Triple

T9982456
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Jetta E196485 entity
Predicate competitor P1375 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: [Volkswagen Jetta, competitor, Hyundai Elantra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Elantra
Context triple: [Volkswagen Jetta, competitor, 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 Santa Fe
    The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
  • E. 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.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257e888908190a7187e26ba025a44 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.