Triple

T24204221
Position Surface form Disambiguated ID Type / Status
Subject Attitude Adjustment E600058 entity
Predicate requiresSetupPosition P132822 FINISHED
Object fireman’s carry 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: fireman’s carry | Statement: [Attitude Adjustment, requiresSetupPosition, fireman’s carry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresSetupPosition
Context triple: [Attitude Adjustment, requiresSetupPosition, fireman’s carry]
  • A. hasPositioning
    Indicates that one entity occupies, is arranged in, or is assigned a specific spatial or relative position with respect to another entity or reference frame.
  • B. requiresConfiguration
    Indicates that one entity depends on another to be set up or configured before it can function or be used.
  • C. supportsPosition
    Indicates that one entity endorses, upholds, or provides backing for the stance, viewpoint, or role represented by another entity.
  • D. bodyPositionRequirement chosen
    Indicates a required or specified physical posture or orientation of a body that must be met for an action, condition, or relationship to hold.
  • E. initiallyPositionedAs
    Indicates that one entity’s starting or original position is specified relative to another entity or reference frame.
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca38c148190ae65cd692567d43d completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:37 p.m.