Triple

T3802197
Position Surface form Disambiguated ID Type / Status
Subject Honda Civic E91713 entity
Predicate hasVariant P455 FINISHED
Object Honda Civic Hybrid E91713 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 Civic Hybrid | Statement: [Honda Civic, hasVariant, Honda Civic Hybrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Civic Hybrid
Context triple: [Honda Civic, hasVariant, Honda Civic Hybrid]
  • A. Honda Civic chosen
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • B. Toyota Prius
    The Toyota Prius is a pioneering mass-market hybrid electric car renowned for its fuel efficiency and role in popularizing environmentally friendly vehicles worldwide.
  • C. Honda Accord
    The Honda Accord is a popular mid-size car known for its reliability, fuel efficiency, and long-standing presence in the global automotive market.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7b998c08190b252178cd7436951 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f066e30481909e5baa630f3539e4 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.