Triple

T27250368
Position Surface form Disambiguated ID Type / Status
Subject Myki Zone 16 E687467 entity
Predicate farePolicyJurisdiction P143953 FINISHED
Object Victorian Government 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: Victorian Government | Statement: [Myki Zone 16, farePolicyJurisdiction, Victorian Government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: farePolicyJurisdiction
Context triple: [Myki Zone 16, farePolicyJurisdiction, Victorian Government]
  • A. farePolicyAuthority
    Indicates that an authority or organization is responsible for defining, regulating, or overseeing the fare policy applied to a transportation service or route.
  • B. farePolicySource chosen
    Indicates the origin or authority from which a particular fare policy is derived or defined.
  • C. farePolicyRelatedTo
    Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
  • D. farePolicyAspect
    Indicates a specific rule, condition, or feature that characterizes some aspect of a fare policy.
  • E. farePolicyType
    Indicates the type or category of fare policy that governs how prices, rules, or conditions are applied.
  • 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_69ef35567e808190a94458cd44ebff0c completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626b4e84c8190bab9109a20ce29f6 completed May 2, 2026, 4:30 p.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 10:44 a.m.