Triple

T13443035
Position Surface form Disambiguated ID Type / Status
Subject Zhejiang Geely Holding Group E320412 entity
Predicate owns P347 FINISHED
Object Polestar E320415 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: Polestar | Statement: [Zhejiang Geely Holding Group, owns, Polestar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polestar
Context triple: [Zhejiang Geely Holding Group, owns, Polestar]
  • A. Polestar chosen
    Polestar is a Swedish automotive brand focused on high-performance electric vehicles and advanced automotive technology.
  • B. Mercedes-EQ
    Mercedes-EQ is Mercedes-Benz’s dedicated sub-brand for fully electric vehicles, encompassing a range of battery-powered luxury cars and SUVs.
  • C. Volvo Cars
    Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
  • D. Rimac
    Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
  • E. Koenigsegg
    Koenigsegg is a Swedish high-performance automotive manufacturer renowned for producing ultra-fast, technologically advanced hypercars.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee881888190811ddf01bc699864 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739965ef081909e85881ce805bbb5 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.