Triple

T8350345
Position Surface form Disambiguated ID Type / Status
Subject Mazda6 E196141 entity
Predicate competitor P1375 FINISHED
Object Kia K5 / Optima E680877 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: Kia K5 / Optima | Statement: [Mazda6, competitor, Kia K5 / Optima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia K5 / Optima
Context triple: [Mazda6, competitor, Kia K5 / Optima]
  • A. Kia Optima
    The Kia Optima is a midsize family sedan known for its value, modern styling, and generous features.
  • B. Kia K5 chosen
    The Kia K5 is a mid-size family sedan known for its sleek styling, advanced technology features, and value-oriented positioning in Kia’s global lineup.
  • C. 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.
  • D. Kia Soul
    The Kia Soul is a compact crossover SUV known for its boxy design, spacious interior, and distinctive youthful styling.
  • E. Kia Rio
    The Kia Rio is a subcompact car produced by South Korean automaker Kia, known for its affordability, fuel efficiency, and practicality for city driving.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc74e11f881908b52d0ffea751c96 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.