Triple
T1055437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusyn language |
E22790
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Prešov Rusyn
Prešov Rusyn is a regional variety of the Rusyn language spoken primarily by the Rusyn minority in and around the city of Prešov in eastern Slovakia.
|
E83895
|
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: Prešov Rusyn | Statement: [Rusyn language, hasDialect, Prešov Rusyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prešov Rusyn Context triple: [Rusyn language, hasDialect, Prešov Rusyn]
-
A.
Prešov
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
-
B.
Prešporok
Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
-
C.
Banská Bystrica
Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
-
D.
Košice
Košice is a major city in eastern Slovakia known for its historic Old Town, Gothic St. Elisabeth Cathedral, and role as an important cultural and economic center.
-
E.
Topoľčany
Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
- 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: Prešov Rusyn Triple: [Rusyn language, hasDialect, Prešov Rusyn]
Generated description
Prešov Rusyn is a regional variety of the Rusyn language spoken primarily by the Rusyn minority in and around the city of Prešov in eastern Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prešov Rusyn Target entity description: Prešov Rusyn is a regional variety of the Rusyn language spoken primarily by the Rusyn minority in and around the city of Prešov in eastern Slovakia.
-
A.
Prešov
chosen
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
-
B.
Prešporok
Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
-
C.
Banská Bystrica
Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
-
D.
Košice
Košice is a major city in eastern Slovakia known for its historic Old Town, Gothic St. Elisabeth Cathedral, and role as an important cultural and economic center.
-
E.
Topoľčany
Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
- F. None of above.
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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd110ac8190b66163de42bd3034 |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3d4b32348190883244f2b8af32a0 |
completed | March 7, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3dbf5c70819084a942fc97a9b50f |
completed | March 7, 2026, 3:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.