Triple

T20634668
Position Surface form Disambiguated ID Type / Status
Subject D40 E507045 entity
Predicate marketName P24366 FINISHED
Object Nissan NP300 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 NP300 | Statement: [D40, marketName, Nissan NP300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan NP300
Context triple: [D40, marketName, Nissan NP300]
  • A. Nissan NV300
    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 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.
  • C. Nissan NV200
    The Nissan NV200 is a compact front-wheel-drive cargo van and passenger vehicle designed for urban commercial use and efficiency.
  • D. Nissan Navara chosen
    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 Frontier
    The Nissan Frontier is a midsize pickup truck known for its durability, off-road capability, and value-oriented alternative to other trucks in its class.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0e5fc481909e4f0dd7fb1203fc completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.