Triple

T21391191
Position Surface form Disambiguated ID Type / Status
Subject Old Street station E527652 entity
Predicate isInTicketingZone P844 FINISHED
Object Travelcard Zone 1 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 1 | Statement: [Old Street station, isInTicketingZone, Travelcard Zone 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard Zone 1
Context triple: [Old Street station, isInTicketingZone, 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: isInTicketingZone
Context triple: [Old Street station, isInTicketingZone, Travelcard Zone 1]
  • A. isWithinFareSystem
    Indicates that one transportation service, route, or area operates under and is covered by a specified fare or ticketing system.
  • B. hasFareZone chosen
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • D. hasTicketGatesLocation
    Indicates that a place or facility has ticket gates located at or within a specified location.
  • E. hasTicketCollectorArea
    Indicates that a location or facility includes a designated area where ticket collectors operate or perform their duties.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b113690c81909c0a378fddba5d3a completed April 22, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69e6162bbfc88190a3e75859941b2638 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:13 p.m.