Triple

T20843672
Position Surface form Disambiguated ID Type / Status
Subject IEEE President E513161 entity
Predicate associatedOrganizationScope P6976 FINISHED
Object global 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: global | Statement: [IEEE President, associatedOrganizationScope, global]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedOrganizationScope
Context triple: [IEEE President, associatedOrganizationScope, global]
  • A. connectedOrganization
    Indicates that there is an established relationship or association between two organizations, such that one is linked or affiliated with the other in some relevant context.
  • B. associatedOrganizationFullName
    Indicates that an entity is linked to an organization by specifying the organization’s complete, official name.
  • C. organizationAssociatedWith
    Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
  • D. includesOrganization
    Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
  • E. organizationalScope chosen
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34cdf9881909f3340874bbee5bc completed April 21, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:43 p.m.