Triple

T20002853
Position Surface form Disambiguated ID Type / Status
Subject Yeongneung (Paju) E494377 entity
Predicate romanizationMcCuneReischauer P23170 FINISHED
Object Yŏngnŭng
Yŏngnŭng is the McCune–Reischauer romanization of Yeongneung, a royal tomb site in Paju, South Korea.
E1410373 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: Yŏngnŭng | Statement: [Yeongneung (Paju), romanizationMcCuneReischauer, Yŏngnŭng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yŏngnŭng
Context triple: [Yeongneung (Paju), romanizationMcCuneReischauer, Yŏngnŭng]
  • A. Phyongwon
    Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
  • B. Sŏngjin
    Sŏngjin is the former name of Kim Chaek City, an industrial port city on North Korea’s east coast.
  • C. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • D. Kŭmchŏng
    Kŭmchŏng is a Korean place name element that appears in geographic designations such as the district name Kŭmchŏng-gu.
  • E. Pak Hyŏkkŏse
    Pak Hyŏkkŏse is the legendary founding monarch of the ancient Korean kingdom of Silla, traditionally said to have established the state in 57 BCE.
  • 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: Yŏngnŭng
Triple: [Yeongneung (Paju), romanizationMcCuneReischauer, Yŏngnŭng]
Generated description
Yŏngnŭng is the McCune–Reischauer romanization of Yeongneung, a royal tomb site in Paju, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yŏngnŭng
Target entity description: Yŏngnŭng is the McCune–Reischauer romanization of Yeongneung, a royal tomb site in Paju, South Korea.
  • A. Phyongwon
    Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
  • B. Sŏngjin
    Sŏngjin is the former name of Kim Chaek City, an industrial port city on North Korea’s east coast.
  • C. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • D. Kŭmchŏng
    Kŭmchŏng is a Korean place name element that appears in geographic designations such as the district name Kŭmchŏng-gu.
  • E. Pak Hyŏkkŏse
    Pak Hyŏkkŏse is the legendary founding monarch of the ancient Korean kingdom of Silla, traditionally said to have established the state in 57 BCE.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a2e34481908a495cc5d077c41f completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f296c208190bca5ec44af8db78c completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fcc025081909292799ee8abd779 completed May 16, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:33 p.m.