Language Server Index Format
E716253
Language Server Index Format (LSIF) is a file-based code intelligence format that enables precomputed, language-server-style features like go-to-definition and find-references to be served quickly without requiring a live language server.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Language Server Index Format canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8175646 — 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: Language Server Index Format Context triple: [Language Server Protocol, relatedTo, Language Server Index Format]
-
A.
Language Server Protocol
The Language Server Protocol is an open standard that enables code editors and IDEs to provide language-specific features like autocompletion, go-to-definition, and refactoring through external language servers.
-
B.
TypeScript language server
The TypeScript language server is a background tool that powers intelligent editor features like autocompletion, type checking, and refactoring support for TypeScript and JavaScript code across various development environments.
-
C.
OmniSharp
OmniSharp is an open-source tooling ecosystem that brings rich C# and .NET development features—such as code completion, refactoring, and diagnostics—to editors like VS Code, Vim, and Emacs.
-
D.
clangd
clangd is a language server for C and C++ (and related languages) that provides code completion, navigation, and other IDE features based on the Clang compiler infrastructure.
-
E.
STAR File syntax
STAR File syntax is a flexible, text-based data format used in crystallography and related sciences to store structured experimental and structural information in a machine-readable way.
- 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: Language Server Index Format Target entity description: Language Server Index Format (LSIF) is a file-based code intelligence format that enables precomputed, language-server-style features like go-to-definition and find-references to be served quickly without requiring a live language server.
-
A.
Language Server Protocol
The Language Server Protocol is an open standard that enables code editors and IDEs to provide language-specific features like autocompletion, go-to-definition, and refactoring through external language servers.
-
B.
TypeScript language server
The TypeScript language server is a background tool that powers intelligent editor features like autocompletion, type checking, and refactoring support for TypeScript and JavaScript code across various development environments.
-
C.
OmniSharp
OmniSharp is an open-source tooling ecosystem that brings rich C# and .NET development features—such as code completion, refactoring, and diagnostics—to editors like VS Code, Vim, and Emacs.
-
D.
clangd
clangd is a language server for C and C++ (and related languages) that provides code completion, navigation, and other IDE features based on the Clang compiler infrastructure.
-
E.
STAR File syntax
STAR File syntax is a flexible, text-based data format used in crystallography and related sciences to store structured experimental and structural information in a machine-readable way.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
code intelligence format
ⓘ
file-based index format ⓘ |
| abbreviation | LSIF ⓘ |
| advantage |
does not require a running language server at query time
ⓘ
enables fast code navigation queries ⓘ language-agnostic specification ⓘ |
| basedOn | Language Server Protocol ⓘ |
| category |
developer tooling
ⓘ
software engineering data format ⓘ |
| dataModel | graph of vertices and edges ⓘ |
| designedFor |
large codebases
ⓘ
offline code intelligence ⓘ static code analysis ⓘ |
| enables |
batch indexing in CI pipelines
ⓘ
precomputed cross-reference data ⓘ |
| fullName | Language Server Index Format ⓘ |
| hasConcept |
definition result
ⓘ
document vertex ⓘ edge ⓘ hover result ⓘ moniker ⓘ package information ⓘ project vertex ⓘ range vertex ⓘ reference result ⓘ result set ⓘ |
| purpose |
to enable language-server-style features without a live language server
ⓘ
to provide precomputed code intelligence ⓘ |
| relatedStandard | Language Server Protocol ⓘ |
| serializationFormat | JSON ⓘ |
| storageModel | file-based ⓘ |
| supports |
incremental indexing
ⓘ
project-wide symbol graphs ⓘ |
| supportsFeature |
cross-repository code navigation
ⓘ
find-references ⓘ go-to-definition ⓘ hover information ⓘ symbol search ⓘ |
| typicalConsumer |
code host
ⓘ
code intelligence service ⓘ editor extension ⓘ |
| typicalProducer | language-specific indexer ⓘ |
| useCase |
indexing archived or snapshot code
ⓘ
indexing monorepos ⓘ integrating code intelligence into IDEs ⓘ integrating code intelligence into code hosts ⓘ |
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: Language Server Index Format Description of subject: Language Server Index Format (LSIF) is a file-based code intelligence format that enables precomputed, language-server-style features like go-to-definition and find-references to be served quickly without requiring a live language server.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
Language Server Index Format and Protocol working group
→
focusesOn
→
Language Server Index Format
ⓘ
subject linked to:
Language Server Index Format