Triple
T4201831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Station Metro station |
E86083
|
entity |
| Predicate | ticketMachinesAccept |
P49831
|
FINISHED |
| Object | cash |
—
|
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: cash | Statement: [Central Station Metro station, ticketMachinesAccept, cash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketMachinesAccept Context triple: [Central Station Metro station, ticketMachinesAccept, cash]
-
A.
ticketingCompatibleWith
Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
-
B.
hasSelfServiceTicketMachines
chosen
Indicates that an entity is equipped with self-service ticket machines available for use.
-
C.
cardAcceptance
Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
-
D.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
E.
hasTicketInspection
Indicates that a ticket is checked or verified by an authorized inspector or system.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.