Triple
T10569069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagrationovskaya |
E249430
|
entity |
| Predicate | metroStyle |
P93228
|
FINISHED |
| Object | Khrushchyovka-era functionalism |
—
|
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: Khrushchyovka-era functionalism | Statement: [Bagrationovskaya, metroStyle, Khrushchyovka-era functionalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroStyle Context triple: [Bagrationovskaya, metroStyle, Khrushchyovka-era functionalism]
-
A.
metroSystemColor
Indicates the color assigned to a metro or subway line within a transit system.
-
B.
transitStyle
Indicates the manner or mode in which something is transported or conveyed from one place to another.
-
C.
hasMTAStyle
Indicates that one entity possesses or is associated with a particular MTA (Mail Transfer Agent) configuration or style.
-
D.
metroLineColor
Indicates the color assigned to a specific metro or subway line in a transit system.
-
E.
hasStationStyle
chosen
Indicates that one entity (typically a station) possesses or is characterized by a particular architectural or design style.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.