Triple
T10628466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical University of Kaiserslautern |
E250386
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TUK
TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
|
E875703
|
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: TUK | Statement: [Technical University of Kaiserslautern, shortName, TUK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUK Context triple: [Technical University of Kaiserslautern, shortName, TUK]
-
A.
TUKE
TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
-
B.
TMUK
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
C.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
-
D.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
E.
Tuks
Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
- 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: TUK Triple: [Technical University of Kaiserslautern, shortName, TUK]
Generated description
TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUK Target entity description: TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
-
A.
TUKE
TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
-
B.
TMUK
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
C.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
-
D.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
E.
Tuks
Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
- F. None of above. chosen
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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:58 p.m.