Triple
T1456453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechs |
E31411
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Moravia |
E35412
|
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: Moravia | Statement: [Czechs, historicalRegion, Moravia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moravia Context triple: [Czechs, historicalRegion, Moravia]
-
A.
Moravia
chosen
Moravia is a historical region in the eastern part of the Czech Republic, known for its distinct cultural heritage, wine production, and major cities such as Brno and Olomouc.
-
B.
Bohemia
Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
-
C.
Czech lands
The Czech lands are the historical regions of Bohemia, Moravia, and Czech Silesia that form the core territory of today’s Czech Republic.
-
D.
Karlovy Vary Region
Karlovy Vary Region is an administrative region in western Czech Republic known for its historic spa towns, including the city of Karlovy Vary, and its location along the Ore Mountains near the German border.
-
E.
Styria
Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
- 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_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_69adbf3a615c8190a428d049de4ba023 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 1, 2026, 8 p.m.