Triple
T7453625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Mathematical and Physical Sciences |
E172065
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
UCL Institute for Risk and Disaster Reduction
The UCL Institute for Risk and Disaster Reduction is a multidisciplinary research and teaching centre at University College London focused on understanding, assessing, and reducing risks from natural and human-made disasters worldwide.
|
E665202
|
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: UCL Institute for Risk and Disaster Reduction | Statement: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Institute for Risk and Disaster Reduction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCL Institute for Risk and Disaster Reduction Context triple: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Institute for Risk and Disaster Reduction]
-
A.
UCL Institute for Sustainable Resources
The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
-
B.
Cambridge Centre for Risk Studies
The Cambridge Centre for Risk Studies is a research institution at the University of Cambridge that focuses on analyzing and modeling global systemic risks to support better decision-making for businesses and policymakers.
-
C.
University College London
University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
-
D.
International Research Institute of Disaster Science
The International Research Institute of Disaster Science is a specialized research center at Tohoku University in Japan that focuses on advancing interdisciplinary studies and technologies for disaster risk reduction and resilience.
-
E.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
- 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: UCL Institute for Risk and Disaster Reduction Triple: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Institute for Risk and Disaster Reduction]
Generated description
The UCL Institute for Risk and Disaster Reduction is a multidisciplinary research and teaching centre at University College London focused on understanding, assessing, and reducing risks from natural and human-made disasters worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCL Institute for Risk and Disaster Reduction Target entity description: The UCL Institute for Risk and Disaster Reduction is a multidisciplinary research and teaching centre at University College London focused on understanding, assessing, and reducing risks from natural and human-made disasters worldwide.
-
A.
UCL Institute for Sustainable Resources
The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
-
B.
Cambridge Centre for Risk Studies
The Cambridge Centre for Risk Studies is a research institution at the University of Cambridge that focuses on analyzing and modeling global systemic risks to support better decision-making for businesses and policymakers.
-
C.
University College London
University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
-
D.
International Research Institute of Disaster Science
The International Research Institute of Disaster Science is a specialized research center at Tohoku University in Japan that focuses on advancing interdisciplinary studies and technologies for disaster risk reduction and resilience.
-
E.
Oxford Martin School
The Oxford Martin School is a multidisciplinary research institute at the University of Oxford focused on tackling global challenges and shaping the future through long-term, cross-cutting scholarship.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3ac5c2081908ab03f8bd4586f94 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c8290c62d0819080a1e1820364da88 |
completed | March 28, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82958eddc8190ad1697969241ec39 |
completed | March 28, 2026, 7:17 p.m. |
Created at: March 27, 2026, 3:14 p.m.