Triple
T20944217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipno Reservoir |
E515802
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Černá v Pošumaví |
—
|
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: Černá v Pošumaví | Statement: [Lipno Reservoir, locatedNear, Černá v Pošumaví]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Černá v Pošumaví Context triple: [Lipno Reservoir, locatedNear, Černá v Pošumaví]
-
A.
Černá v Pošumaví
chosen
Černá v Pošumaví is a village and popular recreational area on the shores of the Lipno Reservoir in the South Bohemian Region of the Czech Republic.
-
B.
Čierna nad Tisou
Čierna nad Tisou is a small town in eastern Slovakia known as an important railway and border-crossing hub with Ukraine.
-
C.
Loučka
Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
-
D.
Pec pod Sněžkou
Pec pod Sněžkou is a Czech mountain town in the Krkonoše (Giant) Mountains, best known as a major ski resort and gateway to Sněžka, the country’s highest peak.
-
E.
Třemešné
Třemešné is a small municipality and village in the Plzeň 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_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.