Triple
T21623136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naksan |
E533626
|
entity |
| Predicate | hangulName |
P17869
|
FINISHED |
| Object |
낙산
낙산은 대한민국 강원도 양양군에 위치한 해안 산으로, 아름다운 일출과 낙산사로 유명한 관광 명소이다.
|
E1492898
|
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: 낙산 | Statement: [Naksan, hangulName, 낙산]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 낙산 Context triple: [Naksan, hangulName, 낙산]
-
A.
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.
-
B.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
-
C.
Yeongneung
Yeongneung is a royal tomb complex in Yeoju, South Korea, that houses the burial site of King Sejong the Great and is part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
D.
Yeongneung
Yeongneung is a royal tomb site in Paju, South Korea, known as the burial place of King Jinjong and Queen Hyosun of the Joseon Dynasty.
-
E.
Odaesan
Odaesan is a prominent mountain in South Korea known for its scenic national park, rich biodiversity, and important Buddhist temples such as Woljeongsa.
- 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: 낙산 Triple: [Naksan, hangulName, 낙산]
Generated description
낙산은 대한민국 강원도 양양군에 위치한 해안 산으로, 아름다운 일출과 낙산사로 유명한 관광 명소이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 낙산 Target entity description: 낙산은 대한민국 강원도 양양군에 위치한 해안 산으로, 아름다운 일출과 낙산사로 유명한 관광 명소이다.
-
A.
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.
-
B.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
-
C.
Yeongneung
Yeongneung is a royal tomb complex in Yeoju, South Korea, that houses the burial site of King Sejong the Great and is part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
D.
Yeongneung
Yeongneung is a royal tomb site in Paju, South Korea, known as the burial place of King Jinjong and Queen Hyosun of the Joseon Dynasty.
-
E.
Odaesan
Odaesan is a prominent mountain in South Korea known for its scenic national park, rich biodiversity, and important Buddhist temples such as Woljeongsa.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bb0c42c8190997fbeb7a764d60e |
completed | April 27, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd4649ac8190bae1adba3110846b |
completed | May 17, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a09fe88fd24819097d222291bc63608 |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ff257c548190a7304bfee02dcbaf |
completed | May 17, 2026, 5:47 p.m. |
Created at: April 16, 2026, 6:34 p.m.