Triple

T21145985
Position Surface form Disambiguated ID Type / Status
Subject Nissan Design Europe E521055 entity
Predicate notableWork P4 FINISHED
Object Nissan Juke design NE NERFINISHED

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: Nissan Juke design | Statement: [Nissan Design Europe, notableWork, Nissan Juke design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Juke design
Context triple: [Nissan Design Europe, notableWork, Nissan Juke design]
  • A. Nissan Juke chosen
    The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
  • B. Nissan Cube
    The Nissan Cube is a compact, box-shaped car known for its quirky asymmetrical design and spacious, practical interior.
  • C. Nissan Kicks
    The Nissan Kicks is a subcompact crossover SUV known for its urban-friendly size, fuel efficiency, and value-oriented pricing.
  • D. Nissan Chill-Out concept
    The Nissan Chill-Out concept is a futuristic electric crossover study showcasing Nissan’s next-generation design language and advanced EV technologies.
  • E. Nissan Micra
    The Nissan Micra is a long-running subcompact hatchback car known for its small size, fuel efficiency, and popularity in urban markets worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fdc25481909d6648e09b069c41 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.