Triple
T21509958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoechang-gun |
E530689
|
entity |
| Predicate | hangulName |
P17869
|
FINISHED |
| Object | 회창군 |
—
|
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: 회창군 | Statement: [Hoechang-gun, hangulName, 회창군]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 회창군 Context triple: [Hoechang-gun, hangulName, 회창군]
-
A.
Goesan-gun
Goesan-gun is a rural county in central South Korea known for its mountainous landscapes, agriculture, and traditional cultural heritage.
-
B.
Uiryeong-gun
Uiryeong-gun is a rural county in South Gyeongsang Province, South Korea, known for its agricultural landscape and small-town communities.
-
C.
Hoechang County
chosen
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.
Okcheon-gun
Okcheon-gun is a rural county in North Chungcheong Province, South Korea, known for its agricultural landscapes and traditional Korean cultural heritage.
-
E.
Yeongdong-gun
Yeongdong-gun is a rural county in North Chungcheong Province, South Korea, known for its grape cultivation and traditional agricultural landscape.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.