Triple

T12548851
Position Surface form Disambiguated ID Type / Status
Subject Southern Korea E300041 entity
Predicate currencyUsed P188 FINISHED
Object Korean won E6407 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: Korean won | Statement: [Southern Korea, currencyUsed, Korean won]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korean won
Context triple: [Southern Korea, currencyUsed, 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. 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.
  • D. Yen
    Yen is a stage play by Anna Jordan that gained prominence through productions featuring actor Lucas Hedges.
  • E. Yen
    Yen is the Wade–Giles romanization of the Chinese surname commonly spelled "Yan" in pinyin.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95481ba28819099f7cd2de02e8837 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655826bbc8190af20858342c008ff completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.