Triple
T7913585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brda River |
E183759
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object |
Bydgoszcz weirs
Bydgoszcz weirs are a system of hydraulic structures in Bydgoszcz, Poland, used to regulate water levels and flow along the Brda River within the city.
|
E696809
|
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: Bydgoszcz weirs | Statement: [Brda River, hasStructure, Bydgoszcz weirs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bydgoszcz weirs Context triple: [Brda River, hasStructure, Bydgoszcz weirs]
-
A.
Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
B.
Wawer
Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
-
C.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
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.
Port of Elbląg
The Port of Elbląg is a regional seaport and transport hub on the Elbląg River near the Vistula Lagoon, serving cargo, passenger, and recreational traffic in northern Poland.
- 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: Bydgoszcz weirs Triple: [Brda River, hasStructure, Bydgoszcz weirs]
Generated description
Bydgoszcz weirs are a system of hydraulic structures in Bydgoszcz, Poland, used to regulate water levels and flow along the Brda River within the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bydgoszcz weirs Target entity description: Bydgoszcz weirs are a system of hydraulic structures in Bydgoszcz, Poland, used to regulate water levels and flow along the Brda River within the city.
-
A.
Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
B.
Wawer
Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
-
C.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
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.
Port of Elbląg
The Port of Elbląg is a regional seaport and transport hub on the Elbląg River near the Vistula Lagoon, serving cargo, passenger, and recreational traffic in northern Poland.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f20eb3c81909e059d5a02263aa2 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76bb9a308190a9d7b34838d696db |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:04 p.m.