Triple
T2884896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voting Rights Act Amendments of 1975 |
E59481
|
entity |
| Predicate | coverageFormulaBasedOn |
P5037
|
FINISHED |
| Object | language minority population thresholds |
—
|
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: language minority population thresholds | Statement: [Voting Rights Act Amendments of 1975, coverageFormulaBasedOn, language minority population thresholds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageFormulaBasedOn Context triple: [Voting Rights Act Amendments of 1975, coverageFormulaBasedOn, language minority population thresholds]
-
A.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
B.
coversField
Indicates that one entity extends over, protects, or occupies the surface or area of a field associated with another entity.
-
C.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
D.
fieldCovered
Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
-
E.
coversPolicyArea
chosen
Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04476588190b0db0880e14c79b5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.