Triple

T6622364
Position Surface form Disambiguated ID Type / Status
Subject Honda Passport (crossover era) E149705 entity
Predicate competitor P1375 FINISHED
Object Hyundai Santa Fe E414252 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 Santa Fe | Statement: [Honda Passport (crossover era), competitor, Hyundai Santa Fe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Santa Fe
Context triple: [Honda Passport (crossover era), competitor, Hyundai Santa Fe]
  • A. Hyundai Santa Fe chosen
    The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
  • B. Hyundai Tucson
    The Hyundai Tucson is a compact crossover SUV known for its practicality, modern styling, and strong value in the global automotive market.
  • C. Kia Sportage
    The Kia Sportage is a compact crossover SUV known for its modern styling, practicality, and value-oriented features in the family SUV segment.
  • D. Hyundai Sonata
    The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
  • E. 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.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e448b00081908b336a2bd7fb3820 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.