Triple
T21257872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namgang River |
E523915
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Hamyang 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: Hamyang County | Statement: [Namgang River, flowsThrough, Hamyang County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamyang County Context triple: [Namgang River, flowsThrough, Hamyang County]
-
A.
Hamyang County
chosen
Hamyang County is a rural administrative region in South Gyeongsang Province, South Korea, known for its mountainous landscapes, traditional villages, and agricultural heritage.
-
B.
Hampyeong County
Hampyeong County is a rural county in South Jeolla Province, South Korea, known for its agricultural production and seasonal flower festivals.
-
C.
Hoechang County
Hoechang County is a county in South Pyongan Province, North Korea, historically noted as the burial site of Mao Anying, son of Chinese leader Mao Zedong.
-
D.
Uiryeong County
Uiryeong County is a rural county in South Gyeongsang Province, South Korea, known as the birthplace of Samsung founder Lee Byung-chul.
-
E.
Seongju County
Seongju County is a rural administrative region in southeastern South Korea known for its melon farming and traditional cultural heritage.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e2f1d48190b566ab4d736fdbc4 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 3:58 p.m.