Triple
T24932941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonee Ponds railway station |
E623236
|
entity |
| Predicate | hasTicketingStatus |
P159394
|
FINISHED |
| Object | myki only |
—
|
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: myki only | Statement: [Moonee Ponds railway station, hasTicketingStatus, myki only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTicketingStatus Context triple: [Moonee Ponds railway station, hasTicketingStatus, myki only]
-
A.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
B.
hasTicketingAuthority
Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
-
C.
hasTicketAccess
Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
-
D.
hasTicketIntegration
Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
-
E.
hasTicketingRelationshipWith
Indicates a relationship where one entity is involved in issuing, managing, or being associated with tickets in connection to another entity.
- F. None of above. chosen
Provenance (4 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 5:30 a.m.