Triple
T3252922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biała Przemsza |
E68224
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object |
Przemsza
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.
|
E341883
|
NE FINISHED |
How this triple was built (4 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: Przemsza | Statement: [Biała Przemsza, tributaryOf, Przemsza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Przemsza Context triple: [Biała Przemsza, tributaryOf, Przemsza]
-
A.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
D.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Przemsza Triple: [Biała Przemsza, tributaryOf, Przemsza]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Przemsza Target entity description: 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.
-
A.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
D.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
- F. None of above. chosen
Provenance (5 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf440bb88190a2450405afae7f1f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ec4375881908d7f22ef4a80b60c |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28fbaa3048190b42991ede51c6ca8 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ab2315ec8190b27da4e41696a7e3 |
completed | March 12, 2026, 12:01 p.m. |
Created at: March 8, 2026, 3:09 p.m.