Triple

T2313331
Position Surface form Disambiguated ID Type / Status
Subject PEP 0 E51006 entity
Predicate hasSection P35 FINISHED
Object Informational PEPs E51003 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: Informational PEPs | Statement: [PEP 0, hasSection, Informational PEPs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Informational PEPs
Context triple: [PEP 0, hasSection, Informational PEPs]
  • A. PEPs chosen
    PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
  • B. Provisional PEPs
    Provisional PEPs are a category of Python Enhancement Proposals that introduce features or changes on a trial basis, allowing them to be tested and refined before being fully accepted or rejected.
  • C. PEP 0
    PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
  • D. PEP 1
    PEP 1 is the foundational Python Enhancement Proposal that defines the purpose, structure, and workflow for all other PEPs in the Python community process.
  • E. PEPSSI
    PEPSSI is a particle spectrometer aboard NASA’s New Horizons spacecraft designed to measure energetic ions and electrons in the outer solar system.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9610b420819095afb76347ddf9ee completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.