Triple
T9418119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žilina Region |
E227080
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bytča |
E63869
|
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: Bytča | Statement: [Žilina Region, contains, Bytča]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bytča Context triple: [Žilina Region, contains, Bytča]
-
A.
Bytča
chosen
Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
-
B.
Pribylina
Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
-
C.
Tisovec
Tisovec is a small Slovak town known for its historical architecture and scenic location in the Rimavská Sobota District of the Banská Bystrica Region.
-
D.
Beloslav
Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
-
E.
Grintovec
Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107bfd73481908e07d0ee2774bd59 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.