Triple
T24321311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idaho Senate |
E612969
|
entity |
| Predicate | confirmsAppointments |
P4288
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Idaho Senate, confirmsAppointments, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confirmsAppointments Context triple: [Idaho Senate, confirmsAppointments, yes]
-
A.
canConfirmAppointments
chosen
Indicates that an entity has the ability or permission to confirm scheduled appointments.
-
B.
enabledAppointmentOf
Indicates that one entity made it possible or authorized for another entity to be appointed to a role or position.
-
C.
appointedFor
Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
-
D.
appointedWith
Indicates that one entity has been formally assigned or designated to a role, position, or responsibility in relation to another entity.
-
E.
appointmentsInvolve
Indicates that scheduled appointments include or engage specific participants, resources, or activities in the appointment event.
- 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_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. |
Created at: April 18, 2026, 1:51 a.m.