Triple
T399684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Technology, University of Cambridge |
E9251
|
entity |
| Predicate | oversees |
P46
|
FINISHED |
| Object |
Cambridge Centre for Smart Infrastructure and Construction
The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
|
E51733
|
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: Cambridge Centre for Smart Infrastructure and Construction | Statement: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambridge Centre for Smart Infrastructure and Construction Context triple: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
-
A.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
-
B.
Institute for Manufacturing, University of Cambridge
The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
-
C.
School of Technology, University of Cambridge
The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
-
D.
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.
-
E.
Department of Architecture, University of Cambridge
The Department of Architecture at the University of Cambridge is a leading academic center for architectural education and research, renowned for its rigorous design studio culture and contributions to architectural theory and practice.
- 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: Cambridge Centre for Smart Infrastructure and Construction Triple: [School of Technology, University of Cambridge, oversees, Cambridge Centre for Smart Infrastructure and Construction]
Generated description
The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cambridge Centre for Smart Infrastructure and Construction Target entity description: The Cambridge Centre for Smart Infrastructure and Construction is a research centre at the University of Cambridge focused on developing and applying innovative sensing, data, and digital technologies to improve the design, performance, and management of civil infrastructure and construction.
-
A.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
-
B.
Institute for Manufacturing, University of Cambridge
The Institute for Manufacturing at the University of Cambridge is a leading research and education centre focused on manufacturing, technology management, and industrial innovation.
-
C.
School of Technology, University of Cambridge
The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
-
D.
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.
-
E.
Department of Architecture, University of Cambridge
The Department of Architecture at the University of Cambridge is a leading academic center for architectural education and research, renowned for its rigorous design studio culture and contributions to architectural theory and practice.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41772e19c8190b02a212f13b4d8aa |
completed | March 1, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69a417d8d8ac8190b9e36238b7bd9132 |
completed | March 1, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4184c1b1c8190b728a2ef5cdc8346 |
completed | March 1, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.