Triple
T7132019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzvina |
E166211
|
entity |
| Predicate | hasNameInBelarusian |
P26843
|
FINISHED |
| Object | Dzvina |
E166211
|
NE FINISHED |
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: Dzvina | Statement: [Dzvina, hasNameInBelarusian, Dzvina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dzvina Context triple: [Dzvina, hasNameInBelarusian, Dzvina]
-
A.
Dzvina
chosen
Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
-
B.
Bory
Bory is a Hungarian surname most notably associated with Jenő Bory, a sculptor, architect, and creator of the famous Bory Castle in Székesfehérvár, Hungary.
-
C.
Bytomka
Bytomka is a small river in southern Poland that flows through the city of Bytom and its surrounding industrial region.
-
D.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
E.
Миджур
Миджур е планински връх в Западна Стара планина на границата между България и Сърбия, известен като най-високия връх в сръбската част на Балкана.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66f15b88190bc1fb0f0a8af16a6 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa640f0081909a538d4705ca95bc |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 2:45 p.m.