Triple
T3554610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Portsmouth |
E75188
|
entity |
| Predicate | hasResearchCentre |
P11730
|
FINISHED |
| Object |
Centre for Operational Research and Logistics
The Centre for Operational Research and Logistics is a research unit at the University of Portsmouth focused on applying advanced analytical, mathematical, and computational methods to improve decision-making and efficiency in complex logistical and operational systems.
|
E368465
|
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 Operational Research and Logistics | Statement: [University of Portsmouth, hasResearchCentre, Centre for Operational Research and Logistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Operational Research and Logistics Context triple: [University of Portsmouth, hasResearchCentre, Centre for Operational Research and Logistics]
-
A.
Logistics Institute
The Logistics Institute is a research center at the University of Hull specializing in logistics, supply chain management, and related transport and distribution studies.
-
B.
operations research
Operations research is an applied mathematical discipline that uses advanced analytical methods such as optimization, statistics, and modeling to support decision-making and improve the efficiency of complex systems in fields like logistics, finance, and engineering.
-
C.
Centre for Business Research
The Centre for Business Research is a research institute at the University of Cambridge that focuses on the study of enterprise, innovation, and economic performance, particularly in relation to policy and business practice.
-
D.
Technical Committee on Automation in Logistics
The Technical Committee on Automation in Logistics is a specialized IEEE Robotics and Automation Society group that advances research, standards, and applications of robotics and automation technologies in logistics and supply chain systems.
-
E.
Operations Research
Operations Research is a leading peer-reviewed academic journal that publishes advanced research on the theory and application of analytical methods to decision-making and optimization in complex systems.
- 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 Operational Research and Logistics Triple: [University of Portsmouth, hasResearchCentre, Centre for Operational Research and Logistics]
Generated description
The Centre for Operational Research and Logistics is a research unit at the University of Portsmouth focused on applying advanced analytical, mathematical, and computational methods to improve decision-making and efficiency in complex logistical and operational systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Operational Research and Logistics Target entity description: The Centre for Operational Research and Logistics is a research unit at the University of Portsmouth focused on applying advanced analytical, mathematical, and computational methods to improve decision-making and efficiency in complex logistical and operational systems.
-
A.
Logistics Institute
The Logistics Institute is a research center at the University of Hull specializing in logistics, supply chain management, and related transport and distribution studies.
-
B.
operations research
Operations research is an applied mathematical discipline that uses advanced analytical methods such as optimization, statistics, and modeling to support decision-making and improve the efficiency of complex systems in fields like logistics, finance, and engineering.
-
C.
Centre for Business Research
The Centre for Business Research is a research institute at the University of Cambridge that focuses on the study of enterprise, innovation, and economic performance, particularly in relation to policy and business practice.
-
D.
Technical Committee on Automation in Logistics
The Technical Committee on Automation in Logistics is a specialized IEEE Robotics and Automation Society group that advances research, standards, and applications of robotics and automation technologies in logistics and supply chain systems.
-
E.
Operations Research
Operations Research is a leading peer-reviewed academic journal that publishes advanced research on the theory and application of analytical methods to decision-making and optimization in complex systems.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05549d88190acdebdd542ea1a67 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bf1c3e881908e7fc3b4df24e72b |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b3b33409788190bdb164bef3ae1bd3 |
completed | March 13, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3b3ade7ac819095f007f053766852 |
completed | March 13, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:20 p.m.