Triple

T17972395
Position Surface form Disambiguated ID Type / Status
Subject Renault Trafic E449377 entity
Predicate platformSharingWith P8246 FINISHED
Object Nissan NV300 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: Nissan NV300 | Statement: [Renault Trafic, platformSharingWith, Nissan NV300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan NV300
Context triple: [Renault Trafic, platformSharingWith, Nissan NV300]
  • A. Nissan NV300 chosen
    The Nissan NV300 is a mid-size light commercial van produced by Nissan, based on and closely related to the Renault Trafic, and offered in various cargo and passenger configurations for European markets.
  • B. Nissan NV200
    The Nissan NV200 is a compact front-wheel-drive cargo van and passenger vehicle designed for urban commercial use and efficiency.
  • C. 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.
  • D. Nissan Navara
    The Nissan Navara is a mid-size pickup truck known for its durability, off-road capability, and popularity in global markets for both work and recreational use.
  • E. Nissan Safari
    The Nissan Safari is a rugged, full-size 4x4 SUV known for its strong off-road capability and durability, particularly popular in markets like Japan and parts of Asia-Pacific.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fb58c481909726d6f916f6f646 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.