Triple
T9899695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C++/WinRT |
E182252
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | WinRT APIs |
E182253
|
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: WinRT APIs | Statement: [C++/WinRT, supports, WinRT APIs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WinRT APIs Context triple: [C++/WinRT, supports, WinRT APIs]
-
A.
WinRT
chosen
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.
-
B.
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.
-
C.
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.
-
D.
WinUI
WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
-
E.
Windows App SDK
Windows App SDK is a unified set of developer tools and APIs for building modern Windows desktop applications with consistent UI, app model, and system integration across different Windows versions.
- 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_69d1eb1b9534819093c5150f1ed8f685 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.