Triple
T17707799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumgangsan |
E441476
|
entity |
| Predicate | hasNotableWaterfall |
P13549
|
FINISHED |
| Object | Kuryong Falls |
—
|
NE NERFINISHED |
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: Kuryong Falls | Statement: [Kumgangsan, hasNotableWaterfall, Kuryong Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuryong Falls Context triple: [Kumgangsan, hasNotableWaterfall, Kuryong Falls]
-
A.
Jeongbang Waterfall
Jeongbang Waterfall is a famous coastal cascade on South Korea’s Jeju Island, renowned for its dramatic drop directly into the sea and scenic volcanic cliff surroundings.
-
B.
Cheonjiyeon Waterfall
Cheonjiyeon Waterfall is a famous scenic cascade on South Korea’s Jeju Island, known for its lush surroundings, clear plunge pool, and nighttime illumination.
-
C.
태화강
태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
-
D.
Nuorilang Waterfall
Nuorilang Waterfall is a famous multi-tiered cascade in China’s Jiuzhaigou Valley, known for its broad curtain of water set against colorful lakes and forested mountain scenery.
-
E.
Kuryong Valley
chosen
Kuryong Valley is a scenic, waterfall-filled gorge in North Korea’s Mount Kumgang region, renowned for its dramatic cliffs and natural beauty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e472990b5c81908e0414d3230f283e |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.