Triple

T6688917
Position Surface form Disambiguated ID Type / Status
Subject Nissan Murano E152172 entity
Predicate competitor P1375 FINISHED
Object Honda Passport E149705 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 Passport | Statement: [Nissan Murano, competitor, Honda Passport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Passport
Context triple: [Nissan Murano, competitor, Honda Passport]
  • A. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • B. Honda Odyssey
    The Honda Odyssey is a popular family minivan known for its spacious interior, reliability, and practical features.
  • C. Honda Passport (crossover era) chosen
    The Honda Passport (crossover era) is a midsize, two-row SUV built on a unibody platform, positioned between the CR-V and Pilot and aimed at buyers seeking a rugged-looking yet comfortable family crossover.
  • D. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • E. Honda Fit
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14feb28819097bc157df8a2f96e completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b31fa0819089c4debbbbce9d22 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:04 p.m.