Triple

T15589836
Position Surface form Disambiguated ID Type / Status
Subject Swiss National Science Foundation E374712 entity
Predicate policyInstrument P1652 FINISHED
Object National Centres of Competence in Research
The National Centres of Competence in Research are long-term, interdisciplinary research networks in Switzerland that consolidate expertise and infrastructure to address strategically important scientific and societal challenges.
E518059 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: National Centres of Competence in Research | Statement: [Swiss National Science Foundation, policyInstrument, National Centres of Competence in Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Centres of Competence in Research
Context triple: [Swiss National Science Foundation, policyInstrument, National Centres of Competence in Research]
  • A. Swiss National Science Foundation
    The Swiss National Science Foundation is Switzerland’s principal research funding organization, supporting scientific projects and researchers across all disciplines.
  • B. Centre for Collaboration with Research Networks
    The Centre for Collaboration with Research Networks is a unit within the Norwegian Institute of Public Health that supports, coordinates, and strengthens national and international research collaborations in public health.
  • C. Centre for Collaboration with Research Councils
    The Centre for Collaboration with Research Councils is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research funding bodies to support public health research.
  • D. Swiss Innovation Agency Innosuisse
    The Swiss Innovation Agency Innosuisse is the Swiss federal agency that promotes science-based innovation by supporting projects, startups, and knowledge transfer between research institutions and industry.
  • E. Swiss Federal Laboratories for Materials Science and Technology
    The Swiss Federal Laboratories for Materials Science and Technology (Empa) is a Swiss research institution focused on advanced materials, engineering, and technology development to support industry and public policy.
  • 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: National Centres of Competence in Research
Triple: [Swiss National Science Foundation, policyInstrument, National Centres of Competence in Research]
Generated description
The National Centres of Competence in Research are long-term, interdisciplinary research networks in Switzerland that consolidate expertise and infrastructure to address strategically important scientific and societal challenges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: National Centres of Competence in Research
Target entity description: The National Centres of Competence in Research are long-term, interdisciplinary research networks in Switzerland that consolidate expertise and infrastructure to address strategically important scientific and societal challenges.
  • A. Swiss National Science Foundation chosen
    The Swiss National Science Foundation is Switzerland’s principal research funding organization, supporting scientific projects and researchers across all disciplines.
  • B. Centre for Collaboration with Research Networks
    The Centre for Collaboration with Research Networks is a unit within the Norwegian Institute of Public Health that supports, coordinates, and strengthens national and international research collaborations in public health.
  • C. Centre for Collaboration with Research Councils
    The Centre for Collaboration with Research Councils is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research funding bodies to support public health research.
  • D. Swiss Innovation Agency Innosuisse
    The Swiss Innovation Agency Innosuisse is the Swiss federal agency that promotes science-based innovation by supporting projects, startups, and knowledge transfer between research institutions and industry.
  • E. Swiss Federal Laboratories for Materials Science and Technology
    The Swiss Federal Laboratories for Materials Science and Technology (Empa) is a Swiss research institution focused on advanced materials, engineering, and technology development to support industry and public policy.
  • F. None of above.

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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d5de6ec8190ab82ac78bb70a432 completed May 9, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff4dd868388190a159618c1fdcf15c completed May 9, 2026, 3:08 p.m.
Created at: April 10, 2026, 4:11 a.m.