"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 22:16:12.958444
"""

```python
from typing import List, Dict, Tuple

class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """
        Adds a new fact to the knowledge base.
        
        :param fact: A string representing the new fact.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = True

    def query(self, question: str) -> bool:
        """
        Queries the knowledge base for a specific fact.
        
        :param question: A string representing the fact to be queried.
        :return: Boolean value indicating whether the fact is in the knowledge base.
        """
        return question in self.knowledge

class ReasoningEngine:
    def __init__(self, kb: KnowledgeBase):
        self.kb = kb
        self.reasoning_rules = []

    def add_rule(self, rule: str) -> None:
        """
        Adds a new reasoning rule to the engine.
        
        :param rule: A string representing the new reasoning rule.
        """
        if rule not in self.reasoning_rules:
            self.reasoning_rules.append(rule)

    def infer(self, known_facts: List[str]) -> Tuple[bool, str]:
        """
        Infers new facts based on the given known facts and existing rules.
        
        :param known_facts: A list of strings representing the known facts.
        :return: A tuple where the first element is a boolean indicating whether an inference was made,
                 and the second element is a string containing the inferred fact if one was made, or an explanation otherwise.
        """
        for rule in self.reasoning_rules:
            # Simplified logic to check if rule can be applied
            if all(fact in known_facts for fact in rule.split()):
                inferred_fact = " ".join(rule.split()[len(known_facts):])
                self.kb.add_fact(inferred_fact)
                return True, f"Inferred: {inferred_fact}"
        return False, "No inference could be made."

# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("It_is_raining")
    
    reasoning_engine = ReasoningEngine(kb=kb)
    reasoning_engine.add_rule("If_it_is_raining Then_ground_is_wet")

    # Try to infer a fact based on the known facts and rules
    inference_result, explanation = reasoning_engine.infer(["It_is_raining"])
    print(explanation)  # Should print: Inferred: ground_is_wet
```

This code implements a simple reasoning engine that adds basic knowledge and can infer new information from existing knowledge using predefined rules. It includes a `KnowledgeBase` class to store facts, an `add_rule` method for adding inference rules, and an `infer` method for making inferences based on the known facts and rules. The example usage demonstrates how to create a simple knowledge base, add a rule, and perform an inference.