Triple

T21974570
Position Surface form Disambiguated ID Type / Status
Subject Kim Il Sung Stadium E542670 entity
Predicate region P40 FINISHED
Object Pyongyang Municipality NE NERFINISHED

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 Municipality | Statement: [Kim Il Sung Stadium, region, Pyongyang Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyongyang Municipality
Context triple: [Kim Il Sung Stadium, region, Pyongyang Municipality]
  • A. 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.
  • B. Pyongchon District
    Pyongchon District is a central urban district of Pyongyang, North Korea, known for its industrial facilities and major national institutions.
  • C. Pyeongyang chosen
    Pyeongyang is the historic city that became the capital of the ancient Korean kingdom of Goguryeo and is now the capital of North Korea.
  • D. Taedonggang District
    Taedonggang District is an administrative district of Pyongyang, North Korea, known for hosting major political monuments and government-related sites.
  • E. Cheongjin-dong
    Cheongjin-dong is a neighborhood (dong) in central Seoul, South Korea, known for its mix of office buildings, cultural sites, and proximity to major government and historic areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12487a1a88190abb8a51fcd533b6a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.