Triple
T15774770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haná |
E382461
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Vyškov |
E438638
|
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: Vyškov | Statement: [Haná, majorCity, Vyškov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vyškov Context triple: [Haná, majorCity, Vyškov]
-
A.
Vyškov
chosen
Vyškov is a historic town in the South Moravian Region of the Czech Republic, known for its Renaissance chateau, zoo and dinosaur park, and its role as a local administrative and cultural center.
-
B.
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.
-
C.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
-
D.
Bražec
Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
E.
Hradec Králové
Hradec Králové is a historic city in the Czech Republic known for its educational institutions, modernist architecture, and role as a regional cultural and economic center.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28f63c88190968ecbd4706b1331 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:47 a.m.