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: Certain governmental and regulatory agencies, as well as state and local jurisdictions, are focused on the abuse of opioid medications in the United States. Federal, state and local governmental and regulatory agencies are conducting investigations of us and others in the pharmaceutical supply chain, including pharmaceutical manufacturers, national retail pharmacy chains, independent pharmacies, prescribers, and other pharmaceutical wholesale distributors, regarding the manufacture, dispensing, and distribution of opioid medications. In addition, a significant number of lawsuits have been filed against us, other pharmaceutical wholesale distributors, and others in the pharmaceutical supply chain by state and local governmental entities and other plaintiffs for claims related to the Company’s distribution of opioid medications. The lawsuits against us and other pharmaceutical wholesale distributors allege, among other claims, that we failed to provide effective controls and procedures to guard against the diversion of controlled substances, acted negligently by distributing controlled substances to pharmacies that serve individuals who abuse controlled substances, and failed to report suspicious orders of controlled substances in accordance with regulations. Additional governmental and regulatory entities have indicated an intent to sue and may conduct investigations of us in the future and lawsuits could be brought against the Company by other plaintiffs under other theories related to opioid abuse. We are deeply committed to diversion control efforts, have sophisticated systems to identify orders placed warranting further review to determine if they are suspicious (including through the use of data analytics), and engage in due diligence and ongoing monitoring of customers. While we are vigorously defending ourselves in these lawsuits, the allegations may negatively affect our business in various ways, including through increased costs and harm to our reputation.
Assistant: