Triple
T1597891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bohemian Region |
E34324
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object | Beroun |
E217732
|
NE FINISHED |
How this triple was built (2 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: Beroun | Statement: [Central Bohemian Region, hasHistoricTown, Beroun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beroun Context triple: [Central Bohemian Region, hasHistoricTown, Beroun]
-
A.
Beroun
chosen
Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
-
B.
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.
-
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.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092f5f148190b987bc943e89e29c |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb90e16081908d70df182b7efb8a |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:27 p.m.