RepositoryWebrefEntityAnnotations

Repository WebrefEntity Understanding

GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityAnnotations

9
out of 10
Critical
SEO Impact
All annotations for a given concept (in one document collection). Available tags: [10-15], [19-]

SEO Analysis

AI Generated

Part 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

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confidenceScorenumber(
Default: nil

The overall confidence that the entity is annotated somewhere in the document or query. For WebRef it is computed as a function of the mention confidences weighted by the importance of each mention, where for documents a mention is of greater importance if it occurs in the title, h1 or anchors. For QRef it is just the maximum of the confidence over all mentions. NOTE: You probably want to use the mention-level segment_mentions.mention.confidence_score field instead of this one.

debugInfoRepositoryWebrefAnnotationDebugInfo →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefAnnotationDebugInfo.t
detailedEntityScoresRepositoryWebrefDetailedEntityScores →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefDetailedEntityScores.t

Additional information about how the entity relates to the page, for example whether it is a business entity which published the page.

explainedRangeInfoRepositoryWebrefExplainedRangeInfo →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefExplainedRangeInfo.t

All ranges explained by the entity or any other entity it implies. Used in the context of partial query interpretation (go/partial-understanding).

imageMentionRepositoryWebrefImageMention →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefImageMention.t

This is an experimental output for go/multiref. Don't use it without consulting the Webref team

isImplicitboolean(
Default: nil

An entity is marked as implicit if there is no explicit mention of the entity in the content of the page. For instance, all mentions of the entity are in query, url and/or anchors; or the entity has only implicit content mentions.

isResolutionboolean(
Default: nil

True if the entity is an MDVC summary entity, i.e. it might not be mentioned directly on the query, but it is the product of resolving a set of explicit annotations. E.g. "2014 FIFA World Cup" can be the summary for the query: [soccer world cup in brazil] even though none of the names of the entity is mentioned on the query. Summary nodes can also be synthetic, i.e. have a /t/ mid, as they represent the intersection between a set of regular annotations. For more information, see http://go/mdvc-output.

segmentMentionsRepositoryWebrefSegmentMentions →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefSegmentMentions.t

All mentions of a given concept grouped by segments. For Webref, there are many different kinds of segment, such as content, title and anchors; while for QRef, there is only one segment called CONTENT. For QRef this field contains the primary output of the annotator, and for WebRef it together with topicality_score does.

topicalityRankinteger(
Default: nil

Rank of the entity when sorted by topicality score.

topicalityScorenumber(
Default: nil

The WebRef topicality score of the entity for this document. This score indicates how related is the entity to the overall topic of the document. See https://goto.google.com/topicality-score for details. This field is not present in QRef output. Note that the topicality and the confidence score are orthogonal measures. It is possible that the annotator is absolutely sure that an entity is mentioned in a given range in the document, but this entity may be unrelated to the overall topic of the page (e.g. the entity "RSS" is mentioned in the footer of appleinsider.com). In this case the mention has a very high confidence score, but very low topicality score.