Triple

T10999668
Position Surface form Disambiguated ID Type / Status
Subject Strategic Innovation Fund E259972 entity
Predicate shortName P43 FINISHED
Object SIF
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
 E898897 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: SIF | Statement: [Strategic Innovation Fund, shortName, SIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIF
Context triple: [Strategic Innovation Fund, shortName, SIF]
  • A. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • B. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • C. SFI
    SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
  • D. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • E. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • 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: SIF
Triple: [Strategic Innovation Fund, shortName, SIF]
Generated description
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIF
Target entity description: SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
  • A. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • B. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • C. SFI
    SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
  • D. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • E. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d5457c819096630246fa5f7076 completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e34530ada081909dc58ff0261e93e7 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e35570b0bc8190a939b0c8e3ce8105 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:25 p.m.