Triple
T21914668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Dwikozy |
E541152
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Rzeczyca Mokra |
—
|
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: Rzeczyca Mokra | Statement: [Gmina Dwikozy, hasSettlement, Rzeczyca Mokra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rzeczyca Mokra Context triple: [Gmina Dwikozy, hasSettlement, Rzeczyca Mokra]
-
A.
Rzeczyca Mokra
chosen
Rzeczyca Mokra is a village located in the administrative district of Gmina Sandomierz in south-eastern Poland.
-
B.
Krynica Morska
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
-
C.
Czarna Białostocka
Czarna Białostocka is a small town in north-eastern Poland, situated in the Podlaskie Voivodeship and known for its surrounding forests and proximity to the regional capital Białystok.
-
D.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
E.
Chojnik
Chojnik is a village in northern Poland located within the administrative district of Gmina Morąg in the Warmian-Masurian Voivodeship.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123366cb88190a42aa741e1245fd9 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:42 p.m.