Triple
T9480883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duszniki-Zdrój |
E228632
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Duszniki-Zdrój |
E228632
|
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: Duszniki-Zdrój | Statement: [Duszniki-Zdrój, hasOfficialName, Duszniki-Zdrój]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duszniki-Zdrój Context triple: [Duszniki-Zdrój, hasOfficialName, Duszniki-Zdrój]
-
A.
Duszniki-Zdrój
chosen
Duszniki-Zdrój is a historic spa town in southwestern Poland, renowned for its mineral springs and picturesque mountain setting.
-
B.
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.
-
C.
Krynica-Zdrój
Krynica-Zdrój is a well-known Polish spa and resort town in the Beskid Sądecki mountains, famed for its mineral springs and health tourism.
-
D.
Kudowa-Zdrój
Kudowa-Zdrój is a historic spa town in southwestern Poland, renowned for its mineral springs, health resorts, and picturesque setting near the Czech border.
-
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 (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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cfebb6c8190af3296c7bfd8b3e4 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.