Triple

T12870435
Position Surface form Disambiguated ID Type / Status
Subject Archway, London, England E307834 entity
Predicate tubeZone P2160 FINISHED
Object Zone 2 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 2 | Statement: [Archway, London, England, tubeZone, Zone 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tubeZone
Context triple: [Archway, London, England, tubeZone, Zone 2]
  • A. ticketingZoneType
    Indicates the type or category of ticketing zone that applies within a given area or context.
  • B. zonedTo
    Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
  • C. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • D. zoneBased
    Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
  • E. zone chosen
    Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97c7f91d08190aac2f6419d3ba992 completed April 10, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69d96fa55b888190ab1612e93c41aec4 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:38 p.m.