Triple
T5734471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazimierza Wielka |
E126465
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Busko-Zdrój |
E119672
|
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: Busko-Zdrój | Statement: [Kazimierza Wielka, nearbyCity, Busko-Zdrój]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busko-Zdrój Context triple: [Kazimierza Wielka, nearbyCity, 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.
Bujaków
Bujaków is a district and former village that is now part of the town of Mikołów in southern Poland.
-
D.
Krosno
Krosno is a historic town in southeastern Poland known for its glassmaking industry and well-preserved old town.
-
E.
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.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02536706c8190a69665b75c8a38e9 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e05a7e08190a79fb43aefdbea6b |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:47 p.m.