Triple
T18631301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Jeolla Province |
E455422
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object | Gimje |
—
|
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: Gimje | Statement: [North Jeolla Province, hasCounty, Gimje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gimje Context triple: [North Jeolla Province, hasCounty, Gimje]
-
A.
Gimje
chosen
Gimje is a city in North Jeolla Province, South Korea, known for its expansive plains and agricultural production, particularly rice.
-
B.
Jemgum
Jemgum is a small municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its rural landscape along the Ems River.
-
C.
Gukmun
Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
-
D.
Junggumun
Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
-
E.
Ghindae
Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc4c5648190b771e9b080e98c15 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.