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: Online security breaches could materially adversely affect our business, financial condition or results of operations. Any well-publicized compromise of security could deter use of the Internet in general or use of the Internet to conduct transactions that involve transmitting confidential information or downloading sensitive materials in particular. In addition to our own sensitive and proprietary business information, we handle transactional and personal information about our consumers and users of our digital experiences, which include online distribution channels and product engagement. In offering products via online payment, we may increasingly rely on technology licensed from third parties to provide the security and authentication necessary to effect secure transmission of confidential information such as customer credit card numbers. Advances in computer capabilities, new discoveries in the field of cryptography or other developments could compromise or breach the algorithms that we use to protect our data and/or our customers’ data. If third parties are able to penetrate our network security or otherwise misappropriate confidential information, we could be subject to liability, which could result in litigation. In addition, experienced programmers or “hackers” may attempt to misappropriate proprietary information or cause interruptions in our product offerings that could require us to expend significant capital and resources to protect against or remediate these problems. We have been the target of "phishing", "spoofing", "social engineering" and other data breach attempts. While we do not believe that our data systems or information technology have been materially breached, we expect that we may continue to be a target for unauthorized access to our systems and technology, including through the use of ransomware. If any such attempts are materially successful in the future, we could be subject to liability which could negatively impact our financial condition and damage our business.
Assistant: