Triple

T7626482
Position Surface form Disambiguated ID Type / Status
Subject Glen Waverley line E172645 entity
Predicate networkZone P6793 FINISHED
Object Myki Zone 1 E623180 NE 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 Zone 1 | Statement: [Glen Waverley line, networkZone, Myki Zone 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myki Zone 1
Context triple: [Glen Waverley line, networkZone, Myki Zone 1]
  • A. Myki Zone 1 chosen
    Myki Zone 1 is the primary metropolitan public transport fare zone covering central and inner-suburban Melbourne, used for trains, trams, and buses on the Myki ticketing system.
  • B. Myki Zone 2
    Myki Zone 2 is an outer suburban public transport fare zone in Melbourne’s Myki ticketing system, covering many of the city’s outer train, tram, and bus services.
  • C. 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.
  • D. Myki Pass
    Myki Pass is a prepaid, time-based public transport ticket used for unlimited travel within selected zones on Victoria’s Myki system.
  • E. Myki
    Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8150ac8190908aec411b0f4e50 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870a518f48190a4bba3657a7844f4 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:56 p.m.