Triple

T14174241
Position Surface form Disambiguated ID Type / Status
Subject ZMH E351290 entity
Predicate fareZoneOfStation P69645 FINISHED
Object Travelcard Zone 1 E303936 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: Travelcard Zone 1 | Statement: [ZMH, fareZoneOfStation, Travelcard Zone 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard Zone 1
Context triple: [ZMH, fareZoneOfStation, Travelcard Zone 1]
  • A. Travelcard Zone 1 chosen
    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.
  • B. Travelcard Zones 1–5
    Travelcard Zones 1–5 are a set of concentric public transport fare zones in London covering central and much of suburban Greater London for use on services such as the Underground, buses, and trains.
  • C. Travelcard Zone 2
    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.
  • D. 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.
  • E. 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.
  • 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: fareZoneOfStation
Context triple: [ZMH, fareZoneOfStation, Travelcard Zone 1]
  • A. fareZoneIncludes chosen
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • B. fareZoneDescription
    Indicates the textual description of the fare zone associated with a service, location, or segment.
  • C. fareZoneRange
    Indicates the range of fare zones within which a ticket, pass, or fare rule is valid or applicable.
  • D. fareZoneStart
    Indicates the fare zone in which a journey, ticket, or pricing calculation begins.
  • E. fareZoneEnd
    Indicates the ending boundary or final zone in a defined fare zone range for a trip or ticket.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280656a881909c565b99e85ae9bd completed May 8, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:01 a.m.