Triple

T37063048
Position Surface form Disambiguated ID Type / Status
Subject Malaysian passport E917371 entity
Predicate requiresVisaFor P9585 FINISHED
Object some countries 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: some countries | Statement: [Malaysian passport, requiresVisaFor, some countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresVisaFor
Context triple: [Malaysian passport, requiresVisaFor, some countries]
  • 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. supportsVisaOnArrival
    Indicates that a country or authority allows eligible travelers to obtain a visa upon arrival rather than requiring it in advance.
  • D. haveVisaLiberalizationWith
    Indicates that there exists a mutual agreement or policy framework under which entities allow eased or visa-free travel between them.
  • E. allowsVisaFreeAccessFor
    Indicates that one party grants another the ability to enter or stay in its territory without requiring a visa.
  • 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00233e2170819084bee0c8f74cc1a4 completed May 10, 2026, 6:18 a.m.
PD Predicate disambiguation batch_6a0022943fd08190b73007f080d5971d completed May 10, 2026, 6:15 a.m.
Created at: May 3, 2026, 4:14 p.m.