Triple
T36996391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marston Green railway station |
E915238
|
entity |
| Predicate | typicalOperatorBrand |
—
|
GENERATED |
| Object | West Midlands Railway local services |
—
|
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: typicalOperatorBrand Context triple: [Marston Green railway station, typicalOperatorBrand, West Midlands Railway local services]
-
A.
operatorBrandNameFor
chosen
Indicates that a given brand name is used as the commercial or public-facing name for a particular operator.
-
B.
operatedByBrand
Indicates that an entity (such as a service, location, or product line) is run, managed, or controlled by a particular brand.
-
C.
typicalOperator
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
D.
operatedChannelBrand
Indicates that a brand is responsible for operating or managing a particular channel.
-
E.
commercialOperatorFoundedFor
Indicates that a commercial operator was established or created specifically for the benefit, use, or operation of the referenced entity.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.