Triple

T36116388
Position Surface form Disambiguated ID Type / Status
Subject International Multi-purpose Vehicle E1044624 entity
Predicate driveLayoutOptions P4169 FINISHED
Object rear-wheel 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: rear-wheel drive | Statement: [International Multi-purpose Vehicle, driveLayoutOptions, rear-wheel drive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: driveLayoutOptions
Context triple: [International Multi-purpose Vehicle, driveLayoutOptions, rear-wheel drive]
  • A. driveLayoutSupported
    Indicates that a particular drive layout or configuration is compatible with and can be correctly handled by a given system or component.
  • B. driveType chosen
    Indicates the type or configuration of the drive mechanism used to power or propel an entity.
  • C. driveScheme
    Indicates that one entity operates or controls a scheme, system, or initiative, causing it to function or move forward.
  • D. driveModes
    Indicates that an entity (such as a vehicle or device) supports or operates in one or more specific driving or operational modes.
  • E. vehicleLayout
    Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
  • 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:08 p.m.