SQL API
E711834
SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SQL API canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8093953 — 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: SQL API Context triple: [Apache Flink, hasAPI, SQL API]
-
A.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
B.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
-
C.
DB
DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
-
D.
SQLite
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
-
E.
ODBC
ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
- 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: SQL API Target entity description: SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
-
A.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
B.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
-
C.
DB
DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
-
D.
SQLite
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
-
E.
ODBC
ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
batch processing API
ⓘ
component of Apache Flink ⓘ query interface ⓘ stream processing API ⓘ |
| builtOn |
Apache Flink Table API
ⓘ
linked to:
Table API
|
| canAccess |
JDBC sources
ⓘ
Kafka sources ⓘ data lakes ⓘ file system sources ⓘ |
| documentationURL | https://nightlies.apache.org/flink/flink-docs-stable/docs/dev/table/sql/overview/ ⓘ |
| enables | definition of data processing logic with SQL ⓘ |
| exposes | relational abstraction over Flink data streams ⓘ |
| goal |
simplify stream processing with SQL
ⓘ
unify batch and streaming semantics ⓘ |
| integratesWith |
Flink Table Planner
ⓘ
Flink optimizer ⓘ
linked to:
Apache Flink
Flink runtime ⓘ |
| license | Apache License 2.0 ⓘ |
| partOf | Apache Flink ⓘ |
| project | Apache Flink ⓘ |
| supports |
CREATE TABLE statements
ⓘ
CREATE VIEW statements ⓘ DDL statements ⓘ GROUP BY operations ⓘ INSERT INTO statements ⓘ INSERT OVERWRITE statements ⓘ INSERT statements ⓘ JOIN operations ⓘ SELECT queries ⓘ SQL-based ETL pipelines ⓘ batch data processing ⓘ catalogs ⓘ connector configuration via SQL ⓘ continuous queries ⓘ event-time processing ⓘ materialized results ⓘ processing-time semantics ⓘ relational operations ⓘ streaming data processing ⓘ temporal table joins ⓘ time attributes ⓘ user-defined functions ⓘ watermarks ⓘ window aggregations ⓘ |
| targetUser |
SQL developers
ⓘ
data analysts ⓘ data engineers ⓘ |
| usesSyntax | standard SQL syntax ⓘ |
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: SQL API Description of subject: SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.