Triple

T9899760
Position Surface form Disambiguated ID Type / Status
Subject WinRT E182253 entity
Predicate languageProjection P11734 FINISHED
Object C++/CX E724300 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: C++/CX | Statement: [WinRT, languageProjection, C++/CX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++/CX
Context triple: [WinRT, languageProjection, C++/CX]
  • A. C++/CX chosen
    C++/CX is a Microsoft-specific extension of C++ designed to simplify development of Windows Runtime (WinRT) and Universal Windows Platform (UWP) applications.
  • B. C++/WinRT
    C++/WinRT is a modern, standard C++ language projection for the Windows Runtime that enables developers to write high-performance Windows apps using idiomatic C++ without relying on C++/CX.
  • C. C++/CLI
    C++/CLI is a Microsoft extension of the C++ language designed to interoperate seamlessly with the .NET runtime and managed code.
  • D. WinRT
    WinRT (Windows Runtime) is Microsoft’s modern application platform and API surface that underpins Windows Store and Universal Windows Platform (UWP) apps, enabling language projections across multiple programming languages.
  • E. UWP
    UWP is a public university campus of the University of Wisconsin System located in Kenosha, Wisconsin, known for its liberal arts and professional programs.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4adc03481909e0f657db01e5bab completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d92624c81909f5a8af8703ead09 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:40 p.m.