Triple
T13308728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Attorney for the District of South Dakota |
E317004
|
entity |
| Predicate | scopeOfWorkIncludes |
P22281
|
FINISHED |
| Object | violent crime prosecutions |
—
|
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: violent crime prosecutions | Statement: [United States Attorney for the District of South Dakota, scopeOfWorkIncludes, violent crime prosecutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfWorkIncludes Context triple: [United States Attorney for the District of South Dakota, scopeOfWorkIncludes, violent crime prosecutions]
-
A.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
-
B.
workScope
chosen
Indicates the defined range, extent, and boundaries of tasks or responsibilities involved in a particular work activity or project.
-
C.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
D.
includedWorkOn
Indicates that one entity contains, features, or incorporates another entity as a work or component within it.
-
E.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.