Triple
T3592095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nenets Autonomous Okrug |
E76048
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Naryan-Mar |
E377024
|
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: Naryan-Mar | Statement: [Nenets Autonomous Okrug, administrativeCenter, Naryan-Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naryan-Mar Context triple: [Nenets Autonomous Okrug, administrativeCenter, Naryan-Mar]
-
A.
Naryan-Mar
chosen
Naryan-Mar is a small Arctic port city in northwestern Russia, serving as the administrative and economic center of the Nenets Autonomous Okrug.
-
B.
Salekhard
Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
-
C.
Nizhnevartovsk
Nizhnevartovsk is a major oil-producing city in western Siberia, Russia, known as one of the centers of the country’s petroleum industry.
-
D.
Apatity
Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
-
E.
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.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15a546481909c72dac80d65e1fb |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c37c68108190ada8c319e1ec09fa |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:22 p.m.