Triple
T9928476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong-gu, Busan |
E192582
|
entity |
| Predicate | hasHanjaName |
P27905
|
FINISHED |
| Object |
東區
東區 is a central district of Busan, South Korea, known for its coastal location, port facilities, and mix of residential and commercial areas.
|
E829191
|
NE FINISHED |
How this triple was built (5 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: 東區 | Statement: [Dong-gu, Busan, hasHanjaName, 東區]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 東區 Context triple: [Dong-gu, Busan, hasHanjaName, 東區]
-
A.
东区
东区是韩国蔚山广域市的一个行政区,以工业设施与港口经济为主。
-
B.
北区
北区是韩国蔚山市的一个行政区,以其工业设施与城市居住功能并存而闻名。
-
C.
北区
北区 is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and major railway hubs.
-
D.
Xindian District
Xindian District is a suburban district in southern New Taipei City, Taiwan, known for its riverside scenery, residential communities, and role as a gateway to the Wulai and mountainous areas.
-
E.
Tamsui District
Tamsui District is a historic coastal district in New Taipei City, Taiwan, known for its riverside scenery, sunset views, and preserved old streets.
- 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: 東區 Triple: [Dong-gu, Busan, hasHanjaName, 東區]
Generated description
東區 is a central district of Busan, South Korea, known for its coastal location, port facilities, and mix of residential and commercial areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 東區 Target entity description: 東區 is a central district of Busan, South Korea, known for its coastal location, port facilities, and mix of residential and commercial areas.
-
A.
东区
东区是韩国蔚山广域市的一个行政区,以工业设施与港口经济为主。
-
B.
北区
北区是韩国蔚山市的一个行政区,以其工业设施与城市居住功能并存而闻名。
-
C.
北区
北区 is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and major railway hubs.
-
D.
Xindian District
Xindian District is a suburban district in southern New Taipei City, Taiwan, known for its riverside scenery, residential communities, and role as a gateway to the Wulai and mountainous areas.
-
E.
Tamsui District
Tamsui District is a historic coastal district in New Taipei City, Taiwan, known for its riverside scenery, sunset views, and preserved old streets.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHanjaName Context triple: [Dong-gu, Busan, hasHanjaName, 東區]
-
A.
hanjaName
chosen
Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
-
B.
hasHakkaRomanization
Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
-
C.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
D.
hasJavaneseName
Indicates that an entity possesses a name expressed in the Javanese language.
-
E.
hasTraditionalCharacter
Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
- F. None of above.
Provenance (6 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb59d7ad08190982a1584547190bd |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69d20ed2dea481909fd9a9dddac3daf1 |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fef723881909d8d57548461926f |
completed | April 5, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.