Triple
T336049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolling v. Sharpe |
E6728
|
entity |
| Predicate | typeOfSegregationAddressed |
P11398
|
FINISHED |
| Object | racial segregation |
—
|
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 segregation | Statement: [Bolling v. Sharpe, typeOfSegregationAddressed, racial segregation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSegregationAddressed Context triple: [Bolling v. Sharpe, typeOfSegregationAddressed, racial segregation]
-
A.
segregationEra
Indicates a period or context in which entities are subject to racially discriminatory separation or unequal treatment under segregation policies.
-
B.
hasSignificantPopulationGroup
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
-
C.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
D.
typeOfIndependence
Indicates the specific nature or category of independence that applies to an entity or relationship.
-
E.
regionType
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
- F. None of above. chosen
Provenance (4 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac81c0c8190b3cb0d53b1cf62b5 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.