Triple

T356939
Position Surface form Disambiguated ID Type / Status
Subject Bangor metropolitan area E7564 entity
Predicate governingStatisticalAgency P3933 FINISHED
Object United States Office of Management and Budget E10021 NE FINISHED

How this triple was built (3 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: United States Office of Management and Budget | Statement: [Bangor metropolitan area, governingStatisticalAgency, United States Office of Management and Budget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States Office of Management and Budget
Context triple: [Bangor metropolitan area, governingStatisticalAgency, United States Office of Management and Budget]
  • A. Office of Management and Budget chosen
    The Office of Management and Budget is a key U.S. federal agency that assists the President in developing the budget and overseeing the effectiveness and regulatory policies of executive branch agencies.
  • B. Office of Policy, Management and Budget
    The Office of Policy, Management and Budget is an internal office within the U.S. Department of the Interior that oversees departmental policy development, strategic planning, budgeting, and management functions.
  • C. Congressional Budget Office
    The Congressional Budget Office is a nonpartisan federal agency that provides economic and budgetary analysis to the United States Congress.
  • D. U.S. General Services Administration
    The U.S. General Services Administration is a federal agency that manages government buildings, procurement, and technology services to support the operations of other U.S. government agencies.
  • E. Bureau of Economic Analysis
    The Bureau of Economic Analysis is a U.S. government agency that produces key economic statistics, including national income and product accounts such as GDP, to inform public and private decision-making.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governingStatisticalAgency
Context triple: [Bangor metropolitan area, governingStatisticalAgency, United States Office of Management and Budget]
  • A. publicAgency chosen
    Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
  • B. governmentBranch
    Indicates that one entity functions as an official division or branch within the structure of a government.
  • C. hasGovernmentInstitution
    Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
  • D. administeredBy
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • E. hasGovernmentBody
    Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
  • F. None of above.

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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebaf0c9881909313f98818e7fa58 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e86175588190a893cb2266f06170 completed March 1, 2026, 7:18 a.m.
PD Predicate disambiguation batch_69a2e959ce948190a201c017eecb7c95 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.