Triple

T18015685
Position Surface form Disambiguated ID Type / Status
Subject WSGIRestrictStdout E430992 entity
Predicate loggingRecommendation P34894 FINISHED
Object use Python logging module instead of writing to stdout LITERAL 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: use Python logging module instead of writing to stdout | Statement: [WSGIRestrictStdout, loggingRecommendation, use Python logging module instead of writing to stdout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loggingRecommendation
Context triple: [WSGIRestrictStdout, loggingRecommendation, use Python logging module instead of writing to stdout]
  • A. securityRecommendation
    Indicates that one entity advises or prescribes specific security-related actions, settings, or measures for another entity.
  • B. recommendsUseOf chosen
    Indicates that one entity advises, endorses, or suggests the use of another entity as appropriate or beneficial in a given context.
  • C. canIssueRecommendations
    Indicates that an entity has the authority or capability to provide formal recommendations to another entity or about a particular matter.
  • D. recommendedAction
    Indicates that one entity suggests or prescribes a particular action for another entity to take.
  • E. securityAdvisory
    Indicates a relationship where an entity issues, references, or is associated with a warning or guidance about security vulnerabilities, risks, or protective measures.
  • F. None of above.

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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
PD Predicate disambiguation batch_69e3f904b8048190add43883cd7cb191 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:24 a.m.