Triple
T17707847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonsan-Kalma coastal area |
E441477
|
entity |
| Predicate | transportConnection |
P1298
|
FINISHED |
| Object | Wonsan port |
—
|
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: Wonsan port | Statement: [Wonsan-Kalma coastal area, transportConnection, Wonsan port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wonsan port Context triple: [Wonsan-Kalma coastal area, transportConnection, Wonsan port]
-
A.
Wonsan Port
chosen
Wonsan Port is a major North Korean seaport on the east coast, serving as a key hub for maritime trade and naval operations in the city of Wonsan.
-
B.
Sinuiju port
Sinuiju port is a major North Korean river and trade port on the Yalu River, serving as a key hub for commerce and transport with neighboring China.
-
C.
Nampo Port
Nampo Port is a major North Korean seaport and industrial hub on the country’s west coast, serving as a key maritime gateway for trade and shipping.
-
D.
Dangjin Port
Dangjin Port is a major industrial and cargo seaport on South Korea’s west coast, serving as a key hub for steel, coal, and other bulk materials.
-
E.
Chongjin port
Chongjin port is a major industrial seaport in northeastern North Korea that serves as a key hub for maritime trade and heavy industry in the region.
- 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.