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.