Triple
T27586039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM Match 360 |
E699691
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | customer data platform component |
C51476
|
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: customer data platform component Context triple: [IBM Match 360, instanceOf, customer data platform component]
-
A.
customer success platform
A customer success platform is a software solution that centralizes customer data, tracks engagement and health metrics, and orchestrates proactive workflows to help businesses retain and grow their customer base.
-
B.
data integration platform
A data integration platform is a system that connects, transforms, and consolidates data from disparate sources into a unified, accessible, and consistent view for analysis and operational use.
-
C.
omnichannel customer service platform
An omnichannel customer service platform is a unified system that enables businesses to manage and respond to customer interactions seamlessly across multiple channels (such as email, chat, social media, phone, and SMS) from a single interface.
-
D.
data management platform
chosen
A data management platform is a centralized system that collects, organizes, governs, and activates data from multiple sources to enable secure, consistent, and analytics-ready information across an organization.
-
E.
data processing platform
A data processing platform is an integrated system that ingests, transforms, analyzes, and manages data at scale to enable efficient, reliable, and repeatable data-driven operations and insights.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:04 p.m.