Triple
T17707802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumgangsan |
E441476
|
entity |
| Predicate | hasNotableCliff |
P12975
|
FINISHED |
| Object | Myongyangdae |
—
|
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: Myongyangdae | Statement: [Kumgangsan, hasNotableCliff, Myongyangdae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myongyangdae Context triple: [Kumgangsan, hasNotableCliff, Myongyangdae]
-
A.
Mangyongdae
chosen
Mangyongdae is a historic district in Pyongyang, North Korea, known as the birthplace and commemorative site of the country's founding leader, Kim Il Sung.
-
B.
Phyongwon
Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
-
C.
Nyongbyon
Nyongbyon is a North Korean city best known internationally as the site of the country’s main nuclear research and reactor complex.
-
D.
Nampo-dong
Nampo-dong is a bustling commercial and shopping district in central Busan, South Korea, known for its markets, street food, and proximity to the city’s harbor.
-
E.
Kaesong
Kaesong is a historic city in present-day North Korea that served as the capital of the medieval Korean kingdom of Goryeo and remains known for its cultural heritage and traditional architecture.
- 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.