Triple

T17349743
Position Surface form Disambiguated ID Type / Status
Subject Nissan Versa E421775 entity
Predicate competitor P1375 FINISHED
Object Kia Rio 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: Kia Rio | Statement: [Nissan Versa, competitor, Kia Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia Rio
Context triple: [Nissan Versa, competitor, Kia Rio]
  • A. Kia Rio chosen
    The Kia Rio is a subcompact car produced by South Korean automaker Kia, known for its affordability, fuel efficiency, and practicality for city driving.
  • B. Kia Forte
    The Kia Forte is a compact sedan (and hatchback in some markets) known for its value-oriented pricing, modern styling, and generous standard features.
  • C. Hyundai Accent
    The Hyundai Accent is a subcompact car produced by the South Korean automaker Hyundai, known for its affordability, fuel efficiency, and practicality as an entry-level vehicle.
  • D. Hyundai Avante
    The Hyundai Avante is a compact sedan produced by South Korean automaker Hyundai, widely recognized for its affordability, reliability, and fuel efficiency in global markets.
  • E. Kia Soul
    The Kia Soul is a compact crossover SUV known for its boxy design, spacious interior, and distinctive youthful styling.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.