Triple

T12281263
Position Surface form Disambiguated ID Type / Status
Subject clangd E292720 entity
Predicate compatibleWith P203 FINISHED
Object Visual Studio Code E36538 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: Visual Studio Code | Statement: [clangd, compatibleWith, Visual Studio Code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visual Studio Code
Context triple: [clangd, compatibleWith, Visual Studio Code]
  • A. Visual Studio Code chosen
    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.
  • B. Sublime Text
    Sublime Text is a fast, cross-platform, extensible text editor popular among developers for its powerful features and plugin ecosystem.
  • C. Visual Studio
    Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
  • D. WebStorm
    WebStorm is a commercial integrated development environment (IDE) by JetBrains focused on modern JavaScript, TypeScript, and web development.
  • E. JetBrains Rider
    JetBrains Rider is a cross-platform .NET IDE by JetBrains that combines ReSharper’s code analysis with a fast, IntelliJ-based development environment.
  • 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.