Triple

T17557265
Position Surface form Disambiguated ID Type / Status
Subject PEP 420 E427619 entity
Predicate relatedTo P37 FINISHED
Object PEP 406
PEP 406 is a Python Enhancement Proposal that explored a standardized virtual environment mechanism for Python, influencing later work on packaging and environment management.
 E1286406 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: PEP 406 | Statement: [PEP 420, relatedTo, PEP 406]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEP 406
Context triple: [PEP 420, relatedTo, PEP 406]
  • A. PEP 426
    PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
  • B. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • C. PEP 427
    PEP 427 is the Python Enhancement Proposal that defines the Wheel binary package format used for distributing and installing Python projects.
  • D. PEP 604
    PEP 604 is a Python Enhancement Proposal that introduced the modern, concise syntax for expressing type unions (using the `|` operator) in Python’s type hints.
  • E. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • 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: PEP 406
Triple: [PEP 420, relatedTo, PEP 406]
Generated description
PEP 406 is a Python Enhancement Proposal that explored a standardized virtual environment mechanism for Python, influencing later work on packaging and environment management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEP 406
Target entity description: PEP 406 is a Python Enhancement Proposal that explored a standardized virtual environment mechanism for Python, influencing later work on packaging and environment management.
  • A. PEP 426
    PEP 426 was a proposed Python Enhancement Proposal that aimed to standardize a new metadata format for Python packages but was ultimately superseded before full adoption.
  • B. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • C. PEP 427
    PEP 427 is the Python Enhancement Proposal that defines the Wheel binary package format used for distributing and installing Python projects.
  • D. PEP 604
    PEP 604 is a Python Enhancement Proposal that introduced the modern, concise syntax for expressing type unions (using the `|` operator) in Python’s type hints.
  • E. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562413d08190acaa5272046d3626 completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efa610c88190a2fa093066c17a94 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f0a3cd5c8190b5c05694f5304d01 completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18036788190ad1a2893fd104261 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 5:50 a.m.