Triple

T5652070
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Institute of Public Health E124529 entity
Predicate hasPart P35 FINISHED
Object Centre for Collaboration with Collaboration Networks
The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
E537514 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 Collaboration Networks | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Collaboration Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Collaboration Networks
Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Collaboration Networks]
  • A. Mutual Network
    Mutual Network was a major American radio network that operated throughout much of the 20th century, known for its news, entertainment programs, and nationwide affiliates.
  • B. 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.
  • C. Doctoral Networks
    Doctoral Networks are European Union–funded collaborative doctoral training programs under the Marie Skłodowska‑Curie Actions that support international, interdisciplinary, and intersectoral PhD research and training.
  • D. Dowling Review of Business–University Research Collaborations
    The Dowling Review of Business–University Research Collaborations is an influential report led by engineer Ann Dowling that examines how to strengthen partnerships between UK businesses and universities to drive innovation and economic growth.
  • E. Global Open Knowledgebase (GOKb) collaboration
    The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
  • 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 Collaboration Networks
Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Collaboration Networks]
Generated description
The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Collaboration Networks
Target entity description: The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
  • A. Mutual Network
    Mutual Network was a major American radio network that operated throughout much of the 20th century, known for its news, entertainment programs, and nationwide affiliates.
  • B. 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.
  • C. Doctoral Networks
    Doctoral Networks are European Union–funded collaborative doctoral training programs under the Marie Skłodowska‑Curie Actions that support international, interdisciplinary, and intersectoral PhD research and training.
  • D. Dowling Review of Business–University Research Collaborations
    The Dowling Review of Business–University Research Collaborations is an influential report led by engineer Ann Dowling that examines how to strengthen partnerships between UK businesses and universities to drive innovation and economic growth.
  • E. Global Open Knowledgebase (GOKb) collaboration
    The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
  • 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_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.