Triple
T803115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena River |
E17170
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Russian Federation |
E10011
|
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: Russian Federation | Statement: [Lena River, locatedIn, Russian Federation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian Federation Context triple: [Lena River, locatedIn, Russian Federation]
-
A.
Russia
chosen
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.
-
B.
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.
-
C.
Russian SFSR
The Russian SFSR was the largest and most influential republic of the former Soviet Union, encompassing much of its political, economic, and cultural center.
-
D.
Soviet Union
The Soviet Union was a socialist superpower that dominated Eastern Europe and led the communist bloc during the Cold War.
-
E.
Russia and Mongolia
Russia and Mongolia are neighboring countries in northern Eurasia that share a long land border across the Central Asian steppe and mountain regions.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabd9fc081908ccadd8e8769de2d |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad589d25308190afa71150fdbaed7a |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:38 p.m.