Triple

T15200564
Position Surface form Disambiguated ID Type / Status
Subject 오산시 E363256 entity
Predicate locatedWestOf P4239 FINISHED
Object 용인시
용인시는 경기도 중남부에 위치한 대도시로, 에버랜드와 한국민속촌 등 주요 관광지와 첨단 산업단지를 함께 갖춘 도시이다.
E1144973 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: 용인시 | Statement: [오산시, locatedWestOf, 용인시]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 용인시
Context triple: [오산시, locatedWestOf, 용인시]
  • A. 수원시
    수원시는 경기도 중남부에 위치한 광역시급 기초자치단체로, 행정·산업·교육의 중심지이자 수원 화성으로 유명한 도시이다.
  • B. 오산시
    오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
  • C. Gwacheon
    Gwacheon is a small city in South Korea known for hosting major government offices, cultural institutions, and the Seoul Grand Park complex.
  • D. Hwaseong-si
    Hwaseong-si is a rapidly growing city in Gyeonggi Province, South Korea, known for its industrial complexes, coastal wetlands, and proximity to Seoul.
  • E. Ansan
    Ansan is a coastal industrial city in South Korea known for its manufacturing base, multicultural population, and proximity to Seoul.
  • 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: 용인시
Triple: [오산시, locatedWestOf, 용인시]
Generated description
용인시는 경기도 중남부에 위치한 대도시로, 에버랜드와 한국민속촌 등 주요 관광지와 첨단 산업단지를 함께 갖춘 도시이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 용인시
Target entity description: 용인시는 경기도 중남부에 위치한 대도시로, 에버랜드와 한국민속촌 등 주요 관광지와 첨단 산업단지를 함께 갖춘 도시이다.
  • A. 수원시
    수원시는 경기도 중남부에 위치한 광역시급 기초자치단체로, 행정·산업·교육의 중심지이자 수원 화성으로 유명한 도시이다.
  • B. 오산시
    오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
  • C. Gwacheon
    Gwacheon is a small city in South Korea known for hosting major government offices, cultural institutions, and the Seoul Grand Park complex.
  • D. Hwaseong-si
    Hwaseong-si is a rapidly growing city in Gyeonggi Province, South Korea, known for its industrial complexes, coastal wetlands, and proximity to Seoul.
  • E. Ansan
    Ansan is a coastal industrial city in South Korea known for its manufacturing base, multicultural population, and proximity to Seoul.
  • 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_69fedd2dc6f08190a8f1612ac29a8654 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf49f1c88190857cb1555e98c97e completed May 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69fee06a90448190b7733aa5ee8a5d62 completed May 9, 2026, 7:21 a.m.
Created at: April 10, 2026, 3:10 a.m.