Triple
T18226901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FactSet |
E436444
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | financial data and analytics company |
C16712
|
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: financial data and analytics company Context triple: [FactSet, instanceOf, financial data and analytics company]
-
A.
financial analytics company
chosen
A financial analytics company provides data-driven insights, tools, and models that help organizations understand financial performance, manage risk, and make informed investment or strategic decisions.
-
B.
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.
-
C.
financial data platform
A financial data platform is a centralized system that aggregates, normalizes, analyzes, and distributes financial information and market data to users and applications in real time.
-
D.
financial index provider
A financial index provider is an organization that designs, calculates, maintains, and disseminates market indices used as benchmarks for investment products, performance measurement, and market analysis.
-
E.
financial technology startup
A financial technology startup is an early-stage company that leverages innovative digital tools and data-driven solutions to improve, disrupt, or create financial services and products.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:32 a.m.