Triple
T19844995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seonjeongneung |
E476836
|
entity |
| Predicate | hasRevisedRomanization |
P23170
|
FINISHED |
| Object | Seonjeongneung |
—
|
NE NERFINISHED |
How this triple was built (2 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: Seonjeongneung | Statement: [Seonjeongneung, hasRevisedRomanization, Seonjeongneung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seonjeongneung Context triple: [Seonjeongneung, hasRevisedRomanization, Seonjeongneung]
-
A.
Daereungwon Tomb Complex
Daereungwon Tomb Complex is a large archaeological park in Gyeongju, South Korea, known for its numerous grass-covered royal burial mounds from the ancient Silla Kingdom.
-
B.
Daoreung
Daoreung is a historical figure from the early Chakri Dynasty period of Siam (Thailand), known primarily as a consort associated with King Phra Phutthayotfa Chulalok (Rama I).
-
C.
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.
-
D.
선정릉
chosen
선정릉은 서울 강남구에 위치한 조선 왕조의 왕과 왕비의 능이 모여 있는 왕릉 유적지이다.
-
E.
Hongneung
Hongneung is a royal tomb site in South Korea that serves as the burial place of Emperor Gojong of Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:51 p.m.