Blazegraph
E730818
Blazegraph is an open-source, high-performance graph database and triplestore engine designed for large-scale RDF data and SPARQL querying.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Blazegraph canonical | 2 |
| Blazegraph Journal (storage layer) | 1 |
| Blazegraph NanoSparqlServer | 1 |
| Blazegraph Workbench (web UI) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8390956 — 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: Blazegraph Context triple: [Wikidata Query Service, usesBackend, Blazegraph]
-
A.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
-
D.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
-
E.
Oracle Spatial and Graph stack
Oracle Spatial and Graph stack is an Oracle Database feature set that provides advanced spatial data management, geospatial analytics, and graph processing capabilities for building location-aware and network-centric applications.
- 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: Blazegraph Target entity description: Blazegraph is an open-source, high-performance graph database and triplestore engine designed for large-scale RDF data and SPARQL querying.
-
A.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
B.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
C.
ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
-
D.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
-
E.
Oracle Spatial and Graph stack
Oracle Spatial and Graph stack is an Oracle Database feature set that provides advanced spatial data management, geospatial analytics, and graph processing capabilities for building location-aware and network-centric applications.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
RDF store
ⓘ
graph database ⓘ triplestore ⓘ |
| compatibleWith |
N-Quads
ⓘ
linked to:
RDF 1.1 N-Quads
N-Triples ⓘ RDF/XML ⓘ TriG ⓘ Turtle ⓘ |
| deploymentModel |
clustered deployment
ⓘ
embedded library ⓘ standalone server ⓘ |
| designedFor |
high-performance graph processing
ⓘ
large-scale RDF data ⓘ |
| formerlyKnownAs | Bigdata ⓘ |
| hasComponent |
Blazegraph Journal (storage layer)
ⓘ
linked to:
Blazegraph
Blazegraph NanoSparqlServer ⓘ
linked to:
Blazegraph
Blazegraph Workbench (web UI) ⓘ
linked to:
Blazegraph
|
| hasDocumentation | online documentation site ⓘ |
| hasNotableDeployment |
Wikidata Query Service (historically used Blazegraph)
ⓘ
linked to:
Wikidata Query Service
|
| hasUserInterface | web-based SPARQL editor ⓘ |
| implements | Blueprints API (historically, via extensions) ⓘ |
| predecessor | Bigdata ⓘ |
| repositoryHostingService | GitHub ⓘ |
| runsOn | Java Virtual Machine ⓘ |
| softwareLicense | open-source ⓘ |
| supportsDataModel | RDF ⓘ |
| supportsFeature |
ACID transactions (single-node)
ⓘ
RDF named graphs ⓘ RDF* / SPARQL* (in later versions, as experimental) ⓘ RDF/SPARQL federation (via SERVICE) ⓘ REST API ⓘ SPARQL 1.1 ⓘ
linked to:
SPARQL
embedded mode ⓘ full-text search (via extensions) ⓘ geo-spatial extensions (GeoSPARQL-like) ⓘ high-availability deployment options ⓘ incremental backup ⓘ named indices ⓘ query hints ⓘ query optimization ⓘ reification and statement identifiers ⓘ scale-out clustering ⓘ server mode ⓘ transactional updates ⓘ |
| supportsProtocol |
HTTP
ⓘ
HTTPS ⓘ |
| supportsQueryLanguage | SPARQL ⓘ |
| usedFor |
RDF data integration
ⓘ
graph analytics (via SPARQL) ⓘ knowledge graph storage ⓘ linked data publishing ⓘ semantic web applications ⓘ |
| writtenInProgrammingLanguage | Java ⓘ |
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: Blazegraph Description of subject: Blazegraph is an open-source, high-performance graph database and triplestore engine designed for large-scale RDF data and SPARQL querying.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.