Triple
T6642163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barentsburg |
E150611
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
Arktikugol
Arktikugol is a Russian state-owned coal mining company best known for operating mining settlements in the Svalbard archipelago.
|
E609419
|
NE FINISHED |
How this triple was built (4 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: Arktikugol | Statement: [Barentsburg, operatedBy, Arktikugol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arktikugol Context triple: [Barentsburg, operatedBy, Arktikugol]
-
A.
Naukan
Naukan is a former indigenous Yupik settlement located at the easternmost point of the Chukotka Peninsula in Russia, near the Bering Strait.
-
B.
Barentu
Barentu is a town in western Eritrea that serves as an important regional center in the Gash-Barka administrative region.
-
C.
Campo de Hielo Norte
Campo de Hielo Norte is a vast Patagonian ice field in southern Chile, known as one of the largest mid-latitude ice masses in the world and a major source of outlet glaciers and freshwater.
-
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.
YAMAL
YAMAL is the radio callsign used by Yamal Airlines, a Russian regional carrier operating passenger and cargo flights, primarily in northern Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arktikugol Triple: [Barentsburg, operatedBy, Arktikugol]
Generated description
Arktikugol is a Russian state-owned coal mining company best known for operating mining settlements in the Svalbard archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arktikugol Target entity description: Arktikugol is a Russian state-owned coal mining company best known for operating mining settlements in the Svalbard archipelago.
-
A.
Naukan
Naukan is a former indigenous Yupik settlement located at the easternmost point of the Chukotka Peninsula in Russia, near the Bering Strait.
-
B.
Barentu
Barentu is a town in western Eritrea that serves as an important regional center in the Gash-Barka administrative region.
-
C.
Campo de Hielo Norte
Campo de Hielo Norte is a vast Patagonian ice field in southern Chile, known as one of the largest mid-latitude ice masses in the world and a major source of outlet glaciers and freshwater.
-
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.
YAMAL
YAMAL is the radio callsign used by Yamal Airlines, a Russian regional carrier operating passenger and cargo flights, primarily in northern Russia.
- F. None of above. chosen
Provenance (5 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeef3f7481909929838858225f41 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a1149c8190af55a613eada84b6 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f17ccd7c8190918e03b114f4f064 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2 p.m.