Triple

T816237
Position Surface form Disambiguated ID Type / Status
Subject Stackless Python E17656 entity
Predicate featureComparedToCPython P19964 FINISHED
Object microthreads without OS threads LITERAL 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: microthreads without OS threads | Statement: [Stackless Python, featureComparedToCPython, microthreads without OS threads]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featureComparedToCPython
Context triple: [Stackless Python, featureComparedToCPython, microthreads without OS threads]
  • A. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • B. usedByProgrammingLanguages
    Indicates that something (such as a tool, library, paradigm, or feature) is employed or utilized by one or more programming languages.
  • C. cpu
    Indicates that an entity functions as, contains, or is associated with a central processing unit (CPU) in a computational system.
  • D. compiler
    Indicates that one entity serves as a compiler of another, typically transforming source material (such as code or documents) into a compiled or aggregated form.
  • E. cpuArchitecture
    Indicates the type of processor instruction set or hardware architecture that a computing system or component is designed to run on.
  • F. None of above. chosen

Provenance (4 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4781c88190ae36906251347cdc completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:38 p.m.