Triple

T21044497
Position Surface form Disambiguated ID Type / Status
Subject Yi Seong-gye E518413 entity
Predicate birthPlace P1 FINISHED
Object Hamheung
Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
E1497517 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: Hamheung | Statement: [Yi Seong-gye, birthPlace, Hamheung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamheung
Context triple: [Yi Seong-gye, birthPlace, Hamheung]
  • A. Taebong
    Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
  • B. Hadong-gun
    Hadong-gun is a rural county in South Gyeongsang Province, South Korea, known for its scenic Seomjin River landscapes, green tea fields, and traditional cultural heritage.
  • C. Sungneung
    Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
  • D. Mungyeong
    Mungyeong is a city in South Korea known for its historic mountain passes, scenic hiking trails, and traditional cultural heritage.
  • E. Dongmyeong
    Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
  • 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: Hamheung
Triple: [Yi Seong-gye, birthPlace, Hamheung]
Generated description
Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamheung
Target entity description: Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
  • A. Taebong
    Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
  • B. Hadong-gun
    Hadong-gun is a rural county in South Gyeongsang Province, South Korea, known for its scenic Seomjin River landscapes, green tea fields, and traditional cultural heritage.
  • C. Sungneung
    Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
  • D. Mungyeong
    Mungyeong is a city in South Korea known for its historic mountain passes, scenic hiking trails, and traditional cultural heritage.
  • E. Dongmyeong
    Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24970ea881908e0d585753357b24 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a259145c0819082edd73cf9a8574b completed May 17, 2026, 8:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0a25f766048190931de694fdc23931 completed May 17, 2026, 8:32 p.m.
Created at: April 16, 2026, 2:24 p.m.