Triple
T4970655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Economics, Prague |
E111639
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
VŠE
VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
|
E482738
|
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: VŠE | Statement: [University of Economics, Prague, shortName, VŠE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VŠE Context triple: [University of Economics, Prague, shortName, VŠE]
-
A.
VUT
VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
-
B.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
C.
VKSU
VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
-
D.
VSELJ
VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
-
E.
Ves'
Ves' was a medieval Slavic tribe or polity traditionally associated with the early formation of the Kievan Rus' state.
- 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: VŠE Triple: [University of Economics, Prague, shortName, VŠE]
Generated description
VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VŠE Target entity description: VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
-
A.
VUT
VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
-
B.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
C.
VKSU
VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
-
D.
VSELJ
VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
-
E.
Ves'
Ves' was a medieval Slavic tribe or polity traditionally associated with the early formation of the Kievan Rus' state.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7213bf0081909b3c496f1804dc4c |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81f749fc8190ad4dc68f7e2086b1 |
completed | March 21, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69be841943d481909c18ca8e8c758501 |
completed | March 21, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be848b0df88190aba28a258d8a706e |
completed | March 21, 2026, 11:44 a.m. |
Created at: March 20, 2026, 1:33 p.m.