Triple
T30436221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дом Советов РСФСР |
E774317
|
entity |
| Predicate | типОрганизацииРазмещённойВнутри |
P3580
|
FINISHED |
| Object | органы государственной власти |
—
|
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: органы государственной власти | Statement: [Дом Советов РСФСР, типОрганизацииРазмещённойВнутри, органы государственной власти]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типОрганизацииРазмещённойВнутри Context triple: [Дом Советов РСФСР, типОрганизацииРазмещённойВнутри, органы государственной власти]
-
A.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
typeOfBusinessOrganization
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
-
C.
типСтроения
Indicates the specific kind or category of building or structure associated with an entity.
-
D.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
E.
organizationTypeOfHolder
Indicates that a specified organization serves as the type or category of the holder in the given relationship.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68694ff888190b85abd31df01a71c |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:07 p.m.