Triple

T5651884
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Institute of Public Health E124529 entity
Predicate hasPart P35 FINISHED
Object 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.
E535422 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: Centre for Modelling and Analysis | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Modelling and Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for Modelling and Analysis
Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Modelling and Analysis]
  • A. Centre for Modeling and Simulation
    The Centre for Modeling and Simulation is an interdisciplinary academic and research unit specializing in computational science, modeling, and simulation across science and engineering domains.
  • B. Earth Sciences Centre
    The Earth Sciences Centre is an academic and research facility dedicated to geology and related earth science disciplines, located on the St. George campus of the University of Toronto.
  • C. National Centre for Atmospheric Science
    The National Centre for Atmospheric Science is a UK research organisation that conducts advanced studies and provides national capability in weather, climate, and atmospheric science.
  • D. Centre for Operational Research and Logistics
    The Centre for Operational Research and Logistics is a research unit at the University of Portsmouth focused on applying advanced analytical, mathematical, and computational methods to improve decision-making and efficiency in complex logistical and operational systems.
  • E. Global Modeling and Assimilation Office
    The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
  • 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: Centre for Modelling and Analysis
Triple: [Norwegian Institute of Public Health, hasPart, Centre for Modelling and Analysis]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for Modelling and Analysis
Target entity description: 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.
  • A. Centre for Modeling and Simulation
    The Centre for Modeling and Simulation is an interdisciplinary academic and research unit specializing in computational science, modeling, and simulation across science and engineering domains.
  • B. Earth Sciences Centre
    The Earth Sciences Centre is an academic and research facility dedicated to geology and related earth science disciplines, located on the St. George campus of the University of Toronto.
  • C. National Centre for Atmospheric Science
    The National Centre for Atmospheric Science is a UK research organisation that conducts advanced studies and provides national capability in weather, climate, and atmospheric science.
  • D. Centre for Operational Research and Logistics
    The Centre for Operational Research and Logistics is a research unit at the University of Portsmouth focused on applying advanced analytical, mathematical, and computational methods to improve decision-making and efficiency in complex logistical and operational systems.
  • E. Global Modeling and Assimilation Office
    The Global Modeling and Assimilation Office is a NASA research organization that develops and operates advanced Earth system models and data assimilation systems to support weather, climate, and atmospheric research and forecasting.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d6af9481909eaeead2a39525ce completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d941ea4819084bab644d6cc2153 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edcc0208190bd69b5cce89596f9 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff814b88190ad01844ae2629c6e completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:42 p.m.