Triple
T36345503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовая набережная |
E895052
|
entity |
| Predicate | расположенаВдоль |
P2409
|
FINISHED |
| Object | Нева |
—
|
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: Нева | Statement: [Дворцовая набережная, расположенаВдоль, Нева]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: расположенаВдоль Context triple: [Дворцовая набережная, расположенаВдоль, Нева]
-
A.
расположенаНа
Indicates that one entity is located on the surface or area of another entity.
-
B.
locatedAlong
chosen
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).
-
C.
definedAlong
Indicates that one entity is specified, established, or determined in relation to the course, boundary, or extent of another entity.
-
D.
extendsAlongside
Indicates that one entity continues or stretches in a direction parallel and adjacent to another entity over some distance.
-
E.
находитсяК
Indicates that one entity is located at, in, or near another entity.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.