This work aims at reconstructing Petri net models for biological systems from experimental time-series data. The reconstructed models shall reproduce the experimentally observed dynamic behavior in a simulation. For that, we consider Petri nets with priority relations among the transitions and control-arcs, to obtain additional activation rules for transitions to control the dynamic behavior. An integrative reconstruction method, taking both priority relations and control-arcs into account, was proposed by Favre and Wagler in 2013. Here, we detail the aspect of choosing priorities and control-arcs such that dynamic conflicts can be resolved to finally arrive at the experimentally observed behavior.