Triple
T36082590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin S-Bahn fare zone A |
E1043689
|
entity |
| Predicate | typicalTicketType |
—
|
GENERATED |
| Object | AB ticket |
—
|
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: typicalTicketType Context triple: [Berlin S-Bahn fare zone A, typicalTicketType, AB ticket]
-
A.
ticketTypeCommon
Indicates that two or more tickets share the same general type or classification.
-
B.
typicalTicketText
Indicates that the associated text represents the standard or commonly used wording for a ticket.
-
C.
ticketTypeExample
chosen
Indicates that an entity serves as an example or illustrative instance of a particular ticket type.
-
D.
typicalBillet
Indicates that something serves as a standard or characteristic billet or assignment for a given role, context, or entity.
-
E.
ticketClass
Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.