Triple
T9207138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moravian-Silesian Region |
E221010
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
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.
|
E790183
|
NE FINISHED |
How this triple was built (4 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: Lysá hora | Statement: [Moravian-Silesian Region, hasLandmark, Lysá hora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysá hora Context triple: [Moravian-Silesian Region, hasLandmark, Lysá hora]
-
A.
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.
-
B.
Vysoké Skalky
Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
-
C.
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
D.
Veľká Fatra
Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park landscapes.
-
E.
Svitava
Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lysá hora Triple: [Moravian-Silesian Region, hasLandmark, Lysá hora]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lysá hora Target entity description: 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.
-
A.
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.
-
B.
Vysoké Skalky
Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
-
C.
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
D.
Veľká Fatra
Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park landscapes.
-
E.
Svitava
Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
- F. None of above. chosen
Provenance (5 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b0b6788190908bee67a0c5d48f |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1adc2508190b8a24510ee61f092 |
completed | April 4, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d0b2b9fbf4819083e594d676323c65 |
completed | April 4, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b343a040819098620e2e3c451b39 |
completed | April 4, 2026, 6:44 a.m. |
Created at: March 30, 2026, 7:26 p.m.