Triple
T33363088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duale Hochschule Baden-Württemberg Ravensburg |
E854276
|
entity |
| Predicate | studyModel |
P25352
|
FINISHED |
| Object | Wechsel von Theorie- und Praxisphasen |
—
|
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: Wechsel von Theorie- und Praxisphasen | Statement: [Duale Hochschule Baden-Württemberg Ravensburg, studyModel, Wechsel von Theorie- und Praxisphasen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studyModel Context triple: [Duale Hochschule Baden-Württemberg Ravensburg, studyModel, Wechsel von Theorie- und Praxisphasen]
-
A.
hasStudyModel
chosen
Indicates that an entity is associated with, or defined by, a particular study model used for analysis, simulation, or representation.
-
B.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
-
C.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
D.
studyType
Indicates the kind or category of study or research methodology associated with an entity or activity.
-
E.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:34 a.m.