Triple
T511965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. General Services Administration |
E10627
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Office of Professional Services and Human Capital Categories (FAS)
The Office of Professional Services and Human Capital Categories (FAS) is a business line within the U.S. General Services Administration that manages federal acquisition solutions for professional services and human capital products and services.
|
E63734
|
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 Professional Services and Human Capital Categories (FAS) | Statement: [U.S. General Services Administration, hasPart, Office of Professional Services and Human Capital Categories (FAS)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of Professional Services and Human Capital Categories (FAS) Context triple: [U.S. General Services Administration, hasPart, Office of Professional Services and Human Capital Categories (FAS)]
-
A.
Office of the Chief Human Capital Officer
The Office of the Chief Human Capital Officer is a division within the U.S. Department of Labor responsible for overseeing workforce planning, human resources policy, and talent management for the department’s employees.
-
B.
Office of the Chief Human Capital Officer
The Office of the Chief Human Capital Officer is a component of the U.S. intelligence community responsible for overseeing workforce planning, talent management, and human resources policy within the Office of the Director of National Intelligence.
-
C.
Office of Management and Administration
The Office of Management and Administration is a component of the U.S. presidential staff structure that oversees internal operations, including administrative services, personnel, and organizational management within the Executive Office.
-
D.
Office of Fiscal Operations and Policy
The Office of Fiscal Operations and Policy is a division within the U.S. Treasury’s Bureau of the Fiscal Service that develops and oversees policies and procedures for federal financial operations and cash management.
-
E.
Office of Management and Operations
The Office of Management and Operations is an administrative unit within the Congressional Research Service responsible for overseeing its internal management, support services, and operational functions.
- 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 Professional Services and Human Capital Categories (FAS) Triple: [U.S. General Services Administration, hasPart, Office of Professional Services and Human Capital Categories (FAS)]
Generated description
The Office of Professional Services and Human Capital Categories (FAS) is a business line within the U.S. General Services Administration that manages federal acquisition solutions for professional services and human capital products and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of Professional Services and Human Capital Categories (FAS) Target entity description: The Office of Professional Services and Human Capital Categories (FAS) is a business line within the U.S. General Services Administration that manages federal acquisition solutions for professional services and human capital products and services.
-
A.
Office of the Chief Human Capital Officer
The Office of the Chief Human Capital Officer is a division within the U.S. Department of Labor responsible for overseeing workforce planning, human resources policy, and talent management for the department’s employees.
-
B.
Office of the Chief Human Capital Officer
The Office of the Chief Human Capital Officer is a component of the U.S. intelligence community responsible for overseeing workforce planning, talent management, and human resources policy within the Office of the Director of National Intelligence.
-
C.
Office of Management and Administration
The Office of Management and Administration is a component of the U.S. presidential staff structure that oversees internal operations, including administrative services, personnel, and organizational management within the Executive Office.
-
D.
Office of Fiscal Operations and Policy
The Office of Fiscal Operations and Policy is a division within the U.S. Treasury’s Bureau of the Fiscal Service that develops and oversees policies and procedures for federal financial operations and cash management.
-
E.
Office of Management and Operations
The Office of Management and Operations is an administrative unit within the Congressional Research Service responsible for overseeing its internal management, support services, and operational functions.
- 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_69a49ebe662c8190acdbb8857283f7d1 |
completed | March 1, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69a49fcbcae88190acc3e9d61658beba |
completed | March 1, 2026, 8:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a047b8548190ac9ba95983b06036 |
completed | March 1, 2026, 8:23 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.