Triple
T21721034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inwangsan |
E536154
|
entity |
| Predicate | hangulName |
P17869
|
FINISHED |
| Object |
인왕산
인왕산은 서울 종로구에 위치한 바위산으로, 도심 속에서 한양도성과 서울 전경을 조망할 수 있는 대표적인 명산이다.
|
E1502386
|
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: 인왕산 | Statement: [Inwangsan, hangulName, 인왕산]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 인왕산 Context triple: [Inwangsan, hangulName, 인왕산]
-
A.
Geumjeongsan
Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
-
B.
Hwangnyeongsan Mountain
Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
-
C.
Baegaksan
Baegaksan is a prominent mountain in central Seoul, South Korea, known for its historical significance as part of the city's protective fortress wall and its scenic hiking trails overlooking the capital.
-
D.
Eungbong Mountain
Eungbong Mountain is a small but popular urban peak in eastern Seoul, South Korea, known for its scenic views of the Han River and the city skyline.
-
E.
Umyeonsan Mountain
Umyeonsan Mountain is a low, forested peak in southern Seoul, South Korea, known for its hiking trails, city views, and role as a natural green space within the urban area.
- 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: 인왕산 Triple: [Inwangsan, hangulName, 인왕산]
Generated description
인왕산은 서울 종로구에 위치한 바위산으로, 도심 속에서 한양도성과 서울 전경을 조망할 수 있는 대표적인 명산이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 인왕산 Target entity description: 인왕산은 서울 종로구에 위치한 바위산으로, 도심 속에서 한양도성과 서울 전경을 조망할 수 있는 대표적인 명산이다.
-
A.
Geumjeongsan
Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
-
B.
Hwangnyeongsan Mountain
Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
-
C.
Baegaksan
Baegaksan is a prominent mountain in central Seoul, South Korea, known for its historical significance as part of the city's protective fortress wall and its scenic hiking trails overlooking the capital.
-
D.
Eungbong Mountain
Eungbong Mountain is a small but popular urban peak in eastern Seoul, South Korea, known for its scenic views of the Han River and the city skyline.
-
E.
Umyeonsan Mountain
Umyeonsan Mountain is a low, forested peak in southern Seoul, South Korea, known for its hiking trails, city views, and role as a natural green space within the urban area.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96f1fbc8190a202f834aec1a319 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e63bd608190bd7eb342a3ef6ce7 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a401ceb748190a4718ea4bc7ece45 |
completed | May 17, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a40bc29fc8190b082a1f86b2c4907 |
completed | May 17, 2026, 10:27 p.m. |
Created at: April 16, 2026, 6:47 p.m.