Triple
T30436212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дом Советов РСФСР |
E774317
|
entity |
| Predicate | расположенУОбъекта |
P76038
|
FINISHED |
| Object | река Москва |
—
|
NE NERFINISHED |
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: река Москва | Statement: [Дом Советов РСФСР, расположенУОбъекта, река Москва]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: расположенУОбъекта Context triple: [Дом Советов РСФСР, расположенУОбъекта, река Москва]
-
A.
расположенаНа
Indicates that one entity is located on the surface or area of another entity.
-
B.
objectLocation
chosen
Indicates that one entity is located at, in, or on another entity or spatial region.
-
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.
находитсяК
Indicates that one entity is located at, in, or near another entity.
-
E.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
- 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_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:07 p.m.