Triple

T148087
Position Surface form Disambiguated ID Type / Status
Subject Python E3372 entity
Predicate implementation P1417 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, implementation, CPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPython
Context triple: [Python, implementation, 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: implementation
Context triple: [Python, implementation, CPython]
  • A. implementedThrough chosen
    Indicates that something is realized, carried out, or made operational by means of a specified method, mechanism, or intermediary.
  • B. implementedUnder
    Indicates that an action, policy, or process is carried out within the scope, authority, or framework defined by a particular higher-level plan, rule, or governing entity.
  • C. implementedPolicy
    Indicates that a particular policy has been put into effect or carried out by an entity.
  • D. operation
    Indicates that one entity performs, carries out, or controls the functioning of another entity or system.
  • E. architecture
    Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
  • 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_69a2c52df3b48190960c53fd872ff897 completed Feb. 28, 2026, 10:36 a.m.
PD Predicate disambiguation batch_69a256580c2c8190beecca60ca8595f3 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.