Triple
T22741562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnokamensk–Bichigt |
E562426
|
entity |
| Predicate | hasBorderCrossingSide |
P149547
|
FINISHED |
| Object | Krasnokamensk |
—
|
NE NERFINISHED |
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: Krasnokamensk | Statement: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasnokamensk Context triple: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
-
A.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
B.
Krasnokamsk
Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
-
C.
Yalutorovsk
Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
-
D.
Kamyshlov
Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
-
E.
Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krasnokamensk Target entity description: Krasnokamensk is a town in Zabaykalsky Krai, Russia, known for its large uranium mining industry and proximity to the Mongolian border.
-
A.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
B.
Krasnokamsk
Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
-
C.
Yalutorovsk
Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
-
D.
Kamyshlov
Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
-
E.
Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderCrossingSide Context triple: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
-
A.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
B.
hasRailBorderCrossing
Indicates that two places are connected by at least one official border crossing that is served by rail transport.
-
C.
hasBorderCrossingFunction
Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
-
D.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
E.
usesBorderCrossing
Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
- F. None of above. chosen
Provenance (4 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:23 p.m.