Triple

T38571
Position Surface form Disambiguated ID Type / Status
Subject Defense Advanced Research Projects Agency E763 entity
Predicate organizationalStructure P396 FINISHED
Object offices organized by technology and mission areas 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: offices organized by technology and mission areas | Statement: [Defense Advanced Research Projects Agency, organizationalStructure, offices organized by technology and mission areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationalStructure
Context triple: [Defense Advanced Research Projects Agency, organizationalStructure, offices organized by technology and mission areas]
  • A. hasOrganizationalStructure chosen
    Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
  • B. parentOrganization
    Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
  • C. organizationAssociatedWith
    Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
  • D. academicStructure
    Indicates a hierarchical or organizational relationship within an academic system, such as how programs, departments, courses, or degrees are structured and related to one another.
  • E. departmentType
    Indicates the classification or category of a department, specifying what kind of department it is.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24b4d5bd08190a3a48eb26e67768c completed Feb. 28, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a24ab6141881908701106aa97e4735 completed Feb. 28, 2026, 1:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.