Triple
T19800072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongsan Ilchulbong |
E475648
|
entity |
| Predicate | hasKoreanName |
P17869
|
FINISHED |
| Object | 성산일출봉 |
—
|
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: 성산일출봉 | Statement: [Seongsan Ilchulbong, hasKoreanName, 성산일출봉]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 성산일출봉 Context triple: [Seongsan Ilchulbong, hasKoreanName, 성산일출봉]
-
A.
Seongsan Ilchulbong
chosen
Seongsan Ilchulbong is a dramatic tuff cone crater on the eastern coast of Jeju Island in South Korea, famed for its sunrise views and unique volcanic landscape.
-
B.
Geumjeongsan
Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
-
C.
Mount Seorak
Mount Seorak is a prominent and scenic mountain in northeastern South Korea, renowned for its dramatic granite peaks, autumn foliage, and status as part of a national park and UNESCO Biosphere Reserve.
-
D.
Ok-dong
Ok-dong is a neighborhood in Ulsan, South Korea, known for encompassing the large urban green space of Ulsan Grand Park.
-
E.
Gyeryongdae
Gyeryongdae is South Korea’s main military complex that serves as the joint headquarters for the nation’s armed forces.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.