Triple
T8094091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Park |
E188938
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Oxfordshire science and innovation ecosystem
The Oxfordshire science and innovation ecosystem is a leading UK cluster of research institutions, high-tech companies, and science parks that drives cutting-edge innovation in fields such as life sciences, space, and advanced engineering.
|
E415745
|
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: Oxfordshire science and innovation ecosystem | Statement: [Milton Park, partOf, Oxfordshire science and innovation ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxfordshire science and innovation ecosystem Context triple: [Milton Park, partOf, Oxfordshire science and innovation ecosystem]
-
A.
Cambridge life sciences ecosystem
The Cambridge life sciences ecosystem is a globally renowned cluster of research institutes, biotech companies, academic centers, and innovation hubs driving cutting-edge biomedical and life science research and commercialization in and around Cambridge, UK.
-
B.
UK Research and Innovation
UK Research and Innovation is the United Kingdom’s national funding agency that supports and coordinates research and innovation across multiple disciplines through its various councils and institutes.
-
C.
Begbroke Science Park
Begbroke Science Park is a research and innovation campus near Oxford that hosts high-tech companies and academic laboratories, particularly in science and engineering fields.
-
D.
Centre for Science, Technology and Innovation Policy
The Centre for Science, Technology and Innovation Policy is a research centre at the University of Cambridge that focuses on evidence-based analysis and design of policies to support science, technology development and innovation-led growth.
-
E.
Cambridge Biomedical Innovation Hub
The Cambridge Biomedical Innovation Hub is a major research and development center that drives translational biomedical innovation within Cambridge’s world-leading life sciences cluster.
- 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: Oxfordshire science and innovation ecosystem Triple: [Milton Park, partOf, Oxfordshire science and innovation ecosystem]
Generated description
The Oxfordshire science and innovation ecosystem is a leading UK cluster of research institutions, high-tech companies, and science parks that drives cutting-edge innovation in fields such as life sciences, space, and advanced engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oxfordshire science and innovation ecosystem Target entity description: The Oxfordshire science and innovation ecosystem is a leading UK cluster of research institutions, high-tech companies, and science parks that drives cutting-edge innovation in fields such as life sciences, space, and advanced engineering.
-
A.
Cambridge life sciences ecosystem
The Cambridge life sciences ecosystem is a globally renowned cluster of research institutes, biotech companies, academic centers, and innovation hubs driving cutting-edge biomedical and life science research and commercialization in and around Cambridge, UK.
-
B.
UK Research and Innovation
UK Research and Innovation is the United Kingdom’s national funding agency that supports and coordinates research and innovation across multiple disciplines through its various councils and institutes.
-
C.
Begbroke Science Park
chosen
Begbroke Science Park is a research and innovation campus near Oxford that hosts high-tech companies and academic laboratories, particularly in science and engineering fields.
-
D.
Centre for Science, Technology and Innovation Policy
The Centre for Science, Technology and Innovation Policy is a research centre at the University of Cambridge that focuses on evidence-based analysis and design of policies to support science, technology development and innovation-led growth.
-
E.
Cambridge Biomedical Innovation Hub
The Cambridge Biomedical Innovation Hub is a major research and development center that drives translational biomedical innovation within Cambridge’s world-leading life sciences cluster.
- F. None of above.
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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429089cc81909e4625f9cc7e305f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc64112138819096050975d707d8ee |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68647cec81909736383fbe73d2e8 |
completed | April 1, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69b93bbc8190be2338182dd57b17 |
completed | April 1, 2026, 12:41 a.m. |
Created at: March 30, 2026, 5:30 p.m.