Triple

T5760061
Position Surface form Disambiguated ID Type / Status
Subject Sloane Square E127068 entity
Predicate hasPublicTransportZone P17300 FINISHED
Object London fare 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: London fare zone 1 | Statement: [Sloane Square, hasPublicTransportZone, London fare zone 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London fare zone 1
Context triple: [Sloane Square, hasPublicTransportZone, London fare zone 1]
  • A. London fare zone 4
    London fare zone 4 is a mid-range public transport tariff zone in Greater London used to calculate fares on services such as the Underground, Overground, and National Rail.
  • B. London fare zones
    London fare zones are the concentric geographic pricing areas used by Transport for London to determine ticket and travel costs across the city’s public transport network.
  • C. 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.
  • D. 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.
  • 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: hasPublicTransportZone
Context triple: [Sloane Square, hasPublicTransportZone, London fare zone 1]
  • A. publicTransportZone chosen
    Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
  • B. hasPublicTransportStop
    Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
  • C. hasPublicTransitRole
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • D. hasPublicTransportConnection
    Indicates that there is an available public transportation link or service connecting the related entities.
  • E. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02938972c8190992149ea943f87bf completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e507d348190a983a4c127b78de0 completed March 22, 2026, 11:42 p.m.
PD Predicate disambiguation batch_69c021cc68648190bb86d049ebe80f12 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.