Triple
T14506790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonsan |
E340283
|
entity |
| Predicate | hasKoreanName |
P17869
|
FINISHED |
| Object |
논산시
논산시는 대한민국 충청남도 남부에 위치한 농업과 군사 시설(훈련소)로 유명한 시이다.
|
E1102272
|
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: 논산시 | Statement: [Nonsan, hasKoreanName, 논산시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 논산시 Context triple: [Nonsan, hasKoreanName, 논산시]
-
A.
Uiwang
Uiwang is a small inland city in South Korea known for its transportation infrastructure and proximity to Seoul.
-
B.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
C.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
-
D.
Eumseong-eup
Eumseong-eup is the main urban township and administrative center of Eumseong County in North Chungcheong Province, South Korea.
-
E.
Andong
Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
- 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: 논산시 Triple: [Nonsan, hasKoreanName, 논산시]
Generated description
논산시는 대한민국 충청남도 남부에 위치한 농업과 군사 시설(훈련소)로 유명한 시이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 논산시 Target entity description: 논산시는 대한민국 충청남도 남부에 위치한 농업과 군사 시설(훈련소)로 유명한 시이다.
-
A.
Uiwang
Uiwang is a small inland city in South Korea known for its transportation infrastructure and proximity to Seoul.
-
B.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
C.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
-
D.
Eumseong-eup
Eumseong-eup is the main urban township and administrative center of Eumseong County in North Chungcheong Province, South Korea.
-
E.
Andong
Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da07ff481909fb2463b0ea92849 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6eca4ff48190b7c16d92234cb43c |
completed | May 8, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.