Triple

T2313392
Position Surface form Disambiguated ID Type / Status
Subject Process PEP E51007 entity
Predicate categoryDefinedIn P38004 FINISHED
Object PEP 1 E51178 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: PEP 1 | Statement: [Process PEP, categoryDefinedIn, PEP 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 1
Context triple: [Process PEP, categoryDefinedIn, PEP 1]
  • A. PEP 1 chosen
    PEP 1 is the foundational Python Enhancement Proposal that defines the purpose, structure, and workflow for all other PEPs in the Python community process.
  • B. PEP 0
    PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
  • C. PEP 13
    PEP 13 is the Python Enhancement Proposal that defines the process and rules for selecting and operating the Python Steering Council, the core governance body of the Python project.
  • D. PEP 8016
    PEP 8016 is a Python Enhancement Proposal that defined a governance model for the Python project following Guido van Rossum’s retirement as BDFL.
  • E. PEP 1 – PEP Purpose and Guidelines
    PEP 1 – PEP Purpose and Guidelines is the foundational Python Enhancement Proposal that defines the goals, structure, and workflow for all other PEPs in the Python development process.
  • 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: categoryDefinedIn
Context triple: [Process PEP, categoryDefinedIn, PEP 1]
  • A. category
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • B. canonicalCategory
    Indicates that an entity is assigned to its primary or standard category within a classification system.
  • C. category1Description
    Indicates that something serves as the primary descriptive text or explanation for a first or main category.
  • D. categoryStatus
    Indicates the current state or condition assigned to a category within a given system or context.
  • E. labelCatalog
    Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3bbea88819089f069be4d369692 completed March 9, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69abc58e88e481908733fdf79d3f8a15 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc682d094819081a96ffb77c4c42a completed March 7, 2026, 6:32 a.m.
Created at: March 4, 2026, 7:49 p.m.