Triple
T10730344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eumseong-eup |
E253053
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Eumseong-up |
E253053
|
NE FINISHED |
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: Eumseong-up | Statement: [Eumseong-eup, romanization, Eumseong-up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eumseong-up Context triple: [Eumseong-eup, romanization, Eumseong-up]
-
A.
Eumseong-eup
chosen
Eumseong-eup is the main urban township and administrative center of Eumseong County in North Chungcheong Province, South Korea.
-
B.
Eumseong-gun
Eumseong-gun is a rural county in central South Korea known for its agricultural production and location within North Chungcheong Province.
-
C.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
D.
Mokneung
Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
-
E.
Mungyeong
Mungyeong is a city in South Korea known for its historic mountain passes, scenic hiking trails, and traditional cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55621a88c8190b9611bf9e3b307de |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:14 p.m.