Bottle
E430994
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bottle canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325841 — 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: Bottle Context triple: [mod_wsgi, supportsDeploymentOf, Bottle]
-
A.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
B.
Bottle Works
Bottle Works is an interactive exhibit at the World of Coca-Cola that showcases the bottling process and production of Coca-Cola beverages.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
E.
Dime Bag
"Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
- 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: Bottle Target entity description: Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
A.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
B.
Bottle Works
Bottle Works is an interactive exhibit at the World of Coca-Cola that showcases the bottling process and production of Coca-Cola beverages.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
E.
Dime Bag
"Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf | Python web framework ⓘ |
| architecture | single-module ⓘ |
| author | Marcel Hellkamp ⓘ |
| category | microframework ⓘ |
| comparedWith |
Django
ⓘ
Flask ⓘ |
| deploymentModel | WSGI application ⓘ |
| designedFor |
building web APIs
ⓘ
building web applications ⓘ |
| designGoal |
lightweight
ⓘ
single-file applications ⓘ |
| distribution |
PyPI
ⓘ
linked to:
Python Package Index
|
| documentationURL | https://bottlepy.org/docs/dev/ ⓘ |
| feature |
built-in development server
ⓘ
no external dependencies ⓘ |
| fileOrganization | single file ⓘ |
| initialReleaseYear | 2009 ⓘ |
| installCommand | pip install bottle ⓘ |
| license | MIT License ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
built-in HTTP server
ⓘ
error handling ⓘ plugin support ⓘ request handling ⓘ response handling ⓘ routing ⓘ templating ⓘ |
| repository | https://github.com/bottlepy/bottle ⓘ |
| supports |
Cheetah
ⓘ
Gunicorn ⓘ
linked to:
Gunicorn (with ASGI workers)
Jinja2 ⓘ Mako ⓘ Paste ⓘ Python 2 ⓘ
linked to:
Python
Python 3 ⓘ
linked to:
Python 3.x
WSGI ⓘ bjoern ⓘ
linked to:
Björn
cgi ⓘ cherrypy ⓘ diesel ⓘ eventlet ⓘ fapws3 ⓘ flup ⓘ gevent ⓘ meinheld ⓘ rocket ⓘ third-party template engines ⓘ tornado ⓘ uWSGI ⓘ waitress ⓘ wsgiref ⓘ |
| templatingEngine | SimpleTemplate ⓘ |
| URL | https://bottlepy.org/ ⓘ |
| useCase |
embedded web interfaces
ⓘ
prototyping ⓘ small web services ⓘ |
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: Bottle Description of subject: Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.