Triple
T33733583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maizuru National College of Technology |
E864342
|
entity |
| Predicate | hasAdvancedCourseDuration |
P82629
|
FINISHED |
| Object | 2 years (advanced course) |
—
|
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: 2 years (advanced course) | Statement: [Maizuru National College of Technology, hasAdvancedCourseDuration, 2 years (advanced course)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdvancedCourseDuration Context triple: [Maizuru National College of Technology, hasAdvancedCourseDuration, 2 years (advanced course)]
-
A.
hasCourseLength
chosen
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
B.
hasMinimumCourseLength
Indicates that there is a required minimum duration or length that a course must meet or exceed.
-
C.
hasCourseLengthUnit
Indicates the unit of measurement used to express the length or duration of a course.
-
D.
hasCourseThrough
Indicates that something (such as a path, route, or flow) passes through or traverses another entity or area.
-
E.
hasTypicalCourse
Indicates that there is a characteristic or commonly observed progression, sequence, or development pattern associated with the subject.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 1, 2026, 1:44 a.m.