Triple

T10312733
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Košice E241934 entity
Predicate shortName P43 FINISHED
Object TUKE
TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
E855769 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: TUKE | Statement: [Technical University of Košice, shortName, TUKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUKE
Context triple: [Technical University of Košice, shortName, TUKE]
  • A. Todai
    Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
  • B. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • C. Trnava University
    Trnava University is a higher education institution located in the historic city of Trnava, Slovakia, offering a range of academic programs and research activities.
  • D. Óbuda University
    Óbuda University is a Hungarian public university in Budapest known for its strong focus on engineering, applied sciences, and technical education.
  • E. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • 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: TUKE
Triple: [Technical University of Košice, shortName, TUKE]
Generated description
TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TUKE
Target entity description: TUKE is a major Slovak technical university based in Košice, known for its engineering, technology, and applied science programs.
  • A. Todai
    Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
  • B. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • C. Trnava University
    Trnava University is a higher education institution located in the historic city of Trnava, Slovakia, offering a range of academic programs and research activities.
  • D. Óbuda University
    Óbuda University is a Hungarian public university in Budapest known for its strong focus on engineering, applied sciences, and technical education.
  • E. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d801978819097293b5c98350fef completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:48 a.m.