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 commercial construction lending may expose us to increased lending risks. Construction loans generally expose a lender to greater risk of non‑payment and loss than permanent commercial mortgage loans because repayment of the loans often depends on the borrower’s ability to secure permanent take‑out financing, which requires the successful completion of construction and stabilization of the project, or operation of the property with an income stream sufficient to meet operating expenses, including debt service on such replacement financing. For construction loans, increased risks include the accuracy of the estimate of the property’s value at completion of construction and the estimated cost of construction, all of which may be affected by unanticipated construction delays and cost over‑runs. Such loans typically involve an expectation that the borrower’s sponsors will contribute sufficient equity funds in order to keep the loan in balance, and the sponsors’ failure or inability to meet this obligation could result in delays in construction or an inability to complete construction. Commercial construction loans also expose the lender to additional risks of contractor non‑performance, or borrower disputes with contractors resulting in mechanic’s or materialmen’s liens on the property and possible further delay in construction. In addition, since such loans generally entail greater risk than mortgage loans on income producing property, we may need to increase our allowance for loan losses in the future to account for the likely increase in probable incurred credit losses associated with such loans. Further, as the lender under a construction loan, we may be obligated to fund all or a significant portion of the loan at one or more future dates. We may not have the funds available at such future date(s) to meet our funding obligations under the loan. In that event, we would likely be in breach of the loan unless we are able to raise the funds from alternative sources, which we may not be able to achieve on favorable terms or at all. In addition, many of our construction loans have multiple lenders and if another lender fails to fund we could be faced with the choice of either funding for that defaulting lender or suffering a delay or protracted interruption in the progress of construction.
Assistant: