Triple

T21315386
Position Surface form Disambiguated ID Type / Status
Subject Parsons Green tube station E525455 entity
Predicate fareZoneCombination P80296 FINISHED
Object Travelcard Zone 2 NE NERFINISHED

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: Travelcard Zone 2 | Statement: [Parsons Green tube station, fareZoneCombination, Travelcard Zone 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard Zone 2
Context triple: [Parsons Green tube station, fareZoneCombination, Travelcard Zone 2]
  • A. Travelcard Zone 2 chosen
    Travelcard Zone 2 is a London public transport fare zone covering inner suburban areas just outside the city centre, used for pricing journeys on the Underground, Overground, and other services.
  • B. Travelcard Zone 3
    Travelcard Zone 3 is a ring of suburban areas in London used for calculating fares on public transport services such as the Underground, Overground, and buses.
  • C. Travelcard Zone 4
    Travelcard Zone 4 is a London public transport fare zone covering suburban areas beyond the inner city, used to calculate ticket and Travelcard prices on services including the Underground.
  • D. Travelcard Zone 1
    Travelcard Zone 1 is the central London fare zone covering the city’s core Underground and rail stations, including many major commercial, tourist, and transport hubs.
  • E. Travelcard Zone 5
    Travelcard Zone 5 is an outer London public transport fare zone used to calculate ticket and Travelcard prices on services including the London Underground.
  • 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: fareZoneCombination
Context triple: [Parsons Green tube station, fareZoneCombination, Travelcard Zone 2]
  • A. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • B. travelcardZoneCombination chosen
    Indicates the specific combination of fare zones in which a travelcard is valid or applicable.
  • C. fareZoneRange
    Indicates the range of fare zones within which a ticket, pass, or fare rule is valid or applicable.
  • D. fareZoneDescription
    Indicates the textual description of the fare zone associated with a service, location, or segment.
  • E. fareZoneStart
    Indicates the fare zone in which a journey, ticket, or pricing calculation begins.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcf2534819097abbb2e9559e791 completed April 21, 2026, 11:21 a.m.
PD Predicate disambiguation batch_69e61612ab748190a72b8703b938abcb completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 4:28 p.m.