"""Create fact_checker
Generated by Phi-Octopus Eden
2025-11-06 05:45:43.256431
"""

```python
from typing import List, Dict

class FactChecker:
    """
    A basic fact-checking tool that validates statements based on predefined facts.
    
    Attributes:
        facts (Dict[str, bool]): A dictionary storing known true/false facts.
    """
    
    def __init__(self):
        self.facts = {
            "fact1": True,
            "fact2": False,
            "fact3": True
        }
        
    def check_facts(self, statements: List[str]) -> Dict[str, bool]:
        """
        Checks the validity of given statements against stored facts.
        
        Args:
            statements (List[str]): A list of statements to be checked.
            
        Returns:
            Dict[str, bool]: A dictionary containing the validation result for each statement.
                             True if the statement matches a known fact, False otherwise.
        """
        results = {}
        for statement in statements:
            # Example: Check if the statement contains "true" or "false"
            lower_statement = statement.lower()
            if "true" in lower_statement:
                results[statement] = self.facts.get("fact1", False)
            elif "false" in lower_statement:
                results[statement] = self.facts.get("fact2", False)
            else:  # Add more conditions as needed
                results[statement] = self.facts.get(statement, True)  # Default to True if not found
        
        return results

# Example usage
if __name__ == "__main__":
    fact_checker = FactChecker()
    statements_to_check = [
        "The statement is true.",
        "This is a false statement.",
        "A known fact."
    ]
    
    validation_results = fact_checker.check_facts(statements_to_check)
    for statement, result in validation_results.items():
        print(f"Statement: {statement} - Validated as: {result}")
```

Note: This example assumes very simple and rudimentary logic to check statements against a set of known facts. In reality, more sophisticated natural language processing (NLP) techniques would be required for accurate fact-checking.