This case is diametrically opposite in that here WordNet encodes much information about both senses, but such "noisy" knowledge does not help discriminate.
a number of semantic interconnection patterns are presented to the validator, indicating the relevance of both senses for tagging, but no evidence in favor of the choice of sense #1 (which is most appropriate in the sentence).