document: Web-scale entity-relation search architecture Enabling entity search and ranking at Web-scale is fraught with many challenges : annotating the corpus with entities and types , query language design , index design , query processing logic , and answer consolidation . We describe a Web-scale entity search engine we are building to handle over a billion Web pages , over 200,000 types , over 1,500,000 entities , and hundreds of entity annotations per page . We describe the design of compressed , token span oriented indices for entity and type annotations . Our prototype demonstrates the practicality of Web-scale entity-relation search .
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