Triple

T16179250
Position Surface form Disambiguated ID Type / Status
Subject MG5 EV E392643 entity
Predicate competitor P1375 FINISHED
Object Hyundai Kona Electric E17565 NE 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: Hyundai Kona Electric | Statement: [MG5 EV, competitor, Hyundai Kona Electric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Kona Electric
Context triple: [MG5 EV, competitor, Hyundai Kona Electric]
  • A. Hyundai Kona Electric chosen
    The Hyundai Kona Electric is a subcompact all-electric crossover SUV known for its practical range, compact size, and affordability in the mainstream EV market.
  • B. Kia Niro EV
    The Kia Niro EV is a compact all-electric crossover SUV known for its practical range, efficient performance, and versatile hatchback design.
  • C. Hyundai Ioniq
    Hyundai Ioniq is a line of eco-friendly compact cars from Hyundai that includes hybrid, plug-in hybrid, and fully electric models designed for high efficiency and low emissions.
  • D. Kia EV6
    The Kia EV6 is a fully electric compact crossover SUV known for its sharp styling, long-range capability, and fast-charging performance.
  • E. Hyundai Ioniq 5
    The Hyundai Ioniq 5 is a fully electric compact crossover SUV known for its distinctive retro-futuristic design, advanced EV platform, and competitive range and charging performance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000787d3fc8190a32d53a177fedb6d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.