Triple

T3832145
Position Surface form Disambiguated ID Type / Status
Subject Honda Ridgeline E91037 entity
Predicate relatedModel P37 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: [Honda Ridgeline, relatedModel, Honda Passport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Passport
Context triple: [Honda Ridgeline, relatedModel, 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512259d048190be25add7e38a0326 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:17 p.m.