Triple
T5019890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smolensk Oblast |
E112824
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sozh River |
E384458
|
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: Sozh River | Statement: [Smolensk Oblast, hasRiver, Sozh River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sozh River Context triple: [Smolensk Oblast, hasRiver, Sozh River]
-
A.
Sozh River
chosen
The Sozh River is a major Eastern European waterway and tributary of the Dnieper that flows through Russia, Belarus, and northern Ukraine.
-
B.
Son River
The Son River is a major river in central and eastern India that flows through states like Madhya Pradesh, Uttar Pradesh, and Bihar before joining the Ganges.
-
C.
Setun River
The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
-
D.
Partizanskaya River
The Partizanskaya River is a waterway in Russia’s Far East that flows through Primorsky Krai toward the Sea of Japan, supporting local ecosystems and settlements along its course.
-
E.
Tynda River
The Tynda River is a tributary of the Zeya River in Russia’s Amur Oblast, known for flowing through the town of Tynda in the Russian Far East.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9eeaf4bac8190a55c83b90cf17070 |
completed | March 30, 2026, 3:31 a.m. |
Created at: March 20, 2026, 1:36 p.m.