Triple

T21509970
Position Surface form Disambiguated ID Type / Status
Subject Hoechang-gun E530689 entity
Predicate shortName P43 FINISHED
Object Hoechang
Hoechang is a county in South Pyongan Province, North Korea, known for its rural landscape and administrative role in the region.
E1499219 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: Hoechang | Statement: [Hoechang-gun, shortName, Hoechang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoechang
Context triple: [Hoechang-gun, shortName, Hoechang]
  • A. Cheonsu
    Cheonsu was the era name proclaimed by Taejo, the founding king of the Goryeo dynasty in Korea, to mark his reign and legitimize his new rule.
  • B. Cheongtae
    Cheongtae was an era name used during the reign of Taejo, the founding king of Korea’s Goryeo dynasty.
  • C. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • D. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • E. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • 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: Hoechang
Triple: [Hoechang-gun, shortName, Hoechang]
Generated description
Hoechang is a county in South Pyongan Province, North Korea, known for its rural landscape and administrative role in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoechang
Target entity description: Hoechang is a county in South Pyongan Province, North Korea, known for its rural landscape and administrative role in the region.
  • A. Cheonsu
    Cheonsu was the era name proclaimed by Taejo, the founding king of the Goryeo dynasty in Korea, to mark his reign and legitimize his new rule.
  • B. Cheongtae
    Cheongtae was an era name used during the reign of Taejo, the founding king of Korea’s Goryeo dynasty.
  • C. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • D. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • E. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2eba1cc48190bb642c096f67fcc0 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a300b6374819098d84a8b4347762c completed May 17, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0a308ca2648190a365ea141a5335bb completed May 17, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.