Triple
T7908783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moravian Karst |
E183644
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Blansko |
E429605
|
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: Blansko | Statement: [Moravian Karst, nearbyTown, Blansko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blansko Context triple: [Moravian Karst, nearbyTown, Blansko]
-
A.
Blansko
chosen
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
B.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
C.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
D.
Kapesovo
Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
-
E.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5c85ac81908de2ca387826ea2f |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfe21f9081909d45565867ac7436 |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:03 p.m.