Triple

T16603616
Position Surface form Disambiguated ID Type / Status
Subject Queensland Rail E403393 entity
Predicate fareSystem P395 FINISHED
Object go card E872510 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: go card | Statement: [Queensland Rail, fareSystem, go card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: go card
Context triple: [Queensland Rail, fareSystem, go card]
  • A. go card chosen
    The go card is a rechargeable smartcard used for electronic ticketing on public transport services across Brisbane and the wider South East Queensland region.
  • B. Go-To Card
    The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
  • C. ConnectCard
    ConnectCard is a reusable smart fare card used by Pittsburgh Regional Transit riders to pay for public transportation across the Pittsburgh area.
  • D. Card Gym
    Card Gym is an athletic facility on Duke University's West Campus used primarily for physical education, recreation, and sports activities.
  • E. Go CT Card
    Go CT Card is a contactless smart fare card used for paying bus and transit fares across the CTtransit public transportation network in Connecticut.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d77d97c8190a63330897e49a9c9 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a67abc8190b0f29a9e4589befb completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.