Triple
T35429993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sviblovo |
E1024028
|
entity |
| Predicate | adjacentStationOnKaluzhsko–RizhskayaLine |
P191724
|
FINISHED |
| Object | Botanichesky Sad |
—
|
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: Botanichesky Sad | Statement: [Sviblovo, adjacentStationOnKaluzhsko–RizhskayaLine, Botanichesky Sad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnKaluzhsko–RizhskayaLine Context triple: [Sviblovo, adjacentStationOnKaluzhsko–RizhskayaLine, Botanichesky Sad]
-
A.
hasAdjacentStationOnKoltsevayaLine
Indicates that one station is directly next to another station on the Koltsevaya (circle) metro line.
-
B.
adjacentStationOnCapitalLine
Indicates that one station is directly next to another station along the Capital Line, with no other stations in between.
-
C.
adjacentStationOnSilverLine
Indicates that one station is directly next to another station along the Silver Line, with no other stations in between.
-
D.
adjacentStationOnRedLine
Indicates that one station is directly next to another station along the Red Line, with no other stations in between.
-
E.
adjacentStationOnPinkLine
Indicates that one station is directly next to another station along the Pink Line route.
- F. None of above. chosen
Provenance (4 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:03 p.m.