And much harder to p to program.
Yeah. How  how do these pieces fit together ? Uh - huh. And um. But , OK , nevertheless. So these are issues but we  what we actually decided last week , is to , and this is , again , for your benefit  is to um , pretend we have observed and parsed an utterance such as " where is the Powder - Tower " , or " where is the zoo " , and specify um , what  what we think the  the output uh , observe , out  i input nodes for our Bayes - nets for the sub sub - D , for the discourse bit , should be. So that  And I will  I will then   come up with the ontology side uh , bits and pieces , so that we can say , OK we  we always just look at this utterance. That 's the only utterance we can do , it 's hard coded , like Srini , sort of hand parsed , hand crafted , but this is what we hope to be able to observe in general from utterances , and from ontologies , and then we can sort of fiddle with these things to see what it actually produces , in terms of output.
Uh
So we need to find out what the " where is X " construction will give us in terms of semantics and  Simspec type things.