Triple

T4325131
Position Surface form Disambiguated ID Type / Status
Subject Open Source Initiative E96618 entity
Predicate nonProfitSector P56249 FINISHED
Object technology 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: technology | Statement: [Open Source Initiative, nonProfitSector, technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonProfitSector
Context triple: [Open Source Initiative, nonProfitSector, technology]
  • A. nonProfitContext
    Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
  • B. nonprofitType
    Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
  • C. isNonProfitProjectOf
    Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
  • D. fieldOfPhilanthropy
    Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
  • E. nonprofitStatus
    Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
  • F. None of above. chosen

Provenance (4 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3512ec18481908a7b5c29b3902b53 completed March 12, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69b34f4bec888190987fc2631498b637 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3501834448190bedf775a80da4778 completed March 12, 2026, 11:45 p.m.
Created at: March 12, 2026, 11:13 p.m.