Triple
T6145417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunajec River Gorge |
E137061
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Szczawnica |
E304194
|
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: Szczawnica | Statement: [Dunajec River Gorge, nearestTown, Szczawnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szczawnica Context triple: [Dunajec River Gorge, nearestTown, Szczawnica]
-
A.
Szczawnica
chosen
Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
-
B.
Szczucin
Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
-
C.
Szczecinek
Szczecinek is a town in northwestern Poland known for its lakeside setting, historic architecture, and role as a local economic and cultural center in the West Pomeranian Voivodeship.
-
D.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdd2dc0819080a4adf0cead3603 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88013b58819098bb60188fee1465 |
completed | April 2, 2026, 3:15 p.m. |
Created at: March 22, 2026, 4:16 p.m.