Triple

T20634270
Position Surface form Disambiguated ID Type / Status
Subject Venucia E507036 entity
Predicate brandOf P1500 FINISHED
Object Dongfeng Nissan 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: Dongfeng Nissan | Statement: [Venucia, brandOf, Dongfeng Nissan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongfeng Nissan
Context triple: [Venucia, brandOf, Dongfeng Nissan]
  • A. Dongfeng chosen
    Dongfeng is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles and partnering with global car brands.
  • B. Chery Automobile
    Chery Automobile is a major Chinese state-owned car manufacturer known for producing affordable passenger vehicles and exporting them to numerous international markets.
  • C. Changan
    Changan is a major Chinese automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles.
  • D. SAIC Motor
    SAIC Motor is a major Chinese state-owned automotive manufacturer and one of the country’s largest carmakers, producing vehicles under its own brands and through joint ventures with global and regional partners.
  • E. Nanjing Automobile
    Nanjing Automobile is a major Chinese state-owned automobile manufacturer known for acquiring the MG brand and producing passenger cars and commercial vehicles.
  • 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.