Triple
T6613194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian Voivodeship |
E149284
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Czarna Przemsza |
E341883
|
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: Czarna Przemsza | Statement: [Silesian Voivodeship, containsRiver, Czarna Przemsza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarna Przemsza Context triple: [Silesian Voivodeship, containsRiver, Czarna Przemsza]
-
A.
Czarny Groń
Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
-
B.
Czeladź
Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
-
C.
Przemsza
chosen
Przemsza is a river in southern Poland formed by the confluence of the Black and White Przemsza, known historically as a regional border and an important tributary of the Vistula.
-
D.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
E.
Ciecień
Ciecień is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee61df88190b3772e4756670b8f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:57 p.m.