Triple
T38188772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Manchester |
E1005393
|
entity |
| Predicate | hasCoachOperator |
—
|
GENERATED |
| Object | National Express |
—
|
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: hasCoachOperator Context triple: [London–Manchester, hasCoachOperator, National Express]
-
A.
hasCoachCharacter
Indicates that one entity serves as the coach or trainer character associated with another entity.
-
B.
isActiveAsCoach
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
-
C.
requiresCoach
Indicates that one entity depends on or must have the involvement, guidance, or supervision of a coach in order for an action, process, or state to occur or be valid.
-
D.
hasCoachOfCentre
Indicates that an entity serves as the coach associated with a particular centre.
-
E.
hasBusOperator
chosen
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:29 p.m.