Triple
T4460211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szaflary |
E98232
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Biały Dunajec River |
E140971
|
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: Biały Dunajec River | Statement: [Szaflary, hasNearbyRiver, Biały Dunajec River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biały Dunajec River Context triple: [Szaflary, hasNearbyRiver, Biały Dunajec River]
-
A.
Biały Dunajec
chosen
Biały Dunajec is a mountain river in southern Poland that flows through the Podhale region in the Tatra foothills.
-
B.
Dunajec River
The Dunajec River is a picturesque river in southern Poland and northern Slovakia, renowned for its scenic gorge and popular rafting routes through the Pieniny Mountains.
-
C.
Bystrzyca River
The Bystrzyca River is a river in eastern Poland that flows through the city of Lublin and is a tributary of the Wieprz River.
-
D.
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.
-
E.
Biała River
The Biała River is a small river in northeastern Poland that flows through the city of Białystok and forms part of its natural landscape.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd36a7c9c81908f325bc8a53db0c8 |
completed | March 20, 2026, 11:08 p.m. |
Created at: March 12, 2026, 11:33 p.m.