Triple
T37650233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCC-VD |
E937152
|
entity |
| Predicate | associatedStationNameCyrillic |
—
|
GENERATED |
| Object | Владыкино |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStationNameCyrillic Context triple: [MCC-VD, associatedStationNameCyrillic, Владыкино]
-
A.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
B.
associatedWithStationName
chosen
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
C.
associatedStationCountry
Indicates that there is a relationship linking a station to the country with which it is associated.
-
D.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
-
E.
adjacentStationOnKaluzhsko–RizhskayaLine
Indicates that one station is directly next to another station along the Kaluzhsko–Rizhskaya metro line.
- F. None of above.
Provenance (1 batch)
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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.