An optimally working mobile system requires tight cooperation and an information stream that flows impeccably between its components. This, however, is not the current state of the art, as applications and system components must each, in isolation, acquire data, create a knowledge base, and maintain it with diligence. We introduce chronicle recognition to our trigger management framework and present the advantages of generating synthetic triggers based on events and measurements, establishing the theoretical foundation. We explain how, by using a time point algebra, we can reason with reified logic and obtain triggers that are unavailable otherwise. These triggers can be generated efficiently, as our results indicate, and are reliable in terms of event temporal correlation.