Triple
T22796279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bonatz |
E564254
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Technical University of Stuttgart |
—
|
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: Technical University of Stuttgart | Statement: [Paul Bonatz, employer, Technical University of Stuttgart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Technical University of Stuttgart Context triple: [Paul Bonatz, employer, Technical University of Stuttgart]
-
A.
University of Stuttgart
chosen
The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
-
B.
University of Karlsruhe
The University of Karlsruhe was a prominent German technical university known for its strong engineering and natural sciences programs and later became part of the Karlsruhe Institute of Technology (KIT).
-
C.
Technical University of Darmstadt
The Technical University of Darmstadt is a leading German research university renowned for its engineering, computer science, and natural sciences programs.
-
D.
Technical University of Munich
The Technical University of Munich is a leading German research university renowned for its excellence in engineering, natural sciences, and technology, as well as its strong industry partnerships and innovation.
-
E.
RWTH Aachen University
RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd8e0c4819086da0488bea56a34 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.