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.