Triple

T2629858
Position Surface form Disambiguated ID Type / Status
Subject Eclipse CDT E59605 entity
Predicate supportsBuildSystem P13398 FINISHED
Object CMake E284629 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: CMake | Statement: [Eclipse CDT, supportsBuildSystem, CMake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMake
Context triple: [Eclipse CDT, supportsBuildSystem, CMake]
  • A. CMake chosen
    CMake is an open-source, cross-platform build system generator that manages the build process for software projects using compiler- and platform-independent configuration files.
  • B. GNU Make
    GNU Make is a widely used build automation tool that controls the compilation and linking of programs by interpreting makefiles to manage dependencies and execute commands efficiently.
  • C. Code::Blocks
    Code::Blocks is a free, open-source, cross-platform integrated development environment (IDE) primarily designed for C, C++, and Fortran programming.
  • D. GNU Automake
    GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
  • E. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • 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_69af98b93a108190b21f4af3e8c16c2b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.