Triple

T25447478
Position Surface form Disambiguated ID Type / Status
Subject Nairobi–London E637674 entity
Predicate visaRequirementContext P9585 FINISHED
Object SchengenNotApplicable NE NERFINISHED

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: SchengenNotApplicable | Statement: [Nairobi–London, visaRequirementContext, SchengenNotApplicable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visaRequirementContext
Context triple: [Nairobi–London, visaRequirementContext, SchengenNotApplicable]
  • A. visaRequirement chosen
    Indicates whether one party must obtain a visa in order to enter, stay in, or transit through the territory of another party.
  • B. shareVisaPolicy
    Indicates that two entities apply the same or highly similar visa requirements and entry rules to travelers.
  • C. travelDocumentRequirement
    Indicates that a specific type of travel document is required for an entity (e.g., a person or trip) to undertake or complete a particular journey or border crossing.
  • D. travelRequirement
    Indicates that a certain amount or type of travel is necessary for participating in or fulfilling the associated activity, role, or arrangement.
  • E. haveVisaLiberalizationWith
    Indicates that there exists a mutual agreement or policy framework under which entities allow eased or visa-free travel between them.
  • 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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f70455f48190b23c09dbed884015 completed May 2, 2026, 1:07 p.m.
PD Predicate disambiguation batch_69f4683b34748190818428489a226124 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 2:02 p.m.