Triple
T20671603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Busko-Zdrój |
E508037
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Busko-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: Busko-Zdrój | Statement: [Gmina Busko-Zdrój, hasAdministrativeCenter, Busko-Zdrój]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busko-Zdrój Context triple: [Gmina Busko-Zdrój, hasAdministrativeCenter, Busko-Zdrój]
-
A.
Busko-Zdrój
chosen
Busko-Zdrój is a Polish spa town renowned for its therapeutic mineral waters and health resorts.
-
B.
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.
-
C.
Żoliborz
Żoliborz is a residential district in northern Warsaw, Poland, known for its interwar modernist architecture, green spaces, and quiet, upscale character.
-
D.
Bujaków
Bujaków is a district and former village that is now part of the town of Mikołów in southern Poland.
-
E.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c92aa8819096fbe0ca5101d01b |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.