Triple
T5855922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prešov Region |
E130151
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bardejov Spa |
E164701
|
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: Bardejov Spa | Statement: [Prešov Region, contains, Bardejov Spa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardejov Spa Context triple: [Prešov Region, contains, Bardejov Spa]
-
A.
Jáchymov Spa
Jáchymov Spa is a historic Czech spa resort renowned for its radon-rich thermal waters used in therapeutic treatments.
-
B.
Mariánské Lázně
Mariánské Lázně is a renowned spa town in the western Czech Republic, famous for its numerous mineral springs, elegant 19th-century architecture, and therapeutic treatments.
-
C.
Konstantinovy Lázně
Konstantinovy Lázně is a small spa municipality in the Czech Republic known for its therapeutic mineral springs and tranquil resort atmosphere.
-
D.
Pamporovo
Pamporovo is a popular Bulgarian ski resort town known for its sunny weather, gentle slopes, and location in the scenic Rhodope Mountains.
-
E.
Bardejov
chosen
Bardejov is a historic town in northeastern Slovakia renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03555cd6081908b0307decd60d2bc |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c00a8881908570f7127418e7ff |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.