Recentlythere has been tremendous int.erest in temporal data modeling. The scope of most proposed temporal models has been restrict,ed t.o historics.1, or past data. We believe that. a comp1et.e temporal databa.se must deal 1vit.h historical data, as well as dat.a relating t.o t.lre future (pending dat,a). In this paper we expand t,he previous work on temporal modeling by introducing the 'pending' dimension.We also specify a (pending) query and updat.e language, which is an est,ension of the GORDAS ER query language. We use an invent.ory management environment and show that our model and quer) language can handle complex pending situat.ions.