Triple
T17456744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sněžka |
E425049
|
entity |
| Predicate | hasCzechName |
P17790
|
FINISHED |
| Object | Sněžka |
—
|
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: Sněžka | Statement: [Sněžka, hasCzechName, Sněžka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sněžka Context triple: [Sněžka, hasCzechName, Sněžka]
-
A.
Sněžka
chosen
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
B.
Lomnický štít
Lomnický štít is one of the highest and most famous peaks in the High Tatras of Slovakia, renowned for its dramatic alpine scenery and accessible summit observatory.
-
C.
Lysá hora
Lysá hora is the highest peak of the Moravian-Silesian Beskids in the Czech Republic, known for its panoramic views and popular hiking and skiing routes.
-
D.
Ještěd Mountain
Ještěd Mountain is a prominent peak in the Czech Republic known for its distinctive futuristic hotel and television tower that dominates the skyline near the city of Liberec.
-
E.
Růžovský vrch
Růžovský vrch is a prominent hill and notable natural landmark that forms the highest elevation in the Bohemian Switzerland region of the Czech Republic.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.