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.