Triple

T148086
Position Surface form Disambiguated ID Type / Status
Subject Python E3372 entity
Predicate standardImplementation P1587 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, standardImplementation, CPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPython
Context triple: [Python, standardImplementation, 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. Python Software Foundation
    The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
  • D. Python Enhancement Proposals
    Python Enhancement Proposals (PEPs) are the formal design documents that propose, specify, and document new features, processes, and standards for the Python programming language.
  • E. Guido van Rossum
    Guido van Rossum is a Dutch programmer best known as the creator of the Python programming language.
  • 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: standardImplementation
Context triple: [Python, standardImplementation, CPython]
  • A. standardType
    Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
  • B. standardNumber
    Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
  • C. firstStandardized
    Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
  • D. usesStandard chosen
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • E. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c27754a881908ef5a96e05e515e3 completed Feb. 28, 2026, 10:24 a.m.
PD Predicate disambiguation batch_69a256580c2c8190beecca60ca8595f3 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.