Triple
T17824593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chungju |
E445080
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object |
Chungju Lake
Chungju Lake is a large artificial reservoir in South Korea, created by the Chungju Dam and known for its scenic landscapes and recreational activities.
|
E1291929
|
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: Chungju Lake | Statement: [Chungju, hasBodyOfWater, Chungju Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chungju Lake Context triple: [Chungju, hasBodyOfWater, Chungju Lake]
-
A.
Suseong Lake
Suseong Lake is a popular recreational lake in Daegu, South Korea, known for its scenic walking paths, cafes, and cultural events.
-
B.
Baegun Lake
Baegun Lake is a scenic artificial reservoir and recreational area located in the city of Uiwang, South Korea.
-
C.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
-
D.
Dabusun Lake
Dabusun Lake is a saline lake located in the arid Qaidam Basin of Qinghai Province on the northeastern Tibetan Plateau in China.
-
E.
Lake Pochung
Lake Pochung is a small freshwater lake and residential-recreational area located in Vernon Township in Sussex County, New Jersey.
- 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: Chungju Lake Triple: [Chungju, hasBodyOfWater, Chungju Lake]
Generated description
Chungju Lake is a large artificial reservoir in South Korea, created by the Chungju Dam and known for its scenic landscapes and recreational activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chungju Lake Target entity description: Chungju Lake is a large artificial reservoir in South Korea, created by the Chungju Dam and known for its scenic landscapes and recreational activities.
-
A.
Suseong Lake
Suseong Lake is a popular recreational lake in Daegu, South Korea, known for its scenic walking paths, cafes, and cultural events.
-
B.
Baegun Lake
Baegun Lake is a scenic artificial reservoir and recreational area located in the city of Uiwang, South Korea.
-
C.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
-
D.
Dabusun Lake
Dabusun Lake is a saline lake located in the arid Qaidam Basin of Qinghai Province on the northeastern Tibetan Plateau in China.
-
E.
Lake Pochung
Lake Pochung is a small freshwater lake and residential-recreational area located in Vernon Township in Sussex County, New Jersey.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c570fc8819092222790ce3dd2a0 |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030cf60a9c8190903b3b563238b575 |
completed | May 12, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030d8a3a1c81909e311d19201bbd42 |
completed | May 12, 2026, 11:22 a.m. |
Created at: April 10, 2026, 10:15 a.m.