Triple

T3830730
Position Surface form Disambiguated ID Type / Status
Subject Canada Pavilion E91002 entity
Predicate innovationFocus P16245 FINISHED
Object science and technology in Canada LITERAL 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 and technology in Canada | Statement: [Canada Pavilion, innovationFocus, science and technology in Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: innovationFocus
Context triple: [Canada Pavilion, innovationFocus, science and technology in Canada]
  • A. innovationArea chosen
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • B. innovation
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • C. innovationFrom
    Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
  • D. entrepreneurialFocus
    Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
  • E. financialInnovation
    Indicates the introduction or use of new financial products, services, processes, or technologies that change how financial activities are conducted.
  • F. None of above.

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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb86207c81908f40a01fe27f6a0b completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.