Hi, for triggering based on multiple flows

@trigger_on_finish(flows=['FirstFlow', 'AnotherFlow'])

, the docs mention

flows need to complete within a configured time windows for the flow to trigger

. is there an example of the configuring the time window? context: we are deciding between one flow to generate all features that triggers model training when finished on update vs smaller/independent "feature group" pipelines. For the latter, we want to have some guarantee on data freshness of all features being used by a downstream model. I suppose we could just check freshness within a given model training and not run if all features don't meet data freshness requirements as well as opposed to using triggering.