Triple
T11484952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VEVRAA |
E272250
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | affirmative action law |
C8578
|
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: affirmative action law Context triple: [VEVRAA, instanceOf, affirmative action law]
-
A.
reparations law
Reparations law is the body of legal principles and mechanisms that govern how individuals, groups, or states are compensated or otherwise remedied for historical or contemporary injustices and harms.
-
B.
civil rights law
Civil rights law is the body of law that protects individuals from discrimination and unequal treatment based on characteristics such as race, gender, religion, or disability, and ensures their fundamental freedoms and equal access to opportunities.
-
C.
anti-discrimination policy
An anti-discrimination policy is an organizational rule set that prohibits unfair treatment of individuals or groups based on protected characteristics and outlines procedures for prevention, reporting, and remediation of discriminatory behavior.
-
D.
anti-discrimination measure
chosen
An anti-discrimination measure is a policy, law, or practice designed to prevent, reduce, or remedy unequal treatment of individuals or groups based on protected characteristics such as race, gender, age, disability, religion, or sexual orientation.
-
E.
anti-discrimination measure
An anti-discrimination measure is a policy, law, or action designed to prevent, reduce, or remedy unequal treatment of individuals or groups based on protected characteristics such as race, gender, disability, or religion.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:36 p.m.