Triple

T7491827
Position Surface form Disambiguated ID Type / Status
Subject Commissioner for Human Resources, Science and Technology E177022 entity
Predicate appliesPolicyFramework P9089 FINISHED
Object Science, Technology and Innovation Strategy for Africa E633077 NE FINISHED

How this triple was built (2 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: Science, Technology and Innovation Strategy for Africa | Statement: [Commissioner for Human Resources, Science and Technology, appliesPolicyFramework, Science, Technology and Innovation Strategy for Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Science, Technology and Innovation Strategy for Africa
Context triple: [Commissioner for Human Resources, Science and Technology, appliesPolicyFramework, Science, Technology and Innovation Strategy for Africa]
  • A. African Union Science, Technology and Innovation Strategy chosen
    The African Union Science, Technology and Innovation Strategy is a continental policy framework that guides African countries in using science, technology and innovation to drive sustainable development, economic growth and social transformation.
  • B. 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.
  • C. APEC Policy Partnership on Science, Technology and Innovation
    The APEC Policy Partnership on Science, Technology and Innovation is a public–private forum within APEC that promotes collaborative policies and initiatives to advance science, technology, and innovation-driven growth across member economies.
  • D. Continental Education Strategy for Africa
    The Continental Education Strategy for Africa is the African Union’s long-term framework aimed at transforming education systems across the continent to drive sustainable development, innovation, and global competitiveness.
  • E. The Race to the Top: A Review of Government’s Science and Innovation Policies
    The Race to the Top: A Review of Government’s Science and Innovation Policies is a 2007 independent report by Lord Sainsbury that assesses the UK’s science and innovation system and recommends strategies to enhance national competitiveness and economic growth through research and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5767d3481909a9a0e099cc02d03 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c76a8988190bb5ff21731b19d4b completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.