Triple
T19197684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Świętokrzyskie |
E470013
|
entity |
| Predicate | hasSpaTown |
P19664
|
FINISHED |
| Object | Solec-Zdrój |
—
|
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: Solec-Zdrój | Statement: [Świętokrzyskie, hasSpaTown, Solec-Zdrój]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solec-Zdrój Context triple: [Świętokrzyskie, hasSpaTown, Solec-Zdrój]
-
A.
Solec-Zdrój
chosen
Solec-Zdrój is a spa village in southern Poland known for its therapeutic mineral waters and health resort facilities.
-
B.
Rabka-Zdrój
Rabka-Zdrój is a spa town in southern Poland renowned for its health resorts and therapeutic climate, particularly for treating children’s respiratory diseases.
-
C.
Polanica-Zdrój
Polanica-Zdrój is a well-known spa resort town in southwestern Poland, noted for its mineral springs, health treatments, and picturesque mountain surroundings.
-
D.
Lądek-Zdrój
Lądek-Zdrój is one of Poland’s oldest and most renowned spa towns, famed for its historic architecture and therapeutic mineral springs in the Lower Silesian region.
-
E.
Połczyn-Zdrój
Połczyn-Zdrój is a spa town in north-western Poland known for its therapeutic mineral waters and health resorts.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a695cc8190b84a220f52c51dfc |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.