Triple

T7628612
Position Surface form Disambiguated ID Type / Status
Subject Kia Motors E172700 entity
Predicate notableModel P1503 FINISHED
Object Kia Optima E199435 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 Optima | Statement: [Kia Motors, notableModel, Kia Optima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia Optima
Context triple: [Kia Motors, notableModel, Kia Optima]
  • A. Kia Optima chosen
    The Kia Optima is a midsize family sedan known for its value, modern styling, and generous features.
  • B. Hyundai Sonata
    The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
  • C. Hyundai Elantra
    The Hyundai Elantra is a compact sedan known for its value-oriented pricing, fuel efficiency, and extensive features, competing with popular models like the Honda Civic.
  • D. 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.
  • E. Kia Sorento
    The Kia Sorento is a mid-size crossover SUV known for its family-friendly interior, available three-row seating, and a balance of comfort, practicality, and value.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa831f508190ab2f72326cdf4497 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab1132481909e525e90764df041 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.