Triple
T8720122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER Bourgogne-Franche-Comté |
E206988
|
entity |
| Predicate | ticketPurchaseChannel |
P34227
|
FINISHED |
| Object | online via SNCF website |
—
|
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: online via SNCF website | Statement: [TER Bourgogne-Franche-Comté, ticketPurchaseChannel, online via SNCF website]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketPurchaseChannel Context triple: [TER Bourgogne-Franche-Comté, ticketPurchaseChannel, online via SNCF website]
-
A.
ticketPurchaseMethod
chosen
Indicates the method or channel through which a ticket was purchased (e.g., online, in person, via mobile app).
-
B.
ticketMachines
Indicates that there is a relationship involving ticket machines, typically denoting where they are located, available, or associated with a particular entity or place.
-
C.
ticketingProduct
Indicates a relationship where an entity is associated with, or offered as, a ticketing-related product (such as a service or item used for issuing, managing, or selling tickets).
-
D.
ticketingLocation
Indicates the place or point where tickets are issued, sold, or otherwise processed for an event, service, or journey.
-
E.
sellsTicketsUnder
Indicates that one entity sells tickets at a price lower than or under the pricing of another 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.