Triple
T12281254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | clangd |
E292720
|
entity |
| Predicate | implementsProtocol |
P9964
|
FINISHED |
| Object | Language Server Protocol |
E190930
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Language Server Protocol | Statement: [clangd, implementsProtocol, Language Server Protocol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Language Server Protocol Context triple: [clangd, implementsProtocol, Language Server Protocol]
-
A.
Language Server Protocol
chosen
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.
Language Server Index Format and Protocol working group
The Language Server Index Format and Protocol working group is a collaborative standards body that oversees the evolution and specification of the Language Server Protocol and related indexing formats used by development tools.
-
C.
Language Server Index Format
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.
-
D.
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.
-
E.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.