Triple
T1456378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cieszyn Silesia |
E31409
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Třinec
Třinec is an industrial city in the Czech Republic best known for its large steelworks and location in the historical region of Cieszyn Silesia.
|
E210322
|
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: Třinec | Statement: [Cieszyn Silesia, hasMajorCity, Třinec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Třinec Context triple: [Cieszyn Silesia, hasMajorCity, Třinec]
-
A.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
B.
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.
-
C.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
D.
Ústí nad Labem
Ústí nad Labem is an industrial city in the north of the Czech Republic, known as a major transport hub and river port in the Bohemian region.
-
E.
Ostrava
Ostrava is a major industrial and cultural city in the northeastern Czech Republic, near the borders with Poland and Slovakia.
- 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: Třinec Triple: [Cieszyn Silesia, hasMajorCity, Třinec]
Generated description
Třinec is an industrial city in the Czech Republic best known for its large steelworks and location in the historical region of Cieszyn Silesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Třinec Target entity description: Třinec is an industrial city in the Czech Republic best known for its large steelworks and location in the historical region of Cieszyn Silesia.
-
A.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
B.
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.
-
C.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
D.
Ústí nad Labem
Ústí nad Labem is an industrial city in the north of the Czech Republic, known as a major transport hub and river port in the Bohemian region.
-
E.
Ostrava
Ostrava is a major industrial and cultural city in the northeastern Czech Republic, near the borders with Poland and Slovakia.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c598b30c8190b87207adf608b89a |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf2374ac8190ac2a2a753c056a3d |
completed | March 8, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69ade16fdfdc81908299c6bf1fd973d8 |
completed | March 8, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade1b832fc81908bd9ab364cd333c7 |
completed | March 8, 2026, 8:53 p.m. |
Created at: March 1, 2026, 8 p.m.