Triple
T6686721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung District, Daegu |
E152115
|
entity |
| Predicate | hasKoreanName |
P17869
|
FINISHED |
| Object |
중구
중구는 대한민국 대구광역시의 중심 상업·행정 지역으로, 번화한 도심과 역사·문화 시설이 밀집한 구이다.
|
E611988
|
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: 중구 | Statement: [Jung District, Daegu, hasKoreanName, 중구]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 중구 Context triple: [Jung District, Daegu, hasKoreanName, 중구]
-
A.
북구
북구 is a Korean administrative district name commonly used for "Buk-gu" (North District) in various cities across South Korea.
-
B.
Dongdaemun-gu
Dongdaemun-gu is a central district in Seoul, South Korea, known for its major commercial areas, historic sites, and the iconic Dongdaemun Design Plaza.
-
C.
Seodaemun-gu
Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
-
D.
Seongdong District
Seongdong District is an urban ward in eastern central Seoul, South Korea, known for its mix of residential neighborhoods, commercial areas, and redevelopment zones along the Han River.
-
E.
Seocho District
Seocho District is a major affluent ward in southern Seoul, South Korea, known for its legal institutions, upscale residential areas, and proximity to the Gangnam business district.
- 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: 중구 Triple: [Jung District, Daegu, hasKoreanName, 중구]
Generated description
중구는 대한민국 대구광역시의 중심 상업·행정 지역으로, 번화한 도심과 역사·문화 시설이 밀집한 구이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 중구 Target entity description: 중구는 대한민국 대구광역시의 중심 상업·행정 지역으로, 번화한 도심과 역사·문화 시설이 밀집한 구이다.
-
A.
북구
북구 is a Korean administrative district name commonly used for "Buk-gu" (North District) in various cities across South Korea.
-
B.
Dongdaemun-gu
Dongdaemun-gu is a central district in Seoul, South Korea, known for its major commercial areas, historic sites, and the iconic Dongdaemun Design Plaza.
-
C.
Seodaemun-gu
Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
-
D.
Seongdong District
Seongdong District is an urban ward in eastern central Seoul, South Korea, known for its mix of residential neighborhoods, commercial areas, and redevelopment zones along the Han River.
-
E.
Seocho District
Seocho District is a major affluent ward in southern Seoul, South Korea, known for its legal institutions, upscale residential areas, and proximity to the Gangnam business district.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14cd6748190aad4badd5f253478 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b0c0148190a232ed10950ec92b |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f84621988190a3502dff9ee6296d |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8f694f48190a6bb380b0ca583bf |
completed | March 27, 2026, 9:39 p.m. |
Created at: March 27, 2026, 2:04 p.m.