Triple

T6794815
Position Surface form Disambiguated ID Type / Status
Subject Taedong River E156027 entity
Predicate majorCityOnRiver P316 FINISHED
Object Nampo
Nampo is a major port city in southwestern North Korea, known for its industrial facilities and strategic location on the Yellow Sea.
 E627467 NE FINISHED

How this triple was built (4 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 | Statement: [Taedong River, majorCityOnRiver, Nampo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nampo
Context triple: [Taedong River, majorCityOnRiver, Nampo]
  • A. Sinuiju, Korea
    Sinuiju, Korea is a North Korean city on the Yalu River bordering China, known as an important industrial and transportation hub.
  • B. Hungnam
    Hungnam is a port city on North Korea’s east coast that served as a major industrial center and the site of a large-scale UN evacuation during the Korean War.
  • 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. Pyongyang
    Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
  • E. Nampo-dong
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nampo
Triple: [Taedong River, majorCityOnRiver, Nampo]
Generated description
Nampo is a major port city in southwestern North Korea, known for its industrial facilities and strategic location on the Yellow Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nampo
Target entity description: Nampo is a major port city in southwestern North Korea, known for its industrial facilities and strategic location on the Yellow Sea.
  • A. Sinuiju, Korea
    Sinuiju, Korea is a North Korean city on the Yalu River bordering China, known as an important industrial and transportation hub.
  • B. Hungnam
    Hungnam is a port city on North Korea’s east coast that served as a major industrial center and the site of a large-scale UN evacuation during the Korean War.
  • 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. Pyongyang
    Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
  • E. Nampo-dong
    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.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c59648819081736d27d52d957f completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748ad80b881909efd0c0abddb95a5 completed March 28, 2026, 3:19 a.m.
NEDg Description generation batch_69c749a44a3c8190ad8ad35fac7a4859 completed March 28, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c74a1935b88190a9bed6e73f730459 completed March 28, 2026, 3:25 a.m.
Created at: March 27, 2026, 2:15 p.m.