Candidate Elimination algorithm ordering list beneficial or not

Question

I need some help to understand a precondition with respect to the Candidate Elimination algorithm. If I order the list of training data that the negative entries at first my version space has fewer hypotheses. When I put the positive training data at the beginning the hypothesis room gets bigger. My assumption is based that the algorithm makes negative entries more specific and positive more general.