Triple

T35406039

Position	Surface form	Disambiguated ID	Type / Status
Subject	FedRAMP Joint Authorization Board	`E1023364`	entity
Predicate	composedOf	`P402`	FINISHED
Object	General Services Administration representatives General Services Administration representatives are officials from the U.S. federal agency responsible for managing government buildings, procurement, and technology services, who participate in oversight and governance activities such as the FedRAMP Joint Authorization Board.	`E10627`	NE 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: General Services Administration representatives | Statement: [FedRAMP Joint Authorization Board, composedOf, General Services Administration representatives]

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: General Services Administration representatives
Triple: [FedRAMP Joint Authorization Board, composedOf, General Services Administration representatives]

Generated description

General Services Administration representatives are officials from the U.S. federal agency responsible for managing government buildings, procurement, and technology services, who participate in oversight and governance activities such as the FedRAMP Joint Authorization Board.

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_69f76df43ca4819098711ca4370f1bb9`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7956353fc8190a54e35f018f4171f`	completed	May 3, 2026, 6:35 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a382cce7ad481908d2c71cd31a0f6c9`	completed	June 21, 2026, 6:26 p.m.
NEDg	Description generation	`batch_6a382dbfa90081908a3785cd1d44fc23`	completed	June 21, 2026, 6:30 p.m.
NED2	Entity disambiguation (via description)	`batch_6a382e5f437481909c6c9f085168bfec`	completed	June 21, 2026, 6:33 p.m.

Created at: May 3, 2026, 4:03 p.m.