Triple
T8689822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Brussels |
E206256
|
entity |
| Predicate | ticketClassOffered |
P37972
|
FINISHED |
| Object | Standard |
—
|
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: Standard | Statement: [London–Brussels, ticketClassOffered, Standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketClassOffered Context triple: [London–Brussels, ticketClassOffered, Standard]
-
A.
ticketClass
chosen
Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
-
B.
ticketClassSystem
Indicates that an entity is classified within a particular ticketing or fare class system that defines categories or levels of tickets.
-
C.
ticketTypeExample
Indicates that an entity serves as an example or illustrative instance of a particular ticket type.
-
D.
liftTicketType
Indicates the type or category of lift ticket associated with or assigned to an entity.
-
E.
ticketIncludes
Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.