Triple
T20944260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Má vlast |
E515803
|
entity |
| Predicate | movement |
P81
|
FINISHED |
| Object | Blaník |
—
|
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: Blaník | Statement: [Má vlast, movement, Blaník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaník Context triple: [Má vlast, movement, Blaník]
-
A.
Blaník
chosen
Blaník is a Czech play by Václav Kliment Klicpera, best known for drawing on the national legend of the sleeping knights of Mount Blaník.
-
B.
Jeseník
Jeseník is a spa and mountain town in the northeastern Czech Republic, known for its natural springs and location in the Jeseníky mountain range.
-
C.
Svitava
Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
-
D.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
E.
Vrchlabí
Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad705e481909da0098d7c73cd02 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 12:52 p.m.