Triple

T11758602
Position Surface form Disambiguated ID Type / Status
Subject Kia Forum E279593 entity
Predicate sponsor P67 FINISHED
Object Kia America E172700 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: Kia America | Statement: [Kia Forum, sponsor, Kia America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia America
Context triple: [Kia Forum, sponsor, Kia America]
  • A. Kia Motors chosen
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • B. Hyundai Motor America
    Hyundai Motor America is the U.S.-based sales, marketing, and distribution arm of the South Korean automaker Hyundai, responsible for managing the brand’s operations in the American market.
  • C. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • D. Kia
    Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
  • E. Kia Canada
    Kia Canada is the Canadian subsidiary of the global automaker Kia, responsible for marketing, sales, and distribution of Kia vehicles across Canada.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5220f148190ae60d1941a579ab6 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.