Triple

T8285047
Position Surface form Disambiguated ID Type / Status
Subject Linux kernel community E193768 entity
Predicate hasCodeOfConduct P10803 FINISHED
Object yes 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: yes | Statement: [Linux kernel community, hasCodeOfConduct, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCodeOfConduct
Context triple: [Linux kernel community, hasCodeOfConduct, yes]
  • A. hasMoralCode
    Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
  • B. hasEthicsDocument chosen
    Indicates that an entity possesses or is associated with a formal document outlining ethical principles, guidelines, or policies.
  • C. hasHonorPrinciple
    Indicates that an entity adheres to or is guided by a specific principle related to honor or honorable conduct.
  • D. hasEthicsBody
    Indicates that an entity is associated with, overseen by, or governed through a formal ethics committee or ethics review body.
  • E. hasEthicalConstraint
    Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69cb70ad9fc081908741f8c4a4141edf completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:52 p.m.