Triple
T6792500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnoyarsk Krai |
E155967
|
entity |
| Predicate | traversedBy |
P225
|
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: [Krasnoyarsk Krai, traversedBy, Yenisei River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yenisei River Context triple: [Krasnoyarsk Krai, traversedBy, 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.
Angara River
The Angara River is a major river in Siberia that flows northward from Lake Baikal through Irkutsk Oblast before joining the Yenisei River.
-
C.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
D.
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.
-
E.
Kolyma River
The Kolyma River is a major waterway in northeastern Siberia, Russia, known for its harsh Arctic environment and historical association with Soviet-era labor camps.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ae4d1c819089ac6b3abf11a341 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7582b5a0c819085e6b8d07d6ab2f7 |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:15 p.m.