Triple
T10108373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolyma Tales |
E218179
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Kolyma |
E497605
|
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: Kolyma | Statement: [Kolyma Tales, setting, Kolyma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolyma Context triple: [Kolyma Tales, setting, Kolyma]
-
A.
Kolyma River basin
The Kolyma River basin is a vast, sparsely populated watershed in northeastern Siberia that drains into the Arctic Ocean and is known for its extreme cold, permafrost landscapes, and historical association with Soviet-era labor camps.
-
B.
Kolyma River
chosen
The Kolyma River is a major waterway in northeastern Siberia, Russia, known for its harsh Arctic environment and historical association with Soviet-era labor camps.
-
C.
Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
-
D.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
E.
Anadyr
Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cbd8a48190b2af6177d1249f58 |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e59ec83c8190a79fbb0d0de90310 |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:03 p.m.