Triple

T37268590
Position Surface form Disambiguated ID Type / Status
Subject Springer Softail E924452 entity
Predicate hasStylingInfluence P44042 FINISHED
Object vintage Harley-Davidson springer models 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: vintage Harley-Davidson springer models | Statement: [Springer Softail, hasStylingInfluence, vintage Harley-Davidson springer models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStylingInfluence
Context triple: [Springer Softail, hasStylingInfluence, vintage Harley-Davidson springer models]
  • A. designInfluenceOn chosen
    Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
  • B. hasAdditionalInfluence
    Indicates that one entity exerts extra or supplementary influence on another entity beyond any primary or baseline effect.
  • C. hasExternalInfluence
    Indicates that one entity affects or alters another entity due to factors or forces originating outside the affected entity.
  • D. hasStyle
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • E. hasScriptInfluenceOn
    Indicates that one script or writing system has influenced the development, form, or usage of another script.
  • 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_6a00776c4ebc8190899005fda34234d5 completed May 10, 2026, 12:17 p.m.
PD Predicate disambiguation batch_6a0076f8a4c4819093ed577e67aa38f9 completed May 10, 2026, 12:15 p.m.
Created at: May 3, 2026, 4:15 p.m.