Triple
T10491062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Союз нерушимый республик свободных |
E247417
|
entity |
| Predicate | отражает |
P3935
|
FINISHED |
| Object | официальную риторику о дружбе народов СССР |
—
|
LITERAL FINISHED |
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: официальную риторику о дружбе народов СССР | Statement: [Союз нерушимый республик свободных, отражает, официальную риторику о дружбе народов СССР]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: отражает Context triple: [Союз нерушимый республик свободных, отражает, официальную риторику о дружбе народов СССР]
-
A.
reflects
chosen
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
B.
reflectsPolicy
Indicates that one entity embodies, represents, or is aligned with the rules, principles, or stance defined by a particular policy.
-
C.
reversed
Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
-
D.
resents
Indicates that one entity feels bitterness, anger, or lingering ill will toward another, typically due to a perceived wrong or unfair treatment.
-
E.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
- F. None of above.
Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.