Triple

T16638299
Position Surface form Disambiguated ID Type / Status
Subject Vice Premier of North Korea E404264 entity
Predicate seat P75 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: [Vice Premier of North Korea, seat, Pyongyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyongyang
Context triple: [Vice Premier of North Korea, seat, 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. Nampo
    Nampo is a major port city in southwestern North Korea, known for its industrial facilities and strategic location on the Yellow Sea.
  • 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_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.
Created at: April 10, 2026, 5:18 a.m.