<｜begin▁of▁sentence｜>### Instruction:
As an air traffic controller, imagine overseeing a complex network of flight routes between different airports, denoted as nodes, where direct connections between these airports are represented as edges in your route management system. We have a specific arrangement of interconnected routes forming sectors: [(1, 2), (1, 3), (2, 3), (2, 4), (3, 4), (3, 5), (3, 6), (4, 5), (4, 6), (5, 6)]. Your task is ensuring that each sector can be navigated efficiently without any scheduling conflicts.

Could you utilize the is_chordal diagnostic tool from our air route network analysis software, NetworkX, to verify if this sector arrangement forms a chordal graph? A chordal graph would indicate that there are no flights (a.k.a. cycles of length four or more) that lack an interim direct route, which would potentially reduce the risk of in-air holding patterns, thereby improving the flow of aircraft and maintaining the safety and efficiency of our airspace.
### Response:
import networkx as nx

# Create a graph with edges forming a chordal structure
e = [(1, 2), (1, 3), (2, 3), (2, 4), (3, 4), (3, 5), (3, 6), (4, 5), (4, 6), (5, 6)]
G = nx.Graph(e)

# Check if the graph is chordal
is_chordal = nx.is_chordal(G)
print('Is the graph chordal?', is_chordal)
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