Triple
T26578945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fachhochschule |
E667023
|
entity |
| Predicate | distinctionFromUniversität |
P42298
|
FINISHED |
| Object | usually no right to award habilitation |
—
|
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: usually no right to award habilitation | Statement: [Fachhochschule, distinctionFromUniversität, usually no right to award habilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromUniversität Context triple: [Fachhochschule, distinctionFromUniversität, usually no right to award habilitation]
-
A.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
B.
universityCharacteristic
chosen
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
-
C.
leftUniversity
Indicates that an individual has departed from or is no longer affiliated with a particular university.
-
D.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
E.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:02 a.m.