Triple
T21164199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Deyneka |
E521515
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | VKhUTEMAS |
—
|
NE NERFINISHED |
How this triple was built (2 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: VKhUTEMAS | Statement: [Alexander Deyneka, educatedAt, VKhUTEMAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VKhUTEMAS Context triple: [Alexander Deyneka, educatedAt, VKhUTEMAS]
-
A.
VKhUTEMAS
chosen
VKhUTEMAS was a pioneering Soviet state art and technical school in Moscow, often compared to the Bauhaus, that became a major center for avant-garde and Constructivist design and architecture in the 1920s.
-
B.
VUT
VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
-
C.
VUT
VUT is the Czech abbreviation for Brno University of Technology, a major technical and engineering university based in Brno, Czech Republic.
-
D.
Tushemisht
Tushemisht is a lakeside village in southeastern Albania, known for its scenic location on the shores of Lake Ohrid near the Macedonian border.
-
E.
Temaʿ
Temaʿ is a transliterated form of the biblical and historical name "Tema," associated with an oasis region and people in northwestern Arabia mentioned in ancient Near Eastern sources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72533fe88819082e14d71c36140be |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.