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.