Triple
T5652024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Institute of Public Health |
E124529
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Centre for Collaboration with Modelling Networks
The Centre for Collaboration with Modelling Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of mathematical and computational models to inform public health decision-making and policy.
|
E535544
|
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 Modelling Networks | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Modelling Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Modelling Networks Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Modelling Networks]
-
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.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
C.
Robert Bosch Centre for Data Science and Artificial Intelligence
The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
-
D.
Symbiosis Institute of Computer Studies and Research
Symbiosis Institute of Computer Studies and Research is a premier Indian institute offering undergraduate and postgraduate programs in computer science and information technology, known for its industry-oriented curriculum and affiliation with Symbiosis International University.
-
E.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
- 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 Modelling Networks Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Modelling Networks]
Generated description
The Centre for Collaboration with Modelling Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of mathematical and computational models to inform public health decision-making and policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Modelling Networks Target entity description: The Centre for Collaboration with Modelling Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of mathematical and computational models to inform public health decision-making and policy.
-
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.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
C.
Robert Bosch Centre for Data Science and Artificial Intelligence
The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
-
D.
Symbiosis Institute of Computer Studies and Research
Symbiosis Institute of Computer Studies and Research is a premier Indian institute offering undergraduate and postgraduate programs in computer science and information technology, known for its industry-oriented curriculum and affiliation with Symbiosis International University.
-
E.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
- 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.