Triple

T12314319
Position Surface form Disambiguated ID Type / Status
Subject North Wembley E293560 entity
Predicate isInLondonFareZone P844 FINISHED
Object true 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: true | Statement: [North Wembley, isInLondonFareZone, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInLondonFareZone
Context triple: [North Wembley, isInLondonFareZone, true]
  • A. 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.
  • B. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • C. hasFareZone chosen
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • D. isInInnerLondon
    Indicates that one location lies within the administrative area defined as Inner London.
  • E. hasFareZoneFeature
    Indicates that an entity is associated with a specific fare zone or fare-related area designation.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.