Triple

T1284748
Position Surface form Disambiguated ID Type / Status
Subject Baojun E200 E27408 entity
Predicate steering P25025 FINISHED
Object left-hand drive 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: left-hand drive | Statement: [Baojun E200, steering, left-hand drive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: steering
Context triple: [Baojun E200, steering, left-hand drive]
  • A. steeringType
    Indicates the kind or mechanism of steering control used to direct the movement of an entity.
  • B. steeringWheelPosition chosen
    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.
  • C. drives
    Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
  • D. orientation
    Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
  • E. drivingSide
    Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b6dda48190a2e79084adea6ec1 completed March 1, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69a4bee276d8819092f71c5a1140bb61 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.