Triple

T18379635
Position Surface form Disambiguated ID Type / Status
Subject Dacia E446408 entity
Predicate hasElectricModel P12594 FINISHED
Object Dacia Spring Electric NE NERFINISHED

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: Dacia Spring Electric | Statement: [Dacia, hasElectricModel, Dacia Spring Electric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dacia Spring Electric
Context triple: [Dacia, hasElectricModel, Dacia Spring Electric]
  • A. Dacia Spring Electric chosen
    Dacia Spring Electric is an affordable, compact all-electric city car produced by Romanian carmaker Dacia, aimed at budget-conscious urban drivers.
  • B. Renault Zoe
    The Renault Zoe is a compact all-electric hatchback known for popularizing affordable urban electric mobility in Europe.
  • C. Renault Kangoo Z.E.
    The Renault Kangoo Z.E. is an all-electric light commercial van designed for urban deliveries and eco-friendly utility use.
  • D. Peugeot iOn
    The Peugeot iOn is a compact all-electric city car developed in collaboration with Mitsubishi, essentially a rebadged version of the Mitsubishi i-MiEV for the European market.
  • E. Peugeot e-Boxer
    The Peugeot e-Boxer is the fully electric version of Peugeot’s large Boxer van, designed for zero-emission commercial transport with a battery-powered drivetrain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.