Triple

T1935173
Position Surface form Disambiguated ID Type / Status
Subject Gatekeeper E41427 entity
Predicate allowsOverrideBy P25381 FINISHED
Object user explicit approval 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: user explicit approval | Statement: [Gatekeeper, allowsOverrideBy, user explicit approval]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsOverrideBy
Context triple: [Gatekeeper, allowsOverrideBy, user explicit approval]
  • A. canOverrule chosen
    Indicates that one entity has the authority or power to reverse, nullify, or supersede the decision or judgment made by another entity.
  • B. allowedReturn
    Indicates that an entity is permitted to be returned or sent back under specified conditions or rules.
  • C. overrides
    Indicates that one entity replaces, supersedes, or takes precedence over another in determining the outcome or applicable behavior.
  • D. vetoOverrideBy
    Indicates that a decision or law previously vetoed by one authority is subsequently overridden and enacted by another authority with sufficient power.
  • E. allows
    Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69abaff07cf88190b4883c5f17f90abd completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.