Triple
T30419832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | правый берег Невы |
E773867
|
entity |
| Predicate | находитсяВФедеральномСубъекте |
P127825
|
FINISHED |
| Object | Санкт-Петербург |
—
|
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: Санкт-Петербург | Statement: [правый берег Невы, находитсяВФедеральномСубъекте, Санкт-Петербург]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: находитсяВФедеральномСубъекте Context triple: [правый берег Невы, находитсяВФедеральномСубъекте, Санкт-Петербург]
-
A.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
B.
находитсяК
Indicates that one entity is located at, in, or near another entity.
-
C.
устьеНаходитсяВ
Indicates that the mouth of a river or stream is located within or at a specified body of water or geographic area.
-
D.
containsFederalSubject
Indicates that one administrative or territorial entity includes a specific federal subject within its jurisdiction or boundaries.
-
E.
locatedInRegionOfRussia
chosen
Indicates that one entity is geographically situated within a specified region of Russia.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6864cd7548190b3e12ef2fe253ad8 |
completed | May 2, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:05 p.m.