Triple
T644440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tambov Rebellion |
E11209
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Soviet Russia |
E8875
|
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: Soviet Russia | Statement: [Tambov Rebellion, location, Soviet Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soviet Russia Context triple: [Tambov Rebellion, location, Soviet Russia]
-
A.
Soviet Union
The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
-
B.
Russian SFSR
chosen
The Russian SFSR was the largest and most influential republic of the former Soviet Union, encompassing much of its political, economic, and cultural center.
-
C.
Rus'
Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
-
D.
Russia
Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
-
E.
Russas
Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb77a8908190bc3d5eb1b8ab3a03 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.