Triple

T12186075
Position Surface form Disambiguated ID Type / Status
Subject World Database on Protected Areas E290336 entity
Predicate relatedTo P37 FINISHED
Object Global Database on Protected Areas Management Effectiveness
The Global Database on Protected Areas Management Effectiveness is an international repository that compiles and tracks assessments of how effectively the world’s protected areas are being managed and governed.
E967738 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: Global Database on Protected Areas Management Effectiveness | Statement: [World Database on Protected Areas, relatedTo, Global Database on Protected Areas Management Effectiveness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Global Database on Protected Areas Management Effectiveness
Context triple: [World Database on Protected Areas, relatedTo, Global Database on Protected Areas Management Effectiveness]
  • A. World Database on Protected Areas
    The World Database on Protected Areas is a comprehensive global database that compiles and provides information on officially designated protected areas worldwide for conservation planning, monitoring, and policy-making.
  • B. Cooperative Management and Protection Areas
    Cooperative Management and Protection Areas are specially designated public lands in the United States managed through collaborative partnerships to conserve natural, cultural, and recreational resources while allowing compatible uses.
  • C. IUCN protected area categories I–VI
    IUCN protected area categories I–VI are a globally recognized system that classifies protected areas into six types based on their primary conservation objectives and management approaches.
  • D. National Integrated Protected Areas System
    The National Integrated Protected Areas System is the Philippines’ framework for designating, managing, and conserving a nationwide network of protected areas, including national parks, wildlife sanctuaries, and other ecologically important sites.
  • E. United States protected areas system
    The United States protected areas system is the nationwide network of federally, state, tribal, and locally managed lands and waters conserved for their natural, cultural, recreational, and historical values.
  • 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: Global Database on Protected Areas Management Effectiveness
Triple: [World Database on Protected Areas, relatedTo, Global Database on Protected Areas Management Effectiveness]
Generated description
The Global Database on Protected Areas Management Effectiveness is an international repository that compiles and tracks assessments of how effectively the world’s protected areas are being managed and governed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Global Database on Protected Areas Management Effectiveness
Target entity description: The Global Database on Protected Areas Management Effectiveness is an international repository that compiles and tracks assessments of how effectively the world’s protected areas are being managed and governed.
  • A. World Database on Protected Areas
    The World Database on Protected Areas is a comprehensive global database that compiles and provides information on officially designated protected areas worldwide for conservation planning, monitoring, and policy-making.
  • B. Cooperative Management and Protection Areas
    Cooperative Management and Protection Areas are specially designated public lands in the United States managed through collaborative partnerships to conserve natural, cultural, and recreational resources while allowing compatible uses.
  • C. IUCN protected area categories I–VI
    IUCN protected area categories I–VI are a globally recognized system that classifies protected areas into six types based on their primary conservation objectives and management approaches.
  • D. National Integrated Protected Areas System
    The National Integrated Protected Areas System is the Philippines’ framework for designating, managing, and conserving a nationwide network of protected areas, including national parks, wildlife sanctuaries, and other ecologically important sites.
  • E. United States protected areas system
    The United States protected areas system is the nationwide network of federally, state, tribal, and locally managed lands and waters conserved for their natural, cultural, recreational, and historical values.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.