Triple
T23118367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Viticulture and Enology |
E576818
|
entity |
| Predicate | teachesCourseOn |
P34091
|
FINISHED |
| Object | vineyard management |
—
|
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: vineyard management | Statement: [Department of Viticulture and Enology, teachesCourseOn, vineyard management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesCourseOn Context triple: [Department of Viticulture and Enology, teachesCourseOn, vineyard management]
-
A.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
B.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
C.
taughtCourse
chosen
Indicates that an entity (typically an instructor) has taught a particular course.
-
D.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
E.
traditionallyTaughtBy
Indicates that something is customarily or historically instructed or passed down by a particular person, group, or institution.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4dd7d8819087cc50b2dc94798e |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.