Triple

T22471396
Position Surface form Disambiguated ID Type / Status
Subject Hwanghae Province E555509 entity
Predicate nameDerivedFrom P63 FINISHED
Object Hwangju
Hwangju is a historic county in present-day North Korea that once served as an important administrative and cultural center in the Hwanghae region.
 E1555832 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: Hwangju | Statement: [Hwanghae Province, nameDerivedFrom, Hwangju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hwangju
Context triple: [Hwanghae Province, nameDerivedFrom, Hwangju]
  • A. Dongmyeong
    Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
  • B. Kaechon
    Kaechon is an industrial city in central North Korea known for its mining, chemical production, and proximity to major transportation routes.
  • C. Sŏngjin
    Sŏngjin is the former name of Kim Chaek City, an industrial port city on North Korea’s east coast.
  • D. Tancheon
    Tancheon is a river in South Korea that flows through the city of Seongnam and serves as a key urban waterway and recreational area.
  • E. Hongseong
    Hongseong is a town in South Korea that serves as the administrative capital of South Chungcheong Province.
  • 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: Hwangju
Triple: [Hwanghae Province, nameDerivedFrom, Hwangju]
Generated description
Hwangju is a historic county in present-day North Korea that once served as an important administrative and cultural center in the Hwanghae region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hwangju
Target entity description: Hwangju is a historic county in present-day North Korea that once served as an important administrative and cultural center in the Hwanghae region.
  • A. Dongmyeong
    Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
  • B. Kaechon
    Kaechon is an industrial city in central North Korea known for its mining, chemical production, and proximity to major transportation routes.
  • C. Sŏngjin
    Sŏngjin is the former name of Kim Chaek City, an industrial port city on North Korea’s east coast.
  • D. Tancheon
    Tancheon is a river in South Korea that flows through the city of Seongnam and serves as a key urban waterway and recreational area.
  • E. Hongseong
    Hongseong is a town in South Korea that serves as the administrative capital of South Chungcheong Province.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be0d3c08190851537660cda619c completed April 29, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e7a4dd08190a45bad821b015ca4 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba266f57481909fe3a7dd5de3802c completed May 18, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2c84c088190828abae498d02018 completed May 18, 2026, 11:37 p.m.
Created at: April 16, 2026, 8:48 p.m.