Triple
T20366869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malacky District |
E496934
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Veľké Leváre
Veľké Leváre is a village and municipality in western Slovakia known for its historic architecture and location near the Austrian border.
|
E1426420
|
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: Veľké Leváre | Statement: [Malacky District, containsSettlement, Veľké Leváre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veľké Leváre Context triple: [Malacky District, containsSettlement, Veľké Leváre]
-
A.
Veľká Rača
Veľká Rača is a prominent mountain peak in northern Slovakia near the Polish border, popular for hiking and skiing.
-
B.
Malostranská
Malostranská is a Prague Metro station on Line A serving the historic Malá Strana (Lesser Town) district near Prague Castle.
-
C.
Litava
Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
-
D.
Karlova Ves
Karlova Ves is a borough of Bratislava, Slovakia, known for its residential areas, university campus, and proximity to the Danube River and surrounding greenery.
-
E.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
- 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: Veľké Leváre Triple: [Malacky District, containsSettlement, Veľké Leváre]
Generated description
Veľké Leváre is a village and municipality in western Slovakia known for its historic architecture and location near the Austrian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veľké Leváre Target entity description: Veľké Leváre is a village and municipality in western Slovakia known for its historic architecture and location near the Austrian border.
-
A.
Veľká Rača
Veľká Rača is a prominent mountain peak in northern Slovakia near the Polish border, popular for hiking and skiing.
-
B.
Malostranská
Malostranská is a Prague Metro station on Line A serving the historic Malá Strana (Lesser Town) district near Prague Castle.
-
C.
Litava
Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
-
D.
Karlova Ves
Karlova Ves is a borough of Bratislava, Slovakia, known for its residential areas, university campus, and proximity to the Danube River and surrounding greenery.
-
E.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087089e0408190be8394376cdec110 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.