Triple
T6784153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산광역시 북구 |
E155757
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
화명생태공원
화명생태공원은 낙동강을 따라 조성된 습지와 초지, 산책로가 어우러진 자연 생태 체험 및 휴식 공간이다.
|
E617787
|
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: 화명생태공원 | Statement: [부산광역시 북구, hasPark, 화명생태공원]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 화명생태공원 Context triple: [부산광역시 북구, hasPark, 화명생태공원]
-
A.
Daewangam Park
Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
-
B.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
C.
Taejongdae Park
Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
-
D.
Bokwang Phoenix Park
Bokwang Phoenix Park is a ski and snowboard resort in Pyeongchang, South Korea, known for hosting freestyle skiing and snowboarding events during the 2018 Winter Olympics.
-
E.
Longtan Park
Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
- 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: 화명생태공원 Triple: [부산광역시 북구, hasPark, 화명생태공원]
Generated description
화명생태공원은 낙동강을 따라 조성된 습지와 초지, 산책로가 어우러진 자연 생태 체험 및 휴식 공간이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 화명생태공원 Target entity description: 화명생태공원은 낙동강을 따라 조성된 습지와 초지, 산책로가 어우러진 자연 생태 체험 및 휴식 공간이다.
-
A.
Daewangam Park
Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
-
B.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
C.
Taejongdae Park
Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
-
D.
Bokwang Phoenix Park
Bokwang Phoenix Park is a ski and snowboard resort in Pyeongchang, South Korea, known for hosting freestyle skiing and snowboarding events during the 2018 Winter Olympics.
-
E.
Longtan Park
Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28bdc3c8190aa60616d89db66ed |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d5557881909614819deb335534 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c713c89a748190bd7bf280b82317f0 |
completed | March 27, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c714697330819082be2c9a871703f5 |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:14 p.m.