TOML
E427624
TOML is a human-readable configuration file format designed for simplicity and unambiguous parsing, commonly used in modern software tooling and package managers.
All labels observed (3)
| Label | Occurrences |
|---|---|
| TOML canonical | 6 |
| TOML v1.0.0 | 1 |
| Toml configuration format | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4278251 — 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: TOML Context triple: [Poetry, configurationFormat, TOML]
-
A.
TOM
TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
-
B.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
-
C.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
D.
TAR
TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
-
E.
TAR
TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
- 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: TOML Target entity description: TOML is a human-readable configuration file format designed for simplicity and unambiguous parsing, commonly used in modern software tooling and package managers.
-
A.
TOM
TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
-
B.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
-
C.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
D.
TAR
TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
-
E.
TAR
TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
configuration file format
ⓘ
serialization format ⓘ |
| commentPrefix | # ⓘ |
| comparedWith |
INI
ⓘ
JSON ⓘ YAML ⓘ |
| designedBy | Tom Preston-Werner ⓘ |
| designPrinciple |
minimal syntax
ⓘ
obvious semantics ⓘ |
| fileExtension | .toml ⓘ |
| fullName | Tom's Obvious, Minimal Language ⓘ |
| hasSpecification |
TOML v1.0.0
ⓘ
linked to:
TOML
|
| inception | 2013 ⓘ |
| inspiredBy |
INI
ⓘ
YAML ⓘ |
| keyValueSeparator | = ⓘ |
| license | MIT License ⓘ |
| mediaType |
application/toml
ⓘ
text/toml ⓘ |
| parsingProperty |
round-trippable
ⓘ
unambiguous ⓘ |
| primaryGoal |
human-readable configuration
ⓘ
unambiguous parsing ⓘ |
| specStatus | stable ⓘ |
| specVersion | 1.0.0 ⓘ |
| supportsDataType |
array
ⓘ
boolean ⓘ float ⓘ integer ⓘ local date ⓘ local datetime ⓘ local time ⓘ offset datetime ⓘ string ⓘ table ⓘ |
| supportsFeature |
arrays of tables
ⓘ
bare keys ⓘ comments ⓘ inline tables ⓘ literal strings ⓘ multiline basic strings ⓘ nested tables ⓘ quoted keys ⓘ |
| typicalFileName |
Cargo.toml
ⓘ
Pipfile.toml ⓘ pyproject.toml ⓘ |
| typicalUse |
application configuration
ⓘ
package manager configuration ⓘ tooling configuration ⓘ |
| usedBy |
Cargo
ⓘ
Go tooling ⓘ Hugo ⓘ Pipenv ⓘ Poetry ⓘ Rust ecosystem ⓘ
linked to:
Rust
|
| website | https://toml.io ⓘ |
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: TOML Description of subject: TOML is a human-readable configuration file format designed for simplicity and unambiguous parsing, commonly used in modern software tooling and package managers.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Jekyll static site generator
subject linked to:
mojombo
linked to: TOML
subject linked to:
PEP 518 (pyproject.toml build-system)
subject linked to:
PEP 621 (project metadata in pyproject.toml, partially)
linked to: TOML