Triple

T16727266
Position Surface form Disambiguated ID Type / Status
Subject Suzuki Swift E406494 entity
Predicate competitor P1375 FINISHED
Object Honda Jazz E94606 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: Honda Jazz | Statement: [Suzuki Swift, competitor, Honda Jazz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Jazz
Context triple: [Suzuki Swift, competitor, Honda Jazz]
  • A. Honda Fit chosen
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • B. Honda Civic
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • C. Honda Legend
    The Honda Legend is a flagship executive sedan produced by Honda, known for its advanced technology, luxury features, and role as the basis for Acura’s high-end models.
  • D. Baleno
    Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
  • E. Honda HR-V
    The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38748f538819097de1fdee9b42f34 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4627b8819087bbd3ae85a67dfc completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.