Triple

T30145279
Position Surface form Disambiguated ID Type / Status
Subject MAN TGM E766236 entity
Predicate axleConfigurations P134496 FINISHED
Object two-axle 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: two-axle | Statement: [MAN TGM, axleConfigurations, two-axle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: axleConfigurations
Context triple: [MAN TGM, axleConfigurations, two-axle]
  • A. hasAxleConfiguration chosen
    Indicates that an entity is associated with a specific arrangement or configuration of its axles.
  • B. frontAxleConfiguration
    Indicates the specific structural or mechanical arrangement of the vehicle’s front axle.
  • C. hasAxleCount
    Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
  • D. wheelArrangementVariants
    Indicates that there are different versions or configurations of wheel arrangements associated with an entity.
  • E. numberOfAxlesDriven
    Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
  • 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e8b21048190b0fbccb10b2d3523 completed May 2, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:18 p.m.