Triple

T16692273
Position Surface form Disambiguated ID Type / Status
Subject Ulsan plant E405622 entity
Predicate sellsToMarket P5252 FINISHED
Object domestic South Korean market LITERAL 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: domestic South Korean market | Statement: [Ulsan plant, sellsToMarket, domestic South Korean market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sellsToMarket
Context triple: [Ulsan plant, sellsToMarket, domestic South Korean market]
  • A. marketedWith
    Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
  • B. marketedFor
    Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
  • C. exportMarket chosen
    Indicates that an entity serves as a destination market to which another entity exports goods or services.
  • D. marketsAs
    Indicates that one entity promotes, advertises, or sells another entity as a product, service, or offering in the marketplace.
  • E. marketsThrough
    Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
  • F. None of above.

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.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.