Triple
T20442108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Fine Arts in Prague |
E501420
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
AVU
AVU is the Academy of Fine Arts in Prague, a prestigious Czech institution dedicated to higher education and training in the visual arts.
|
E1431753
|
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: AVU | Statement: [Academy of Fine Arts in Prague, shortName, AVU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVU Context triple: [Academy of Fine Arts in Prague, shortName, AVU]
-
A.
AVST
AVST is the stock ticker symbol for Avast, a cybersecurity company best known for its antivirus and internet security software.
-
B.
AVC
AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
-
C.
AVC
AVC is the personal technology and venture capital blog written by prominent venture capitalist Fred Wilson.
-
D.
AV1
AV1 is a royalty-free, next-generation video compression codec developed by the Alliance for Open Media to efficiently deliver high-quality video over the internet.
-
E.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
- 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: AVU Triple: [Academy of Fine Arts in Prague, shortName, AVU]
Generated description
AVU is the Academy of Fine Arts in Prague, a prestigious Czech institution dedicated to higher education and training in the visual arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVU Target entity description: AVU is the Academy of Fine Arts in Prague, a prestigious Czech institution dedicated to higher education and training in the visual arts.
-
A.
AVST
AVST is the stock ticker symbol for Avast, a cybersecurity company best known for its antivirus and internet security software.
-
B.
AVC
AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
-
C.
AVC
AVC is the personal technology and venture capital blog written by prominent venture capitalist Fred Wilson.
-
D.
AV1
AV1 is a royalty-free, next-generation video compression codec developed by the Alliance for Open Media to efficiently deliver high-quality video over the internet.
-
E.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f3b794819080745b135a305ba7 |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ff8e6c8190b8699ea023e98799 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08860f244c81909f2602704a19b0c6 |
completed | May 16, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08868eadd48190837d0fbefb3da02a |
completed | May 16, 2026, 3 p.m. |
Created at: April 16, 2026, 11:32 a.m.