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: From time to time, we are involved in lawsuits, regulatory inquiries and may be involved in governmental and other legal proceedings arising out of the ordinary course of our business. For example, we are currently involved in ongoing lawsuits seeking damages relating to alleged noxious and harmful emissions from our facility located in Marrero, Louisiana; ongoing issues in connection with Penthol LLC’s termination of a June 2016 Sales and Marketing Agreement; and a class action that was filed against us and certain of our senior executives alleging claims for violations of Section 10(b) of the Exchange Act, and Rule 10b-5 promulgated thereunder, and Section 20(a) of the Exchange Act. Each of these matters are described in greater detail under “Part II” - “Item 8. Financial Statements and Supplementary Data” in the Notes to Consolidated Financial Statements in “Note 4. Commitments and Contingencies”, under the heading “Litigation”. Many of these matters raise difficult and complicated factual and legal issues and are subject to uncertainties and complexities. Regardless of the merit of particular claims, litigation can be expensive, time-consuming, disruptive to the Company’s operations and distracting to management. In recognition of these considerations, the Company may enter into agreements or other arrangements to settle litigation and resolve such challenges. There can be no assurance such agreements can be obtained on acceptable terms or that litigation will not occur. These agreements can also significantly increase the Company’s operating expenses. While the Company maintains insurance coverage for certain types of claims, such insurance coverage may be insufficient to cover all losses or all types of claims that may arise. The timing of the final resolutions to these matters (including pending matters) is often uncertain. The possible outcomes or resolutions to pending and future matters could include adverse judgments or settlements, either of which could require substantial payments, adversely affecting our results of operations and liquidity. Continuing political and social concerns about the issues of climate change may result in changes to our business and significant expenditures, including litigation-related expenses.
Assistant: