Triple
T15200568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 오산시 |
E363256
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
오산시장
오산시장은 경기도 오산시의 행정과 시정을 총괄하며 시민을 대표하는 지방자치단체의 최고 책임자 직위이다.
|
E1144209
|
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: 오산시장 | Statement: [오산시, hasMayor, 오산시장]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 오산시장 Context triple: [오산시, hasMayor, 오산시장]
-
A.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
B.
Pyeongtaek International Central Market
Pyeongtaek International Central Market is a bustling traditional and multicultural marketplace in Pyeongtaek, South Korea, known for its diverse food, shopping, and cultural experiences.
-
C.
Bupyeong Market
Bupyeong Market is a large traditional marketplace in Incheon, South Korea, known for its extensive underground shopping area, street food, and variety of goods.
-
D.
Osan-dong
Osan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea, functioning as a local administrative and residential area.
-
E.
Bupyeong Kkangtong Market
Bupyeong Kkangtong Market is a famous traditional market in Busan, South Korea, known for its bustling night market atmosphere, diverse street food, and variety of local goods.
- 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: 오산시장 Triple: [오산시, hasMayor, 오산시장]
Generated description
오산시장은 경기도 오산시의 행정과 시정을 총괄하며 시민을 대표하는 지방자치단체의 최고 책임자 직위이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 오산시장 Target entity description: 오산시장은 경기도 오산시의 행정과 시정을 총괄하며 시민을 대표하는 지방자치단체의 최고 책임자 직위이다.
-
A.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
B.
Pyeongtaek International Central Market
Pyeongtaek International Central Market is a bustling traditional and multicultural marketplace in Pyeongtaek, South Korea, known for its diverse food, shopping, and cultural experiences.
-
C.
Bupyeong Market
Bupyeong Market is a large traditional marketplace in Incheon, South Korea, known for its extensive underground shopping area, street food, and variety of goods.
-
D.
Osan-dong
Osan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea, functioning as a local administrative and residential area.
-
E.
Bupyeong Kkangtong Market
Bupyeong Kkangtong Market is a famous traditional market in Busan, South Korea, known for its bustling night market atmosphere, diverse street food, and variety of local goods.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed76d6a888190b44efa490df4b6d0 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feda443c64819087cb16ce742e7cc5 |
completed | May 9, 2026, 6:55 a.m. |
Created at: April 10, 2026, 3:10 a.m.