Triple
T1091721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical University of Munich |
E24177
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
TUM School of Natural Sciences
TUM School of Natural Sciences is a major academic unit of the Technical University of Munich that focuses on research and education in core scientific disciplines such as physics, chemistry, and related natural sciences.
|
E24177
|
NE FINISHED |
How this triple was built (4 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 School of Natural Sciences | Statement: [Technical University of Munich, hasFaculty, TUM School of Natural Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUM School of Natural Sciences Context triple: [Technical University of Munich, hasFaculty, TUM School of Natural Sciences]
-
A.
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.
-
B.
University of Erlangen-Nuremberg
The University of Erlangen-Nuremberg is a major German public research university in Bavaria known for its strong programs in science, engineering, and the humanities.
-
C.
Ulm University
Ulm University is a public research university in Ulm, Germany, known for its strong programs in natural sciences, medicine, engineering, and economics.
-
D.
Ludwig Maximilian University of Munich
Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
-
E.
University of Würzburg
The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TUM School of Natural Sciences Triple: [Technical University of Munich, hasFaculty, TUM School of Natural Sciences]
Generated description
TUM School of Natural Sciences is a major academic unit of the Technical University of Munich that focuses on research and education in core scientific disciplines such as physics, chemistry, and related natural sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUM School of Natural Sciences Target entity description: TUM School of Natural Sciences is a major academic unit of the Technical University of Munich that focuses on research and education in core scientific disciplines such as physics, chemistry, and related natural sciences.
-
A.
Technical University of Munich
chosen
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.
-
B.
University of Erlangen-Nuremberg
The University of Erlangen-Nuremberg is a major German public research university in Bavaria known for its strong programs in science, engineering, and the humanities.
-
C.
Ulm University
Ulm University is a public research university in Ulm, Germany, known for its strong programs in natural sciences, medicine, engineering, and economics.
-
D.
Ludwig Maximilian University of Munich
Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
-
E.
University of Würzburg
The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
- F. None of above.
Provenance (5 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2a20b48190b3a550f6e5ee13e1 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4cae760881909329701561ad2ba6 |
completed | March 7, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d7176808190b74d535d7e1b7c6a |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.