Triple

T11751650
Position Surface form Disambiguated ID Type / Status
Subject DPMI E279419 entity
Predicate usedBy P260 FINISHED
Object DJGPP
DJGPP is a 32-bit C/C++ development environment and compiler suite for DOS systems, based on the GNU Compiler Collection (GCC).
E944924 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: DJGPP | Statement: [DPMI, usedBy, DJGPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJGPP
Context triple: [DPMI, usedBy, DJGPP]
  • A. MinGW
    MinGW is a minimalist development environment for native Microsoft Windows applications that provides GNU toolchain components like GCC and related utilities.
  • B. Turbo C++
    Turbo C++ is an early integrated development environment and compiler for the C and C++ programming languages that was widely used on DOS and Windows systems in the 1990s.
  • C. Turbo C
    Turbo C is an early integrated development environment and compiler for the C programming language, widely used in the late 1980s and 1990s for DOS-based software development.
  • D. FreeDOS
    FreeDOS is a free, open-source operating system that is compatible with and serves as a replacement for MS-DOS.
  • E. Cygwin
    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.
  • 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: DJGPP
Triple: [DPMI, usedBy, DJGPP]
Generated description
DJGPP is a 32-bit C/C++ development environment and compiler suite for DOS systems, based on the GNU Compiler Collection (GCC).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DJGPP
Target entity description: DJGPP is a 32-bit C/C++ development environment and compiler suite for DOS systems, based on the GNU Compiler Collection (GCC).
  • A. MinGW
    MinGW is a minimalist development environment for native Microsoft Windows applications that provides GNU toolchain components like GCC and related utilities.
  • B. Turbo C++
    Turbo C++ is an early integrated development environment and compiler for the C and C++ programming languages that was widely used on DOS and Windows systems in the 1990s.
  • C. Turbo C
    Turbo C is an early integrated development environment and compiler for the C programming language, widely used in the late 1980s and 1990s for DOS-based software development.
  • D. FreeDOS
    FreeDOS is a free, open-source operating system that is compatible with and serves as a replacement for MS-DOS.
  • E. Cygwin
    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.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a509c2448190b0deb7ed29c3a73f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a13550081909a26f57b30d68e03 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.