Triple
T17769395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinsk District |
E443592
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Luninets 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: Luninets District | Statement: [Pinsk District, hasBorderWith, Luninets District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luninets District Context triple: [Pinsk District, hasBorderWith, Luninets District]
-
A.
Nanaysky District
Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
-
B.
Ruzsky District
Ruzsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its mix of small towns, rural settlements, and historical sites west of Moscow.
-
C.
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.
-
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.
Pytalovsky District
Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
- 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: Luninets District Target entity description: Luninets District is an administrative district (raion) in the Brest Region of Belarus, known for its agricultural landscape and location in the Polesia region.
-
A.
Nanaysky District
Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
-
B.
Ruzsky District
Ruzsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its mix of small towns, rural settlements, and historical sites west of Moscow.
-
C.
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.
-
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.
Pytalovsky District
Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.