Triple

T16638237
Position Surface form Disambiguated ID Type / Status
Subject North Pyongan Province E404263 entity
Predicate hasMajorCity P316 FINISHED
Object Phyongwon
Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
 E1227160 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: Phyongwon | Statement: [North Pyongan Province, hasMajorCity, Phyongwon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phyongwon
Context triple: [North Pyongan Province, hasMajorCity, Phyongwon]
  • A. 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.
  • B. Nampo-dong
    Nampo-dong is a bustling commercial and shopping district in central Busan, South Korea, known for its markets, street food, and proximity to the city’s harbor.
  • C. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • D. Mangyongdae
    Mangyongdae is a historic district in Pyongyang, North Korea, known as the birthplace and commemorative site of the country's founding leader, Kim Il Sung.
  • E. Sokcho
    Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
  • 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: Phyongwon
Triple: [North Pyongan Province, hasMajorCity, Phyongwon]
Generated description
Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phyongwon
Target entity description: Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
  • A. 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.
  • B. Nampo-dong
    Nampo-dong is a bustling commercial and shopping district in central Busan, South Korea, known for its markets, street food, and proximity to the city’s harbor.
  • C. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • D. Mangyongdae
    Mangyongdae is a historic district in Pyongyang, North Korea, known as the birthplace and commemorative site of the country's founding leader, Kim Il Sung.
  • E. Sokcho
    Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
  • 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_6a008a2ce64c8190970c86b729a6ff83 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008ba8227881908b1ac6e30d2e7c32 completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:18 a.m.