Triple

T21014638
Position Surface form Disambiguated ID Type / Status
Subject Metro (West Yorkshire) E517640 entity
Predicate usesTicketingScheme P3383 FINISHED
Object MCard
MCard is a smart, multi-operator public transport ticketing card used across West Yorkshire for buses and trains.
E1461808 NE FINISHED

How this triple was built (4 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: MCard | Statement: [Metro (West Yorkshire), usesTicketingScheme, MCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCard
Context triple: [Metro (West Yorkshire), usesTicketingScheme, MCard]
  • A. Metcard
    Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
  • B. Q Card
    Q Card is a contactless smart fare card used for paying public transportation fares in the Houston 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. Credo Card
    Credo Card is a core service philosophy tool used by The Ritz-Carlton Hotel Company to communicate and reinforce its brand standards, values, and commitment to exceptional guest service among employees.
  • E. CharlieCard
    The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MCard
Triple: [Metro (West Yorkshire), usesTicketingScheme, MCard]
Generated description
MCard is a smart, multi-operator public transport ticketing card used across West Yorkshire for buses and trains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCard
Target entity description: MCard is a smart, multi-operator public transport ticketing card used across West Yorkshire for buses and trains.
  • A. Metcard
    Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
  • B. Q Card
    Q Card is a contactless smart fare card used for paying public transportation fares in the Houston 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. Credo Card
    Credo Card is a core service philosophy tool used by The Ritz-Carlton Hotel Company to communicate and reinforce its brand standards, values, and commitment to exceptional guest service among employees.
  • E. CharlieCard
    The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • F. None of above. chosen

Provenance (5 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5764188190829de6f5abd6e00f completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b6369fc81909ff15a48a8a640e2 completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093ed7f68c8190b175251a158cbcc1 completed May 17, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_6a093f3ba1f88190ae07076c83bd0517 completed May 17, 2026, 4:08 a.m.
Created at: April 16, 2026, 1:54 p.m.