Triple
T25344342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acxiom |
E635503
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data and marketing technology company |
C4106
|
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: data and marketing technology company Context triple: [Acxiom, instanceOf, data and marketing technology company]
-
A.
Data and AI company
A Data and AI company specializes in collecting, managing, and analyzing data to build intelligent systems and solutions that automate decisions, generate insights, and create predictive or generative capabilities for businesses.
-
B.
marketing technology platform
chosen
A marketing technology platform is an integrated software system that centralizes, automates, and optimizes marketing activities across channels to improve targeting, execution, measurement, and ROI.
-
C.
analytics company
An analytics company is an organization that collects, processes, and interprets data to provide insights and recommendations that help clients make informed, data-driven decisions.
-
D.
civic technology company
A civic technology company is an organization that designs and deploys digital tools and platforms to improve public services, enhance government transparency, and increase citizen engagement in civic processes.
-
E.
healthcare technology company
A healthcare technology company develops and delivers digital tools, platforms, and data-driven solutions that improve the efficiency, quality, and accessibility of medical care and health management.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:32 p.m.