Triple

T4325222
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object importlib
importlib is a Python standard library module that provides the implementation of the import mechanism, allowing programs to dynamically import and manage modules.
 E431931 NE FINISHED

How this triple was built (4 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: importlib | Statement: [Python standard library, includesModule, importlib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: importlib
Context triple: [Python standard library, includesModule, importlib]
  • A. packaging (Python library)
    packaging (Python library) is a core Python tool that provides utilities for working with package versions, requirements, and other packaging standards-compliant metadata.
  • B. distutils
    distutils is a now-deprecated Python standard library module that provided tools for distributing and installing Python packages before being largely superseded by setuptools.
  • C. libSystem
    libSystem is the core system library in Darwin-based operating systems (like macOS and iOS), providing fundamental C runtime, POSIX, and low-level system interfaces used by nearly all user-space programs.
  • D. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • E. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: importlib
Triple: [Python standard library, includesModule, importlib]
Generated description
importlib is a Python standard library module that provides the implementation of the import mechanism, allowing programs to dynamically import and manage modules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: importlib
Target entity description: importlib is a Python standard library module that provides the implementation of the import mechanism, allowing programs to dynamically import and manage modules.
  • A. packaging (Python library)
    packaging (Python library) is a core Python tool that provides utilities for working with package versions, requirements, and other packaging standards-compliant metadata.
  • B. distutils
    distutils is a now-deprecated Python standard library module that provided tools for distributing and installing Python packages before being largely superseded by setuptools.
  • C. libSystem
    libSystem is the core system library in Darwin-based operating systems (like macOS and iOS), providing fundamental C runtime, POSIX, and low-level system interfaces used by nearly all user-space programs.
  • D. PEP 634
    PEP 634 is the Python Enhancement Proposal that formally specifies the semantics of structural pattern matching introduced in Python 3.10.
  • E. PEP 635
    PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
  • F. None of above. chosen

Provenance (5 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_69b3563eab24819088add9180af2ce3c completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d10a20248190b3214509cb637ff4 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f08ac4819097e71276be11403d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.