Triple

T9226900
Position Surface form Disambiguated ID Type / Status
Subject Ford Fusion E221705 entity
Predicate competitor P1375 FINISHED
Object Nissan Altima E118726 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: Nissan Altima | Statement: [Ford Fusion, competitor, Nissan Altima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Altima
Context triple: [Ford Fusion, competitor, 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.

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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9ecef48190b8aa0e316d07cec7 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066521f288190a54b1199284db7a4 completed April 4, 2026, 1:16 a.m.
Created at: March 30, 2026, 7:28 p.m.