construction, land development and other land loans representing 100% or more of the institution’s capital, or (iv) total non-owner-occupied commercial real estate (including construction) loans representing 300% or more of the institution’s capital if the outstanding balance of the institution’s non-owner-occupied commercial real estate (including construction) loan portfolio has increased 50% or more during the prior 36 months. At December 31, 2022, the Bank’s construction to total capital ratio was 108.6% which exceeded the 100% regulatory guideline threshold set forth in clause (iii) above. As a result, we are deemed to have a concentration in commercial real estate lending under applicable regulatory guidelines. Because a significant portion of our loan portfolio depends on commercial real estate, a change in the regulatory capital requirements applicable to us or a decline in our regulatory capital could limit our ability to leverage our capital as a result of these policies, which could have a material and adverse effect on our business, financial condition and results of operations.
Assistant: