Triple
T1688040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeonje District |
E36486
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
연제구
연제구는 대한민국 부산광역시 중앙부에 위치한 행정구로, 주거·상업·행정 기능이 조화를 이루는 도심 지역이다.
|
E314662
|
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: 연제구 | Statement: [Yeonje District, nativeName, 연제구]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 연제구 Context triple: [Yeonje District, nativeName, 연제구]
-
A.
Yeongdeungpo District
Yeongdeungpo District is a major administrative and commercial area in southwestern Seoul, South Korea, known for its government institutions, business centers, and dense urban development.
-
B.
Kangseo-gu
Kangseo-gu is the romanized name of Gangseo District, an administrative district of Seoul, South Korea.
-
C.
Suseong District
Suseong District is an affluent residential and commercial area in southeastern Daegu, South Korea, known for its high-quality schools, parks, and cultural amenities.
-
D.
Bupyeong District
Bupyeong District is a populous urban district of Incheon, South Korea, known as a major residential, commercial, and transportation hub in the metropolitan area.
-
E.
Suyeong District
Suyeong District is an urban coastal district in Busan, South Korea, known for its beaches, residential areas, and cultural attractions.
- 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: 연제구 Triple: [Yeonje District, nativeName, 연제구]
Generated description
연제구는 대한민국 부산광역시 중앙부에 위치한 행정구로, 주거·상업·행정 기능이 조화를 이루는 도심 지역이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 연제구 Target entity description: 연제구는 대한민국 부산광역시 중앙부에 위치한 행정구로, 주거·상업·행정 기능이 조화를 이루는 도심 지역이다.
-
A.
Yeongdeungpo District
Yeongdeungpo District is a major administrative and commercial area in southwestern Seoul, South Korea, known for its government institutions, business centers, and dense urban development.
-
B.
Kangseo-gu
Kangseo-gu is the romanized name of Gangseo District, an administrative district of Seoul, South Korea.
-
C.
Suseong District
Suseong District is an affluent residential and commercial area in southeastern Daegu, South Korea, known for its high-quality schools, parks, and cultural amenities.
-
D.
Bupyeong District
Bupyeong District is a populous urban district of Incheon, South Korea, known as a major residential, commercial, and transportation hub in the metropolitan area.
-
E.
Suyeong District
Suyeong District is an urban coastal district in Busan, South Korea, known for its beaches, residential areas, and cultural attractions.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6294f5ac819089cf5c2530ec71a0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc189de08190b88849333d824c5b |
completed | March 11, 2026, 5:22 a.m. |
| NEDg | Description generation | batch_69b0fd5e0ce081909a3fe89afc57a708 |
completed | March 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1011c30ec8190a61b447733c7d4e7 |
completed | March 11, 2026, 5:43 a.m. |
Created at: March 4, 2026, 7:29 p.m.