Triple

T2629754
Position Surface form Disambiguated ID Type / Status
Subject Cygwin E59603 entity
Predicate includes P1393 FINISHED
Object Cygwin DLL E59603 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: Cygwin DLL | Statement: [Cygwin, includes, Cygwin DLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cygwin DLL
Context triple: [Cygwin, includes, Cygwin DLL]
  • A. Cygwin chosen
    Cygwin is a compatibility layer that provides a Unix-like environment and command-line tools for Microsoft Windows, enabling users to run and build POSIX-compliant software on the Windows platform.
  • B. Kernel32
    Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
  • C. MinGW
    MinGW is a minimalist development environment for native Microsoft Windows applications that provides GNU toolchain components like GCC and related utilities.
  • D. CYG
    CYG is the abbreviation commonly used for the Commonwealth Youth Games, an international multi-sport event for young athletes from Commonwealth nations.
  • E. Win32 API
    Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a7021081909f81c4ddb48fa00c completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.