Triple
T10491049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Союз нерушимый республик свободных |
E247417
|
entity |
| Predicate | содержитсяВ |
P1393
|
FINISHED |
| Object | текст гимна 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: текст гимна СССР | Statement: [Союз нерушимый республик свободных, содержитсяВ, текст гимна СССР]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: содержитсяВ Context triple: [Союз нерушимый республик свободных, содержитсяВ, текст гимна СССР]
-
A.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
B.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
C.
V_1Contains
Indicates that one entity holds, encloses, or has within it another entity as a part or subset.
-
D.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
doesNotPrimarilyContain
Indicates that one entity does not have another entity as its main or predominant component, element, or content.
- 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, 12:23 p.m.