Triple

T8956091
Position Surface form Disambiguated ID Type / Status
Subject Representative Concentration Pathways E213474 entity
Predicate coordinatedBy P86 FINISHED
Object Integrated Assessment Modeling Consortium
The Integrated Assessment Modeling Consortium is an international network of research teams that develop and compare models linking climate, energy, economy, and land-use systems to inform global climate policy and scenario analysis.
E767432 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: Integrated Assessment Modeling Consortium | Statement: [Representative Concentration Pathways, coordinatedBy, Integrated Assessment Modeling Consortium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Integrated Assessment Modeling Consortium
Context triple: [Representative Concentration Pathways, coordinatedBy, Integrated Assessment Modeling Consortium]
  • A. MIT Joint Program on the Science and Policy of Global Change
    The MIT Joint Program on the Science and Policy of Global Change is a multidisciplinary research initiative that integrates climate science, economics, and policy analysis to inform strategies for addressing global environmental and climate challenges.
  • B. Integrated Assessment and Planning Team
    The Integrated Assessment and Planning Team is a specialized unit within the UN Department of Peace Operations that supports the design, coordination, and strategic planning of peace operations and related field missions.
  • C. Center for Global Change Science
    The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
  • D. Earth System Model Development
    Earth System Model Development is a research program focused on advancing comprehensive computer models that simulate the coupled atmosphere, ocean, land, ice, and biogeochemical processes of the Earth’s climate system.
  • E. Centre for Modelling and Analysis
    The Centre for Modelling and Analysis is a research unit within Norway’s public health system that develops and applies mathematical and statistical models to inform health policy and disease control.
  • 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: Integrated Assessment Modeling Consortium
Triple: [Representative Concentration Pathways, coordinatedBy, Integrated Assessment Modeling Consortium]
Generated description
The Integrated Assessment Modeling Consortium is an international network of research teams that develop and compare models linking climate, energy, economy, and land-use systems to inform global climate policy and scenario analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Integrated Assessment Modeling Consortium
Target entity description: The Integrated Assessment Modeling Consortium is an international network of research teams that develop and compare models linking climate, energy, economy, and land-use systems to inform global climate policy and scenario analysis.
  • A. MIT Joint Program on the Science and Policy of Global Change
    The MIT Joint Program on the Science and Policy of Global Change is a multidisciplinary research initiative that integrates climate science, economics, and policy analysis to inform strategies for addressing global environmental and climate challenges.
  • B. Integrated Assessment and Planning Team
    The Integrated Assessment and Planning Team is a specialized unit within the UN Department of Peace Operations that supports the design, coordination, and strategic planning of peace operations and related field missions.
  • C. Center for Global Change Science
    The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
  • D. Earth System Model Development
    Earth System Model Development is a research program focused on advancing comprehensive computer models that simulate the coupled atmosphere, ocean, land, ice, and biogeochemical processes of the Earth’s climate system.
  • E. Centre for Modelling and Analysis
    The Centre for Modelling and Analysis is a research unit within Norway’s public health system that develops and applies mathematical and statistical models to inform health policy and disease control.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc216ff2c819098056dff0de9479f completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc39465c48190811f56918fe48526 completed April 3, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3e6694c8190a03eb55a5b04df52 completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.