Triple

T400651
Position Surface form Disambiguated ID Type / Status
Subject Python Software Foundation E9272 entity
Predicate languageOfFocus P1252 FINISHED
Object Python E3372 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: Python | Statement: [Python Software Foundation, languageOfFocus, Python]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python
Context triple: [Python Software Foundation, languageOfFocus, Python]
  • A. Python chosen
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. MicroPython
    MicroPython is a lean and efficient reimplementation of the Python 3 language designed to run on microcontrollers and other resource-constrained embedded systems.
  • 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: languageOfFocus
Context triple: [Python Software Foundation, languageOfFocus, Python]
  • A. languageOfExpression
    Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
  • B. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • D. languageForm
    Indicates the specific linguistic form or expression in which something is conveyed or represented.
  • E. languageShift
    Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
  • 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_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_69a41772e19c8190b02a212f13b4d8aa completed March 1, 2026, 10:39 a.m.
PD Predicate disambiguation batch_69a2e96ee4ec8190a5c0e3f491d3963d completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.