Triple
T1259377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberia |
E12462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yenisei River |
E59520
|
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: Yenisei River | Statement: [Siberia, contains, Yenisei River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yenisei River Context triple: [Siberia, contains, Yenisei River]
-
A.
Yenisei River
chosen
The Yenisei River is one of the longest rivers in Asia, flowing northward through Siberia to the Arctic Ocean and forming a major part of the central Eurasian river system.
-
B.
Irtysh River
The Irtysh River is a major river in Central Asia and Western Siberia that flows through China, Kazakhstan, and Russia before joining the Ob River.
-
C.
Amur River
The Amur River is a major waterway in northeastern Asia that forms much of the border between Russia and China and supports rich ecosystems and regional trade.
-
D.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
E.
Vilyuy River
The Vilyuy River is a major tributary of the Lena River in eastern Siberia, flowing through the Sakha Republic and known for its remote taiga landscapes and nearby diamond-mining regions.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc3a2848190891e73b351019d5b |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc97fe2808190b421329ed239af6f |
completed | March 8, 2026, 7:09 p.m. |
Created at: March 1, 2026, 7:50 p.m.