Triple

T1874698
Position Surface form Disambiguated ID Type / Status
Subject Office of Data Science E39115 entity
Predicate supportsOrganizationFunction P27742 FINISHED
Object regulatory oversight 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: regulatory oversight | Statement: [Office of Data Science, supportsOrganizationFunction, regulatory oversight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsOrganizationFunction
Context triple: [Office of Data Science, supportsOrganizationFunction, regulatory oversight]
  • A. supportsOrganization
    Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
  • B. organizationalFunction chosen
    Indicates the role, purpose, or primary activity that an organization performs within a broader system or context.
  • C. includesOrganization
    Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
  • D. usedInOrganization
    Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
  • E. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.