Triple
T4418436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orava |
E95035
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Dolný Kubín |
E381826
|
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: Dolný Kubín | Statement: [Orava, administrativeCenter, Dolný Kubín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolný Kubín Context triple: [Orava, administrativeCenter, Dolný Kubín]
-
A.
Dolný Kubín
chosen
Dolný Kubín is a town in northern Slovakia known as the cultural and administrative center of the Orava region, noted for its historic architecture and scenic setting along the Orava River.
-
B.
Kysuce
Kysuce is a mountainous region in northwestern Slovakia known for its forests, traditional villages, and proximity to the Czech and Polish borders.
-
C.
Kriváň
Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
-
D.
Zemplín
Zemplín is a historical and geographical region in eastern Slovakia known for its wine production, cultural heritage, and proximity to the borders with Hungary and Ukraine.
-
E.
Bílina
Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551e7c6c819090fa5dfb5ac58e4c |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613664c548190b5cd0c2667baecc7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:29 p.m.