Triple
T19610060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominican Alps |
E470706
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Yuna River |
—
|
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: Yuna River | Statement: [Dominican Alps, drainedBy, Yuna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuna River Context triple: [Dominican Alps, drainedBy, Yuna River]
-
A.
Yuna River
chosen
The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
-
B.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
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.
Neryungri River
Neryungri River is a river in the Sakha Republic (Yakutia), Russia, that gives its name to the nearby mining town of Neryungri.
-
E.
Seoktan River
The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ca57a081909c05000fca52271f |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.