Triple

T8193256
Position Surface form Disambiguated ID Type / Status
Subject Visegrád Four E191364 entity
Predicate hasPopulationOfMemberStatesCombinedApprox P3412 FINISHED
Object ~64 million 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: ~64 million | Statement: [Visegrád Four, hasPopulationOfMemberStatesCombinedApprox, ~64 million]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPopulationOfMemberStatesCombinedApprox
Context triple: [Visegrád Four, hasPopulationOfMemberStatesCombinedApprox, ~64 million]
  • A. numberOfMemberStates
    Indicates the total count of member states associated with a given entity or organization.
  • B. hasPopulationApproximate chosen
    Indicates that an entity has an estimated or approximate population size, rather than an exact count.
  • C. hasMembersPerState
    Indicates a relationship that specifies how many members are associated with each state.
  • D. hasPopulationOver
    Indicates that one entity has a population greater than a specified number or than another entity.
  • E. largestStateByPopulation
    Indicates that the subject is the state with the highest population among a specified set of states or within a given region.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c1d7aa48190adbbce88b3bed1a3 completed March 31, 2026, 5:31 a.m.
PD Predicate disambiguation batch_69cb36aac86081909b83636e352e0ced completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:42 p.m.