Triple
T9812592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suyŏng-gu |
E238309
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Suyeong River |
E205356
|
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: Suyeong River | Statement: [Suyŏng-gu, locatedNear, Suyeong River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suyeong River Context triple: [Suyŏng-gu, locatedNear, Suyeong River]
-
A.
Suyeong River
chosen
The Suyeong River is a major waterway flowing through Busan, South Korea, known for its scenic riverside areas and proximity to key cultural and urban landmarks.
-
B.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
-
C.
Namgang River
The Namgang River is a scenic waterway in South Korea known for flowing through Jinju and hosting the famous Jinju Namgang Yudeung (Lantern) Festival.
-
D.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
E.
Taehwa River
The Taehwa River is a major waterway in southeastern South Korea that flows through the industrial city of Ulsan and serves as an important ecological and recreational resource for the region.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb222ba788190a9085272a3de7852 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:30 p.m.