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.