1. A computer-implemented method comprising: receiving, at a computer system, a request to determine whether to assign a classification to a first query; selecting, by the computer system, a plurality of search entities that are associated with the first query based on respective user behavior data for the first query associated with each of the search entities; determining a first measure of how many of the plurality of search entities have been assigned the classification; determining that the first measure of how many of the plurality of search entities have been assigned the classification satisfies a classification threshold; in response to determining that the first measure of how many of the plurality of search entities have been assigned the classification satisfies the classification threshold, determining a second measure of how many of a top group of search entities from the plurality of search entities have been assigned the classification, each search entity in the top group of search entities being in a subset of the plurality of search entities having highest respective measures of relevance to the query based on the user behavior data; determining, by the computer system that the first measure of how many of the plurality of search entities have been assigned the classification is consistent with the second measure of how many of the top group of search entities have been assigned the classification; and in response to determining that the first measure of how many of the plurality of search entities have been assigned the classification is consistent with the second measure of how many of the top group of search entities have been assigned the classification, assigning the classification to the first query.
1. A computer-implemented method comprising: receiving, at a computer system, a request to determine whether to assign a classification to a first query; selecting, by the computer system, a plurality of search entities that are associated with the first query based on respective user behavior data for the first query associated with each of the search entities; determining a first measure of how many of the plurality of search entities have been assigned the classification; determining that the first measure of how many of the plurality of search entities have been assigned the classification satisfies a classification threshold; in response to determining that the first measure of how many of the plurality of search entities have been assigned the classification satisfies the classification threshold, determining a second measure of how many of a top group of search entities from the plurality of search entities have been assigned the classification, each search entity in the top group of search entities being in a subset of the plurality of search entities having highest respective measures of relevance to the query based on the user behavior data; determining, by the computer system that the first measure of how many of the plurality of search entities have been assigned the classification is consistent with the second measure of how many of the top group of search entities have been assigned the classification; and in response to determining that the first measure of how many of the plurality of search entities have been assigned the classification is consistent with the second measure of how many of the top group of search entities have been assigned the classification, assigning the classification to the first query. 4. The method of claim 1 , wherein the plurality of identified search entities comprises a plurality of web domains, and wherein the respective user behavior data associated with each web domain of the plurality of web domains represents user behavior relative to one or more documents in the web domain when the one or more documents were provided as search results for the first query.