Triple
T19193645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Váh |
E469906
|
entity |
| Predicate | nameInSlovak |
P25642
|
FINISHED |
| Object | Biely Váh |
—
|
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: Biely Váh | Statement: [White Váh, nameInSlovak, Biely Váh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biely Váh Context triple: [White Váh, nameInSlovak, Biely Váh]
-
A.
White Váh
chosen
White Váh is one of the two main headwater streams that join to form the Váh River in northern Slovakia.
-
B.
Devín
Devín is a historic borough of Bratislava, Slovakia, known for its medieval castle ruins overlooking the confluence of the Danube and Morava rivers.
-
C.
Zakhodni Buh
Zakhodni Buh is the Belarusian name for the Western Bug, a major river in Eastern Europe flowing through Ukraine, Poland, and Belarus.
-
D.
Vltavská
Vltavská is a Prague Metro station on Line C, located near the Vltava River in the Holešovice area of Prague, Czech Republic.
-
E.
Black Váh
Black Váh is one of the two main headwater branches of the Váh River in Slovakia, originating in the Tatra Mountains and contributing significantly to the river’s upper course.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a409948190a17aa28a6e9c8844 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.