Triple

T37269276
Position Surface form Disambiguated ID Type / Status
Subject BMW R75 E924469 entity
Predicate hasReverseGear P68759 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: [BMW R75, hasReverseGear, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReverseGear
Context triple: [BMW R75, hasReverseGear, true]
  • A. hasNumberOfGears
    Indicates that an entity possesses a specified count of gears as a characteristic or component.
  • B. hasSteering
    Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
  • C. drivetrainFeature chosen
    Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
  • D. isUsedToReverse
    Indicates that one entity serves the function of undoing, inverting, or changing the direction or effect of another entity or process.
  • E. hasReverse
    Indicates that one entity serves as the inverse or opposite counterpart of another entity in a given relationship or operation.
  • 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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:15 p.m.