Triple

T19772205
Position Surface form Disambiguated ID Type / Status
Subject Granta Park, Great Abington, Cambridge, United Kingdom E474913 entity
Predicate partOf P40 FINISHED
Object Cambridge science and technology cluster
The Cambridge science and technology cluster is a globally renowned innovation ecosystem around Cambridge, UK, comprising research institutions, high-tech companies, and science parks specializing in fields such as biotechnology, software, and advanced engineering.
E94351 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 science and technology cluster | Statement: [Granta Park, Great Abington, Cambridge, United Kingdom, partOf, Cambridge science and technology cluster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge science and technology cluster
Context triple: [Granta Park, Great Abington, Cambridge, United Kingdom, partOf, Cambridge science and technology cluster]
  • A. Cambridge Science Park
    Cambridge Science Park is a major research and technology hub in Cambridge, England, hosting numerous high-tech companies and startups within the broader Silicon Fen cluster.
  • B. Cambridge technology centre
    Cambridge Technology Centre is a major research and development facility of The Welding Institute in Cambridge, focused on advanced welding, joining, and materials engineering technologies.
  • C. 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.
  • D. Cambridge research centres
    Cambridge research centres are specialized academic and scientific institutes affiliated with the University of Cambridge that conduct advanced research across a wide range of disciplines.
  • E. Cambridge Enterprise
    Cambridge Enterprise is the University of Cambridge’s commercialization arm that supports the translation of research and innovation—especially in life sciences—into spin-outs, licenses, and industry partnerships.
  • 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 science and technology cluster
Triple: [Granta Park, Great Abington, Cambridge, United Kingdom, partOf, Cambridge science and technology cluster]
Generated description
The Cambridge science and technology cluster is a globally renowned innovation ecosystem around Cambridge, UK, comprising research institutions, high-tech companies, and science parks specializing in fields such as biotechnology, software, and advanced engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cambridge science and technology cluster
Target entity description: The Cambridge science and technology cluster is a globally renowned innovation ecosystem around Cambridge, UK, comprising research institutions, high-tech companies, and science parks specializing in fields such as biotechnology, software, and advanced engineering.
  • A. Cambridge Science Park
    Cambridge Science Park is a major research and technology hub in Cambridge, England, hosting numerous high-tech companies and startups within the broader Silicon Fen cluster.
  • B. Cambridge technology centre
    Cambridge Technology Centre is a major research and development facility of The Welding Institute in Cambridge, focused on advanced welding, joining, and materials engineering technologies.
  • C. Cambridge life sciences ecosystem chosen
    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.
  • D. Cambridge research centres
    Cambridge research centres are specialized academic and scientific institutes affiliated with the University of Cambridge that conduct advanced research across a wide range of disciplines.
  • E. Cambridge Enterprise
    Cambridge Enterprise is the University of Cambridge’s commercialization arm that supports the translation of research and innovation—especially in life sciences—into spin-outs, licenses, and industry partnerships.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd74937081908b81d144aa89c5f3 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed9c62c819088d8e32f92b3b147 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.