SQLAlchemy
E430980
SQLAlchemy is a powerful Python SQL toolkit and Object-Relational Mapping (ORM) library that provides a high-level, flexible interface for working with relational databases.
All labels observed (7)
| Label | Occurrences |
|---|---|
| SQLAlchemy canonical | 9 |
| SQLAlchemy ORM | 3 |
| SQLAlchemy Core | 2 |
| Django ORM | 1 |
| SQLAlchemy 1.4+ | 1 |
| SQLAlchemy project team | 1 |
| https://github.com/sqlalchemy/sqlalchemy | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325400 — 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: SQLAlchemy Context triple: [Flask-SQLAlchemy, integratesWith, SQLAlchemy]
-
A.
Flask-SQLAlchemy
Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
-
B.
sqlmodel
SQLModel is a Python library by Sebastián Ramírez (tiangolo) that combines SQLAlchemy and Pydantic to provide an easy, type-safe way to define and interact with SQL databases.
-
C.
DC ORM
DC ORM is the abbreviated name for the District of Columbia Office of Risk Management, the agency responsible for managing risk, insurance, and related claims for the D.C. government.
-
D.
Flask-Migrate
Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
-
E.
PL/Python
PL/Python is a procedural language extension for PostgreSQL that allows writing database functions and triggers in the Python programming language.
- 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: SQLAlchemy Target entity description: SQLAlchemy is a powerful Python SQL toolkit and Object-Relational Mapping (ORM) library that provides a high-level, flexible interface for working with relational databases.
-
A.
Flask-SQLAlchemy
Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
-
B.
sqlmodel
SQLModel is a Python library by Sebastián Ramírez (tiangolo) that combines SQLAlchemy and Pydantic to provide an easy, type-safe way to define and interact with SQL databases.
-
C.
DC ORM
DC ORM is the abbreviated name for the District of Columbia Office of Risk Management, the agency responsible for managing risk, insurance, and related claims for the D.C. government.
-
D.
Flask-Migrate
Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
-
E.
PL/Python
PL/Python is a procedural language extension for PostgreSQL that allows writing database functions and triggers in the Python programming language.
- F. None of above. chosen
Statements (66)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
SQL toolkit ⓘ object–relational mapping library ⓘ |
| author | Mike Bayer ⓘ |
| category |
ORM framework
ⓘ
database library ⓘ |
| commonlyUsedWith |
Django (via third-party integrations)
ⓘ
FastAPI ⓘ Flask ⓘ Pyramid ⓘ |
| developer | Mike Bayer ⓘ |
| documentation | https://docs.sqlalchemy.org/ ⓘ |
| ecosystem | Python data and web development ecosystem ⓘ |
| feature |
SQL expression language
ⓘ
asynchronous I/O support ⓘ connection URL configuration ⓘ connection pooling ⓘ database migrations support via Alembic ⓘ declarative mapping ⓘ eager loading of relationships ⓘ event system ⓘ extensible dialect architecture ⓘ imperative mapping ⓘ lazy loading of relationships ⓘ object–relational mapping ⓘ schema metadata management ⓘ schema reflection ⓘ transaction management ⓘ typed ORM mappings ⓘ unit of work pattern ⓘ |
| hasComponent |
Connection pooling
ⓘ
Core ⓘ Dialect system ⓘ Engine ⓘ ORM ⓘ |
| initialReleaseYear | 2005 ⓘ |
| license | MIT License ⓘ |
| maintainer |
SQLAlchemy project team
ⓘ
linked to:
SQLAlchemy
|
| programmingLanguage | Python ⓘ |
| relatedProject | Alembic ⓘ |
| repository |
https://github.com/sqlalchemy/sqlalchemy
ⓘ
linked to:
SQLAlchemy
|
| supportsDatabase |
Amazon Redshift
ⓘ
CockroachDB ⓘ Firebird ⓘ Google Cloud Spanner ⓘ
linked to:
Cloud Spanner
IBM DB2 ⓘ MariaDB ⓘ Microsoft SQL Server ⓘ
linked to:
SQL Server
MySQL ⓘ Oracle Database ⓘ PostgreSQL ⓘ SQLite ⓘ Snowflake ⓘ Sybase ⓘ |
| supportsLanguage | Python ⓘ |
| supportsParadigm |
SQL-first approach
ⓘ
code-first schema definition ⓘ data mapper pattern ⓘ declarative ORM ⓘ |
| supportsStandard | SQL ⓘ |
| usedFor |
database-agnostic application development
ⓘ
defining database schemas in Python code ⓘ executing SQL queries ⓘ mapping Python classes to database tables ⓘ relational database access in Python ⓘ |
| website | https://www.sqlalchemy.org/ ⓘ |
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: SQLAlchemy Description of subject: SQLAlchemy is a powerful Python SQL toolkit and Object-Relational Mapping (ORM) library that provides a high-level, flexible interface for working with relational databases.
Referenced by (18)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: SQLAlchemy
linked to: SQLAlchemy
linked to: SQLAlchemy
linked to: SQLAlchemy
linked to: SQLAlchemy
linked to: SQLAlchemy