Triple

T196575
Position Surface form Disambiguated ID Type / Status
Subject South Korea E3830 entity
Predicate currency P245 FINISHED
Object South 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: South Korean won | Statement: [South Korea, currency, South Korean won]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Korean won
Context triple: [South Korea, currency, 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. Japanese yen
    The Japanese yen is Japan's official fiat currency and one of the world's most traded reserve currencies in global foreign exchange markets.
  • C. Singapore dollar
    The Singapore dollar is the official currency of Singapore, known for its stability, strong management by the Monetary Authority of Singapore, and significant role as a major trading and reserve currency in Asia.
  • D. Kazakhstani tenge
    The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
  • E. Indonesian rupiah
    The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2598594388190a56f36fa036eac84 completed Feb. 28, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3161cdc4c8190bc67683a1a5d39d9 completed Feb. 28, 2026, 4:21 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.