Triple
T29054078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Lincoln’s Ten Percent Plan |
E735340
|
entity |
| Predicate | didNotRequire |
P6844
|
FINISHED |
| Object | black suffrage |
—
|
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: black suffrage | Statement: [Abraham Lincoln’s Ten Percent Plan, didNotRequire, black suffrage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotRequire Context triple: [Abraham Lincoln’s Ten Percent Plan, didNotRequire, black suffrage]
-
A.
isNotRequiredFor
chosen
Indicates that one entity is not necessary or mandatory for the existence, occurrence, validity, or completion of another entity or process.
-
B.
didNotOverrule
Indicates that one entity, typically a higher authority or court, chose not to overturn, reverse, or invalidate the decision or ruling made by another entity.
-
C.
didNotHold
Indicates that an expected event, condition, or relationship failed to occur or be valid.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
doesNotIssue
Indicates that one entity refrains from or fails to produce, grant, or distribute something (such as a document, order, or resource) to another entity.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6609061508190ae12005d993e42bc |
completed | May 2, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:10 a.m.