Triple

T5257201
Position Surface form Disambiguated ID Type / Status
Subject Nissan Navara E118729 entity
Predicate predecessor P97 FINISHED
Object Datsun Truck E507035 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: Datsun Truck | Statement: [Nissan Navara, predecessor, Datsun Truck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datsun Truck
Context triple: [Nissan Navara, predecessor, Datsun Truck]
  • A. Nissan NV400
    The Nissan NV400 is a large light commercial van developed in partnership with Renault and Opel/Vauxhall, sharing its platform with the Renault Master.
  • B. Toyota T100
    The Toyota T100 is a full-size pickup truck produced by Toyota in the 1990s that served as the brand’s early entry into the North American full-size truck market.
  • C. Datsun chosen
    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. Hino
    Hino is a town in Shiga Prefecture, Japan, known for its historical streetscapes and traditional industries.
  • E. Hino
    Hino is a city in western Tokyo, Japan, known as a residential and industrial suburb within the Tama area.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba64fe48190943e7d49f6e1449a completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06bfa5e48190bc9313a39d95531e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.