Triple
T9398532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyumen Oblast |
E226406
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Irtysh River |
E180119
|
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: Irtysh River | Statement: [Tyumen Oblast, hasRiver, Irtysh River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irtysh River Context triple: [Tyumen Oblast, hasRiver, Irtysh River]
-
A.
Irtysh River
chosen
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.
-
B.
Terek River
The Terek River is a major river in the North Caucasus that flows through Georgia and Russia before emptying into the Caspian Sea.
-
C.
Yenisei River
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.
-
D.
Tobol River
The Tobol River is a significant river in Western Siberia and northern Kazakhstan that flows through Russia and Kazakhstan before joining the Ob River.
-
E.
Bolshaya Almatinka River
The Bolshaya Almatinka River is a mountain river in southeastern Kazakhstan that flows through the city of Almaty, supplying it with water and shaping its surrounding landscapes.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51556fc08190b8ff8190a1485a3a |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ccfdf8c819092f2aa1ebe48ac83 |
completed | April 4, 2026, 3:22 p.m. |
Created at: March 30, 2026, 7:46 p.m.