Triple
T17523239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno-Country District |
E426728
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Oslavany
Oslavany is a small town in the South Moravian Region of the Czech Republic, historically known for its coal mining and power industry.
|
E1274452
|
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: Oslavany | Statement: [Brno-Country District, hasMunicipality, Oslavany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslavany Context triple: [Brno-Country District, hasMunicipality, Oslavany]
-
A.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
B.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
C.
Русины
Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
-
D.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
E.
Opařany
Opařany is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historical architecture.
- 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: Oslavany Triple: [Brno-Country District, hasMunicipality, Oslavany]
Generated description
Oslavany is a small town in the South Moravian Region of the Czech Republic, historically known for its coal mining and power industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oslavany Target entity description: Oslavany is a small town in the South Moravian Region of the Czech Republic, historically known for its coal mining and power industry.
-
A.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
B.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
C.
Русины
Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
-
D.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
E.
Opařany
Opařany is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historical architecture.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9452ab08190a0539964b1b90f86 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 10, 2026, 5:49 a.m.