Triple
T6338054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wda |
E142540
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Czarna Woda |
E586823
|
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: Czarna Woda | Statement: [Wda, alsoKnownAs, Czarna Woda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarna Woda Context triple: [Wda, alsoKnownAs, Czarna Woda]
-
A.
Czarna Woda
chosen
Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
-
B.
Czarny Dunajec
Czarny Dunajec is a village and municipality in southern Poland’s Podhale region, known for its traditional highland culture and proximity to the Tatra Mountains.
-
C.
Soła River
The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
-
D.
Martwa Wisła
Martwa Wisła is a branch of the Vistula River in northern Poland, flowing through the Gdańsk area and historically serving as an important waterway for the city.
-
E.
Dzvina
Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d4656f48190a4725fdeb2dd255d |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.