Triple
T22295992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gangwon Province |
E551121
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hwacheon County |
—
|
NE NERFINISHED |
How this triple was built (2 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: Hwacheon County | Statement: [Gangwon Province, contains, Hwacheon County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hwacheon County Context triple: [Gangwon Province, contains, Hwacheon County]
-
A.
Hwacheon County
chosen
Hwacheon County is a rural county in Gangwon Province, South Korea, known for its mountainous terrain, lakes, and popular ice fishing festival.
-
B.
Jeongseon County
Jeongseon County is a mountainous rural county in eastern South Korea known for its traditional culture, scenic landscapes, and coal-mining history.
-
C.
Hoengseong County
Hoengseong County is a rural administrative region in northeastern South Korea known for its mountainous landscapes and premium Korean beef (Hoengseong hanwoo).
-
D.
Hongcheon County
Hongcheon County is a largely rural administrative region in northeastern South Korea known for its natural scenery, forests, and outdoor recreational activities.
-
E.
Yeongdeok County
Yeongdeok County is a coastal county in eastern South Korea known for its scenic shoreline and seafood, particularly snow crabs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1571fe76c8190a40b3679802a5475 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.