Triple

T4014466
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Motor Company E90721 entity
Predicate subsidiary P258 FINISHED
Object Hyundai Motor India E90721 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: Hyundai Motor India | Statement: [Hyundai Motor Company, subsidiary, Hyundai Motor India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Motor India
Context triple: [Hyundai Motor Company, subsidiary, Hyundai Motor India]
  • A. Tata Motors
    Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
  • B. Hyundai Motor Company chosen
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • 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. Maruti
    Maruti is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and protection.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8ad6348190b71feaf8c18c90c2 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c73e6048190a59a8d8bc12c907d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.