Triple
T22514180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zima Junction |
E556598
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Siberia |
—
|
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: Siberia | Statement: [Zima Junction, setting, Siberia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siberia Context triple: [Zima Junction, setting, Siberia]
-
A.
Siberia
chosen
Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
-
B.
Yakutia
Yakutia, also known as the Sakha Republic, is a vast, sparsely populated region in northeastern Siberia renowned for its extreme cold, rich mineral resources, and expansive taiga and tundra landscapes.
-
C.
Northern Siberia
Northern Siberia is a vast, sparsely populated Arctic and subarctic region of Russia characterized by tundra landscapes, permafrost, and significant natural gas and oil reserves.
-
D.
Sibiril
Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
-
E.
Kolyma region
The Kolyma region is a remote area in Russia’s Far East, historically notorious for its harsh climate and extensive network of Soviet Gulag labor camps.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2c3098819098a553133cc9515b |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.