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 relationship with the communities where we operate is critical to ensure the future success of our existing operations and the construction and development of our I-M Mine Property. Reputational damage can be the result of the actual or perceived occurrence of any number of events, and could include any negative publicity, whether true or not. There is an increasing level of public concern relating to the perceived effect of mining activities on the environment and on communities impacted by such activities. Certain individuals and groups who oppose resource development can often be vocal critics of the mining industry and its practices, including the use of hazardous substances in processing activities and effects on the environment. The increased use of social media and other web-based tools used to generate, publish and discuss user-generated content and to connect with other users has made it increasingly easier for such individuals and groups to communicate and share their opinions and views regarding our company and our activities. Adverse publicity generated by such persons related to extractive industries generally, or our operations or development activities specifically, could have an adverse effect on our reputation. Reputation loss, including reputation loss by other similar mining companies, may result in decreased investor confidence, increased challenges in developing and maintaining community and stakeholder relations and an impediment to our overall ability to advance our I-M Mine Property (including our ability to obtain permits), which could have a material adverse impact on our results of operations, financial condition and prospects. While we are committed to operating in a socially responsible manner, there is no guarantee that our efforts in this respect will mitigate this potential risk. We do not ultimately have direct control over how we are perceived by others and reputational damage could adversely affect our operations and financial condition.
Assistant: