Triple
T22057028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUM School of Engineering and Design |
E545045
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | TUM Campus Garching |
—
|
NE NERFINISHED |
How this triple was built (3 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: TUM Campus Garching | Statement: [TUM School of Engineering and Design, hasCampus, TUM Campus Garching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUM Campus Garching Context triple: [TUM School of Engineering and Design, hasCampus, TUM Campus Garching]
-
A.
TUM Weihenstephan campus
TUM Weihenstephan campus is the green, research-focused campus of the Technical University of Munich specializing in life sciences, agriculture, and environmental studies.
-
B.
Martinsried campus
Martinsried campus is a major life sciences and biomedical research hub of Ludwig Maximilian University of Munich, located in the Martinsried district near Munich.
-
C.
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.
-
D.
Munich campus
The Munich campus is IESE Business School’s German location, offering executive education and MBA-related programs in one of Europe’s major business and innovation hubs.
-
E.
Grosshadern campus
The Grosshadern campus is a major medical and research site of Ludwig Maximilian University of Munich, centered around the university hospital and associated clinical and biomedical facilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUM Campus Garching Target entity description: TUM Campus Garching is a major research and teaching hub of the Technical University of Munich, known for its concentration of engineering, natural sciences, and high-tech research facilities north of Munich.
-
A.
TUM Weihenstephan campus
TUM Weihenstephan campus is the green, research-focused campus of the Technical University of Munich specializing in life sciences, agriculture, and environmental studies.
-
B.
Martinsried campus
Martinsried campus is a major life sciences and biomedical research hub of Ludwig Maximilian University of Munich, located in the Martinsried district near Munich.
-
C.
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.
-
D.
Munich campus
The Munich campus is IESE Business School’s German location, offering executive education and MBA-related programs in one of Europe’s major business and innovation hubs.
-
E.
Grosshadern campus
The Grosshadern campus is a major medical and research site of Ludwig Maximilian University of Munich, centered around the university hospital and associated clinical and biomedical facilities.
- F. None of above. chosen
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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128588e0081909056ac8251afe935 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:27 p.m.