Triple
T29471962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Служебный роман |
E747531
|
entity |
| Predicate | эпоха действия |
P134989
|
FINISHED |
| Object | 1970-е годы в 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: 1970-е годы в СССР | Statement: [Служебный роман, эпоха действия, 1970-е годы в СССР]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: эпоха действия Context triple: [Служебный роман, эпоха действия, 1970-е годы в СССР]
-
A.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
B.
historical era
Indicates the broad historical period or epoch during which an entity, event, or phenomenon took place or is associated.
-
C.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
D.
époqueDeLAction
chosen
Indicates the historical or temporal period during which the action takes place.
-
E.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66babf5e08190b8e1007546f3881a |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:57 p.m.