Triple

T20553154
Position Surface form Disambiguated ID Type / Status
Subject King Jangsu E504647 entity
Predicate capitalMovedTo P1660 FINISHED
Object Pyeongyang
Pyeongyang is the historic city that became the capital of the ancient Korean kingdom of Goguryeo and is now the capital of North Korea.
E1437117 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: Pyeongyang | Statement: [King Jangsu, capitalMovedTo, Pyeongyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyeongyang
Context triple: [King Jangsu, capitalMovedTo, Pyeongyang]
  • A. Wonsan
    Wonsan is a port city on North Korea’s east coast, known for its strategic military importance and role as a regional transportation and industrial hub.
  • B. 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).
  • C. Chipyong-ni
    Chipyong-ni is a village in South Korea historically significant as the site of a pivotal United Nations defensive victory during the Korean War.
  • D. Kim Chaek City
    Kim Chaek City is an industrial port city in North Hamgyong Province, North Korea, named in honor of the Korean War general and politician Kim Chaek.
  • E. Sinuiju, Korea
    Sinuiju, Korea is a North Korean city on the Yalu River bordering China, known as an important industrial and transportation hub.
  • 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: Pyeongyang
Triple: [King Jangsu, capitalMovedTo, Pyeongyang]
Generated description
Pyeongyang is the historic city that became the capital of the ancient Korean kingdom of Goguryeo and is now the capital of North Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pyeongyang
Target entity description: Pyeongyang is the historic city that became the capital of the ancient Korean kingdom of Goguryeo and is now the capital of North Korea.
  • A. Wonsan
    Wonsan is a port city on North Korea’s east coast, known for its strategic military importance and role as a regional transportation and industrial hub.
  • B. 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).
  • C. Chipyong-ni
    Chipyong-ni is a village in South Korea historically significant as the site of a pivotal United Nations defensive victory during the Korean War.
  • D. Kim Chaek City
    Kim Chaek City is an industrial port city in North Hamgyong Province, North Korea, named in honor of the Korean War general and politician Kim Chaek.
  • E. Sinuiju, Korea
    Sinuiju, Korea is a North Korean city on the Yalu River bordering China, known as an important industrial and transportation hub.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5db052c8190801e53f6148113c8 completed April 20, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a573e43c8190918ce8cfbafff788 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a72cda488190b18b50724666ae55 completed May 16, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08a79a373481909c37da1cc810e2d9 completed May 16, 2026, 5:21 p.m.
Created at: April 16, 2026, 11:38 a.m.