Triple

T16692226
Position Surface form Disambiguated ID Type / Status
Subject Euisun Chung E405621 entity
Predicate affiliation P10 FINISHED
Object Kia Corporation 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 Corporation | Statement: [Euisun Chung, affiliation, Kia Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia Corporation
Context triple: [Euisun Chung, affiliation, Kia Corporation]
  • 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 Company
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • C. Hyundai Motor Group
    Hyundai Motor Group is a South Korean multinational conglomerate primarily known for its global automotive operations, including the Hyundai and Kia brands, along with various affiliated mobility and manufacturing businesses.
  • D. LG Group
    LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
  • E. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eaacb948190954231c9e97a4adf completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaed833c8190ab8a724d279dc52d completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:19 a.m.