Triple
T36996391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marston Green railway station |
E915238
|
entity |
| Predicate | typicalOperatorBrand |
P124951
|
FINISHED |
| Object | West Midlands Railway local services |
—
|
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: West Midlands Railway local services | Statement: [Marston Green railway station, typicalOperatorBrand, West Midlands Railway local services]
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 (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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.