Triple
T4704787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Váh |
E104365
|
entity |
| Predicate | majorLeftTributary |
P415
|
FINISHED |
| Object | Malý Váh |
E469906
|
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: Malý Váh | Statement: [Váh, majorLeftTributary, Malý Váh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malý Váh Context triple: [Váh, majorLeftTributary, Malý Váh]
-
A.
Svitava
Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
-
B.
White Váh
chosen
White Váh is one of the two main headwater streams that join to form the Váh River in northern Slovakia.
-
C.
Zemplín
Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
-
D.
Kysuce
Kysuce is a mountainous region in northwestern Slovakia known for its forests, traditional villages, and proximity to the Czech and Polish borders.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63d1e9c48190bad5f7d68bf0f622 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c84eb4481908a7188672624bc4d |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:17 p.m.