Triple
T24287215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunbury railway station |
E605702
|
entity |
| Predicate | hasMykiTicketing |
P41459
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sunbury railway station, hasMykiTicketing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMykiTicketing Context triple: [Sunbury railway station, hasMykiTicketing, yes]
-
A.
hasTicketInspection
Indicates that a ticket is checked or verified by an authorized inspector or system.
-
B.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
C.
hasTicketAccess
Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
-
D.
hasElectronicTicketing
chosen
Indicates that an entity supports or provides electronic ticketing for access, booking, or transactions.
-
E.
isWithinFareSystem
Indicates that one transportation service, route, or area operates under and is covered by a specified fare or ticketing 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f56cdc08190a1e06f67dffd4769 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.