Triple
T15858363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeryong |
E384517
|
entity |
| Predicate | usesCurrency |
P188
|
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: [Gyeryong, usesCurrency, South Korean won]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Korean won Context triple: [Gyeryong, 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.
Yen
Yen is the Wade–Giles romanization of the Chinese surname commonly spelled "Yan" in pinyin.
-
D.
Yen
Yen is a stage play by Anna Jordan that gained prominence through productions featuring actor Lucas Hedges.
-
E.
Yen
Yen is a skilled and formidable assassin featured in the television series "The Continental: From the World of John Wick."
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555956ec8190b13602a177e7a2bb |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.