Triple

T5576585
Position Surface form Disambiguated ID Type / Status
Subject GM B-body (early full-size generations) E146332 entity
Predicate suspensionLayout P11929 FINISHED
Object front independent suspension 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: front independent suspension | Statement: [GM B-body (early full-size generations), suspensionLayout, front independent suspension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: suspensionLayout
Context triple: [GM B-body (early full-size generations), suspensionLayout, front independent suspension]
  • A. suspension
    Indicates the temporary removal or halting of a privilege, activity, or status for an entity, often as a consequence or precaution.
  • B. suspensionType chosen
    Indicates the specific kind or configuration of suspension system associated with an entity (e.g., a vehicle or structure).
  • C. layoutOptions
    Indicates how elements are arranged or positioned relative to each other within a given space or structure.
  • D. supportsSuspension
    Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
  • E. controlLayout
    Indicates that one entity determines or manages the spatial or structural arrangement of another entity.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020697fbc8190bd084d7896db3ab8 completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b147cc081909237f3f2967d4cb8 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:37 p.m.