Triple
T23392512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volozhin |
E594055
|
entity |
| Predicate | administrativeCenterOf |
P383
|
FINISHED |
| Object | Volozhin District |
—
|
NE NERFINISHED |
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: Volozhin District | Statement: [Volozhin, administrativeCenterOf, Volozhin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volozhin District Context triple: [Volozhin, administrativeCenterOf, Volozhin District]
-
A.
Volozhin District
chosen
Volozhin District is an administrative district in the Minsk Region of Belarus, centered around the town of Volozhin.
-
B.
Gomelsky District
Gomelsky District is an administrative district centered around the city of Gomel in southeastern Belarus.
-
C.
Porkhovsky District
Porkhovsky District is an administrative district in Pskov Oblast, Russia, known for its rural settlements and historical towns in the western part of the country.
-
D.
Dzyarzhynsk District
Dzyarzhynsk District is an administrative district in Belarus known for containing Dzyarzhynskaya Hara, the country’s highest point.
-
E.
Lyuberetsky District
Lyuberetsky District is an administrative and municipal district in Moscow Oblast, Russia, located southeast of Moscow and centered around the city of Lyubertsy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49df4308190ab4ab31310af81ed |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.