Triple

T4325937
Position Surface form Disambiguated ID Type / Status
Subject Cython E96633 entity
Predicate supportsImplementation P19206 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: [Cython, supportsImplementation, CPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPython
Context triple: [Cython, supportsImplementation, 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. Cython
    Cython is a programming language and compiler that extends Python with static typing and direct C/C++ integration to generate fast, optimized extension modules.
  • C. Pythonidae
    Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
  • D. Python
    Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
  • E. Python
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • 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: supportsImplementation
Context triple: [Cython, supportsImplementation, CPython]
  • A. supportsImplementationOf chosen
    Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
  • B. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • D. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • F. None of above.

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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513020f481909ff2fec3934f3002 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db98ae888190aac5b5b7839ae7dd completed March 14, 2026, 10:05 p.m.
PD Predicate disambiguation batch_69b34f4bec888190987fc2631498b637 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:13 p.m.