Triple
T24321312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idaho Senate |
E612969
|
entity |
| Predicate | appointmentConfirmationScope |
P155547
|
FINISHED |
| Object | certain gubernatorial appointments |
—
|
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: certain gubernatorial appointments | Statement: [Idaho Senate, appointmentConfirmationScope, certain gubernatorial appointments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentConfirmationScope Context triple: [Idaho Senate, appointmentConfirmationScope, certain gubernatorial appointments]
-
A.
appointmentTerm
Indicates the duration or specific period for which an appointment, position, or role is held.
-
B.
appointmentBody
Indicates that one entity serves as the main content or body text associated with a particular appointment.
-
C.
appointmentProcessIncludes
Indicates that an appointment process contains or encompasses a specific step, activity, or component as part of its overall workflow.
-
D.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
-
E.
appointmentScheduledVia
Indicates that an appointment was scheduled using a particular method, channel, or system.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ac7fc08190993f707f2f97e7f5 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:51 a.m.