Triple
T15200563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 오산시 |
E363256
|
entity |
| Predicate | locatedEastOf |
P4240
|
FINISHED |
| Object |
화성시
화성시는 경기도 중서부에 위치한 도시로, 반도체·자동차 산업과 동탄 신도시 개발로 급성장한 수도권의 주요 배후도시이다.
|
E1144208
|
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: 화성시 | Statement: [오산시, locatedEastOf, 화성시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 화성시 Context triple: [오산시, locatedEastOf, 화성시]
-
A.
Daye City
Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
-
B.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
C.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
D.
Sangil
Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
-
E.
밀양시
밀양시는 경상남도 동북부에 위치한 시로, 낙동강과 밀양강이 합류하는 분지 지형과 밀양아리랑, 얼음골 등으로 유명한 도시이다.
- 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: 화성시 Triple: [오산시, locatedEastOf, 화성시]
Generated description
화성시는 경기도 중서부에 위치한 도시로, 반도체·자동차 산업과 동탄 신도시 개발로 급성장한 수도권의 주요 배후도시이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 화성시 Target entity description: 화성시는 경기도 중서부에 위치한 도시로, 반도체·자동차 산업과 동탄 신도시 개발로 급성장한 수도권의 주요 배후도시이다.
-
A.
Daye City
Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
-
B.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
C.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
D.
Sangil
Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
-
E.
밀양시
밀양시는 경상남도 동북부에 위치한 시로, 낙동강과 밀양강이 합류하는 분지 지형과 밀양아리랑, 얼음골 등으로 유명한 도시이다.
- 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.