Triple
T19844920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeongneung and Nyeongneung |
E476834
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Nyeongneung
Nyeongneung is a royal tomb in South Korea that forms part of the UNESCO-listed cluster of Joseon Dynasty royal burial sites.
|
E1414233
|
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: Nyeongneung | Statement: [Yeongneung and Nyeongneung, hasPart, Nyeongneung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyeongneung Context triple: [Yeongneung and Nyeongneung, hasPart, Nyeongneung]
-
A.
Yeongneung
Yeongneung is a royal tomb complex in Yeoju, South Korea, that houses the burial site of King Sejong the Great and is part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
B.
Sungneung
Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
-
C.
Hongneung
Hongneung is a royal tomb site in South Korea that serves as the burial place of Emperor Gojong of Korea.
-
D.
Sanggyeong
Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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: Nyeongneung Triple: [Yeongneung and Nyeongneung, hasPart, Nyeongneung]
Generated description
Nyeongneung is a royal tomb in South Korea that forms part of the UNESCO-listed cluster of Joseon Dynasty royal burial sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyeongneung Target entity description: Nyeongneung is a royal tomb in South Korea that forms part of the UNESCO-listed cluster of Joseon Dynasty royal burial sites.
-
A.
Yeongneung
Yeongneung is a royal tomb complex in Yeoju, South Korea, that houses the burial site of King Sejong the Great and is part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
B.
Sungneung
Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
-
C.
Hongneung
Hongneung is a royal tomb site in South Korea that serves as the burial place of Emperor Gojong of Korea.
-
D.
Sanggyeong
Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658085a148190a305bde0897dfe84 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08345781b48190ace08e9474507514 |
completed | May 16, 2026, 9:09 a.m. |
| NEDg | Description generation | batch_6a0835241ba08190923317262ac984d4 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08360def9c8190b8a2d48814ee13c8 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 10, 2026, 1:51 p.m.