Triple
T14569901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Przemsza |
E341883
|
entity |
| Predicate | formedByConfluenceOf |
P402
|
FINISHED |
| Object | Black Przemsza |
E1083680
|
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: Black Przemsza | Statement: [Przemsza, formedByConfluenceOf, Black Przemsza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Przemsza Context triple: [Przemsza, formedByConfluenceOf, Black Przemsza]
-
A.
Czarnca
Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
-
B.
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.
-
C.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
D.
Ruda
chosen
Ruda is a river in southern Poland that flows through the Silesian region, including the city of Rybnik.
-
E.
Praszka
Praszka is a small town in southwestern Poland known for its location in the Opole region and its local industrial and cultural activities.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f2121481908f2385637944785d |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac858108190b7c90130f18b0ddb |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.