Triple
T31416902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juris Doctor program at Duke Law School |
E801414
|
entity |
| Predicate | typicalDurationYears |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDurationYears Context triple: [Juris Doctor program at Duke Law School, typicalDurationYears, 3]
-
A.
typicalLengthUpperBoundYears
Indicates the maximum number of years that is typically expected for the length or duration of something.
-
B.
typicalLengthLowerBoundYears
Indicates the minimum number of years that typically characterizes the length or duration of something.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
E.
durationInYears
chosen
Indicates the length of time associated with something, measured in whole or fractional years.
- F. None of above.
Provenance (1 batch)
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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 8:44 p.m.