Triple

T16638239
Position Surface form Disambiguated ID Type / Status
Subject North Pyongan Province E404263 entity
Predicate hasMajorCity P316 FINISHED
Object Chongju
Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
E1225279 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: Chongju | Statement: [North Pyongan Province, hasMajorCity, Chongju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chongju
Context triple: [North Pyongan Province, hasMajorCity, Chongju]
  • A. Gimcheon
    Gimcheon is a city in North Gyeongsang Province, South Korea, known as a regional transportation hub and administrative center.
  • B. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • C. Chuncheon
    Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
  • D. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • E. Pohang
    Pohang is a major industrial and port city in South Korea, best known as the home of the global steelmaker POSCO and a key hub on the country’s east coast.
  • 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: Chongju
Triple: [North Pyongan Province, hasMajorCity, Chongju]
Generated description
Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chongju
Target entity description: Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
  • A. Gimcheon
    Gimcheon is a city in North Gyeongsang Province, South Korea, known as a regional transportation hub and administrative center.
  • B. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • C. Chuncheon
    Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
  • D. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • E. Pohang
    Pohang is a major industrial and port city in South Korea, best known as the home of the global steelmaker POSCO and a key hub on the country’s east coast.
  • 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_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_6a0084b984d081909f76ef874431ff40 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008568d2e88190a3757c7d48fa464b completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0085d27d188190a13ba94c6a642dde completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.