Triple
T23300024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbes 30 Under 30 Europe – Industry |
E590276
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Forbes 30 Under 30 list category |
C42358
|
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: Forbes 30 Under 30 list category Context triple: [Forbes 30 Under 30 Europe – Industry, instanceOf, Forbes 30 Under 30 list category]
-
A.
Forbes 30 Under 30 list
chosen
A Forbes 30 Under 30 list is an annual curated selection of 30 influential and high-achieving individuals under the age of 30 in a specific region or industry, recognized for their impact, innovation, and potential.
-
B.
Forbes ranking
A Forbes ranking is an ordered list published by Forbes magazine that evaluates and compares entities such as individuals, companies, or institutions based on specific financial or performance-related criteria.
-
C.
Fortune magazine list
A Fortune magazine list is a curated ranking or compilation published by Fortune that evaluates and highlights companies, individuals, or organizations based on specific financial, performance, or influence criteria.
-
D.
Fortune magazine ranking
A Fortune magazine ranking is an ordered list published by Fortune that evaluates and compares companies, individuals, or organizations based on specific criteria such as revenue, influence, or performance within a given period.
-
E.
women-in-business ranking
A women-in-business ranking is a curated list that evaluates and orders female professionals or leaders based on criteria such as influence, achievement, leadership, and impact within the business world.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 5:04 p.m.