Triple
T38701654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai City Transportation Bureau |
E950154
|
entity |
| Predicate | numberOfSubwayLinesOperated |
—
|
GENERATED |
| Object | 2 |
—
|
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: numberOfSubwayLinesOperated Context triple: [Sendai City Transportation Bureau, numberOfSubwayLinesOperated, 2]
-
A.
numberOfMetroLines
chosen
Indicates the total count of metro (subway) lines associated with or serving a given entity.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
subwayOperation
Indicates the operation or running of a subway system, relating transit services to the times, routes, or conditions under which subway trains are in service.
-
D.
operatedUndergroundRailway
Indicates that an entity managed or ran an underground railway system as an operator or controlling organization.
-
E.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:33 p.m.