Triple
T14295111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Parole Board |
E354417
|
entity |
| Predicate | monitorsThrough |
P752
|
FINISHED |
| Object | parole officers |
—
|
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: parole officers | Statement: [Alaska Parole Board, monitorsThrough, parole officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsThrough Context triple: [Alaska Parole Board, monitorsThrough, parole officers]
-
A.
monitors
chosen
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
B.
monitoredFor
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
C.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
D.
typicalMonitor
Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
-
E.
isMonitoredIn
Indicates that an entity is being observed, tracked, or supervised within a particular context, system, or environment.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.