Triple
T517951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolling v. Sharpe |
E10748
|
entity |
| Predicate | segregationBasis |
P15323
|
FINISHED |
| Object | race |
—
|
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: race | Statement: [Bolling v. Sharpe, segregationBasis, race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segregationBasis Context triple: [Bolling v. Sharpe, segregationBasis, race]
-
A.
typeOfSegregationAddressed
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.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
ethnicSubdivisionOf
Indicates that one ethnic group is a constituent subgroup or branch within a larger, overarching ethnic group.
-
E.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
- 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_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. |
| PDg | Predicate description generation | batch_69a2f1137e948190838303cdaa757a5a |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.