<｜begin▁of▁sentence｜>### Instruction:
Imagine you're the pilot of a commercial airline tasked with coordinating a complex travel itinerary for a group of VIP passengers: 'A', 'B', 'C', 'D', and 'E'. Each passenger prefers to travel within their own exclusive travel clusters, where they feel most comfortable. As the orchestrator of this journey, you must determine the best way to unite these passengers into separate, non-overlapping travel cliques using a series of coordinated flights (akin to the union operation), ensuring that no passenger is left isolated.

Once this initial schedule is in place, your job is to verify quickly the travel cluster to which any given VIP passenger is assigned during the journey. How could you streamline this process? Please consider this scenario as if you were notating it in your flight log, keeping the details crisp and clear for later reference, perhaps even summarizing the union of passengers in an equivalent to an in-flight passenger manifest or a 'gml' file for clarity.
### Response:
import networkx as nx

# Create a UnionFind instance
uf = nx.utils.UnionFind()

# Perform union operations
uf.union('A', 'B')
uf.union('B', 'C')
uf.union('A', 'C')
uf.union('D', 'E')

# Find the elements in the same set (connected components)
print(uf['A'])
print(uf['D'])
<|EOT|>
