Triple
T1784727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Title VIII – Registration and Voting Statistics |
E39364
|
entity |
| Predicate | targetsProblem |
P11722
|
FINISHED |
| Object | racial discrimination in voter registration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: racial discrimination in voter registration | Statement: [Title VIII – Registration and Voting Statistics, targetsProblem, racial discrimination in voter registration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsProblem Context triple: [Title VIII – Registration and Voting Statistics, targetsProblem, racial discrimination in voter registration]
-
A.
aimsToSolve
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
-
B.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
targetsGroup
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
-
D.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
E.
hasTargetIssue
chosen
Indicates that an entity is associated with or directed toward a specific issue, problem, or concern as its focus.
- F. None of above.
Provenance (3 batches)
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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.