Triple

T6066437
Position Surface form Disambiguated ID Type / Status
Subject Korean Central News Agency E135171 entity
Predicate headquartersLocation P62 FINISHED
Object Pyongyang E24920 NE FINISHED

How this triple was built (2 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: Pyongyang | Statement: [Korean Central News Agency, headquartersLocation, Pyongyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyongyang
Context triple: [Korean Central News Agency, headquartersLocation, Pyongyang]
  • A. Pyongyang chosen
    Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
  • B. Sinuiju, Korea
    Sinuiju, Korea is a North Korean city on the Yalu River bordering China, known as an important industrial and transportation hub.
  • C. 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.
  • 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. Kaesong
    Kaesong is a historic city in present-day North Korea that served as the capital of the medieval Korean kingdom of Goryeo and remains known for its cultural heritage and traditional architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0573f17088190a728f1c290cc9d1d completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:10 p.m.