Triple
T35820926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Abbott College |
E1035496
|
entity |
| Predicate | hasProgramDurationType |
—
|
GENERATED |
| Object | two-year pre-university |
—
|
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: hasProgramDurationType Context triple: [John Abbott College, hasProgramDurationType, two-year pre-university]
-
A.
hasDurationType
chosen
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
B.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
C.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
-
D.
programLength
Indicates the duration or total length of a program, typically measured in time or size.
-
E.
hasTypicalPerformanceDuration
Indicates the usual or expected length of time that a performance or activity typically lasts.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.