Triple

T13228116
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz EQV E314932 entity
Predicate regenerativeBraking P44376 FINISHED
Object multiple recuperation levels 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: multiple recuperation levels | Statement: [Mercedes-Benz EQV, regenerativeBraking, multiple recuperation levels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regenerativeBraking
Context triple: [Mercedes-Benz EQV, regenerativeBraking, multiple recuperation levels]
  • A. energyRecoverySystem chosen
    Indicates that an entity is equipped with or utilizes a system designed to recover and reuse energy that would otherwise be lost.
  • B. brakeType
    Indicates the specific kind or system of brakes associated with an entity.
  • C. electrificationSystem
    Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
  • D. drivingForce
    Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
  • E. rechargeable
    Indicates that an entity can have its stored energy replenished, typically by being connected to a power source, and thus can be used repeatedly rather than discarded after a single use.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:21 p.m.