How to interpret Apyori (Apriori algorithm) output for association rules longer than 2?

Question

I have implemented the Apriori algorithm to find frequent itemsets and association rules on my dataset and the Apyori library in Python gives me these results :

Motif   Support  Confidence      Lift
0          [05M09T, 05M093]  0.066946    0.524590  1.628273
1  [05M091, 05M092, 05M093]  0.052301    0.581395  1.804591

First line is understandable, but how to deal with the second one ? Is the association rule {05M091} --> {05M092, 05M093} or {05M091, 05M092} --> {05M093} ? Because it is not the same for the metrics computation!