Triple

T6180788
Position Surface form Disambiguated ID Type / Status
Subject Ryugyong Hotel E137936 entity
Predicate locatedIn P40 FINISHED
Object Moranbong District E570245 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: Moranbong District | Statement: [Ryugyong Hotel, locatedIn, Moranbong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moranbong District
Context triple: [Ryugyong Hotel, locatedIn, Moranbong District]
  • A. Jung District
    Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
  • B. Jung District
    Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
  • C. Ongjin County
    Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
  • D. Taedonggang District chosen
    Taedonggang District is an administrative district of Pyongyang, North Korea, known for hosting major political monuments and government-related sites.
  • E. Gyeyang District
    Gyeyang District is a northern residential and industrial district of Incheon, South Korea, known for its mix of urban neighborhoods, historical sites, and access to natural areas like Gyeyang Mountain.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fdf7ac8190a0e887907ec9a922 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d7fbbcc8190902e8f104d9991de completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:18 p.m.