Triple
T74089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emancipation Proclamation |
E1484
|
entity |
| Predicate | didNotApplyTo |
P1639
|
FINISHED |
| Object | border slave states loyal to the Union |
—
|
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: border slave states loyal to the Union | Statement: [Emancipation Proclamation, didNotApplyTo, border slave states loyal to the Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotApplyTo Context triple: [Emancipation Proclamation, didNotApplyTo, border slave states loyal to the Union]
-
A.
doesNotApplyRetroactivelyTo
chosen
Indicates that a rule, law, or condition does not affect events, actions, or situations that occurred before it came into effect.
-
B.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
C.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
D.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
E.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a252201fa481908e30791954119c17 |
completed | Feb. 28, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69a24eacfdc481909e9ff99752fd42bf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.