Triple
T10043671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suyeong River |
E205356
|
entity |
| Predicate | hasRomanizedName |
P2508
|
FINISHED |
| Object | Suyeong-gang |
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-gang | Statement: [Suyeong River, hasRomanizedName, Suyeong-gang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suyeong-gang Context triple: [Suyeong River, hasRomanizedName, Suyeong-gang]
-
A.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
-
B.
Hwangnyeongsan
Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
-
C.
Imjin-gang
Imjin-gang is the Korean name for the Imjin River, a major river flowing through North and South Korea before joining the Han River near the Yellow Sea.
-
D.
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.
-
E.
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.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a35fbc081908ec7d359ec3332f2 |
completed | April 5, 2026, 5:21 p.m. |
Created at: March 30, 2026, 8:55 p.m.