Triple

T35264893
Position Surface form Disambiguated ID Type / Status
Subject King Henry's Drive tram stop E1018480 entity
Predicate publicTransportZoneSystem P72429 FINISHED
Object London fare zones LITERAL FINISHED

How this triple was built (2 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 zones | Statement: [King Henry's Drive tram stop, publicTransportZoneSystem, London fare zones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransportZoneSystem
Context triple: [King Henry's Drive tram stop, publicTransportZoneSystem, London fare zones]
  • A. publicTransportZone
    Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
  • B. publicTransportArea
    Indicates that a location or region is designated for or associated with public transportation services or facilities.
  • C. partOfTransitSystem
    Indicates that something is a component or segment within a larger transit or transportation system.
  • D. publicTransportAuthority
    Indicates that one entity serves as the governing or managing authority responsible for overseeing public transportation services related to another entity.
  • E. hasFareZoneSystem chosen
    Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
  • 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_69f76de4be5c8190a51705c07612cac8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: May 3, 2026, 4:02 p.m.