Triple

T18896648
Position Surface form Disambiguated ID Type / Status
Subject Timo Salonen E462225 entity
Predicate carDriven P7364 FINISHED
Object Datsun Violet 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: Datsun Violet | Statement: [Timo Salonen, carDriven, Datsun Violet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datsun Violet
Context triple: [Timo Salonen, carDriven, Datsun Violet]
  • A. Datsun Cherry
    The Datsun Cherry was a compact front-wheel-drive car produced by Nissan in the 1970s and early 1980s, known as one of the company’s early global small cars.
  • B. Datsun 810
    The Datsun 810 is a late-1970s to early-1980s mid-size sedan and wagon produced by Nissan, known for its inline-six engines and for evolving into the Nissan Maxima.
  • C. Datsun
    Datsun is a historic Japanese automobile brand, revived as a budget-focused marque under the Renault–Nissan–Mitsubishi Alliance and known for its small, affordable cars.
  • D. Nissan Bluebird chosen
    The Nissan Bluebird is a long-running line of family sedans and compact cars produced by Nissan, known for its global popularity and role in establishing the brand’s international presence.
  • E. Nissan Latio
    The Nissan Latio is a subcompact sedan produced by Nissan, marketed in various regions as a practical, fuel-efficient family car.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47f6c948190918ade08bb88f1fd completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.