Triple
T9899931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Foundation Classes |
E182257
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Win32 |
E37357
|
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: Win32 | Statement: [Microsoft Foundation Classes, platform, Win32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Win32 Context triple: [Microsoft Foundation Classes, platform, Win32]
-
A.
Win32 API
chosen
Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
-
B.
User32
User32 is a core Windows API library that manages user interface components such as windows, menus, and input handling.
-
C.
Windows SDK
Windows SDK is Microsoft's official collection of tools, headers, libraries, and documentation used by developers to build applications for the Windows operating system.
-
D.
Kernel32
Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
-
E.
Windows/386
Windows/386 was a special edition of Microsoft Windows 2.x designed to take advantage of Intel 80386 processors, offering enhanced multitasking and memory management capabilities.
- 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_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 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.