Triple
T17002761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belá |
E412488
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Pribylina |
E414896
|
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: Pribylina | Statement: [Belá, passesNear, Pribylina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pribylina Context triple: [Belá, passesNear, Pribylina]
-
A.
Pribylina
chosen
Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
-
B.
Bytča
Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
-
C.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
-
D.
Lalín
Lalín is a municipality in the interior of the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
-
E.
Kamenice
Kamenice is a river flowing through the scenic sandstone gorges and forests of Bohemian Switzerland in the Czech Republic.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37f8ba88190b8d32a1d09b6e6fd |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ed3c5c8190b9d3662378ead04c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:32 a.m.