Triple

T16192833
Position Surface form Disambiguated ID Type / Status
Subject Belvedere E392983 entity
Predicate locatedWithinTravelcardZone P844 FINISHED
Object Zone 5 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: Zone 5 | Statement: [Belvedere, locatedWithinTravelcardZone, Zone 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedWithinTravelcardZone
Context triple: [Belvedere, locatedWithinTravelcardZone, Zone 5]
  • A. locatedInTravelcardZoneBoundary
    Indicates that something lies on or within the defined boundary of a specific travelcard fare zone.
  • B. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • C. isWithinLondonFareSystem
    Indicates that an entity (such as a station, stop, or route) is located inside the area covered by the London public transport fare system.
  • D. hasFareZone chosen
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • E. locatedInTransportArea
    Indicates that an entity is situated within a designated transport-related area or zone.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d6975c8190a512a65d5b0021bb completed April 17, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.