Triple
T17690207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drutsk |
E441003
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tolochin District |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tolochin District | Statement: [Drutsk, locatedIn, Tolochin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolochin District Context triple: [Drutsk, locatedIn, Tolochin District]
-
A.
Ulchsky District
Ulchsky District is an administrative district in Khabarovsk Krai in Russia, located along the lower Amur River and known for its indigenous Ulch population and remote, sparsely populated territory.
-
B.
Arsky District
Arsky District is an administrative and municipal district in the Republic of Tatarstan, Russia, known for its predominantly rural character and Tatar cultural heritage.
-
C.
Anabarsky District
Anabarsky District is a sparsely populated administrative district in the far north of the Sakha Republic (Yakutia), Russia, known for its Arctic climate and remote tundra landscapes.
-
D.
Leshukonsky District
Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
-
E.
Kashinsky District
Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
- 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: Tolochin District Target entity description: Tolochin District is an administrative district in the Vitebsk Region of Belarus, known for its rural settlements and historical towns such as Drutsk.
-
A.
Ulchsky District
Ulchsky District is an administrative district in Khabarovsk Krai in Russia, located along the lower Amur River and known for its indigenous Ulch population and remote, sparsely populated territory.
-
B.
Arsky District
Arsky District is an administrative and municipal district in the Republic of Tatarstan, Russia, known for its predominantly rural character and Tatar cultural heritage.
-
C.
Anabarsky District
Anabarsky District is a sparsely populated administrative district in the far north of the Sakha Republic (Yakutia), Russia, known for its Arctic climate and remote tundra landscapes.
-
D.
Leshukonsky District
Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
-
E.
Kashinsky District
Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
- F. None of above. chosen
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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704b43a88190ba29654ca695839e |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.