Triple
T25306737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Area Agencies on Aging |
E634500
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | aging services network component |
C7277
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: aging services network component Context triple: [Local Area Agencies on Aging, instanceOf, aging services network component]
-
A.
marketing services network
A marketing services network is an interconnected group of agencies, specialists, and platforms that collaboratively provide a full range of marketing, advertising, and communication solutions to clients.
-
B.
aging services agency
chosen
An aging services agency is an organization that plans, coordinates, and delivers programs and supports to help older adults maintain health, independence, and quality of life in their communities.
-
C.
municipal services network
A municipal services network is an integrated system of interconnected public infrastructure, agencies, and digital platforms that coordinate to deliver essential city services such as water, waste management, transportation, and emergency response to residents and businesses.
-
D.
location services solution
A location services solution is a system that collects, processes, and provides geographic position data to enable location-aware features and decision-making for applications and users.
-
E.
extension service organization
An extension service organization is an institution that provides education, resources, and technical assistance to individuals and communities—often in agriculture, health, or community development—to help them apply research-based knowledge in practical ways.
- F. None of above.
Provenance (1 batch)
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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:25 p.m.