Triple
T19116121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakseonjae Complex |
E467910
|
entity |
| Predicate | nameWrittenInHangul |
P77948
|
FINISHED |
| Object | 낙선재 일원 |
—
|
NE NERFINISHED |
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: 낙선재 일원 | Statement: [Nakseonjae Complex, nameWrittenInHangul, 낙선재 일원]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 낙선재 일원 Context triple: [Nakseonjae Complex, nameWrittenInHangul, 낙선재 일원]
-
A.
Nonsan-si
Nonsan-si is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
-
B.
Naewon-sa
Naewon-sa is a historic Buddhist temple in Yangsan, South Korea, known for its tranquil mountain setting and traditional Korean temple architecture.
-
C.
Gwanaksan
Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
-
D.
Seoraksan
Seoraksan is a prominent and scenic mountain in northeastern South Korea, renowned for its dramatic granite peaks, vibrant autumn foliage, and status as part of a national park and UNESCO Biosphere Reserve.
-
E.
Wiryeseong
Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 낙선재 일원 Target entity description: 낙선재 일원은 조선 후기 왕실 생활공간의 하나로, 서울 창덕궁 안에 위치한 전통 한옥 건축군과 정원 일대를 가리키는 명칭이다.
-
A.
Nonsan-si
Nonsan-si is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
-
B.
Naewon-sa
Naewon-sa is a historic Buddhist temple in Yangsan, South Korea, known for its tranquil mountain setting and traditional Korean temple architecture.
-
C.
Gwanaksan
Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
-
D.
Seoraksan
Seoraksan is a prominent and scenic mountain in northeastern South Korea, renowned for its dramatic granite peaks, vibrant autumn foliage, and status as part of a national park and UNESCO Biosphere Reserve.
-
E.
Wiryeseong
Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameWrittenInHangul Context triple: [Nakseonjae Complex, nameWrittenInHangul, 낙선재 일원]
-
A.
nameWrittenIn
chosen
Indicates that an entity’s name is written or recorded using a specified language, script, or writing system.
-
B.
nameInKorean
Indicates that an entity’s name is expressed in the Korean language.
-
C.
hangulNameRomanized
Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
-
D.
hanjaName
Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
-
E.
nameInMcCuneReischauer
Indicates that an entity’s name is represented using the McCune–Reischauer romanization system.
- F. None of above.
Provenance (3 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3984bf48190818fa2b01b75decb |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.