Triple

T6863796
Position Surface form Disambiguated ID Type / Status
Subject Alamein line E158344 entity
Predicate zoneCoverage P19200 FINISHED
Object Myki Zone 2 E631538 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 2 | Statement: [Alamein line, zoneCoverage, Myki Zone 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myki Zone 2
Context triple: [Alamein line, zoneCoverage, Myki Zone 2]
  • A. Myki Zone 2 chosen
    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.
  • B. Myki Zone 1
    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.
  • C. Myki
    Myki is Melbourne’s contactless smartcard public transport ticketing system used across trains, trams, and buses in Victoria, Australia.
  • D. Travelcard Zone 2
    Travelcard Zone 2 is a London public transport fare zone covering inner suburban areas just outside the city centre, used for pricing journeys on the Underground, Overground, and other services.
  • E. TransLink card
    The TransLink card was a contactless smart card used for fare payment on public transit systems in the San Francisco Bay Area before being succeeded by the Clipper card.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e1cfd8fc81908efb83c061cb8e4f completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769ee07308190abfd1d59ecb4db21 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:21 p.m.