Triple

T633957
Position Surface form Disambiguated ID Type / Status
Subject SoftBank Vision Fund E15980 entity
Predicate portfolioFocus P31 FINISHED
Object artificial intelligence 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: artificial intelligence | Statement: [SoftBank Vision Fund, portfolioFocus, artificial intelligence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portfolioFocus
Context triple: [SoftBank Vision Fund, portfolioFocus, artificial intelligence]
  • A. portfolioOf
    Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
  • B. programFocus
    Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
  • C. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. vestmentStyle
    Indicates the style or type of clothing or ceremonial garments associated with an entity.
  • E. branchOfServiceFocus
    Indicates that one entity is the primary military or organizational branch of service emphasized, specialized in, or targeted by another entity or activity.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d030c648190ba1a02301b45f694 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.