Triple
T21261487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratov Governorate |
E524012
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Povolzhye |
—
|
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: Povolzhye | Statement: [Saratov Governorate, locatedIn, Povolzhye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Povolzhye Context triple: [Saratov Governorate, locatedIn, Povolzhye]
-
A.
Volga Upland
Volga Upland is a highland region in European Russia characterized by rolling hills and elevated terrain along the western bank of the Volga River.
-
B.
Volga region
chosen
The Volga region is a historical and economic area of Russia centered around the Volga River, known for its major industrial cities, diverse ethnic composition, and strategic importance in transportation and energy.
-
C.
Baikal region
The Baikal region is a geographic area in Siberia centered around Lake Baikal, renowned for its unique ecosystems, dramatic landscapes, and cultural significance.
-
D.
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
E.
Kostroma Lowland
The Kostroma Lowland is a flat, low-lying geographical region in central Russia characterized by its river plains and wetlands.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e6a0448190ad412a8fcbbd8ff0 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 3:59 p.m.