Triple
T9928491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong-gu, Busan |
E192582
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jwacheon-dong
Jwacheon-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
|
E872859
|
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: Jwacheon-dong | Statement: [Dong-gu, Busan, contains, Jwacheon-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jwacheon-dong Context triple: [Dong-gu, Busan, contains, Jwacheon-dong]
-
A.
Jangjeon-dong
Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
-
B.
Gwancheol-dong
Gwancheol-dong is a neighborhood in central Seoul, South Korea, known for its location within the historic Jongno district.
-
C.
Gyeonji-dong
Gyeonji-dong is a neighborhood in central Seoul, South Korea, known for its location within the historic Jongno District.
-
D.
Sogyeok-dong
Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
-
E.
Jangnim-dong
Jangnim-dong is a neighborhood in Busan, South Korea, known as a residential and industrial area within the city's southern coastal region.
- 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: Jwacheon-dong Triple: [Dong-gu, Busan, contains, Jwacheon-dong]
Generated description
Jwacheon-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jwacheon-dong Target entity description: Jwacheon-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
-
A.
Jangjeon-dong
Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
-
B.
Gwancheol-dong
Gwancheol-dong is a neighborhood in central Seoul, South Korea, known for its location within the historic Jongno district.
-
C.
Gyeonji-dong
Gyeonji-dong is a neighborhood in central Seoul, South Korea, known for its location within the historic Jongno District.
-
D.
Sogyeok-dong
Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
-
E.
Jangnim-dong
Jangnim-dong is a neighborhood in Busan, South Korea, known as a residential and industrial area within the city's southern coastal region.
- 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_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_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: March 30, 2026, 8:43 p.m.