Triple
T17811893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheongju |
E444728
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Musimcheon
Musimcheon is a river running through the city of Cheongju in South Korea, serving as a local natural and recreational landmark.
|
E1290082
|
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: Musimcheon | Statement: [Cheongju, hasRiver, Musimcheon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musimcheon Context triple: [Cheongju, hasRiver, Musimcheon]
-
A.
Seochon
Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
-
B.
Chilseok
Chilseok is a traditional Korean festival that commemorates the annual meeting of the celestial lovers Gyeonu and Jiknyeo, similar in theme to the Chinese Qixi Festival.
-
C.
Cheongsapo
Cheongsapo is a small coastal village in Busan, South Korea, known for its scenic lighthouses, seaside cafes, and ocean views.
-
D.
Haegeumgang
Haegeumgang is a scenic coastal rock formation and small island off Geoje renowned for its dramatic cliffs, sea caves, and sunrise views.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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: Musimcheon Triple: [Cheongju, hasRiver, Musimcheon]
Generated description
Musimcheon is a river running through the city of Cheongju in South Korea, serving as a local natural and recreational landmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Musimcheon Target entity description: Musimcheon is a river running through the city of Cheongju in South Korea, serving as a local natural and recreational landmark.
-
A.
Seochon
Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
-
B.
Chilseok
Chilseok is a traditional Korean festival that commemorates the annual meeting of the celestial lovers Gyeonu and Jiknyeo, similar in theme to the Chinese Qixi Festival.
-
C.
Cheongsapo
Cheongsapo is a small coastal village in Busan, South Korea, known for its scenic lighthouses, seaside cafes, and ocean views.
-
D.
Haegeumgang
Haegeumgang is a scenic coastal rock formation and small island off Geoje renowned for its dramatic cliffs, sea caves, and sunrise views.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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_69e4887b5e50819098506f0b92d709b5 |
completed | April 19, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff608640819093b5f1b31a254a83 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03038f7e54819090b85bed9044efd2 |
completed | May 12, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0303fe44308190b6cca9a119c969d9 |
completed | May 12, 2026, 10:42 a.m. |
Created at: April 10, 2026, 10:14 a.m.