Triple

T22882272
Position Surface form Disambiguated ID Type / Status
Subject Auburn railway station E567505 entity
Predicate hasTicketingSystem P3383 FINISHED
Object Myki NE NERFINISHED

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 | Statement: [Auburn railway station, hasTicketingSystem, Myki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myki
Context triple: [Auburn railway station, hasTicketingSystem, Myki]
  • A. Myki chosen
    Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
  • B. Myki Pass
    Myki Pass is a prepaid, time-based public transport ticket used for unlimited travel within selected zones on Victoria’s Myki system.
  • C. Opal card
    The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
  • D. Myki Zone 15
    Myki Zone 15 is a regional public transport fare zone in Victoria, Australia, covering areas including Echuca and surrounding localities on the state’s rail network.
  • E. Myki Zone 16
    Myki Zone 16 is an outer regional public transport fare zone in Victoria, Australia, covering areas including Swan Hill railway station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5cd98c8190b3c31ffd4c066331 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.