Triple

T575234
Position Surface form Disambiguated ID Type / Status
Subject C++ E13747 entity
Predicate hasMajorCompiler P16200 FINISHED
Object MSVC E5696 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: MSVC | Statement: [C++, hasMajorCompiler, MSVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSVC
Context triple: [C++, hasMajorCompiler, MSVC]
  • A. MinGW
    MinGW is a minimalist development environment for native Microsoft Windows applications that provides GNU toolchain components like GCC and related utilities.
  • B. Visual Studio chosen
    Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
  • C. Clang
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • D. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • E. DirectX
    DirectX is a collection of application programming interfaces (APIs) developed by Microsoft that enables high-performance handling of graphics, sound, and other multimedia tasks, especially for games, on Windows platforms.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d28af148190acad3cfb809ff2f2 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.