Triple

T791075
Position Surface form Disambiguated ID Type / Status
Subject Babraham Research Campus E16914 entity
Predicate partOf P40 FINISHED
Object 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.
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 life sciences ecosystem | Statement: [Babraham Research Campus, partOf, Cambridge life sciences ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge life sciences ecosystem
Context triple: [Babraham Research Campus, partOf, Cambridge life sciences ecosystem]
  • A. Cambridge Biomedical Campus
    Cambridge Biomedical Campus is a major medical and life sciences hub in Cambridge, England, integrating leading hospitals, research institutes, and biotechnology companies.
  • B. 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.
  • C. Babraham Research Campus
    Babraham Research Campus is a major life sciences research and innovation hub near Cambridge, England, focused on bioscience, biotechnology, and academic–industry collaboration.
  • D. Cambridge Stem Cell Institute
    The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
  • E. Cambridge Business Park
    Cambridge Business Park is a major office and technology campus in Cambridge, England, hosting numerous high-tech, telecommunications, and business service companies within the broader Silicon Fen 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: Cambridge life sciences ecosystem
Triple: [Babraham Research Campus, partOf, Cambridge life sciences ecosystem]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cambridge life sciences ecosystem
Target entity description: 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.
  • A. Cambridge Biomedical Campus
    Cambridge Biomedical Campus is a major medical and life sciences hub in Cambridge, England, integrating leading hospitals, research institutes, and biotechnology companies.
  • B. 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.
  • C. Babraham Research Campus
    Babraham Research Campus is a major life sciences research and innovation hub near Cambridge, England, focused on bioscience, biotechnology, and academic–industry collaboration.
  • D. Cambridge Stem Cell Institute
    The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
  • E. Cambridge Business Park
    Cambridge Business Park is a major office and technology campus in Cambridge, England, hosting numerous high-tech, telecommunications, and business service companies within the broader Silicon Fen cluster.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79754988190ab494b1c54d6a2a4 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67f5a246481908bde953b245a6b5e completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6808fe5748190b95959ee23ee6241 completed March 3, 2026, 6:32 a.m.
Created at: March 1, 2026, 7:38 p.m.