Triple

T37443285
Position Surface form Disambiguated ID Type / Status
Subject Henley Passport Index E930475 entity
Predicate excludesFromCriterion P3119 FINISHED
Object e-visas requiring prior approval 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: e-visas requiring prior approval | Statement: [Henley Passport Index, excludesFromCriterion, e-visas requiring prior approval]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludesFromCriterion
Context triple: [Henley Passport Index, excludesFromCriterion, e-visas requiring prior approval]
  • A. isExcludedFor
    Indicates that a particular entity is not allowed, applicable, or considered within a specified context, condition, or set.
  • B. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • C. excludes chosen
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • D. excludesConstruct
    Indicates that one entity explicitly omits, leaves out, or does not incorporate a particular construct in its definition, composition, or scope.
  • E. excludesFromEvidence
    Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
  • 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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb92efc5948190a040ba2028bab964 completed May 6, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69fb8d0b52588190bb29937a43b99b5e completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:17 p.m.