Google Knowledge Graph
E697193
Google Knowledge Graph is a large-scale semantic database that organizes information about entities and their relationships to enhance Google’s search and contextual understanding capabilities.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Google Knowledge Graph canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7933594 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Knowledge Graph Context triple: [Google Now on Tap, uses, Google Knowledge Graph]
-
A.
Google Lens
Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
-
B.
Google Gemini
Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
-
C.
Goole
Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
-
D.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
E.
Wikidata Query Service
Wikidata Query Service is an online SPARQL endpoint and interface that allows users to query and explore structured data stored in Wikidata.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Google Knowledge Graph Target entity description: Google Knowledge Graph is a large-scale semantic database that organizes information about entities and their relationships to enhance Google’s search and contextual understanding capabilities.
-
A.
Google Lens
Google Lens is an image recognition and search tool by Google that uses artificial intelligence to identify objects, text, and scenes from a device’s camera or photos and provide relevant information or actions.
-
B.
Google Gemini
Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
-
C.
Goole
Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
-
D.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
E.
Wikidata Query Service
Wikidata Query Service is an online SPARQL endpoint and interface that allows users to query and explore structured data stored in Wikidata.
- F. None of above. chosen
Statements (66)
| Predicate | Object |
|---|---|
| instanceOf |
Google product
ⓘ
knowledge graph ⓘ semantic database ⓘ |
| announcedBy | Google NERFINISHED ⓘ |
| announcementDate | 2012-05-16 ⓘ |
| basedOn | graph data model ⓘ |
| dataSourcesInclude |
Freebase
NERFINISHED
ⓘ
Wikidata NERFINISHED ⓘ Wikipedia NERFINISHED ⓘ licensed data providers ⓘ structured data from the web ⓘ user-contributed data ⓘ |
| describedAs |
graph of entities and relationships
ⓘ
large-scale semantic database ⓘ |
| developer | Google ⓘ |
| domain |
artificial intelligence
ⓘ
information retrieval ⓘ natural language processing ⓘ web search ⓘ |
| enables |
context-aware ranking
ⓘ
entity-based indexing ⓘ multi-language entity understanding ⓘ personalized search experiences ⓘ |
| launchYear | 2012 ⓘ |
| operatedBy | Google NERFINISHED ⓘ |
| ownedBy | Google NERFINISHED ⓘ |
| partOf | Google Search NERFINISHED ⓘ |
| purpose |
disambiguate entities in queries
ⓘ
enhance search results ⓘ improve contextual understanding ⓘ model relationships between entities ⓘ provide semantic understanding of entities ⓘ support question answering ⓘ support rich result features ⓘ support voice-based search ⓘ |
| relatedTo |
Facebook Graph Search
NERFINISHED
ⓘ
Microsoft Satori NERFINISHED ⓘ knowledge base ⓘ ontology ⓘ schema.org NERFINISHED ⓘ |
| scale |
billions of entities
ⓘ
hundreds of billions of facts ⓘ |
| stores |
entities
ⓘ
entity attributes ⓘ relationships between entities ⓘ |
| supports |
contextual search suggestions
ⓘ
entity cards in search results ⓘ entity disambiguation ⓘ featured snippets ⓘ knowledge panels ⓘ natural language understanding ⓘ rich snippets ⓘ semantic search ⓘ |
| supportsLanguage | multiple languages ⓘ |
| usedBy |
Google Assistant
NERFINISHED
ⓘ
Google Discover NERFINISHED ⓘ Google Maps NERFINISHED ⓘ Google News NERFINISHED ⓘ Google Photos NERFINISHED ⓘ Google Search NERFINISHED ⓘ YouTube NERFINISHED ⓘ |
| usedFor |
answering fact-based questions
ⓘ
content categorization ⓘ contextual advertising ⓘ entity recommendation ⓘ showing direct answers in search ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Google Knowledge Graph Description of subject: Google Knowledge Graph is a large-scale semantic database that organizes information about entities and their relationships to enhance Google’s search and contextual understanding capabilities.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.