Triple
T16079838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Karl von Savigny |
E390075
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | University of Marburg |
—
|
NE NERFINISHED |
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: University of Marburg | Statement: [Friedrich Karl von Savigny, employer, University of Marburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Marburg Context triple: [Friedrich Karl von Savigny, employer, University of Marburg]
-
A.
University of Marburg
chosen
The University of Marburg is one of Germany’s oldest universities and a prominent research institution, particularly renowned for its contributions to the natural sciences and medicine.
-
B.
University of Gießen
The University of Gießen is a German public research university in Hesse, known especially for its strong programs in the natural sciences, life sciences, and humanities.
-
C.
University of Jena
The University of Jena is a historic German higher education institution, renowned for its contributions to philosophy, science, and the humanities since its founding in the 16th century.
-
D.
University of Tübingen
The University of Tübingen is a historic German public research university renowned for its strengths in the humanities, natural sciences, and medicine.
-
E.
University of Münster
The University of Münster is a major public research university in the German city of Münster, known for its broad range of academic disciplines and significant contributions to science and humanities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
Created at: April 10, 2026, 4:57 a.m.