Triple
T6064059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine Heidelberg |
E135109
|
entity |
| Predicate | degreeConferred |
P45182
|
FINISHED |
| Object | Staatsexamen in medicine |
—
|
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: Staatsexamen in medicine | Statement: [Faculty of Medicine Heidelberg, degreeConferred, Staatsexamen in medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeConferred Context triple: [Faculty of Medicine Heidelberg, degreeConferred, Staatsexamen in medicine]
-
A.
degreeGrantedBy
chosen
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
C.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
D.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
E.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05723c91c819090b4d4672e72f9f3 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.