Triple
T10274289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Veterinary Medicine and Pharmacy in Košice |
E240922
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UVLF
UVLF is a Slovak higher education institution in Košice specializing in veterinary medicine, pharmacy, and related biomedical sciences.
|
E851875
|
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: UVLF | Statement: [University of Veterinary Medicine and Pharmacy in Košice, abbreviation, UVLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UVLF Context triple: [University of Veterinary Medicine and Pharmacy in Košice, abbreviation, UVLF]
-
A.
ULF1.1
ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
-
B.
VUV
VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
-
C.
VL
VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
-
D.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
- 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: UVLF Triple: [University of Veterinary Medicine and Pharmacy in Košice, abbreviation, UVLF]
Generated description
UVLF is a Slovak higher education institution in Košice specializing in veterinary medicine, pharmacy, and related biomedical sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UVLF Target entity description: UVLF is a Slovak higher education institution in Košice specializing in veterinary medicine, pharmacy, and related biomedical sciences.
-
A.
ULF1.1
ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
-
B.
VUV
VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
-
C.
VL
VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
-
D.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28a9c508190824867c04e8dcbe7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f81b39008190af48de31de03682e |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcad625881909304201c1ebb3bcb |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd84cd708190816d94417294b52a |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:36 a.m.