Triple
T16205870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 115-44 |
E393325
|
entity |
| Predicate | imposesSanctionsOn |
P122155
|
FINISHED |
| Object | Russian defense sector |
—
|
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: Russian defense sector | Statement: [Public Law 115-44, imposesSanctionsOn, Russian defense sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imposesSanctionsOn Context triple: [Public Law 115-44, imposesSanctionsOn, Russian defense sector]
-
A.
canImposeSanctions
Indicates that one entity has the authority or power to apply punitive or restrictive measures (sanctions) against another entity.
-
B.
coSanctions
Indicates that two or more entities jointly impose or support the same sanction or set of sanctions on a target.
-
C.
coSanctionsWith
Indicates that two or more entities jointly impose, support, or participate in the same sanctions or sanctioning action.
-
D.
typeOfSanction
Indicates the specific category or kind of sanction that is applied in a given situation.
-
E.
reasonForSanctions
Indicates the underlying cause or justification for imposing sanctions on an entity.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.