Triple
T19288980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Považská Bystrica |
E482388
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Považie |
—
|
NE NERFINISHED |
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: Považie | Statement: [Považská Bystrica, historicalRegion, Považie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Považie Context triple: [Považská Bystrica, historicalRegion, Považie]
-
A.
Považie
chosen
Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
-
B.
Dôle
Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
-
C.
Vodňany
Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
-
D.
Štiavnik
Štiavnik is a village and municipality in northern Slovakia, situated in the Žilina Region.
-
E.
Rovenky
Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.