Triple

T11959416
Position Surface form Disambiguated ID Type / Status
Subject CMake E284629 entity
Predicate usesConfigurationLanguage P2177 FINISHED
Object CMake language 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 language | Statement: [CMake, usesConfigurationLanguage, CMake language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMake language
Context triple: [CMake, usesConfigurationLanguage, CMake language]
  • 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. CMP languages
    CMP languages are a subgroup of the Austronesian language family spoken primarily in eastern Indonesia and surrounding regions.
  • C. Camus language
    The Camus language is a Nilotic language spoken by the Camus (Il Chamus) people of Kenya, closely related to Maasai and part of the broader Maa language cluster.
  • D. Maya Embedded Language
    Maya Embedded Language (MEL) is a scripting language used in Autodesk Maya to automate tasks, customize workflows, and create tools for 3D modeling, animation, and rendering.
  • E. Clang
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • 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.