Triple
T19844994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seonjeongneung |
E476836
|
entity |
| Predicate | hasKoreanNameHangul |
P17869
|
FINISHED |
| Object |
선정릉
선정릉은 서울 강남구에 위치한 조선 왕조의 왕과 왕비의 능이 모여 있는 왕릉 유적지이다.
|
E1399668
|
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: 선정릉 | Statement: [Seonjeongneung, hasKoreanNameHangul, 선정릉]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 선정릉 Context triple: [Seonjeongneung, hasKoreanNameHangul, 선정릉]
-
A.
Hongneung
Hongneung is a royal tomb site in South Korea that serves as the burial place of Emperor Gojong of Korea.
-
B.
Taejongdae Park
Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
-
C.
Yongdusan Park
Yongdusan Park is a popular hilltop park in Busan, South Korea, known for its scenic city and harbor views, walking paths, and the iconic Busan Tower.
-
D.
Unhyeongung
Unhyeongung is a historic royal residence in central Seoul that once served as the home of Korea’s Joseon Dynasty royalty, including Emperor Gojong before his enthronement.
-
E.
Gwanak Mountain
Gwanak Mountain is a prominent peak in southern Seoul, South Korea, known for its hiking trails, scenic views, and cultural sites such as temples and hermitages.
- 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: 선정릉 Triple: [Seonjeongneung, hasKoreanNameHangul, 선정릉]
Generated description
선정릉은 서울 강남구에 위치한 조선 왕조의 왕과 왕비의 능이 모여 있는 왕릉 유적지이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 선정릉 Target entity description: 선정릉은 서울 강남구에 위치한 조선 왕조의 왕과 왕비의 능이 모여 있는 왕릉 유적지이다.
-
A.
Hongneung
Hongneung is a royal tomb site in South Korea that serves as the burial place of Emperor Gojong of Korea.
-
B.
Taejongdae Park
Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
-
C.
Yongdusan Park
Yongdusan Park is a popular hilltop park in Busan, South Korea, known for its scenic city and harbor views, walking paths, and the iconic Busan Tower.
-
D.
Unhyeongung
Unhyeongung is a historic royal residence in central Seoul that once served as the home of Korea’s Joseon Dynasty royalty, including Emperor Gojong before his enthronement.
-
E.
Gwanak Mountain
Gwanak Mountain is a prominent peak in southern Seoul, South Korea, known for its hiking trails, scenic views, and cultural sites such as temples and hermitages.
- 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_69e658091c608190b4eb9bcedd88e147 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbbab7788190ba3cfb088ede2055 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc7421b48190a81724e702727d05 |
completed | May 16, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dcf2d88c8190bbf9aa42f9fe8c6d |
completed | May 16, 2026, 2:56 a.m. |
Created at: April 10, 2026, 1:51 p.m.