Triple

T5645650
Position Surface form Disambiguated ID Type / Status
Subject University of Hradec Králové E124377 entity
Predicate hasAbbreviation P43 FINISHED
Object UHK
UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
E537397 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: UHK | Statement: [University of Hradec Králové, hasAbbreviation, UHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UHK
Context triple: [University of Hradec Králové, hasAbbreviation, UHK]
  • A. 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.
  • B. UoK
    UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
  • C. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. UoH
    UoH is a premier Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • E. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • 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: UHK
Triple: [University of Hradec Králové, hasAbbreviation, UHK]
Generated description
UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UHK
Target entity description: UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • A. 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.
  • B. UoK
    UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
  • C. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. UoH
    UoH is a premier Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • E. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022aa650c819088d9046b82fab631 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d84e14c8190b913486cb516eee1 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edbf1f081908d74d0ac29601a35 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7e64c88190bbced2f2460c1913 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:41 p.m.