Triple

T4411843
Position Surface form Disambiguated ID Type / Status
Subject Japanese Brazilians E94868 entity
Predicate largestJapaneseDiaspora P9104 FINISHED
Object true 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: true | Statement: [Japanese Brazilians, largestJapaneseDiaspora, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestJapaneseDiaspora
Context triple: [Japanese Brazilians, largestJapaneseDiaspora, true]
  • A. largestCommunityAbroadIn chosen
    Indicates that a given country or group has its largest expatriate or diaspora community located in a specified foreign country.
  • B. hasLargestPopulationOn
    Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
  • C. largestCommunityIn
    Indicates that one community is the largest (by some defined measure, such as population or size) among all communities within a given area or entity.
  • D. largestUrbanConcentrationIn
    Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
  • E. hasLargestCountryByPopulation
    Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e656dc819093ca8395d7334006 completed March 13, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69b34f5b36a881909bf2e970aa523390 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:29 p.m.