Triple

T1971007
Position Surface form Disambiguated ID Type / Status
Subject Windows NT E42797 entity
Predicate supports P516 FINISHED
Object Win32 API 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 API | Statement: [Windows NT, supports, Win32 API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Win32 API
Context triple: [Windows NT, supports, Win32 API]
  • 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. Win16 API
    Win16 API is the 16-bit Windows application programming interface used by early versions of Microsoft Windows (such as Windows 3.x) for software development before the transition to 32-bit systems.
  • 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. Gdi32
    Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
  • E. Kernel32
    Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d2836c8190a35cb6d8e2dd4bdf completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.