Triple

T20634296
Position Surface form Disambiguated ID Type / Status
Subject Venucia E507036 entity
Predicate competitor P1375 FINISHED
Object Geely 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: Geely | Statement: [Venucia, competitor, Geely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geely
Context triple: [Venucia, competitor, Geely]
  • A. Zhejiang Geely Holding Group chosen
    Zhejiang Geely Holding Group is a major Chinese multinational automotive conglomerate known for owning global car brands such as Volvo Cars and Geely Auto.
  • B. Changan
    Changan is a major Chinese automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles.
  • C. BYD Auto
    BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
  • D. BYD
    BYD is the National Rail station code for Barry Docks railway station in the Vale of Glamorgan, Wales.
  • E. 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.
  • 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.