Triple

T816216
Position Surface form Disambiguated ID Type / Status
Subject Stackless Python E17656 entity
Predicate compatibleWith P203 FINISHED
Object CPython C API (largely) E9268 NE 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: CPython C API (largely) | Statement: [Stackless Python, compatibleWith, CPython C API (largely)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPython C API (largely)
Context triple: [Stackless Python, compatibleWith, CPython C API (largely)]
  • 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. 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.
  • C. Python core developers
    Python core developers are the group of trusted contributors responsible for designing, implementing, and maintaining the official Python language and its reference implementation.
  • D. Win32 API
    Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
  • E. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.