Triple
T4734519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeju Island |
E105090
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Seogwipo Port |
E471111
|
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: Seogwipo Port | Statement: [Jeju Island, hasPort, Seogwipo Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seogwipo Port Context triple: [Jeju Island, hasPort, Seogwipo Port]
-
A.
Jeju Port
Jeju Port is a major maritime gateway on South Korea’s Jeju Island, serving as a key hub for passenger ferries, cargo shipping, and regional tourism.
-
B.
Seogwipo
chosen
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
C.
Busan International Ferry Terminal
Busan International Ferry Terminal is a major passenger and vehicle port in Busan, South Korea, providing international ferry connections to destinations such as Japan.
-
D.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
E.
Dangjin
Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6467a1fc819089485b4d76e0edc4 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c8a20a88190a668251abbc1c7c8 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:19 p.m.