Triple
T16638238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Pyongan Province |
E404263
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Pakchon
Pakchon is a city in North Pyongan Province, North Korea, known as a regional center for agriculture and light industry.
|
E1224515
|
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: Pakchon | Statement: [North Pyongan Province, hasMajorCity, Pakchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakchon Context triple: [North Pyongan Province, hasMajorCity, Pakchon]
-
A.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
B.
Taejongdae
Taejongdae is a famous coastal park in Busan, South Korea, known for its dramatic seaside cliffs, dense pine forests, and panoramic ocean views.
-
C.
Wanggeom-seong
Wanggeom-seong was the principal royal city and political center of the ancient Korean kingdom of Gojoseon, traditionally regarded as Korea’s first capital.
-
D.
Dangun
Dangun is the legendary progenitor of the Korean nation, traditionally revered as the mythical king who established Korea’s first kingdom in ancient times.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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: Pakchon Triple: [North Pyongan Province, hasMajorCity, Pakchon]
Generated description
Pakchon is a city in North Pyongan Province, North Korea, known as a regional center for agriculture and light industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pakchon Target entity description: Pakchon is a city in North Pyongan Province, North Korea, known as a regional center for agriculture and light industry.
-
A.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
B.
Taejongdae
Taejongdae is a famous coastal park in Busan, South Korea, known for its dramatic seaside cliffs, dense pine forests, and panoramic ocean views.
-
C.
Wanggeom-seong
Wanggeom-seong was the principal royal city and political center of the ancient Korean kingdom of Gojoseon, traditionally regarded as Korea’s first capital.
-
D.
Dangun
Dangun is the legendary progenitor of the Korean nation, traditionally revered as the mythical king who established Korea’s first kingdom in ancient times.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378eb07388190a10e896bae7f098e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc28df48190b01c1328df24df60 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e8cff9881908c6b86da38fc2f08 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f53918481908d84ecf50a562266 |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:18 a.m.