Triple
T21257859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namgang River |
E523915
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jinjuseong |
—
|
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: Jinjuseong | Statement: [Namgang River, associatedWith, Jinjuseong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinjuseong Context triple: [Namgang River, associatedWith, Jinjuseong]
-
A.
Jinjuseong
chosen
Jinjuseong is a historic fortress in Jinju, South Korea, renowned for its role in the Imjin War and its well-preserved traditional architecture.
-
B.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
C.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
-
D.
Gungnae-seong
Gungnae-seong was the fortified capital city of the ancient Korean kingdom of Goguryeo, serving as a key political and military center.
-
E.
Yeongneung
Yeongneung is a royal tomb complex in Yeoju, South Korea, that houses the burial site of King Sejong the Great and is part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
- 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.