Triple
T20929626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARTC Kapooka |
E515434
|
entity |
| Predicate | recruitCourseLength |
P69213
|
FINISHED |
| Object | approximately 12 weeks |
—
|
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: approximately 12 weeks | Statement: [ARTC Kapooka, recruitCourseLength, approximately 12 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitCourseLength Context triple: [ARTC Kapooka, recruitCourseLength, approximately 12 weeks]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
C.
hasCourseLengthUnit
Indicates the unit of measurement used to express the length or duration of a course.
-
D.
approximateCourseLength
chosen
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
E.
courseLengthPosition
Indicates the relative ordering or position of something based on the length or duration of a course.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6545f8c81908a8c2f0e8d7b060e |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.