Triple

T2634419
Position Surface form Disambiguated ID Type / Status
Subject Travelcard E59709 entity
Predicate hasConcessionVariant P455 FINISHED
Object Student Travelcard E59709 NE FINISHED

How this triple was built (3 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: Student Travelcard | Statement: [Travelcard, hasConcessionVariant, Student Travelcard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Student Travelcard
Context triple: [Travelcard, hasConcessionVariant, Student Travelcard]
  • A. Travelcard chosen
    Travelcard is a ticketing product used across London’s public transport network, allowing unlimited travel within selected zones on services such as the Underground, buses, and trains.
  • B. Transit Access Pass
    Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
  • C. Oyster card
    The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
  • D. ORCA card
    The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
  • E. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConcessionVariant
Context triple: [Travelcard, hasConcessionVariant, Student Travelcard]
  • A. hasConcessions
    Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
  • B. hasConcessionaire
    Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
  • C. concessionType
    Indicates the specific kind or category of concession (such as a discount, exemption, or special allowance) that applies in a given context.
  • D. concessionExtended
    Indicates that one party has granted or prolonged a special allowance, discount, or favorable term to another party.
  • E. hasVariant chosen
    Indicates that one entity exists as an alternative form, version, or variation of another entity.
  • F. None of above.

Provenance (4 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e085b0819089db4103c0d8cd9b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69abd812849881908f956845a80e0205 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.