Triple

T5652021
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Institute of Public Health E124529 entity
Predicate hasPart P35 FINISHED
Object Centre for Collaboration with Laboratory Networks
The Centre for Collaboration with Laboratory Networks is a specialized unit within Norway’s public health system that coordinates and strengthens cooperation among medical and public health laboratories to improve disease surveillance, diagnostics, and response.
E535541 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 Collaboration with Laboratory Networks | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Laboratory Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Laboratory Networks
Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Laboratory Networks]
  • A. World Health Organization collaborating institutions network
    The World Health Organization collaborating institutions network is a global system of designated research and training centers that support WHO’s public health mission through expertise, data, and technical cooperation.
  • B. National Center for Research Resources clinical and translational programs
    The National Center for Research Resources clinical and translational programs were NIH initiatives that supported infrastructure and resources to accelerate the translation of laboratory discoveries into clinical applications and improved patient care.
  • C. Yale Center for High Throughput Cell Biology
    The Yale Center for High Throughput Cell Biology is a research center specializing in large-scale, automated cellular analysis and imaging to advance biomedical discovery.
  • D. Centre for Cancer Research and Cell Biology
    The Centre for Cancer Research and Cell Biology is a major research institute at Queen’s University Belfast dedicated to advancing understanding of cancer biology and developing improved diagnostics and treatments.
  • E. Centre for Cancer Biomarkers
    The Centre for Cancer Biomarkers is a research center focused on discovering, validating, and applying biomarkers to improve the diagnosis, prognosis, and treatment of cancer.
  • 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 Collaboration with Laboratory Networks
Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Laboratory Networks]
Generated description
The Centre for Collaboration with Laboratory Networks is a specialized unit within Norway’s public health system that coordinates and strengthens cooperation among medical and public health laboratories to improve disease surveillance, diagnostics, and response.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Laboratory Networks
Target entity description: The Centre for Collaboration with Laboratory Networks is a specialized unit within Norway’s public health system that coordinates and strengthens cooperation among medical and public health laboratories to improve disease surveillance, diagnostics, and response.
  • A. World Health Organization collaborating institutions network
    The World Health Organization collaborating institutions network is a global system of designated research and training centers that support WHO’s public health mission through expertise, data, and technical cooperation.
  • B. National Center for Research Resources clinical and translational programs
    The National Center for Research Resources clinical and translational programs were NIH initiatives that supported infrastructure and resources to accelerate the translation of laboratory discoveries into clinical applications and improved patient care.
  • C. Yale Center for High Throughput Cell Biology
    The Yale Center for High Throughput Cell Biology is a research center specializing in large-scale, automated cellular analysis and imaging to advance biomedical discovery.
  • D. Centre for Cancer Research and Cell Biology
    The Centre for Cancer Research and Cell Biology is a major research institute at Queen’s University Belfast dedicated to advancing understanding of cancer biology and developing improved diagnostics and treatments.
  • E. Centre for Cancer Biomarkers
    The Centre for Cancer Biomarkers is a research center focused on discovering, validating, and applying biomarkers to improve the diagnosis, prognosis, and treatment of cancer.
  • 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.