RepositoryWebrefEntityNameScore
Repository WebrefEntity UnderstandingGoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityNameScore
SEO Analysis
AI GeneratedPart of Google's entity understanding system (WebRef). This system identifies and links entities—people, places, things, concepts—within web content to Google's Knowledge Graph. Entity recognition is fundamental to semantic search, helping Google understand content meaning beyond keywords and match it to relevant queries.
Actionable Insights for SEOs
- Monitor for changes in rankings that may correlate with updates to this system
- Consider how your content strategy aligns with what this signal evaluates
- Build topical authority through comprehensive, entity-focused content
- Implement structured data to help Google understand entities on your pages
- Create content that clearly establishes entity relationships
Attributes
19bootstrappingPreviousIterationRepositoryWebrefBootstrappingScore →nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefBootstrappingScore.tIf the EntityNameScore is part of a bootstrapped model, then this field contains the score_ratio from the previous model ("Model 0"). If Model 0 does not have a corresponding entry, because it did not know about this name for this entity, then bootstrapping_previous_iteration is left empty.
confidencenumber(nilConfidence that this name is a trusted name of the entity. A reasonable threshold for name trust is 0.6. A name can be trusted and still have very low score_ratio, esp. if it is ambiguous (e.g. 'mercury') and/or not the dominant interpretation (e.g. "siberian husky" -> /m/06krnsr (a book)).
debugInfoRepositoryWebrefEntityDebugInfo →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityDebugInfo.tDebug information about the entity.
debugVariantSignalsRepositoryWebrefPreprocessingNameVariantSignals →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefPreprocessingNameVariantSignals.tSource and score data, this is internal to refx (e.g. for demo/debug).
extendedScoreRatioRepositoryWebrefExtendedEntityNameScore →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefExtendedEntityNameScore.tStores region specific score ratios for the entity when it is significantly different from the language version above.
includeInModelboolean(nilInclude this name in the name lookup table.
internalBootstrapIsOpenWorldboolean(nilTransient field, only used in bootstrap pipeline.
internalIsClusterParentboolean(nilisClusterGlobalboolean(nilSet to true iff the concept is cluster parent and the name can be a name for any child of the cluster. (e.g. 'starbucks' is cluster_global for the [Starbucks] chain cluster).
isDroppedboolean(nilDocumented at: google3/repository/webref/enricher/core/data/scored_entity_name.h
isMatchlessResultContextboolean(nilOnly for context names: Whether this EntityNameScore represents an entity that was dominant in the search results but was not annotated by QRef during learning. Matchless result contexts are useful for bootstrapping, where different model iterations may have different names and thus context scores from Model 0 that are inconsistent with the names from Model 1.
isPrunedboolean(nilDocumented at: google3/repository/webref/enricher/core/data/scored_entity_name.h
midstringnilFull type: String.tThe id of the entity.
nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefPreprocessingNameEntityMetadata.tMetadata about this name aggregated from name signals.
rangeMetadataRepositoryWebrefRangeMetadata →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefRangeMetadata.tMetadata of segment range, which is annotated by this entity.
scorenumber(nilThe absolute score of that entity. score = artificial_score + volume_based_score
scoreRationumber(nilRatio between this entity score and the total score over all entities. This is including the "open world" information if it was estimated.
useAsNameCandidateboolean(nilWhen this field is true, we consider this context name as candidate in Enricher's names pipeline.
volumeBasedScorenumber(nilAbsolute score that comes from quantitative sources such as navboost clicks, anchors, etc. artificial_score = score - volume_based_score