Triple
T8400030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bauhaus school of design |
E198147
|
entity |
| Predicate | offeredCourse |
P32567
|
FINISHED |
| Object | preliminary course (Vorkurs) |
—
|
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: preliminary course (Vorkurs) | Statement: [Bauhaus school of design, offeredCourse, preliminary course (Vorkurs)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredCourse Context triple: [Bauhaus school of design, offeredCourse, preliminary course (Vorkurs)]
-
A.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
B.
offeredClass
chosen
Indicates that a particular class or course is being made available or provided, typically by an institution or organization.
-
C.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
D.
offersCurriculum
Indicates that one entity provides or makes available a specific curriculum to another entity.
-
E.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824bfcbc8190b26bfcb5f8c4777c |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.