Triple

T11959547
Position Surface form Disambiguated ID Type / Status
Subject MSYS E284631 entity
Predicate basedOn P98 FINISHED
Object Cygwin 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 | Statement: [MSYS, basedOn, Cygwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cygwin
Context triple: [MSYS, basedOn, Cygwin]
  • 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. MSYS2
    MSYS2 is a software distribution and development platform for Windows that provides a Unix-like environment, package management, and native builds using tools like MinGW-w64 and Pacman.
  • C. MinGW
    MinGW is a minimalist development environment for native Microsoft Windows applications that provides GNU toolchain components like GCC and related utilities.
  • D. MSYS
    MSYS is a minimalist POSIX-like environment for Windows that provides essential Unix tools and a shell, commonly used alongside MinGW for software development and building.
  • E. DJGPP
    DJGPP is a 32-bit C/C++ development environment and compiler suite for DOS systems, based on the GNU Compiler Collection (GCC).
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.