Triple

T8999097
Position Surface form Disambiguated ID Type / Status
Subject Innovate UK E214996 entity
Predicate hasProgram P178 FINISHED
Object Knowledge Transfer Partnerships
Knowledge Transfer Partnerships are a UK-wide scheme that links businesses with academic or research institutions to drive innovation and improve competitiveness through collaborative projects.
E772139 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: Knowledge Transfer Partnerships | Statement: [Innovate UK, hasProgram, Knowledge Transfer Partnerships]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knowledge Transfer Partnerships
Context triple: [Innovate UK, hasProgram, Knowledge Transfer Partnerships]
  • A. Knowledge and Innovation Communities
    Knowledge and Innovation Communities are large-scale, EU-backed partnerships that bring together businesses, research institutions, and universities to drive innovation, entrepreneurship, and education in specific thematic areas.
  • B. Dowling Review of Business–University Research Collaborations
    The Dowling Review of Business–University Research Collaborations is an influential report led by engineer Ann Dowling that examines how to strengthen partnerships between UK businesses and universities to drive innovation and economic growth.
  • C. Centre for Collaboration with Funding Agencies
    The Centre for Collaboration with Funding Agencies is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research and public health funders.
  • D. Centre for Knowledge Translation
    The Centre for Knowledge Translation is a unit within the Norwegian Institute of Public Health that synthesizes and communicates research evidence to inform health policy and practice.
  • E. Centre for Collaboration with Industry
    The Centre for Collaboration with Industry is a unit within the Norwegian Institute of Public Health that facilitates partnerships and cooperative projects between public health researchers and industrial stakeholders.
  • 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: Knowledge Transfer Partnerships
Triple: [Innovate UK, hasProgram, Knowledge Transfer Partnerships]
Generated description
Knowledge Transfer Partnerships are a UK-wide scheme that links businesses with academic or research institutions to drive innovation and improve competitiveness through collaborative projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knowledge Transfer Partnerships
Target entity description: Knowledge Transfer Partnerships are a UK-wide scheme that links businesses with academic or research institutions to drive innovation and improve competitiveness through collaborative projects.
  • A. Knowledge and Innovation Communities
    Knowledge and Innovation Communities are large-scale, EU-backed partnerships that bring together businesses, research institutions, and universities to drive innovation, entrepreneurship, and education in specific thematic areas.
  • B. Dowling Review of Business–University Research Collaborations
    The Dowling Review of Business–University Research Collaborations is an influential report led by engineer Ann Dowling that examines how to strengthen partnerships between UK businesses and universities to drive innovation and economic growth.
  • C. Centre for Collaboration with Funding Agencies
    The Centre for Collaboration with Funding Agencies is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research and public health funders.
  • D. Centre for Knowledge Translation
    The Centre for Knowledge Translation is a unit within the Norwegian Institute of Public Health that synthesizes and communicates research evidence to inform health policy and practice.
  • E. Centre for Collaboration with Industry
    The Centre for Collaboration with Industry is a unit within the Norwegian Institute of Public Health that facilitates partnerships and cooperative projects between public health researchers and industrial stakeholders.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e23734819083a98f4ff0942479 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d987dc81908f1d74f390f18a9c completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd1a32a64819090d423a99ab75362 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd250593881908312200ba7bba617 completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:05 p.m.