Triple

T6066252
Position Surface form Disambiguated ID Type / Status
Subject Pyongyang Sunan International Airport E135167 entity
Predicate servesAsHubFor P423 FINISHED
Object Air Koryo E310393 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: Air Koryo | Statement: [Pyongyang Sunan International Airport, servesAsHubFor, Air Koryo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Koryo
Context triple: [Pyongyang Sunan International Airport, servesAsHubFor, Air Koryo]
  • A. Air Koryo chosen
    Air Koryo is the state-owned national airline of North Korea, known for its Soviet-era fleet and limited international operations.
  • B. North Korea
    North Korea is an isolated, authoritarian state in East Asia known for its dynastic leadership, nuclear weapons program, and tense relations with much of the international community.
  • C. Corea
    Corea is the surname of the influential American jazz pianist and composer Chick Corea.
  • D. Kore
    Kore is an alternate name for Persephone, the Greek goddess associated with spring’s growth and the queen of the underworld.
  • E. Pyongyang
    Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
  • 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_69c0573df7508190bbb5b496188b2f3e completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d23dca8819080702ca0f05df5dd completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.