Triple

T8038605
Position Surface form Disambiguated ID Type / Status
Subject Huinnyeoul Culture Village E187376 entity
Predicate hasNearbyCityArea P80694 FINISHED
Object Nampo-dong E605668 NE FINISHED

How this triple was built (3 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: Nampo-dong | Statement: [Huinnyeoul Culture Village, hasNearbyCityArea, Nampo-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampo-dong
Context triple: [Huinnyeoul Culture Village, hasNearbyCityArea, Nampo-dong]
  • A. Nampo-dong chosen
    Nampo-dong is a bustling commercial and shopping district in central Busan, South Korea, known for its markets, street food, and proximity to the city’s harbor.
  • B. Nopo-dong
    Nopo-dong is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
  • C. Mansudae district
    Mansudae district is a central area of Pyongyang, North Korea, known for its major political monuments, cultural institutions, and prominent artistic facilities.
  • D. Taedonggang District
    Taedonggang District is an administrative district of Pyongyang, North Korea, known for hosting major political monuments and government-related sites.
  • E. Pyongchon District
    Pyongchon District is a central urban district of Pyongyang, North Korea, known for its industrial facilities and major national institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyCityArea
Context triple: [Huinnyeoul Culture Village, hasNearbyCityArea, Nampo-dong]
  • A. hasNearbyUSCity
    Indicates that one location has at least one city in the United States situated within a specified nearby distance.
  • B. nearByCityState
    Indicates that a city is geographically close to or within the same general area as a specified state.
  • C. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • D. hasNearbyEconomicRegion
    Indicates that one economic region is geographically close to or adjacent to another economic region.
  • E. hasNearbyTownType
    Indicates that one entity has, in its vicinity, a town of a specified type or classification.
  • F. None of above. chosen

Provenance (5 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f19a6b4819085e2887fb0c54d08 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc570090a48190b84ba8325563148e completed March 31, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69cb049688208190b32088bd2c5930bc completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14bcbbc0819094a98e7ffffb7a40 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:23 p.m.