Triple

T18379748
Position Surface form Disambiguated ID Type / Status
Subject Renault Samsung Motors E446411 entity
Predicate brand P1500 FINISHED
Object Renault Samsung 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: Renault Samsung | Statement: [Renault Samsung Motors, brand, Renault Samsung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault Samsung
Context triple: [Renault Samsung Motors, brand, Renault Samsung]
  • A. Renault Samsung Motors chosen
    Renault Samsung Motors is a South Korean automobile manufacturer that operates as Renault's local brand, producing and selling passenger vehicles primarily for the Korean market.
  • B. Renault
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • C. Kia Motors
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • D. Hyundai Motor Europe
    Hyundai Motor Europe is the European regional headquarters and sales, marketing, and distribution arm of the South Korean automaker Hyundai Motor Company.
  • E. Hyundai Motor Company
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.