Triple
T4639530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk University of Technology |
E101617
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
GUT
GUT is a leading technical university in Gdańsk, Poland, known for its engineering, technology, and research programs.
|
E456808
|
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: GUT | Statement: [Gdańsk University of Technology, shortName, GUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUT Context triple: [Gdańsk University of Technology, shortName, GUT]
-
A.
Gut
Gut is a surname of Germanic origin borne by various individuals, including the Czech ice hockey player and coach Karel Gut.
-
B.
Gerd
Gerd is a jötunn (giantess) in Norse mythology best known as the beautiful wife of the god Freyr, whose courtship of her is a central myth in the Norse canon.
-
C.
Gerd
Gerd is a masculine given name of German origin, commonly used in German-speaking countries.
-
D.
Gall
Gall was a prominent 19th-century Hunkpapa Lakota war leader known for his key role in the Battle of the Little Bighorn alongside Sitting Bull and Crazy Horse.
-
E.
GUM
GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
- 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: GUT Triple: [Gdańsk University of Technology, shortName, GUT]
Generated description
GUT is a leading technical university in Gdańsk, Poland, known for its engineering, technology, and research programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GUT Target entity description: GUT is a leading technical university in Gdańsk, Poland, known for its engineering, technology, and research programs.
-
A.
Gut
Gut is a surname of Germanic origin borne by various individuals, including the Czech ice hockey player and coach Karel Gut.
-
B.
Gerd
Gerd is a jötunn (giantess) in Norse mythology best known as the beautiful wife of the god Freyr, whose courtship of her is a central myth in the Norse canon.
-
C.
Gerd
Gerd is a masculine given name of German origin, commonly used in German-speaking countries.
-
D.
Gall
Gall was a prominent 19th-century Hunkpapa Lakota war leader known for his key role in the Battle of the Little Bighorn alongside Sitting Bull and Crazy Horse.
-
E.
GUM
GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8e0ee88190becab97d2ef1571a |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacf3cb08190a080e5ed1063902f |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfb70b9d48190a32c5cc753c45aab |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc54e194819080b1eb5b9f0dfe9e |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:13 p.m.