Triple
T5893325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best |
E131041
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Přerov
Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
|
E584545
|
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: Přerov | Statement: [Best, hasTwinTown, Přerov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Přerov Context triple: [Best, hasTwinTown, Přerov]
-
A.
Bražec
Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Prostějov
Prostějov is a historic city in the Olomouc Region of the Czech Republic known for its long-standing textile industry and Central European cultural heritage.
-
D.
Třebíč
Třebíč is a historic town in the Vysočina Region of the Czech Republic, known for its well-preserved Jewish Quarter and Basilica of St. Procopius, both UNESCO World Heritage Sites.
-
E.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
- 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: Přerov Triple: [Best, hasTwinTown, Přerov]
Generated description
Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Přerov Target entity description: Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
-
A.
Bražec
Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Prostějov
Prostějov is a historic city in the Olomouc Region of the Czech Republic known for its long-standing textile industry and Central European cultural heritage.
-
D.
Třebíč
Třebíč is a historic town in the Vysočina Region of the Czech Republic, known for its well-preserved Jewish Quarter and Basilica of St. Procopius, both UNESCO World Heritage Sites.
-
E.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b5c68481909fdcba428238c74d |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e399f2ec81908e2e38b9fbf8b56a |
completed | March 27, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69c5f2e8a1608190991d9f7d7971cdcd |
completed | March 27, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f37934d481909be8cae27bf75448 |
completed | March 27, 2026, 3:03 a.m. |
Created at: March 22, 2026, 3:58 p.m.