Triple

T511989
Position Surface form Disambiguated ID Type / Status
Subject U.S. General Services Administration E10627 entity
Predicate hasPart P35 FINISHED
Object Office of the Chief Data Officer of GSA
The Office of the Chief Data Officer of GSA is the unit within the U.S. General Services Administration responsible for governing, managing, and leveraging the agency’s data to support transparency, efficiency, and data-driven decision-making.
E64743 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: Office of the Chief Data Officer of GSA | Statement: [U.S. General Services Administration, hasPart, Office of the Chief Data Officer of GSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office of the Chief Data Officer of GSA
Context triple: [U.S. General Services Administration, hasPart, Office of the Chief Data Officer of GSA]
  • A. Office of the Chief Information Officer of GSA
    The Office of the Chief Information Officer of GSA is the organizational unit within the U.S. General Services Administration responsible for agency-wide information technology strategy, governance, and digital services.
  • B. Office of the Chief Data Officer
    The Office of the Chief Data Officer is a component of the U.S. intelligence community responsible for overseeing data governance, strategy, and management to support national intelligence objectives.
  • C. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • D. Office of E-Government and Information Technology
    The Office of E-Government and Information Technology is a U.S. federal office that leads government-wide efforts to improve digital services, IT management, and the use of technology to enhance public sector efficiency and transparency.
  • E. District of Columbia Office of the Chief Technology Officer
    The District of Columbia Office of the Chief Technology Officer is the city government’s central information technology agency responsible for managing and modernizing DC’s digital infrastructure, services, and cybersecurity.
  • 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: Office of the Chief Data Officer of GSA
Triple: [U.S. General Services Administration, hasPart, Office of the Chief Data Officer of GSA]
Generated description
The Office of the Chief Data Officer of GSA is the unit within the U.S. General Services Administration responsible for governing, managing, and leveraging the agency’s data to support transparency, efficiency, and data-driven decision-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Office of the Chief Data Officer of GSA
Target entity description: The Office of the Chief Data Officer of GSA is the unit within the U.S. General Services Administration responsible for governing, managing, and leveraging the agency’s data to support transparency, efficiency, and data-driven decision-making.
  • A. Office of the Chief Information Officer of GSA
    The Office of the Chief Information Officer of GSA is the organizational unit within the U.S. General Services Administration responsible for agency-wide information technology strategy, governance, and digital services.
  • B. Office of the Chief Data Officer
    The Office of the Chief Data Officer is a component of the U.S. intelligence community responsible for overseeing data governance, strategy, and management to support national intelligence objectives.
  • C. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • D. Office of E-Government and Information Technology
    The Office of E-Government and Information Technology is a U.S. federal office that leads government-wide efforts to improve digital services, IT management, and the use of technology to enhance public sector efficiency and transparency.
  • E. District of Columbia Office of the Chief Technology Officer
    The District of Columbia Office of the Chief Technology Officer is the city government’s central information technology agency responsible for managing and modernizing DC’s digital infrastructure, services, and cybersecurity.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f16768c081909d05537ff070868b completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a6fbbed08190a04ced56b6b9f3d9 completed March 1, 2026, 8:52 p.m.
NEDg Description generation batch_69a4a763e16c819093fe004c0e3a01f6 completed March 1, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69a4a81379e48190983b9dafa0d00fcb completed March 1, 2026, 8:56 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.