Triple
T320677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korean won |
E6407
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | KRW |
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: KRW | Statement: [South Korean won, ISO4217Code, KRW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRW Context triple: [South Korean won, ISO4217Code, KRW]
-
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.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
-
C.
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.
-
D.
Vietnamese đồng
The Vietnamese đồng is the official fiat currency of Vietnam, known for its relatively low value per unit and frequent use of large denominations.
-
E.
Kazakhstani tenge
The Kazakhstani tenge is the official currency of Kazakhstan, introduced after the country gained independence from the Soviet Union.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb006f348190b2e8901eb2ced9f3 |
completed | March 1, 2026, 5:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.