Triple
T4058105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liptov |
E84742
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object |
Gino Paradise Bešeňová
Gino Paradise Bešeňová is a popular thermal water park and wellness resort in northern Slovakia, known for its geothermal pools and recreational facilities.
|
E411857
|
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: Gino Paradise Bešeňová | Statement: [Liptov, hasTouristAttraction, Gino Paradise Bešeňová]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gino Paradise Bešeňová Context triple: [Liptov, hasTouristAttraction, Gino Paradise Bešeňová]
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
C.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
-
D.
Hana Benešová
Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
-
E.
Terézia Mora
Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
- 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: Gino Paradise Bešeňová Triple: [Liptov, hasTouristAttraction, Gino Paradise Bešeňová]
Generated description
Gino Paradise Bešeňová is a popular thermal water park and wellness resort in northern Slovakia, known for its geothermal pools and recreational facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gino Paradise Bešeňová Target entity description: Gino Paradise Bešeňová is a popular thermal water park and wellness resort in northern Slovakia, known for its geothermal pools and recreational facilities.
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
C.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
-
D.
Hana Benešová
Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
-
E.
Terézia Mora
Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a6250081908f289f43b066b04d |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b3db0481909f3dd2a9e6a88e6e |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b567e223cc8190aa1d7e827e6c70fd |
completed | March 14, 2026, 1:51 p.m. |
Created at: March 9, 2026, 3:38 p.m.