Triple

T17418152
Position Surface form Disambiguated ID Type / Status
Subject Nissan Smyrna Assembly Plant E423537 entity
Predicate hasProducedModel P45160 FINISHED
Object Nissan Altima NE NERFINISHED

How this triple was built (3 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 Altima | Statement: [Nissan Smyrna Assembly Plant, hasProducedModel, Nissan Altima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Altima
Context triple: [Nissan Smyrna Assembly Plant, hasProducedModel, Nissan Altima]
  • A. Nissan Altima chosen
    The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
  • B. 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.
  • C. Nissan Sentra
    The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProducedModel
Context triple: [Nissan Smyrna Assembly Plant, hasProducedModel, Nissan Altima]
  • A. producedModel chosen
    Indicates that one entity created, manufactured, or generated the other entity as a model or product.
  • B. hasModelledFor
    Indicates that one entity has served as a model for another entity, typically in a professional or representational context such as art, photography, or fashion.
  • C. hasProduction
    Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
  • D. hasReleaseModel
    Indicates the type or strategy of release associated with an entity, such as how or under what model it is made available.
  • E. hadModel
    Indicates that an entity possessed, used, or was associated with a particular model (e.g., a product, design, or version) at some point in time.
  • F. None of above.

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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44234d840819096484a15d407785a completed April 19, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69e3b02e6cc88190986e85e64ce9383e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:46 a.m.