Triple

T29911337
Position Surface form Disambiguated ID Type / Status
Subject SCNAction E759680 entity
Predicate canBeReversed P139986 FINISHED
Object true 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: true | Statement: [SCNAction, canBeReversed, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeReversed
Context triple: [SCNAction, canBeReversed, true]
  • A. mayReverse chosen
    Indicates that an action, process, or state can be undone or returned to a previous condition.
  • B. isUsedToReverse
    Indicates that one entity serves the function of undoing, inverting, or changing the direction or effect of another entity or process.
  • C. canRevertTo
    Indicates that one state, version, or condition has the ability to be changed back or restored to another prior state, version, or condition.
  • D. hasReverse
    Indicates that one entity serves as the inverse or opposite counterpart of another entity in a given relationship or operation.
  • E. reversible
    Indicates that the relationship or process can proceed in both directions, allowing a return to the original state or configuration.
  • 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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: April 29, 2026, 6:10 p.m.