Triple
T16988489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copernicus Emergency Management Service |
E412130
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Risk and Recovery Mapping
Risk and Recovery Mapping is a Copernicus Emergency Management Service component that provides geospatial analyses and mapping to support disaster risk assessment, preparedness, and post-event recovery planning.
|
E1244946
|
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: Risk and Recovery Mapping | Statement: [Copernicus Emergency Management Service, hasComponent, Risk and Recovery Mapping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Risk and Recovery Mapping Context triple: [Copernicus Emergency Management Service, hasComponent, Risk and Recovery Mapping]
-
A.
CERT Resilience Management Model
The CERT Resilience Management Model is a framework developed by the Software Engineering Institute to help organizations systematically manage and improve their operational resilience, cybersecurity, and business continuity practices.
-
B.
Centre for Collaboration with Contingency Planning Networks
The Centre for Collaboration with Contingency Planning Networks is a specialized unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships for emergency preparedness and response.
-
C.
Regional Platforms for Disaster Risk Reduction
Regional Platforms for Disaster Risk Reduction are UN-supported multi-stakeholder forums in different world regions that coordinate and advance policies, strategies, and cooperation to reduce disaster risks and build resilience.
-
D.
Global Platform for Disaster Risk Reduction
The Global Platform for Disaster Risk Reduction is a biennial multi-stakeholder forum that serves as the main global venue for assessing progress, sharing knowledge, and setting priorities in reducing disaster risk and building resilience.
-
E.
National Disaster Recovery Framework
The National Disaster Recovery Framework is a U.S. guidance document that outlines principles, roles, and coordinating structures to support effective, collaborative recovery from major disasters and emergencies.
- 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: Risk and Recovery Mapping Triple: [Copernicus Emergency Management Service, hasComponent, Risk and Recovery Mapping]
Generated description
Risk and Recovery Mapping is a Copernicus Emergency Management Service component that provides geospatial analyses and mapping to support disaster risk assessment, preparedness, and post-event recovery planning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Risk and Recovery Mapping Target entity description: Risk and Recovery Mapping is a Copernicus Emergency Management Service component that provides geospatial analyses and mapping to support disaster risk assessment, preparedness, and post-event recovery planning.
-
A.
CERT Resilience Management Model
The CERT Resilience Management Model is a framework developed by the Software Engineering Institute to help organizations systematically manage and improve their operational resilience, cybersecurity, and business continuity practices.
-
B.
Centre for Collaboration with Contingency Planning Networks
The Centre for Collaboration with Contingency Planning Networks is a specialized unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships for emergency preparedness and response.
-
C.
Regional Platforms for Disaster Risk Reduction
Regional Platforms for Disaster Risk Reduction are UN-supported multi-stakeholder forums in different world regions that coordinate and advance policies, strategies, and cooperation to reduce disaster risks and build resilience.
-
D.
Global Platform for Disaster Risk Reduction
The Global Platform for Disaster Risk Reduction is a biennial multi-stakeholder forum that serves as the main global venue for assessing progress, sharing knowledge, and setting priorities in reducing disaster risk and building resilience.
-
E.
National Disaster Recovery Framework
The National Disaster Recovery Framework is a U.S. guidance document that outlines principles, roles, and coordinating structures to support effective, collaborative recovery from major disasters and emergencies.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27dca248190a9b73b16439d5631 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc12e308819093e7f8933cdd6ba9 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c967b0819088e2335fd45d755b |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.