Triple

T4104235
Position Surface form Disambiguated ID Type / Status
Subject Leytonstone E88410 entity
Predicate hasRailZone P24188 FINISHED
Object London fare zone 3 E286949 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 3 | Statement: [Leytonstone, hasRailZone, London fare zone 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London fare zone 3
Context triple: [Leytonstone, hasRailZone, London fare zone 3]
  • 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 3 chosen
    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.
  • D. 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.
  • E. 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.
  • 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: hasRailZone
Context triple: [Leytonstone, hasRailZone, London fare zone 3]
  • A. hasRailwayZone chosen
    Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
  • B. hasRackRailway
    Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
  • C. hasRailConfiguration
    Indicates that an entity is associated with, or characterized by, a particular arrangement or setup of rails.
  • D. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • E. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7cdc088190a63f6c6d39ca4350 completed March 14, 2026, 2:06 p.m.
PD Predicate disambiguation batch_69aef90b2ef08190ae84febfd69dd48b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:40 p.m.