Triple
T10583892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nízký Jeseník |
E249803
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | Low Jeseník |
E249803
|
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: Low Jeseník | Statement: [Nízký Jeseník, nameMeaning, Low Jeseník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Low Jeseník Context triple: [Nízký Jeseník, nameMeaning, Low Jeseník]
-
A.
Nízký Jeseník
chosen
Nízký Jeseník is a low, rolling mountain range in the Czech Republic known for its volcanic-origin plateaus, forests, and extensive hiking and cycling routes.
-
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.
Loučka
Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
-
D.
Ležáky
Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
-
E.
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.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.