Triple
T7778930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BOK |
E221465
|
entity |
| Predicate | currencyCode |
P208
|
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: [BOK, currencyCode, KRW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRW Context triple: [BOK, currencyCode, 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.
.kr
.kr is the country code top-level domain (ccTLD) designated for websites associated with South Korea.
-
C.
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.
-
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.
Korea Exchange
Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d59bf881909a8b2d57748784b1 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5af0a6c819091f43ac7eda2065e |
completed | March 30, 2026, 10:14 p.m. |
Created at: March 30, 2026, 4:18 p.m.