Triple
T5652125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Institute of Public Health |
E124529
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Centre for Collaboration with Systems for Health Communications Networks
The Centre for Collaboration with Systems for Health Communications Networks is a specialized unit within Norway’s public health sector that focuses on improving and coordinating digital communication and information systems for healthcare.
|
E537525
|
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 Systems for Health Communications Networks | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Communications Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Systems for Health Communications Networks Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Communications Networks]
-
A.
Information and Communication Systems Group
The Information and Communication Systems Group is a Mitsubishi Electric business division focused on developing and providing information technology and communication infrastructure solutions.
-
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.
Federal Centre for Health Education
The Federal Centre for Health Education is a German government agency responsible for nationwide public health promotion, prevention campaigns, and health education initiatives.
-
D.
STC on Communication and Information and Communication Technologies
The STC on Communication and Information and Communication Technologies is a specialized technical committee focused on developing, coordinating, and advising on policies and standards related to communication and information technologies.
-
E.
Center for Communicable Disease Dynamics
The Center for Communicable Disease Dynamics is a research center focused on understanding, modeling, and controlling infectious disease transmission and outbreaks.
- 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 Systems for Health Communications Networks Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Communications Networks]
Generated description
The Centre for Collaboration with Systems for Health Communications Networks is a specialized unit within Norway’s public health sector that focuses on improving and coordinating digital communication and information systems for healthcare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Systems for Health Communications Networks Target entity description: The Centre for Collaboration with Systems for Health Communications Networks is a specialized unit within Norway’s public health sector that focuses on improving and coordinating digital communication and information systems for healthcare.
-
A.
Information and Communication Systems Group
The Information and Communication Systems Group is a Mitsubishi Electric business division focused on developing and providing information technology and communication infrastructure solutions.
-
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.
Federal Centre for Health Education
The Federal Centre for Health Education is a German government agency responsible for nationwide public health promotion, prevention campaigns, and health education initiatives.
-
D.
STC on Communication and Information and Communication Technologies
The STC on Communication and Information and Communication Technologies is a specialized technical committee focused on developing, coordinating, and advising on policies and standards related to communication and information technologies.
-
E.
Center for Communicable Disease Dynamics
The Center for Communicable Disease Dynamics is a research center focused on understanding, modeling, and controlling infectious disease transmission and outbreaks.
- 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.