Triple
T286986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows |
E5904
|
entity |
| Predicate | supportsAPI |
P203
|
FINISHED |
| Object |
Win32 API
Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
|
E37357
|
NE FINISHED |
How this triple was built (4 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: Win32 API | Statement: [Windows, supportsAPI, Win32 API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Win32 API Context triple: [Windows, supportsAPI, Win32 API]
-
A.
Windows Forms
Windows Forms is a graphical user interface (GUI) framework for building desktop applications on the Microsoft Windows platform using the .NET framework.
-
B.
Windows Presentation Foundation
Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
-
C.
Windows
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
D.
WinUI
WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
-
E.
LPC
The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Win32 API Triple: [Windows, supportsAPI, Win32 API]
Generated description
Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Win32 API Target entity description: Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
-
A.
Windows Forms
Windows Forms is a graphical user interface (GUI) framework for building desktop applications on the Microsoft Windows platform using the .NET framework.
-
B.
Windows Presentation Foundation
Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
-
C.
Windows
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
D.
WinUI
WinUI is Microsoft's modern native user interface framework for building Windows desktop applications with Fluent Design.
-
E.
LPC
The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
- F. None of above. chosen
Provenance (5 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a260d21e5881909f3baba8b8dfff92 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d078ad88190b4fce535c8ea9a80 |
completed | March 1, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69a39e93efc48190a1fa60d04ee7e85f |
completed | March 1, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39f38af0481908f0a3bfeda680065 |
completed | March 1, 2026, 2:06 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.