Triple

T20051494
Position Surface form Disambiguated ID Type / Status
Subject Irwon-dong E499209 entity
Predicate usesCurrency P188 FINISHED
Object South Korean won NE NERFINISHED

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: South Korean won | Statement: [Irwon-dong, usesCurrency, South Korean won]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Korean won
Context triple: [Irwon-dong, usesCurrency, South Korean won]
  • A. South Korean won chosen
    The South Korean won is the official currency of South Korea, known for its significant devaluation and subsequent reforms during the late-1990s Asian financial crisis.
  • B. Korean yen (early period)
    The Korean yen (early period) was the Japanese-era currency that continued in circulation in southern Korea under the United States Army Military Government immediately after World War II, before being replaced by the South Korean won.
  • C. Taiwanese yen
    The Taiwanese yen was the currency used in Taiwan during Japanese rule from 1895 to 1946, before being replaced by the Old Taiwan dollar.
  • D. Yen
    Yen is a nimble and acrobatic member of Danny Ocean’s heist crew in the Ocean’s film series, renowned for his contortionist skills.
  • E. Yen
    Yen is a stage play by Anna Jordan that gained prominence through productions featuring actor Lucas Hedges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.