Triple

T25207081
Position Surface form Disambiguated ID Type / Status
Subject Officer railway station E631281 entity
Predicate hasMyki P157247 FINISHED
Object yes — 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: yes | Statement: [Officer railway station, hasMyki, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMyki
Context triple: [Officer railway station, hasMyki, yes]
  • A. hasMykiTopUp
    Indicates that an entity has performed or received a Myki card balance top-up transaction.
  • B. hasOpalCard
    Indicates that an entity possesses or is assigned an Opal card.
  • C. hasOpalOrMykiGates chosen
    Indicates that a location or facility is equipped with Opal or Myki ticketing gates for access control or fare validation.
  • D. hasNearbyPass
    Indicates that an entity has at least one pass (e.g., transit or access pass) available within a short or locally defined distance from it.
  • E. hasTicket
    Indicates that an entity possesses or holds a ticket, typically granting access, entry, or a right to a service or event.
  • 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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f650c70d7c819093d9a0f005f7c8d5 completed May 2, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69f64cab1f648190a2a9460690d18a37 completed May 2, 2026, 7:12 p.m.
Created at: April 21, 2026, 12:52 p.m.