Triple

T13502942
Position Surface form Disambiguated ID Type / Status
Subject Auto Union Type D E320937 entity
Predicate wheelDrivePosition P110674 FINISHED
Object rear wheels 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 wheels | Statement: [Auto Union Type D, wheelDrivePosition, rear wheels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wheelDrivePosition
Context triple: [Auto Union Type D, wheelDrivePosition, rear wheels]
  • A. steeringWheelPosition
    Indicates the relative location or orientation of a steering wheel with respect to a reference point, such as a vehicle’s interior layout or driving side.
  • B. electricMotorPosition
    Indicates the rotational position or angle of an electric motor at a given moment.
  • C. wheelbase
    Indicates the distance between the centers of the front and rear wheels of a vehicle.
  • D. wheelArrangementSystem
    Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
  • E. motorPosition
    Indicates the specific location or angle at which a motor’s moving component is currently set.
  • F. None of above. chosen

Provenance (4 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf50f4a48190a44fc537b78c32fd completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
PDg Predicate description generation batch_69dbaecc98cc8190829f5be759c4f1e3 completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:43 p.m.