"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 03:29:56.196437
"""

```python
from typing import List, Dict

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 a fact.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def get_related_facts(self, fact: str) -> List[str]:
        """
        Returns related facts based on the given fact.

        :param fact: The starting fact to find related facts for.
        :return: A list of strings representing related facts.
        """
        return self.knowledge.get(fact, [])

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

    def add_facts(self, facts: List[str]) -> None:
        """
        Adds multiple facts to the knowledge base.

        :param facts: A list of strings representing facts.
        """
        for fact in facts:
            self.kb.add_fact(fact)

    def find_conclusions(self, starting_fact: str) -> List[str]:
        """
        Finds conclusions from a given starting fact using depth-first search.

        :param starting_fact: The starting fact to begin the reasoning process with.
        :return: A list of strings representing possible conclusions.
        """
        stack = [starting_fact]
        visited = set()

        while stack:
            current_fact = stack.pop()
            if current_fact in visited:
                continue
            visited.add(current_fact)
            related_facts = self.kb.get_related_facts(current_fact)
            for fact in related_facts:
                if fact not in visited:
                    stack.append(fact)

        return list(visited - {starting_fact})

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

This code defines a basic reasoning engine that can add facts to a knowledge base and find conclusions from a starting fact using depth-first search. The `ReasoningEngine` class encapsulates the logic, making it easy to extend or integrate into larger systems.