Triple

T16859415
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Tucson E409868 entity
Predicate relatedTo P37 FINISHED
Object Hyundai Elantra E388729 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 Elantra | Statement: [Hyundai Tucson, relatedTo, Hyundai Elantra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Elantra
Context triple: [Hyundai Tucson, relatedTo, Hyundai Elantra]
  • A. Hyundai Elantra chosen
    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.
  • B. Hyundai Sonata
    The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
  • C. Kia Optima
    The Kia Optima is a midsize family sedan known for its value, modern styling, and generous features.
  • 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. Hyundai Santa Fe
    The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.