Triple
T517927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolling v. Sharpe |
E10748
|
entity |
| Predicate | typeOfSegregationChallenged |
P11398
|
FINISHED |
| Object | de jure 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: de jure racial segregation | Statement: [Bolling v. Sharpe, typeOfSegregationChallenged, de jure racial segregation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSegregationChallenged Context triple: [Bolling v. Sharpe, typeOfSegregationChallenged, de jure racial segregation]
-
A.
typeOfSegregationAddressed
chosen
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
B.
segregationEra
Indicates a period or context in which entities are subject to racially discriminatory separation or unequal treatment under segregation policies.
-
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.
challengedStatute
Indicates that a particular statute or law is being contested, questioned, or disputed, typically in a legal or constitutional proceeding.
-
E.
discriminatoryLaw
Indicates that a law treats individuals or groups differently in a way that is biased, unfair, or based on protected characteristics such as race, gender, or religion.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19d81d48190bd65a02059fc8473 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.