Triple
T17091532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Hamgyong Province |
E414737
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kyongsong
Kyongsong is a coastal town and county-level city in northeastern North Korea known for its hot springs and location along the Sea of Japan (East Sea).
|
E1253147
|
NE FINISHED |
How this triple was built (4 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: Kyongsong | Statement: [North Hamgyong Province, hasMajorCity, Kyongsong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyongsong Context triple: [North Hamgyong Province, hasMajorCity, Kyongsong]
-
A.
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.
-
B.
Tancheon
Tancheon is a river in South Korea that flows through the city of Seongnam and serves as a key urban waterway and recreational area.
-
C.
Hanseong
Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in Korea.
-
D.
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.
-
E.
Chongju
Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kyongsong Triple: [North Hamgyong Province, hasMajorCity, Kyongsong]
Generated description
Kyongsong is a coastal town and county-level city in northeastern North Korea known for its hot springs and location along the Sea of Japan (East Sea).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyongsong Target entity description: Kyongsong is a coastal town and county-level city in northeastern North Korea known for its hot springs and location along the Sea of Japan (East Sea).
-
A.
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.
-
B.
Tancheon
Tancheon is a river in South Korea that flows through the city of Seongnam and serves as a key urban waterway and recreational area.
-
C.
Hanseong
Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in Korea.
-
D.
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.
-
E.
Chongju
Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
- F. None of above. chosen
Provenance (5 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfa09b08190be4303dd0d174feb |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0141422d6c819086dc98988c0851d9 |
completed | May 11, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_6a01437dd094819093603356fa2c2582 |
completed | May 11, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014416c6a08190aeca937990d2b5a2 |
completed | May 11, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:35 a.m.