Triple
T21185053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road of Bones |
E522057
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Oymyakon |
—
|
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: Oymyakon | Statement: [Road of Bones, nearbySettlement, Oymyakon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oymyakon Context triple: [Road of Bones, nearbySettlement, Oymyakon]
-
A.
Oymyakon
chosen
Oymyakon is a remote rural locality in Russia’s Sakha Republic known as one of the coldest permanently inhabited places on Earth.
-
B.
Verkhoyansk
Verkhoyansk is a small town in the Sakha Republic of Russia known as one of the coldest permanently inhabited places on Earth.
-
C.
Ust-Kut
Ust-Kut is a town in Irkutsk Oblast, Russia, located on the Lena River and known as a regional transport hub with river port and railway connections.
-
D.
Mirny
Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
-
E.
Longyearbyen
Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730205ce88190b0bb33003295d6e7 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:06 p.m.