risk
P9984
predicate
Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
All labels observed (6)
| Label | Occurrences |
|---|---|
| risk canonical | 1,471 |
| risked | 45 |
| riskExposure | 18 |
| riskFaced | 8 |
| confusionRisk | 1 |
| riskConsideration | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: risk
Generated description
Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
Sample triples (1,544)
| Subject | Object |
|---|---|
| Ambien | withdrawal symptoms ⓘ |
| The Ring of Rassilon | corruption of the wearer ⓘ |
| The Ring of Rassilon | death of the wearer ⓘ |
| Operation Upshot–Knothole | radioactive fallout exposure to downwind populations ⓘ |
| Princeton architecture | code and data corruption if not protected ⓘ |
| mixed short track speed skating relay | collisions ⓘ |
| mixed short track speed skating relay | falls ⓘ |
| Kent Valley | flooding ⓘ |
| Fairy Meadows | altitude sickness for some visitors ⓘ |
| Fairy Meadows | landslides on access road ⓘ |
| Cudjoe Key | tropical storms ⓘ |
| Cudjoe Key | hurricanes ⓘ |
| The Coronet of Rassilon | corrupting or overwhelming weaker minds ⓘ |
| The Coronet of Rassilon | being exploited for political domination ⓘ |
| Atlantic coast of North Carolina | coastal erosion ⓘ |
| Atlantic coast of North Carolina | storm surge ⓘ |
| Atlantic coast of North Carolina | sea level rise ⓘ |
| Road of Life across Lake Ladoga | thin ice ⓘ |
| Road of Life across Lake Ladoga | extreme cold ⓘ |
| Atropa | can cause fatal poisoning in humans ⓘ |
| Atropa | toxic to livestock ⓘ |
| Yungay | high seismic risk area ⓘ |
| Yungay | susceptible to avalanches ⓘ |
| Ecballium elaterium | severe irritation of mucous membranes ⓘ |
| Ecballium elaterium | gastrointestinal inflammation ⓘ |
| Ecballium elaterium | potentially fatal poisoning ⓘ |
| Jampur | flooding ⓘ |
| Water Maze | getting wet ⓘ |
| Prepositioning Program | vulnerability of prepositioned stocks to regional threats ⓘ |
| Operation Aqueduct | radioactive contamination ⓘ |
| Operation Aqueduct | environmental impact ⓘ |
| Operation Aqueduct | health hazards from radiation ⓘ |
| Rivierenland | river flooding ⓘ |
| Nam Ou 2 Dam | sediment trapping ⓘ |
| Nam Ou 2 Dam | downstream flow alteration ⓘ |
| Nam Ou 2 Dam | biodiversity loss ⓘ |
| Talisay, Batangas | exposure to volcanic hazards from Taal Volcano ⓘ |
| Vesuvius area | volcanic eruptions ⓘ |
| Vesuvius area | pyroclastic flows ⓘ |
| Vesuvius area | ash fall ⓘ |
| Bailong River | flooding ⓘ |
| Bailong River | landslide-related disasters ⓘ |
| Bartang River | landslides ⓘ |
| Bartang River | seasonal flooding ⓘ |
| Will Salas | death when time reaches zero ⓘ |
| Cicuta virosa | often mistaken for edible plants ⓘ |
| Umpqua Hot Springs area | slippery surfaces ⓘ |
| Umpqua Hot Springs area | high use impacts on environment ⓘ |
| Ptolemaida lignite basin | economic decline due to coal phase-out ⓘ |
| Pastinaca sativa | can cause phytophotodermatitis from sap exposure ⓘ |