Triple

T400684
Position Surface form Disambiguated ID Type / Status
Subject Python Software Foundation E9272 entity
Predicate supportsProject P12986 FINISHED
Object CPython E9268 NE FINISHED

How this triple was built (3 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: CPython | Statement: [Python Software Foundation, supportsProject, CPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPython
Context triple: [Python Software Foundation, supportsProject, CPython]
  • A. Python reference implementation (CPython) chosen
    Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
  • B. Python
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • C. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • D. Jython
    Jython is an implementation of the Python programming language that runs on the Java platform and allows seamless integration with Java code and libraries.
  • E. Stackless Python
    Stackless Python is an enhanced version of the Python interpreter that provides lightweight microthreads and improved concurrency support without relying on the C call stack.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsProject
Context triple: [Python Software Foundation, supportsProject, CPython]
  • A. supportsProjectType
    Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
  • B. supportsTeam
    Indicates that one entity provides backing, assistance, or endorsement to a particular team.
  • C. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • D. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • E. supportsActivity
    Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103f9f588190aabdf7f5d6422d09 completed March 1, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69a2e96ee4ec8190a5c0e3f491d3963d completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2eb7c56bc8190ab787801af2eec8d completed Feb. 28, 2026, 1:19 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.