Triple
T25386515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myki Zone 2 |
E631538
|
entity |
| Predicate | fareStructureRelation |
P49336
|
FINISHED |
| Object | outer zone in Melbourne’s Myki fare structure |
—
|
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: outer zone in Melbourne’s Myki fare structure | Statement: [Myki Zone 2, fareStructureRelation, outer zone in Melbourne’s Myki fare structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareStructureRelation Context triple: [Myki Zone 2, fareStructureRelation, outer zone in Melbourne’s Myki fare structure]
-
A.
fareStructure
Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
-
B.
fareStructureFeature
chosen
Indicates a characteristic or condition of how fares are structured, calculated, or applied within a pricing or ticketing system.
-
C.
fareZoneRelation
Indicates a relationship between a location or service and a specific fare zone used for pricing or ticketing.
-
D.
fareBasis
Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
-
E.
farePolicyRelatedTo
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5656a1e8081908dbec5e5e1d21319 |
completed | May 2, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:47 p.m.