Triple
T21509911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Pyongan Province |
E530687
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kaechon
Kaechon is an industrial city in central North Korea known for its mining, chemical production, and proximity to major transportation routes.
|
E1502328
|
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: Kaechon | Statement: [South Pyongan Province, hasCity, Kaechon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaechon Context triple: [South Pyongan Province, hasCity, Kaechon]
-
A.
Cheong-seok
Cheong-seok is a young Buddhist monk character in the South Korean supernatural horror film "The 8th Night," who becomes involved in a struggle against an ancient evil.
-
B.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
C.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
-
D.
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.
-
E.
Nakchhong
Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
- 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: Kaechon Triple: [South Pyongan Province, hasCity, Kaechon]
Generated description
Kaechon is an industrial city in central North Korea known for its mining, chemical production, and proximity to major transportation routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaechon Target entity description: Kaechon is an industrial city in central North Korea known for its mining, chemical production, and proximity to major transportation routes.
-
A.
Cheong-seok
Cheong-seok is a young Buddhist monk character in the South Korean supernatural horror film "The 8th Night," who becomes involved in a struggle against an ancient evil.
-
B.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
C.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
-
D.
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.
-
E.
Nakchhong
Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e5b04948190a62f3ed43ce115f0 |
completed | May 17, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0a3f0745b0819084e481b0b3cdf011 |
completed | May 17, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3fbeace48190874b808fd94d9e3c |
completed | May 17, 2026, 10:22 p.m. |
Created at: April 16, 2026, 6:25 p.m.