Triple
T14886523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jongno District |
E350135
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
종로구
종로구 is a central district in Seoul, South Korea, known as the historic and political heart of the city, home to major palaces, government institutions, and cultural landmarks.
|
E1125564
|
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: 종로구 | Statement: [Jongno District, nativeName, 종로구]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 종로구 Context triple: [Jongno District, nativeName, 종로구]
-
A.
Seodaemun-gu
Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
-
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.
중구
중구는 대한민국 대구광역시의 중심 상업·행정 지역으로, 번화한 도심과 역사·문화 시설이 밀집한 구이다.
-
D.
성북구
성북구는 서울특별시 북동부에 위치한 주거·교육·문화 시설이 밀집한 자치구이다.
-
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: 종로구 Triple: [Jongno District, nativeName, 종로구]
Generated description
종로구 is a central district in Seoul, South Korea, known as the historic and political heart of the city, home to major palaces, government institutions, and cultural landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 종로구 Target entity description: 종로구 is a central district in Seoul, South Korea, known as the historic and political heart of the city, home to major palaces, government institutions, and cultural landmarks.
-
A.
Seodaemun-gu
Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
-
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.
중구
중구는 대한민국 대구광역시의 중심 상업·행정 지역으로, 번화한 도심과 역사·문화 시설이 밀집한 구이다.
-
D.
성북구
성북구는 서울특별시 북동부에 위치한 주거·교육·문화 시설이 밀집한 자치구이다.
-
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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5d0a208190b2490c86b15a42db |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6c7cc6a481908b1b7e15cd7640a5 |
completed | May 8, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e0950e481909c63e47bc98267bf |
completed | May 8, 2026, 11:13 p.m. |
Created at: April 10, 2026, 1:56 a.m.