Triple

T4817771
Position Surface form Disambiguated ID Type / Status
Subject Mercury Prize E107630 entity
Predicate sponsor P67 FINISHED
Object Hyundai 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 | Statement: [Mercury Prize, sponsor, Hyundai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai
Context triple: [Mercury Prize, sponsor, Hyundai]
  • A. Kia
    Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
  • B. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • 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 Company chosen
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • E. 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.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db8cb208190bda1d6df46391dfa completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.