Triple

T5471897
Position Surface form Disambiguated ID Type / Status
Subject Nissan Sentra E122852 entity
Predicate hasGeneration P455 FINISHED
Object sixth generation Nissan Sentra E122852 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: sixth generation Nissan Sentra | Statement: [Nissan Sentra, hasGeneration, sixth generation Nissan Sentra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: sixth generation Nissan Sentra
Context triple: [Nissan Sentra, hasGeneration, sixth generation Nissan Sentra]
  • A. Nissan Sentra chosen
    The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
  • B. Nissan Altima
    The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
  • C. Nissan Maxima
    The Nissan Maxima is a mid-size to full-size sedan known for combining sporty performance with upscale features in Nissan’s lineup.
  • D. Nissan Versa
    The Nissan Versa is a subcompact economy car known for its affordability, spacious interior, and fuel efficiency.
  • E. Nissan Stanza
    The Nissan Stanza is a compact/midsize family sedan and hatchback produced by Nissan primarily during the 1980s and early 1990s, known as a practical, economical predecessor to later models like the Altima.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fda8a5c81908832c2d59886d824 completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2:09 p.m.