Triple

T454319
Position Surface form Disambiguated ID Type / Status
Subject Office of the Chief Information Officer (U.S. Department of Labor) E7198 entity
Predicate usesFramework P1587 FINISHED
Object Federal Enterprise Architecture Framework
The Federal Enterprise Architecture Framework is a U.S. federal government methodology and reference model for organizing and aligning agency business processes, information, and technology to improve efficiency and interoperability.
E57322 NE FINISHED

How this triple was built (4 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: Federal Enterprise Architecture Framework | Statement: [Office of the Chief Information Officer (U.S. Department of Labor), usesFramework, Federal Enterprise Architecture Framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federal Enterprise Architecture Framework
Context triple: [Office of the Chief Information Officer (U.S. Department of Labor), usesFramework, Federal Enterprise Architecture Framework]
  • A. Federal Digital System
    The Federal Digital System is an online platform that provides free public access to official U.S. government publications and documents.
  • B. Office of System Architecture and Advanced Planning
    The Office of System Architecture and Advanced Planning is a division within NOAA’s National Environmental Satellite, Data, and Information Service that focuses on long-term planning and design of satellite and environmental data systems.
  • C. FBI information sharing environment
    The FBI information sharing environment is the bureau’s integrated framework, systems, and policies for securely exchanging intelligence and investigative data with internal units and external partners across the law enforcement and intelligence communities.
  • D. Strategic Computing Initiative
    The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
  • E. FBI data governance policies
    FBI data governance policies are the formal rules and standards that regulate how the FBI manages, protects, and uses its information and intelligence data across the organization.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Federal Enterprise Architecture Framework
Triple: [Office of the Chief Information Officer (U.S. Department of Labor), usesFramework, Federal Enterprise Architecture Framework]
Generated description
The Federal Enterprise Architecture Framework is a U.S. federal government methodology and reference model for organizing and aligning agency business processes, information, and technology to improve efficiency and interoperability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Federal Enterprise Architecture Framework
Target entity description: The Federal Enterprise Architecture Framework is a U.S. federal government methodology and reference model for organizing and aligning agency business processes, information, and technology to improve efficiency and interoperability.
  • A. Federal Digital System
    The Federal Digital System is an online platform that provides free public access to official U.S. government publications and documents.
  • B. Office of System Architecture and Advanced Planning
    The Office of System Architecture and Advanced Planning is a division within NOAA’s National Environmental Satellite, Data, and Information Service that focuses on long-term planning and design of satellite and environmental data systems.
  • C. FBI information sharing environment
    The FBI information sharing environment is the bureau’s integrated framework, systems, and policies for securely exchanging intelligence and investigative data with internal units and external partners across the law enforcement and intelligence communities.
  • D. Strategic Computing Initiative
    The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
  • E. FBI data governance policies
    FBI data governance policies are the formal rules and standards that regulate how the FBI manages, protects, and uses its information and intelligence data across the organization.
  • F. None of above. chosen

Provenance (5 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef87cc7c8190a0fec933457821e2 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44cbc3b708190ab27ce4d323472b9 completed March 1, 2026, 2:27 p.m.
NEDg Description generation batch_69a44d28817481908f1783950db136bb completed March 1, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_69a44d79b2388190b5c16e2a94abb360 completed March 1, 2026, 2:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.