"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 00:37:39.908147
"""

```python
from typing import List, Dict

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

    def add_fact(self, fact: str) -> None:
        """Add a fact to the knowledge base."""
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def get_related_facts(self, fact: str) -> List[str]:
        """Retrieve related facts based on a given fact."""
        return [f for f in self.knowledge if f != fact and any(fact in k for k in self.knowledge[f])]

class ReasoningEngine:
    def __init__(self):
        self.kb = KnowledgeBase()

    def add_facts(self, facts: List[str]) -> None:
        """Add multiple facts to the knowledge base."""
        for fact in facts:
            self.kb.add_fact(fact)

    def infer_relations(self) -> Dict[str, List[str]]:
        """
        Infer and return a dictionary of inferred relations between facts.
        
        Returns:
            A dictionary where each key is a fact and its value is a list of related facts.
        """
        for _ in range(3):  # Simple iteration to allow some basic reasoning
            for fact, related_facts in self.kb.knowledge.items():
                for r_fact in related_facts:
                    if fact not in self.kb.get_related_facts(r_fact):
                        self.kb.add_fact(fact + " implies " + r_fact)

        return {fact: related_facts for fact, related_facts in self.kb.knowledge.items()}

# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    engine.add_facts(["A is B", "B is C", "C is D"])
    inferred_relations = engine.infer_relations()
    print(inferred_relations)
```

This example demonstrates a basic reasoning engine that can infer relations between facts stored in a knowledge base. The `ReasoningEngine` class uses simple iteration to allow for limited inference capabilities, which could be extended or made more sophisticated based on actual requirements and us