Triple

T12372932
Position Surface form Disambiguated ID Type / Status
Subject libc++abi E295047 entity
Predicate buildSystem P2012 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: [libc++abi, buildSystem, CMake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMake
Context triple: [libc++abi, buildSystem, 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. QMake
    QMake is a build automation tool from the Qt framework that generates Makefiles and project files to simplify compiling and linking C++/Qt applications across platforms.
  • C. Ninja build system
    Ninja build system is a fast, low-level build tool designed for speed and efficiency, commonly used as a backend by higher-level build systems like CMake for large software projects.
  • D. 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.
  • E. BitBake
    BitBake is a build engine and task scheduler widely used in embedded Linux development to generate complete, customizable system images from layered metadata.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63473efd481909b2061f3b19e1aaf completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.