Triple

T14274096
Position Surface form Disambiguated ID Type / Status
Subject M1140 FMTV 6x6 truck E353869 entity
Predicate driveAxles P84837 FINISHED
Object 3 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: 3 | Statement: [M1140 FMTV 6x6 truck, driveAxles, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: driveAxles
Context triple: [M1140 FMTV 6x6 truck, driveAxles, 3]
  • A. numberOfAxlesDriven chosen
    Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
  • B. hasAxleCount
    Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
  • C. drivetrainFeature
    Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
  • D. axleLoad
    Indicates the amount of weight or force that is supported or exerted by a single axle in a vehicle or structure.
  • E. drivetrainRole
    Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a88446481909cd526da97a3b70f completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:10 a.m.