Triple

T35334295
Position Surface form Disambiguated ID Type / Status
Subject BMW sDrive E1020410 entity
Predicate drivenAxle P140850 FINISHED
Object rear axle in rear‑wheel‑drive configurations 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: rear axle in rear‑wheel‑drive configurations | Statement: [BMW sDrive, drivenAxle, rear axle in rear‑wheel‑drive configurations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drivenAxle
Context triple: [BMW sDrive, drivenAxle, rear axle in rear‑wheel‑drive configurations]
  • A. numberOfAxlesDriven
    Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
  • B. primaryDriveAxle chosen
    Indicates that one axle functions as the main source of driving power or torque transmission in a vehicle’s drivetrain.
  • C. secondaryDriveAxle
    Indicates that one entity functions as a secondary drive axle in relation to another entity within a mechanical or vehicular drivetrain system.
  • D. hasAxleCount
    Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
  • E. hasAxleConfiguration
    Indicates that an entity is associated with a specific arrangement or configuration of its axles.
  • 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_69f76debb4e08190be52d89b8af2392d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:03 p.m.